Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope–Evros region, Greece

The present study introduces a multi-criteria index to assess flood hazard areas in a regional scale. Accordingly, a Flood Hazard Index (FHI) has been defined and a spatial analysis in a GIS environment has been applied for the estimation of its value. The developed methodology processes information...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	The Science of the total environment Jg. 538; S. 555 - 563
Hauptverfasser:	Kazakis, Nerantzis, Kougias, Ioannis, Patsialis, Thomas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 15.12.2015
Schlagworte:	Analytic hierarchy process Analytical Hierarchy Process analytical methods Criteria drainage Flood hazards Flood mapping Flood prone areas Floods geographic information systems GIS analysis Greece Hazard assessment land use Methodology operations research rain intensity Regional Sensitivity analysis MED, Greece Greece Flood prone areas GIS analysis Sensitivity analysis Flood hazards Analytical Hierarchy Process
ISSN:	0048-9697, 1879-1026, 1879-1026
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Abstract	The present study introduces a multi-criteria index to assess flood hazard areas in a regional scale. Accordingly, a Flood Hazard Index (FHI) has been defined and a spatial analysis in a GIS environment has been applied for the estimation of its value. The developed methodology processes information of seven parameters namely flow accumulation, distance from the drainage network, elevation, land use, rainfall intensity and geology. The initials of these criteria gave the name to the developed method: “FIGUSED”. The relative importance of each parameter for the occurrence and severity of flood has been connected to weight values. These values are calculated following an “Analytical Hierarchy Process”, a method originally developed for the solution of Operational Research problems. According to their weight values, information of the different parameters is superimposed, resulting to flood hazard mapping. The accuracy of the method has been supported by a sensitivity analysis that examines a range for the weights' values and corresponding to alternative scenarios. The presented methodology has been applied to an area in north-eastern Greece, where recurring flood events have appeared. Initially FIGUSED method resulted to a Flood Hazard Index (FHI) and a corresponding flood map. A sensitivity analysis on the parameters' values revealed some interesting information on the relative importance of each criterion, presented and commented in the Discussion section. Moreover, the sensitivity analysis concluded to a revised index FHIS (methodology named FIGUSED-S) and flood mapping, supporting the robustness of FIGUSED methodology. A comparison of the outcome with records of historical flood events confirmed that the proposed methodology provides valid results. [Display omitted] •Literature review of spatial, GIS-based methods for flood exposure assessment.•Development of an index-based methodology to assess the flood hazard areas.•The methodology analyzes 7 parameters to assess flood exposure.•Analytical Hierarchy Process is used to estimate the weights of the parameters.•A sensitivity analysis results to a second more reliable index (FHIS).
AbstractList	The present study introduces a multi-criteria index to assess flood hazard areas in a regional scale. Accordingly, a Flood Hazard Index (FHI) has been defined and a spatial analysis in a GIS environment has been applied for the estimation of its value. The developed methodology processes information of seven parameters namely flow accumulation, distance from the drainage network, elevation, land use, rainfall intensity and geology. The initials of these criteria gave the name to the developed method: "FIGUSED". The relative importance of each parameter for the occurrence and severity of flood has been connected to weight values. These values are calculated following an "Analytical Hierarchy Process", a method originally developed for the solution of Operational Research problems. According to their weight values, information of the different parameters is superimposed, resulting to flood hazard mapping. The accuracy of the method has been supported by a sensitivity analysis that examines a range for the weights' values and corresponding to alternative scenarios. The presented methodology has been applied to an area in north-eastern Greece, where recurring flood events have appeared. Initially FIGUSED method resulted to a Flood Hazard Index (FHI) and a corresponding flood map. A sensitivity analysis on the parameters' values revealed some interesting information on the relative importance of each criterion, presented and commented in the Discussion section. Moreover, the sensitivity analysis concluded to a revised index FHIS (methodology named FIGUSED-S) and flood mapping, supporting the robustness of FIGUSED methodology. A comparison of the outcome with records of historical flood events confirmed that the proposed methodology provides valid results. The present study introduces a multi-criteria index to assess flood hazard areas in a regional scale. Accordingly, a Flood Hazard Index (FHI) has been defined and a spatial analysis in a GIS environment has been applied for the estimation of its value. The developed methodology processes information of seven parameters namely flow accumulation, distance from the drainage network, elevation, land use, rainfall intensity and geology. The initials of these criteria gave the name to the developed method: “FIGUSED”. The relative importance of each parameter for the occurrence and severity of flood has been connected to weight values. These values are calculated following an “Analytical Hierarchy Process”, a method originally developed for the solution of Operational Research problems. According to their weight values, information of the different parameters is superimposed, resulting to flood hazard mapping. The accuracy of the method has been supported by a sensitivity analysis that examines a range for the weights' values and corresponding to alternative scenarios. The presented methodology has been applied to an area in north-eastern Greece, where recurring flood events have appeared. Initially FIGUSED method resulted to a Flood Hazard Index (FHI) and a corresponding flood map. A sensitivity analysis on the parameters' values revealed some interesting information on the relative importance of each criterion, presented and commented in the Discussion section. Moreover, the sensitivity analysis concluded to a revised index FHIS (methodology named FIGUSED-S) and flood mapping, supporting the robustness of FIGUSED methodology. A comparison of the outcome with records of historical flood events confirmed that the proposed methodology provides valid results. [Display omitted] •Literature review of spatial, GIS-based methods for flood exposure assessment.•Development of an index-based methodology to assess the flood hazard areas.•The methodology analyzes 7 parameters to assess flood exposure.•Analytical Hierarchy Process is used to estimate the weights of the parameters.•A sensitivity analysis results to a second more reliable index (FHIS). The present study introduces a multi-criteria index to assess flood hazard areas in a regional scale. Accordingly, a Flood Hazard Index (FHI) has been defined and a spatial analysis in a GIS environment has been applied for the estimation of its value. The developed methodology processes information of seven parameters namely flow accumulation, distance from the drainage network, elevation, land use, rainfall intensity and geology. The initials of these criteria gave the name to the developed method: "FIGUSED". The relative importance of each parameter for the occurrence and severity of flood has been connected to weight values. These values are calculated following an "Analytical Hierarchy Process", a method originally developed for the solution of Operational Research problems. According to their weight values, information of the different parameters is superimposed, resulting to flood hazard mapping. The accuracy of the method has been supported by a sensitivity analysis that examines a range for the weights' values and corresponding to alternative scenarios. The presented methodology has been applied to an area in north-eastern Greece, where recurring flood events have appeared. Initially FIGUSED method resulted to a Flood Hazard Index (FHI) and a corresponding flood map. A sensitivity analysis on the parameters' values revealed some interesting information on the relative importance of each criterion, presented and commented in the Discussion section. Moreover, the sensitivity analysis concluded to a revised index FHIS (methodology named FIGUSED-S) and flood mapping, supporting the robustness of FIGUSED methodology. A comparison of the outcome with records of historical flood events confirmed that the proposed methodology provides valid results.The present study introduces a multi-criteria index to assess flood hazard areas in a regional scale. Accordingly, a Flood Hazard Index (FHI) has been defined and a spatial analysis in a GIS environment has been applied for the estimation of its value. The developed methodology processes information of seven parameters namely flow accumulation, distance from the drainage network, elevation, land use, rainfall intensity and geology. The initials of these criteria gave the name to the developed method: "FIGUSED". The relative importance of each parameter for the occurrence and severity of flood has been connected to weight values. These values are calculated following an "Analytical Hierarchy Process", a method originally developed for the solution of Operational Research problems. According to their weight values, information of the different parameters is superimposed, resulting to flood hazard mapping. The accuracy of the method has been supported by a sensitivity analysis that examines a range for the weights' values and corresponding to alternative scenarios. The presented methodology has been applied to an area in north-eastern Greece, where recurring flood events have appeared. Initially FIGUSED method resulted to a Flood Hazard Index (FHI) and a corresponding flood map. A sensitivity analysis on the parameters' values revealed some interesting information on the relative importance of each criterion, presented and commented in the Discussion section. Moreover, the sensitivity analysis concluded to a revised index FHIS (methodology named FIGUSED-S) and flood mapping, supporting the robustness of FIGUSED methodology. A comparison of the outcome with records of historical flood events confirmed that the proposed methodology provides valid results.
Author	Patsialis, Thomas Kazakis, Nerantzis Kougias, Ioannis
Author_xml	– sequence: 1 givenname: Nerantzis surname: Kazakis fullname: Kazakis, Nerantzis organization: Laboratory of Engineering Geology and Hydrogeology, Department of Geology, Aristotle University of Thessaloniki, Greece – sequence: 2 givenname: Ioannis orcidid: 0000-0002-5655-4462 surname: Kougias fullname: Kougias, Ioannis email: Ioannis.Kougias@ec.europa.eu organization: Renewables and Energy Efficiency Unit, Institute for Energy & Transport, European Commission DG-Joint Research Centre, Ispra, Italy – sequence: 3 givenname: Thomas surname: Patsialis fullname: Patsialis, Thomas organization: Division of Hydraulics and Environmental Engineering, Department of Civil Engineering, Aristotle University of Thessaloniki, Greece
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/26318691$$D View this record in MEDLINE/PubMed
BookMark	eNqNks1uEzEUhS1URNPCK4CXLJhgj-OxB4lFVPUHqRIIwdry2HcaR5PxYE8iwop36BvwaDwJNyRlwSb1xpL93XPte84ZOeljD4S84mzKGa_eLqfZhTGO0G-mJeNyyvSUSfmETLhWdcFZWZ2QCWMzXdRVrU7JWc5Lhktp_oyclpXguqr5hPya5ww5r6AfaWxp28Xo6cL-sMlTm8BmakdqaYK7EHvb0exsB3SdQ39HbU9D7-F70dgMiA9DitYt8NzTOcLbMSBNbwIkm9xiSz-l6LDZOzofhg7vRtRECfp5EX0c4PfP-8tNivnQ7Q29TgAOnpOnre0yvDjs5-Tr1eWXi5vi9uP1h4v5beGklmOhGlk2UmnP7axmzlmv21bbmZcgbQ1K1TPBXAO6bnAi2lrR4pkQoqxAt40Q5-T1Xhe_8W0NeTSrkB10ne0hrrPhWlSVVJLp46iqSo5G1ewRaKnwPUo_RrXkouJczBB9eUDXzQq8GVJY2bQ1D8Yi8H4POBxoTtAazMvfgY_Jhs5wZnZBMkvzL0hmFyTDtMEgYb36r_6hxfHK-b4S0KsNer_joHfgQwI3Gh_DUY0_Psbqmw
CitedBy_id	crossref_primary_10_1007_s10661_022_10693_6 crossref_primary_10_1080_15715124_2019_1683855 crossref_primary_10_1016_j_jclepro_2024_142985 crossref_primary_10_1007_s00477_024_02816_x crossref_primary_10_1016_j_scitotenv_2017_10_037 crossref_primary_10_1061__ASCE_NH_1527_6996_0000310 crossref_primary_10_1016_j_psep_2024_01_091 crossref_primary_10_1007_s13201_024_02172_9 crossref_primary_10_3390_urbansci8030096 crossref_primary_10_1016_j_geomorph_2019_106861 crossref_primary_10_1007_s12665_023_11077_w crossref_primary_10_1016_j_scitotenv_2018_04_282 crossref_primary_10_1016_j_agrformet_2019_02_002 crossref_primary_10_1080_19475705_2019_1692079 crossref_primary_10_1680_jenes_16_00017 crossref_primary_10_1016_j_landusepol_2020_104829 crossref_primary_10_1016_j_ecoleng_2020_105765 crossref_primary_10_1007_s12517_018_3584_5 crossref_primary_10_1080_10106049_2023_2285355 crossref_primary_10_1007_s41976_025_00226_3 crossref_primary_10_1007_s10708_023_10948_w crossref_primary_10_1061_NHREFO_NHENG_1665 crossref_primary_10_1016_j_scitotenv_2017_09_262 crossref_primary_10_3390_su16167101 crossref_primary_10_1007_s11356_023_29066_8 crossref_primary_10_1080_1573062X_2022_2162424 crossref_primary_10_3390_w12040985 crossref_primary_10_1016_j_ecohyd_2024_03_008 crossref_primary_10_1016_j_jhydrol_2019_03_002 crossref_primary_10_1007_s11069_020_04161_y crossref_primary_10_3390_w15234138 crossref_primary_10_3389_frwa_2024_1387741 crossref_primary_10_3390_su10020304 crossref_primary_10_3390_w14233869 crossref_primary_10_1007_s12524_024_02065_z crossref_primary_10_1007_s11356_022_23441_7 crossref_primary_10_1007_s11069_023_06232_2 crossref_primary_10_1007_s11600_019_00342_x crossref_primary_10_1007_s13201_024_02293_1 crossref_primary_10_3390_w15101943 crossref_primary_10_3390_w16182592 crossref_primary_10_1016_j_scitotenv_2025_179469 crossref_primary_10_1016_j_scitotenv_2020_140011 crossref_primary_10_1007_s00477_017_1431_y crossref_primary_10_1007_s12665_018_7381_y crossref_primary_10_1111_risa_13493 crossref_primary_10_3390_w11020364 crossref_primary_10_1051_e3sconf_202344701017 crossref_primary_10_1016_j_renene_2018_08_105 crossref_primary_10_1007_s11069_017_3024_y crossref_primary_10_1016_j_jenvman_2024_120624 crossref_primary_10_2166_wcc_2021_133 crossref_primary_10_1007_s12524_022_01610_y crossref_primary_10_1016_j_jhydrol_2016_06_027 crossref_primary_10_3166_rig_2019_00093 crossref_primary_10_1080_02626667_2023_2220885 crossref_primary_10_3390_land11081178 crossref_primary_10_1016_j_ijdrr_2022_103069 crossref_primary_10_1007_s10661_024_12482_9 crossref_primary_10_1016_j_ecohyd_2024_06_002 crossref_primary_10_1016_j_jafrearsci_2022_104709 crossref_primary_10_1016_j_jhydrol_2019_124482 crossref_primary_10_1088_1755_1315_1382_1_012002 crossref_primary_10_1007_s12665_024_11988_2 crossref_primary_10_1016_j_scitotenv_2023_162315 crossref_primary_10_1007_s41976_019_00018_6 crossref_primary_10_1007_s42452_023_05360_5 crossref_primary_10_1016_j_geosus_2024_100261 crossref_primary_10_1016_j_scitotenv_2019_01_021 crossref_primary_10_1007_s10708_019_10075_5 crossref_primary_10_1007_s13201_022_01772_7 crossref_primary_10_1007_s12517_021_07263_4 crossref_primary_10_2166_wpt_2025_039 crossref_primary_10_1007_s12145_020_00457_6 crossref_primary_10_3389_frwa_2025_1465505 crossref_primary_10_1016_j_culher_2022_09_017 crossref_primary_10_1016_j_jhydrol_2022_128312 crossref_primary_10_3390_app10207142 crossref_primary_10_1134_S1064229324602063 crossref_primary_10_1089_ees_2018_0493 crossref_primary_10_1080_14498596_2023_2236051 crossref_primary_10_3390_rs12071201 crossref_primary_10_1007_s11069_023_05942_x crossref_primary_10_1007_s11069_025_07533_4 crossref_primary_10_1371_journal_pone_0170012 crossref_primary_10_1080_10106049_2018_1469676 crossref_primary_10_1007_s11629_023_8142_2 crossref_primary_10_1007_s13369_020_04351_7 crossref_primary_10_1016_j_scitotenv_2022_157976 crossref_primary_10_1038_s43247_025_02669_4 crossref_primary_10_1080_17499518_2021_1952607 crossref_primary_10_3390_su10103697 crossref_primary_10_3390_ijgi10090578 crossref_primary_10_3390_w9060360 crossref_primary_10_1007_s11069_022_05628_w crossref_primary_10_1016_j_ecolind_2023_111086 crossref_primary_10_1016_j_ijdrr_2024_104536 crossref_primary_10_1080_02626667_2020_1764960 crossref_primary_10_1007_s12665_025_12393_z crossref_primary_10_24057_2071_9388_2020_48 crossref_primary_10_1007_s11069_016_2357_2 crossref_primary_10_1016_j_jhydrol_2019_05_046 crossref_primary_10_3390_ijgi13110387 crossref_primary_10_3390_land12071408 crossref_primary_10_1080_14498596_2024_2409083 crossref_primary_10_1016_j_envsoft_2016_03_009 crossref_primary_10_1088_1755_1315_652_1_012003 crossref_primary_10_1016_j_jclepro_2018_06_047 crossref_primary_10_1080_19475705_2024_2396892 crossref_primary_10_1016_j_jenvman_2019_01_069 crossref_primary_10_3390_su10030780 crossref_primary_10_1080_10106049_2022_2066200 crossref_primary_10_3390_w17101494 crossref_primary_10_1007_s11069_023_06264_8 crossref_primary_10_3390_rs12020266 crossref_primary_10_1007_s00477_017_1429_5 crossref_primary_10_1111_risa_12698 crossref_primary_10_1007_s41748_021_00221_w crossref_primary_10_1016_j_gsd_2025_101507 crossref_primary_10_3390_w17070937 crossref_primary_10_3390_rs14143451 crossref_primary_10_1007_s12517_021_08610_1 crossref_primary_10_1109_JSTARS_2020_3045278 crossref_primary_10_1007_s11069_024_06541_0 crossref_primary_10_1016_j_jhydrol_2022_128055 crossref_primary_10_1016_j_envsoft_2025_106461 crossref_primary_10_1088_1748_9326_ab8092 crossref_primary_10_3390_w12061702 crossref_primary_10_3390_w8070270 crossref_primary_10_1016_j_scitotenv_2019_134179 crossref_primary_10_3390_rs12203423 crossref_primary_10_1016_j_proeng_2018_01_044 crossref_primary_10_3390_su11102738 crossref_primary_10_3390_su151410936 crossref_primary_10_1007_s11069_025_07401_1 crossref_primary_10_1016_j_rines_2025_100079 crossref_primary_10_3390_w15050902 crossref_primary_10_1007_s11069_023_05915_0 crossref_primary_10_1007_s10661_022_10845_8 crossref_primary_10_3390_w11112203 crossref_primary_10_3390_w16162283 crossref_primary_10_20965_jdr_2018_p0050 crossref_primary_10_2166_wcc_2022_029 crossref_primary_10_1038_s41598_023_32149_8 crossref_primary_10_1016_j_geogeo_2023_100250 crossref_primary_10_1111_jfr3_12879 crossref_primary_10_1016_j_jafrearsci_2021_104281 crossref_primary_10_1007_s12517_021_07324_8 crossref_primary_10_3390_ijgi12110463 crossref_primary_10_1016_j_pdisas_2025_100462 crossref_primary_10_1007_s11069_020_04272_6 crossref_primary_10_1016_j_pdisas_2021_100187 crossref_primary_10_1051_e3sconf_202447601067 crossref_primary_10_14358_PERS_21_00087R2 crossref_primary_10_1007_s41101_025_00418_4 crossref_primary_10_1016_j_nhres_2025_07_002 crossref_primary_10_1007_s12517_019_4754_9 crossref_primary_10_3390_w14162513 crossref_primary_10_1016_j_jhydrol_2023_129116 crossref_primary_10_1371_journal_pone_0185006 crossref_primary_10_1080_19475705_2024_2423739 crossref_primary_10_1111_jfr3_12858 crossref_primary_10_3390_w15122195 crossref_primary_10_1016_j_pce_2022_103235 crossref_primary_10_1080_10106049_2022_2076910 crossref_primary_10_1007_s11600_021_00615_4 crossref_primary_10_1007_s12524_023_01697_x crossref_primary_10_1007_s11069_024_06718_7 crossref_primary_10_1016_j_kscej_2025_100411 crossref_primary_10_1038_s41598_023_32829_5 crossref_primary_10_5194_hess_23_4293_2019 crossref_primary_10_1007_s11069_025_07108_3 crossref_primary_10_1016_j_gsf_2021_101206 crossref_primary_10_3390_hydrology7010010 crossref_primary_10_3390_land14030658 crossref_primary_10_1080_10106049_2022_2025918 crossref_primary_10_1186_s40677_018_0113_5 crossref_primary_10_1016_j_catena_2019_04_032 crossref_primary_10_1088_1755_1315_166_1_012035 crossref_primary_10_1016_j_jhydrol_2021_126846 crossref_primary_10_3390_infrastructures4030038 crossref_primary_10_1016_j_ecolind_2023_110653 crossref_primary_10_1016_j_scitotenv_2020_139937 crossref_primary_10_1111_jfr3_12620 crossref_primary_10_3390_su14159792 crossref_primary_10_1007_s11069_018_3208_0 crossref_primary_10_1016_j_ijdrr_2024_104542 crossref_primary_10_1088_1757_899X_1163_1_012025 crossref_primary_10_1016_j_jafrearsci_2019_103709 crossref_primary_10_1007_s00477_019_01689_9 crossref_primary_10_1111_jfr3_12607 crossref_primary_10_1016_j_proeng_2018_01_065 crossref_primary_10_1007_s12665_022_10696_z crossref_primary_10_1016_j_nhres_2025_02_002 crossref_primary_10_3390_su17188188 crossref_primary_10_1007_s41748_021_00276_9 crossref_primary_10_1016_j_geogeo_2023_100233 crossref_primary_10_1080_10106049_2022_2102236 crossref_primary_10_1016_j_jenvman_2023_118846 crossref_primary_10_1007_s12145_023_01013_8 crossref_primary_10_3390_w10070893 crossref_primary_10_1016_j_ijdrr_2024_104578 crossref_primary_10_1016_j_catena_2020_104536 crossref_primary_10_3390_su142114183 crossref_primary_10_1016_j_geomorph_2021_107858 crossref_primary_10_1088_1748_9326_ad4402 crossref_primary_10_1007_s11069_020_04406_w crossref_primary_10_1007_s13157_024_01849_w crossref_primary_10_1080_15732479_2023_2276373 crossref_primary_10_1080_09640568_2020_1775561 crossref_primary_10_1177_09754253211042489 crossref_primary_10_12804_revistas_urosario_edu_co_territorios_a_12321 crossref_primary_10_3390_su13073736 crossref_primary_10_1016_j_ijdrr_2017_03_007 crossref_primary_10_1007_s12524_020_01106_7 crossref_primary_10_1016_j_heliyon_2022_e10759 crossref_primary_10_3390_w11071321 crossref_primary_10_3390_w14223771 crossref_primary_10_1016_j_jafrearsci_2023_105102 crossref_primary_10_1016_j_rsase_2020_100445 crossref_primary_10_1038_s41598_018_33755_7 crossref_primary_10_3390_agriculture12040484 crossref_primary_10_3390_w17142155 crossref_primary_10_1016_j_scitotenv_2019_135983 crossref_primary_10_3390_hydrology10070136 crossref_primary_10_1007_s11069_019_03615_2 crossref_primary_10_1016_j_nhres_2025_06_003 crossref_primary_10_1111_tgis_12715 crossref_primary_10_1016_j_envsoft_2017_06_012 crossref_primary_10_3390_ijgi9110662 crossref_primary_10_1007_s11069_023_06089_5 crossref_primary_10_1007_s10661_021_08988_1 crossref_primary_10_1016_j_ijdrr_2022_102944 crossref_primary_10_1016_j_scitotenv_2016_02_025 crossref_primary_10_3390_geosciences13120382 crossref_primary_10_1016_j_jenvman_2020_110521 crossref_primary_10_3389_fenvs_2023_1247753 crossref_primary_10_1007_s41204_020_00073_1 crossref_primary_10_1016_j_asoc_2023_110846 crossref_primary_10_1016_j_scitotenv_2017_05_197 crossref_primary_10_1016_j_scitotenv_2023_162285 crossref_primary_10_1016_j_gsd_2024_101319 crossref_primary_10_1016_j_scitotenv_2019_02_328 crossref_primary_10_1007_s11069_020_04481_z crossref_primary_10_1007_s11069_024_06677_z crossref_primary_10_3390_w16213019 crossref_primary_10_1007_s10452_023_10056_4 crossref_primary_10_3390_su8090948 crossref_primary_10_1007_s11069_024_06614_0 crossref_primary_10_1016_j_jhydrol_2022_128268 crossref_primary_10_1016_j_eiar_2020_106397 crossref_primary_10_1016_j_scitotenv_2018_01_138 crossref_primary_10_1515_comp_2020_0213 crossref_primary_10_1002_hyp_14960 crossref_primary_10_1080_10106049_2021_1974959 crossref_primary_10_1016_j_envsci_2016_05_020 crossref_primary_10_18359_rcin_7192 crossref_primary_10_1007_s11069_021_04878_4 crossref_primary_10_1007_s40710_024_00683_w crossref_primary_10_3390_w11101969 crossref_primary_10_1080_15567036_2020_1834030 crossref_primary_10_3390_w15152802 crossref_primary_10_1007_s11356_024_33895_6 crossref_primary_10_1007_s11069_021_04871_x crossref_primary_10_3390_w11091887 crossref_primary_10_1088_1748_9326_ac263e crossref_primary_10_1111_risa_13743 crossref_primary_10_3389_fevo_2022_699201 crossref_primary_10_1016_j_jhydrol_2023_129267 crossref_primary_10_1007_s12145_022_00872_x crossref_primary_10_1016_j_scitotenv_2015_12_152 crossref_primary_10_3390_w13141935 crossref_primary_10_1016_j_scitotenv_2017_03_216 crossref_primary_10_3390_w12030683 crossref_primary_10_1016_j_ecoinf_2021_101349 crossref_primary_10_1007_s40996_023_01055_4 crossref_primary_10_1007_s11069_022_05701_4 crossref_primary_10_1155_2023_1675634 crossref_primary_10_1061_JUPDDM_UPENG_5254 crossref_primary_10_1016_j_resconrec_2020_104851 crossref_primary_10_1080_19475705_2024_2361807 crossref_primary_10_1007_s00477_024_02677_4 crossref_primary_10_1016_j_ijdrr_2022_103218 crossref_primary_10_1007_s12517_019_5024_6 crossref_primary_10_1007_s40710_025_00766_2 crossref_primary_10_5194_hess_26_4345_2022 crossref_primary_10_1016_j_heliyon_2024_e33982 crossref_primary_10_1007_s10661_023_12242_1 crossref_primary_10_1007_s12665_017_6963_4 crossref_primary_10_1007_s11069_023_06027_5 crossref_primary_10_2112_JCOASTRES_D_22_00019_1 crossref_primary_10_1080_15324982_2023_2235315 crossref_primary_10_1007_s10668_022_02327_1 crossref_primary_10_1080_10106049_2019_1566405 crossref_primary_10_1016_j_scitotenv_2017_10_114 crossref_primary_10_3389_frwa_2024_1388003 crossref_primary_10_3390_app13106199 crossref_primary_10_3390_su12041451 crossref_primary_10_1016_j_jhydrol_2020_125051 crossref_primary_10_1007_s10661_022_10111_x crossref_primary_10_1007_s11269_022_03416_6 crossref_primary_10_1080_10106049_2021_1923834 crossref_primary_10_1080_23792949_2017_1338523 crossref_primary_10_1007_s11269_021_02794_7 crossref_primary_10_1007_s10668_020_00651_y crossref_primary_10_1186_s40494_023_00926_3 crossref_primary_10_1007_s00477_022_02179_1 crossref_primary_10_1007_s11069_024_07100_3 crossref_primary_10_1016_j_jhydrol_2020_125615 crossref_primary_10_1016_j_scitotenv_2018_12_118 crossref_primary_10_1088_1742_6596_1434_1_012006 crossref_primary_10_1088_1757_899X_875_1_012051 crossref_primary_10_33904_ejfe_1527247 crossref_primary_10_3390_rs11010098 crossref_primary_10_1007_s11069_025_07212_4 crossref_primary_10_1016_j_jhydrol_2022_128456 crossref_primary_10_1016_j_jhydrol_2018_01_033 crossref_primary_10_1016_j_catena_2019_104450 crossref_primary_10_1007_s42108_024_00311_1 crossref_primary_10_1007_s12518_022_00429_z crossref_primary_10_1016_j_pce_2019_10_002 crossref_primary_10_1016_j_scitotenv_2017_12_256 crossref_primary_10_1108_IJDRBE_03_2022_0028 crossref_primary_10_3390_rs16132332 crossref_primary_10_1007_s11069_020_03898_w crossref_primary_10_1007_s12665_025_12129_z crossref_primary_10_1080_15715124_2020_1830786 crossref_primary_10_1007_s11356_023_29132_1 crossref_primary_10_3390_rs13234761 crossref_primary_10_1016_j_gsf_2021_101175 crossref_primary_10_1080_10106049_2019_1687595 crossref_primary_10_3390_su142013284 crossref_primary_10_1016_j_heliyon_2023_e14520 crossref_primary_10_1007_s41748_021_00235_4 crossref_primary_10_3390_atmos16010022 crossref_primary_10_1016_j_jhydrol_2019_04_072 crossref_primary_10_1007_s11069_024_06594_1 crossref_primary_10_1007_s40808_020_00997_2 crossref_primary_10_1007_s11069_020_04387_w crossref_primary_10_3390_su131810232 crossref_primary_10_3390_w12123483 crossref_primary_10_3390_w17060844 crossref_primary_10_1007_s10661_016_5665_9 crossref_primary_10_1007_s11069_019_03850_7 crossref_primary_10_1051_e3sconf_202336402005 crossref_primary_10_1007_s10668_023_02957_z crossref_primary_10_1007_s12517_020_06297_4 crossref_primary_10_33889_IJMEMS_2022_7_6_056 crossref_primary_10_3390_su16103934 crossref_primary_10_3390_w12092379 crossref_primary_10_1016_j_eswa_2022_118566 crossref_primary_10_1016_j_pce_2025_103948 crossref_primary_10_1016_j_eiar_2022_106953 crossref_primary_10_3390_rs11010062 crossref_primary_10_1007_s11069_022_05250_w crossref_primary_10_1080_24749508_2019_1600912 crossref_primary_10_1108_IJDRBE_09_2020_0099 crossref_primary_10_1007_s11069_019_03571_x crossref_primary_10_1007_s11600_021_00586_6 crossref_primary_10_1007_s12594_023_2512_9 crossref_primary_10_1007_s40808_021_01348_5 crossref_primary_10_3390_geosciences8020050 crossref_primary_10_1007_s11600_025_01595_5 crossref_primary_10_3390_hydrology8040159 crossref_primary_10_1016_j_rsase_2019_02_006 crossref_primary_10_5194_nhess_18_1159_2018 crossref_primary_10_1016_j_jenvman_2024_123094 crossref_primary_10_5194_nhess_21_1551_2021 crossref_primary_10_3389_fevo_2022_1002231 crossref_primary_10_1016_j_scitotenv_2019_02_422 crossref_primary_10_1080_10106049_2022_2093990 crossref_primary_10_1007_s11069_019_03737_7 crossref_primary_10_1016_j_gsf_2020_10_007 crossref_primary_10_1016_j_hssust_2025_07_001 crossref_primary_10_1007_s00477_021_01997_z crossref_primary_10_1186_s13717_021_00341_1 crossref_primary_10_1007_s41748_023_00369_7 crossref_primary_10_3390_su142013145 crossref_primary_10_1016_j_nhres_2024_07_002 crossref_primary_10_1016_j_rsase_2020_100354 crossref_primary_10_1016_j_scitotenv_2017_04_218
Cites_doi	10.1016/j.geomorph.2004.06.010 10.1007/s11269-006-9116-1 10.1007/s11269-011-9866-2 10.3390/w6061515 10.1016/j.jhydrol.2012.11.020 10.1007/s12665-011-1504-z 10.1016/j.jhydrol.2015.03.056 10.1016/S1364-8152(01)00071-8 10.1016/j.landusepol.2014.05.012 10.1016/j.enggeo.2009.12.006 10.1016/j.jhydrol.2014.03.008 10.1080/02626667.2011.555836 10.1007/s11269-009-9563-6 10.1016/j.jhydrol.2011.03.008 10.5194/nhess-6-195-2006 10.1016/S0048-9697(02)00062-1 10.1016/j.scitotenv.2014.09.092 10.1016/j.scitotenv.2012.08.037 10.1016/j.jhydrol.2004.10.026 10.1016/S0022-1694(03)00242-7 10.1016/j.jhydrol.2015.03.035 10.1016/0169-555X(94)90024-8 10.1016/S0022-1694(00)00312-7 10.1016/j.scitotenv.2015.02.027 10.1007/s11069-004-4542-y 10.1023/A:1008097403587 10.5194/nhess-5-833-2005 10.1016/j.jhydrol.2013.09.034 10.1287/mnsc.36.3.259 10.1088/1748-9326/7/4/045602 10.1016/j.jhydrol.2012.09.006
ContentType	Journal Article
Copyright	2015 Copyright © 2015. Published by Elsevier B.V.
Copyright_xml	– notice: 2015 – notice: Copyright © 2015. Published by Elsevier B.V.
DBID	6I. AAFTH AAYXX CITATION NPM 7X8 7ST C1K SOI 8FD FR3 KR7 7S9 L.6
DOI	10.1016/j.scitotenv.2015.08.055
DatabaseName	ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef PubMed MEDLINE - Academic Environment Abstracts Environmental Sciences and Pollution Management Environment Abstracts Technology Research Database Engineering Research Database Civil Engineering Abstracts AGRICOLA AGRICOLA - Academic
DatabaseTitle	CrossRef PubMed MEDLINE - Academic Environment Abstracts Environmental Sciences and Pollution Management Technology Research Database Civil Engineering Abstracts Engineering Research Database AGRICOLA AGRICOLA - Academic
DatabaseTitleList	PubMed Technology Research Database Environment Abstracts AGRICOLA MEDLINE - Academic
Database_xml	– sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Public Health Biology Environmental Sciences
EISSN	1879-1026
EndPage	563
ExternalDocumentID	26318691 10_1016_j_scitotenv_2015_08_055 S0048969715305581
Genre	Journal Article
GeographicLocations	MED, Greece Greece
GeographicLocations_xml	– name: MED, Greece – name: Greece
GroupedDBID	--- --K --M .~1 0R~ 1B1 1RT 1~. 1~5 4.4 457 4G. 5VS 6I. 7-5 71M 8P~ 9JM AABNK AACTN AAEDT AAEDW AAFTH AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAXUO ABFNM ABFYP ABJNI ABLST ABMAC ABYKQ ACDAQ ACGFS ACRLP ADBBV ADEZE AEBSH AEKER AENEX AFKWA AFTJW AFXIZ AGHFR AGUBO AGYEJ AHEUO AHHHB AIEXJ AIKHN AITUG AJBFU AJOXV AKIFW ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BKOJK BLECG BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FIRID FNPLU FYGXN G-Q GBLVA IHE J1W K-O KCYFY KOM LY9 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 RIG RNS ROL RPZ SCU SDF SDG SDP SES SPCBC SSJ SSZ T5K ~02 ~G- ~KM 53G 9DU AAHBH AAQXK AATTM AAXKI AAYJJ AAYWO AAYXX ABEFU ABWVN ABXDB ACLOT ACRPL ACVFH ADCNI ADMUD ADNMO ADXHL AEGFY AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN CITATION EFKBS FEDTE FGOYB G-2 HMC HVGLF HZ~ R2- SEN SEW WUQ XPP ZXP ZY4 ~HD AGCQF AGRNS NPM SSH 7X8 7ST C1K SOI 8FD FR3 KR7 7S9 L.6
ID	FETCH-LOGICAL-c585t-7b52b578d1a490ccad8ff8a4d5e5a9e779430cbe89b6978aa3f77933326e8fb33
ISICitedReferencesCount	409
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000363348900053&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0048-9697 1879-1026
IngestDate	Sat Sep 27 19:43:06 EDT 2025 Sun Nov 09 10:43:09 EST 2025 Tue Oct 07 09:40:24 EDT 2025 Sun Nov 09 10:00:38 EST 2025 Mon Jul 21 06:05:06 EDT 2025 Tue Nov 18 22:08:18 EST 2025 Sat Nov 29 06:06:47 EST 2025 Fri Feb 23 02:22:32 EST 2024
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Keywords	Flood prone areas GIS analysis Sensitivity analysis Flood hazards Analytical Hierarchy Process
Language	English
License	http://creativecommons.org/licenses/by-nc-nd/4.0 Copyright © 2015. Published by Elsevier B.V.
LinkModel	OpenURL
MergedId	FETCHMERGED-LOGICAL-c585t-7b52b578d1a490ccad8ff8a4d5e5a9e779430cbe89b6978aa3f77933326e8fb33
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ORCID	0000-0002-5655-4462
OpenAccessLink	https://dx.doi.org/10.1016/j.scitotenv.2015.08.055
PMID	26318691
PQID	1721361134
PQPubID	23479
PageCount	9
ParticipantIDs	proquest_miscellaneous_1836657508 proquest_miscellaneous_1762110190 proquest_miscellaneous_1727697788 proquest_miscellaneous_1721361134 pubmed_primary_26318691 crossref_citationtrail_10_1016_j_scitotenv_2015_08_055 crossref_primary_10_1016_j_scitotenv_2015_08_055 elsevier_sciencedirect_doi_10_1016_j_scitotenv_2015_08_055
PublicationCentury	2000
PublicationDate	2015-12-15
PublicationDateYYYYMMDD	2015-12-15
PublicationDate_xml	– month: 12 year: 2015 text: 2015-12-15 day: 15
PublicationDecade	2010
PublicationPlace	Netherlands
PublicationPlace_xml	– name: Netherlands
PublicationTitle	The Science of the total environment
PublicationTitleAlternate	Sci Total Environ
PublicationYear	2015
Publisher	Elsevier B.V
Publisher_xml	– name: Elsevier B.V
References	De Sherbinin, Levy, Adamo, MacManus, Yetman, Mara, Razafindrazay, Goodrich, Srebotnjak, Aichele (bb0050) 2012; 7 Black, Burns (bb0030) 2002; 294 Haan, Barfield, Hayes (bb0080) 1994 Aller, Lehr, Petty, Bennett (bb0010) 1987 Lloyd (bb0125) 2005; 308 Van Der Veen, Logtmeijer (bb0210) 2005; 36 Bonacci, Ljubenkov, Roje-Bonacci (bb0035) 2006; 6 Nyssen, Pontzeele, Billi (bb0145) 2011; 402 Dewan, Monirul Islam, Kumamoto, Nishigaki (bb0065) 2007; 21 Liu, Gebremeskel, De Smedt, Hoffmann, Pfister (bb0120) 2003; 283 Angelidis, Kotsikas, Kotsovinos (bb0015) 2010; 24 Demek (bb0060) 1972 Pacheco, Sanches Fernandes (bb0160) 2013; 476 Degiorgis, Gnecco, Gorni, Roth, Sanguineti, Celeste Taramasso (bb0055) 2012; 470–471 Huang, Wong, Gedeon (bb0090) 1998; 2 Schanze, Zeman, Marsalek (bb0185) 2006 Kia, Pirasteh, Pradhan, Mahmud, Sulaiman, Moradi (bb0105) 2011; 67 Forte, Pennetta, Strobl (bb0075) 2005; 5 Saaty (bb0175) 1990 Oikonomidis, Dimogianni, Kazakis, Voudouris (bb0150) 2015; 525 Ayalew, Yamagishi (bb0020) 2005; 65 Napolitano, Fabbri (bb0140) 1996; 235 Kazakis, Voudouris (bb0100) 2015; 525 Huan, Wang, Teng (bb0085) 2012; 440 Ramos, Thielen (bb0170) 2006 Tehrany, Pradhan, Jebur (bb0195) 2013; 504 Valle Junior, Varandas, Sanches Fernandes, Pacheco (bb0205) 2014; 41 Tehrany, Pradhan, Jebur (bb0200) 2014; 512 Kourgialas, Karatzas (bb0110) 2011; 56 Pacheco, Pires, Santos, Sanches Fernandes (bb0165) 2015; 505 Wang, Li, Tang, Zeng (bb0215) 2011; 25 Correia, Saraiva, Da Silva, Ramos (bb0045) 1999; 13 Zerger (bb0220) 2002; 17 Fernández, Lutz (bb0070) 2010; 111 Ouma, Tateishi (bb0155) 2014; 6 Kowalzig (bb0115) 2008; 4 Cherqui, Belmeziti, Granger, Sourdril, Le Gauffre (bb0040) 2015; 514 Schumann, Funke, Schultz (bb0190) 2000; 240 Aldescu (bb0005) 2008; vol. 4 Hutchinson (bb0095) 1998 Napolitano (bb0135) 1997 Birkholz, Muro, Jeffrey, Smith (bb0025) 2014 Meja-Navarro, Wohl, Oaks (bb0130) 1994; 10 Saaty (bb0180) 1990; 36 Aldescu (10.1016/j.scitotenv.2015.08.055_bb0005) 2008; vol. 4 Black (10.1016/j.scitotenv.2015.08.055_bb0030) 2002; 294 Haan (10.1016/j.scitotenv.2015.08.055_bb0080) 1994 Hutchinson (10.1016/j.scitotenv.2015.08.055_bb0095) 1998 Zerger (10.1016/j.scitotenv.2015.08.055_bb0220) 2002; 17 Fernández (10.1016/j.scitotenv.2015.08.055_bb0070) 2010; 111 Van Der Veen (10.1016/j.scitotenv.2015.08.055_bb0210) 2005; 36 Angelidis (10.1016/j.scitotenv.2015.08.055_bb0015) 2010; 24 Bonacci (10.1016/j.scitotenv.2015.08.055_bb0035) 2006; 6 Kourgialas (10.1016/j.scitotenv.2015.08.055_bb0110) 2011; 56 Kowalzig (10.1016/j.scitotenv.2015.08.055_bb0115) 2008; 4 Dewan (10.1016/j.scitotenv.2015.08.055_bb0065) 2007; 21 Birkholz (10.1016/j.scitotenv.2015.08.055_bb0025) 2014 Ayalew (10.1016/j.scitotenv.2015.08.055_bb0020) 2005; 65 Schumann (10.1016/j.scitotenv.2015.08.055_bb0190) 2000; 240 Nyssen (10.1016/j.scitotenv.2015.08.055_bb0145) 2011; 402 Oikonomidis (10.1016/j.scitotenv.2015.08.055_bb0150) 2015; 525 Ouma (10.1016/j.scitotenv.2015.08.055_bb0155) 2014; 6 Lloyd (10.1016/j.scitotenv.2015.08.055_bb0125) 2005; 308 Pacheco (10.1016/j.scitotenv.2015.08.055_bb0165) 2015; 505 Huang (10.1016/j.scitotenv.2015.08.055_bb0090) 1998; 2 Tehrany (10.1016/j.scitotenv.2015.08.055_bb0195) 2013; 504 Huan (10.1016/j.scitotenv.2015.08.055_bb0085) 2012; 440 Saaty (10.1016/j.scitotenv.2015.08.055_bb0180) 1990; 36 Liu (10.1016/j.scitotenv.2015.08.055_bb0120) 2003; 283 Valle Junior (10.1016/j.scitotenv.2015.08.055_bb0205) 2014; 41 Forte (10.1016/j.scitotenv.2015.08.055_bb0075) 2005; 5 Napolitano (10.1016/j.scitotenv.2015.08.055_bb0135) 1997 Tehrany (10.1016/j.scitotenv.2015.08.055_bb0200) 2014; 512 Aller (10.1016/j.scitotenv.2015.08.055_bb0010) 1987 Kazakis (10.1016/j.scitotenv.2015.08.055_bb0100) 2015; 525 De Sherbinin (10.1016/j.scitotenv.2015.08.055_bb0050) 2012; 7 Kia (10.1016/j.scitotenv.2015.08.055_bb0105) 2011; 67 Correia (10.1016/j.scitotenv.2015.08.055_bb0045) 1999; 13 Demek (10.1016/j.scitotenv.2015.08.055_bb0060) 1972 Napolitano (10.1016/j.scitotenv.2015.08.055_bb0140) 1996; 235 Meja-Navarro (10.1016/j.scitotenv.2015.08.055_bb0130) 1994; 10 Schanze (10.1016/j.scitotenv.2015.08.055_bb0185) 2006 Ramos (10.1016/j.scitotenv.2015.08.055_bb0170) 2006 Wang (10.1016/j.scitotenv.2015.08.055_bb0215) 2011; 25 Saaty (10.1016/j.scitotenv.2015.08.055_bb0175) 1990 Degiorgis (10.1016/j.scitotenv.2015.08.055_bb0055) 2012; 470–471 Cherqui (10.1016/j.scitotenv.2015.08.055_bb0040) 2015; 514 Pacheco (10.1016/j.scitotenv.2015.08.055_bb0160) 2013; 476
References_xml	– volume: 65 start-page: 15 year: 2005 end-page: 31 ident: bb0020 article-title: The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan publication-title: Geomorphology – volume: 10 start-page: 331 year: 1994 end-page: 354 ident: bb0130 article-title: Geological hazards, vulnerability, and risk assessment using GIS: model for Glenwood Springs, Colorado publication-title: Geomorphology – volume: 440 start-page: 14 year: 2012 end-page: 23 ident: bb0085 article-title: Assessment and validation of groundwater vulnerability to nitrate based on a modified drastic model: a case study in Jilin city of northeast China publication-title: Sci. Total Environ. – volume: 240 start-page: 45 year: 2000 end-page: 61 ident: bb0190 article-title: Application of a geographic information system for conceptual rainfall–runoff modeling publication-title: J. Hydrol. – year: 1994 ident: bb0080 article-title: Design hydrology and sedimentology for small catchments – volume: 111 start-page: 90 year: 2010 end-page: 98 ident: bb0070 article-title: Urban flood hazard zoning in Tucumán Province, Argentina, using GIS and multicriteria decision analysis publication-title: Eng. Geol. – year: 1990 ident: bb0175 article-title: How to make a decision: the analytic hierarchy process – volume: 25 start-page: 3465 year: 2011 end-page: 3484 ident: bb0215 article-title: A GIS-based spatial multi-criteria approach for flood risk assessment in the Dongting Lake Region, Hunan, Central China publication-title: Water Resour. Manag. – volume: 67 start-page: 251 year: 2011 end-page: 264 ident: bb0105 article-title: An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia publication-title: Environ. Earth Sci. – year: 1998 ident: bb0095 article-title: Interpolating mean rainfall using thin plate smoothing splines – start-page: 1 year: 2006 end-page: 21 ident: bb0170 article-title: European flood alert system post-event analysis river/catchment: countries: date of flooding event – volume: 504 start-page: 69 year: 2013 end-page: 79 ident: bb0195 article-title: Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS publication-title: J. Hydrol. – year: 2006 ident: bb0185 article-title: Flood risk management: hazards, vulnerability and mitigation measures – volume: 4 start-page: 117 year: 2008 end-page: 148 ident: bb0115 article-title: Climate, poverty, and justice: What the Poznań UN climate conference needs to deliver for a fair and effective global deal publication-title: Oxfam Policy and Practice: Climate Change and Resilience – volume: 402 start-page: 92 year: 2011 end-page: 102 ident: bb0145 article-title: Effect of beaver dams on the hydrology of small mountain streams: example from the Chevral in the Ourthe Orientale basin, Ardennes, Belgium publication-title: J. Hydrol. – volume: 283 start-page: 91 year: 2003 end-page: 106 ident: bb0120 article-title: A diffusive transport approach for flow routing in GIS-based flood modeling publication-title: J. Hydrol. – year: 2014 ident: bb0025 article-title: Rethinking the relationship between flood risk perception and flood management – volume: 36 start-page: 259 year: 1990 end-page: 268 ident: bb0180 article-title: An exposition of the ahp in reply to the paper remarks on the analytic hierarchy process publication-title: Manag. Sci. – volume: 514 start-page: 418 year: 2015 end-page: 425 ident: bb0040 article-title: Assessing urban potential flooding risk and identifying effective risk-reduction measures publication-title: Sci. Total Environ. – volume: 7 start-page: 045602 year: 2012 ident: bb0050 article-title: Migration and risk: net migration in marginal ecosystems and hazardous areas publication-title: Environ. Res. Lett. – year: 1997 ident: bb0135 article-title: Assessing aquifer vulnerability to pollution in the Piana Campana publication-title: ILWIS applications guide – year: 1987 ident: bb0010 article-title: Drastic: a standardized system to evaluate ground water pollution potential using hydrogeologic settings – volume: 294 start-page: 169 year: 2002 end-page: 184 ident: bb0030 article-title: Re-assessing the flood risk in Scotland publication-title: Sci. Total Environ. – volume: 21 start-page: 1601 year: 2007 end-page: 1612 ident: bb0065 article-title: Evaluating flood hazard for land-use planning in greater Dhaka of Bangladesh using remote sensing and GIS techniques publication-title: Water Resour. Manag. – volume: 5 start-page: 833 year: 2005 end-page: 844 ident: bb0075 article-title: Historic records and GIS applications for flood risk analysis in the Salento peninsula (southern Italy) publication-title: Nat. Hazards Earth Syst. Sci. – volume: 525 start-page: 13 year: 2015 end-page: 25 ident: bb0100 article-title: Groundwater vulnerability and pollution risk assessment of porous aquifers to nitrate: modifying the drastic method using quantitative parameters publication-title: J. Hydrol. – volume: 505 start-page: 474 year: 2015 end-page: 486 ident: bb0165 article-title: Factor weighting in drastic modeling publication-title: Sci. Total Environ. – volume: 308 start-page: 128 year: 2005 end-page: 150 ident: bb0125 article-title: Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great Britain publication-title: J. Hydrol. – volume: 235 start-page: 559 year: 1996 end-page: 566 ident: bb0140 article-title: Single-parameter sensitivity analysis for aquifer vulnerability assessment using drastic and sintacs publication-title: IAHS Publications-Series of Proceedings and Reports-Intern Assoc Hydrological Sciences – year: 1972 ident: bb0060 article-title: Manual of detailed geomorphological mapping – volume: 56 start-page: 212 year: 2011 end-page: 225 ident: bb0110 article-title: Flood management and a GIS modelling method to assess flood-hazard areas: a case study publication-title: Hydrol. Sci. J. – volume: 17 start-page: 287 year: 2002 end-page: 294 ident: bb0220 article-title: Examining GIS decision utility for natural hazard risk modelling publication-title: Environ. Model. Softw. – volume: 470–471 start-page: 302 year: 2012 end-page: 315 ident: bb0055 article-title: Classifiers for the detection of flood-prone areas using remote sensed elevation data publication-title: J. Hydrol. – volume: 2 start-page: 204 year: 1998 end-page: 214 ident: bb0090 article-title: Spatial interpolation using fuzzy reasoning and genetic algorithms publication-title: J. Geogr. Inf. Decis. Anal. – volume: 476 start-page: 442 year: 2013 end-page: 459 ident: bb0160 article-title: The multivariate statistical structure of drastic model publication-title: J. Hydrol. – volume: 41 start-page: 172 year: 2014 end-page: 185 ident: bb0205 article-title: Environmental land use conflicts: a threat to soil conservation publication-title: Land Use Policy – volume: 6 start-page: 195 year: 2006 end-page: 203 ident: bb0035 article-title: Karst flash floods: an example from the Dinaric karst (Croatia) publication-title: Nat. Hazards Earth Syst. Sci. – volume: 6 start-page: 1515 year: 2014 end-page: 1545 ident: bb0155 article-title: Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS: methodological overview and case study assessment publication-title: Water – volume: 24 start-page: 2467 year: 2010 end-page: 2484 ident: bb0015 article-title: Management of upstream dams and flood protection of the Transboundary River Evros/Maritza publication-title: Water Resour. Manag. – volume: 525 start-page: 197 year: 2015 end-page: 208 ident: bb0150 article-title: A GIS/remote sensing-based methodology for groundwater potentiality assessment in Tirnavos area, Greece publication-title: J. Hydrol. – volume: 36 start-page: 65 year: 2005 end-page: 80 ident: bb0210 article-title: Economic hotspots: visualizing vulnerability to flooding publication-title: Nat. Hazards – volume: vol. 4 year: 2008 ident: bb0005 article-title: The necessity of flood risk maps on Timiş river publication-title: IOP Conference Series: Earth and Environmental Science – volume: 13 start-page: 1 year: 1999 end-page: 21 ident: bb0045 article-title: Floodplain management in urban developing areas. Part I. Urban Growth Scenarios and land-use controls publication-title: Water Resour. Manag. – volume: 512 start-page: 332 year: 2014 end-page: 343 ident: bb0200 article-title: Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS publication-title: J. Hydrol. – start-page: 1 year: 2006 ident: 10.1016/j.scitotenv.2015.08.055_bb0170 – volume: 65 start-page: 15 year: 2005 ident: 10.1016/j.scitotenv.2015.08.055_bb0020 article-title: The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan publication-title: Geomorphology doi: 10.1016/j.geomorph.2004.06.010 – volume: 235 start-page: 559 year: 1996 ident: 10.1016/j.scitotenv.2015.08.055_bb0140 article-title: Single-parameter sensitivity analysis for aquifer vulnerability assessment using drastic and sintacs – volume: 21 start-page: 1601 issue: 9 year: 2007 ident: 10.1016/j.scitotenv.2015.08.055_bb0065 article-title: Evaluating flood hazard for land-use planning in greater Dhaka of Bangladesh using remote sensing and GIS techniques publication-title: Water Resour. Manag. doi: 10.1007/s11269-006-9116-1 – volume: 25 start-page: 3465 issue: 13 year: 2011 ident: 10.1016/j.scitotenv.2015.08.055_bb0215 article-title: A GIS-based spatial multi-criteria approach for flood risk assessment in the Dongting Lake Region, Hunan, Central China publication-title: Water Resour. Manag. doi: 10.1007/s11269-011-9866-2 – volume: 6 start-page: 1515 issue: 6 year: 2014 ident: 10.1016/j.scitotenv.2015.08.055_bb0155 article-title: Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS: methodological overview and case study assessment publication-title: Water doi: 10.3390/w6061515 – volume: 476 start-page: 442 year: 2013 ident: 10.1016/j.scitotenv.2015.08.055_bb0160 article-title: The multivariate statistical structure of drastic model publication-title: J. Hydrol. doi: 10.1016/j.jhydrol.2012.11.020 – volume: 67 start-page: 251 year: 2011 ident: 10.1016/j.scitotenv.2015.08.055_bb0105 article-title: An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia publication-title: Environ. Earth Sci. doi: 10.1007/s12665-011-1504-z – volume: 525 start-page: 197 year: 2015 ident: 10.1016/j.scitotenv.2015.08.055_bb0150 article-title: A GIS/remote sensing-based methodology for groundwater potentiality assessment in Tirnavos area, Greece publication-title: J. Hydrol. doi: 10.1016/j.jhydrol.2015.03.056 – volume: 17 start-page: 287 issue: 3 year: 2002 ident: 10.1016/j.scitotenv.2015.08.055_bb0220 article-title: Examining GIS decision utility for natural hazard risk modelling publication-title: Environ. Model. Softw. doi: 10.1016/S1364-8152(01)00071-8 – volume: 41 start-page: 172 year: 2014 ident: 10.1016/j.scitotenv.2015.08.055_bb0205 article-title: Environmental land use conflicts: a threat to soil conservation publication-title: Land Use Policy doi: 10.1016/j.landusepol.2014.05.012 – year: 2014 ident: 10.1016/j.scitotenv.2015.08.055_bb0025 – year: 1987 ident: 10.1016/j.scitotenv.2015.08.055_bb0010 – volume: 2 start-page: 204 issue: 2 year: 1998 ident: 10.1016/j.scitotenv.2015.08.055_bb0090 article-title: Spatial interpolation using fuzzy reasoning and genetic algorithms publication-title: J. Geogr. Inf. Decis. Anal. – year: 1972 ident: 10.1016/j.scitotenv.2015.08.055_bb0060 – volume: 111 start-page: 90 year: 2010 ident: 10.1016/j.scitotenv.2015.08.055_bb0070 article-title: Urban flood hazard zoning in Tucumán Province, Argentina, using GIS and multicriteria decision analysis publication-title: Eng. Geol. doi: 10.1016/j.enggeo.2009.12.006 – year: 1998 ident: 10.1016/j.scitotenv.2015.08.055_bb0095 – volume: 512 start-page: 332 year: 2014 ident: 10.1016/j.scitotenv.2015.08.055_bb0200 article-title: Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS publication-title: J. Hydrol. doi: 10.1016/j.jhydrol.2014.03.008 – volume: 56 start-page: 212 issue: 2 year: 2011 ident: 10.1016/j.scitotenv.2015.08.055_bb0110 article-title: Flood management and a GIS modelling method to assess flood-hazard areas: a case study publication-title: Hydrol. Sci. J. doi: 10.1080/02626667.2011.555836 – volume: 24 start-page: 2467 issue: 11 year: 2010 ident: 10.1016/j.scitotenv.2015.08.055_bb0015 article-title: Management of upstream dams and flood protection of the Transboundary River Evros/Maritza publication-title: Water Resour. Manag. doi: 10.1007/s11269-009-9563-6 – volume: 402 start-page: 92 year: 2011 ident: 10.1016/j.scitotenv.2015.08.055_bb0145 article-title: Effect of beaver dams on the hydrology of small mountain streams: example from the Chevral in the Ourthe Orientale basin, Ardennes, Belgium publication-title: J. Hydrol. doi: 10.1016/j.jhydrol.2011.03.008 – volume: 4 start-page: 117 year: 2008 ident: 10.1016/j.scitotenv.2015.08.055_bb0115 article-title: Climate, poverty, and justice: What the Poznań UN climate conference needs to deliver for a fair and effective global deal – volume: 6 start-page: 195 issue: 2 year: 2006 ident: 10.1016/j.scitotenv.2015.08.055_bb0035 article-title: Karst flash floods: an example from the Dinaric karst (Croatia) publication-title: Nat. Hazards Earth Syst. Sci. doi: 10.5194/nhess-6-195-2006 – volume: 294 start-page: 169 issue: 1 year: 2002 ident: 10.1016/j.scitotenv.2015.08.055_bb0030 article-title: Re-assessing the flood risk in Scotland publication-title: Sci. Total Environ. doi: 10.1016/S0048-9697(02)00062-1 – volume: 505 start-page: 474 year: 2015 ident: 10.1016/j.scitotenv.2015.08.055_bb0165 article-title: Factor weighting in drastic modeling publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2014.09.092 – year: 1994 ident: 10.1016/j.scitotenv.2015.08.055_bb0080 – volume: 440 start-page: 14 year: 2012 ident: 10.1016/j.scitotenv.2015.08.055_bb0085 article-title: Assessment and validation of groundwater vulnerability to nitrate based on a modified drastic model: a case study in Jilin city of northeast China publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2012.08.037 – volume: 308 start-page: 128 issue: 1 year: 2005 ident: 10.1016/j.scitotenv.2015.08.055_bb0125 article-title: Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great Britain publication-title: J. Hydrol. doi: 10.1016/j.jhydrol.2004.10.026 – volume: 283 start-page: 91 issue: 1–4 year: 2003 ident: 10.1016/j.scitotenv.2015.08.055_bb0120 article-title: A diffusive transport approach for flow routing in GIS-based flood modeling publication-title: J. Hydrol. doi: 10.1016/S0022-1694(03)00242-7 – volume: 525 start-page: 13 year: 2015 ident: 10.1016/j.scitotenv.2015.08.055_bb0100 article-title: Groundwater vulnerability and pollution risk assessment of porous aquifers to nitrate: modifying the drastic method using quantitative parameters publication-title: J. Hydrol. doi: 10.1016/j.jhydrol.2015.03.035 – volume: 10 start-page: 331 issue: 1–4 year: 1994 ident: 10.1016/j.scitotenv.2015.08.055_bb0130 article-title: Geological hazards, vulnerability, and risk assessment using GIS: model for Glenwood Springs, Colorado publication-title: Geomorphology doi: 10.1016/0169-555X(94)90024-8 – volume: 240 start-page: 45 issue: 1–2 year: 2000 ident: 10.1016/j.scitotenv.2015.08.055_bb0190 article-title: Application of a geographic information system for conceptual rainfall–runoff modeling publication-title: J. Hydrol. doi: 10.1016/S0022-1694(00)00312-7 – volume: 514 start-page: 418 year: 2015 ident: 10.1016/j.scitotenv.2015.08.055_bb0040 article-title: Assessing urban potential flooding risk and identifying effective risk-reduction measures publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2015.02.027 – year: 2006 ident: 10.1016/j.scitotenv.2015.08.055_bb0185 – volume: 36 start-page: 65 issue: 1–2 year: 2005 ident: 10.1016/j.scitotenv.2015.08.055_bb0210 article-title: Economic hotspots: visualizing vulnerability to flooding publication-title: Nat. Hazards doi: 10.1007/s11069-004-4542-y – year: 1997 ident: 10.1016/j.scitotenv.2015.08.055_bb0135 article-title: Assessing aquifer vulnerability to pollution in the Piana Campana – volume: 13 start-page: 1 issue: 1 year: 1999 ident: 10.1016/j.scitotenv.2015.08.055_bb0045 article-title: Floodplain management in urban developing areas. Part I. Urban Growth Scenarios and land-use controls publication-title: Water Resour. Manag. doi: 10.1023/A:1008097403587 – year: 1990 ident: 10.1016/j.scitotenv.2015.08.055_bb0175 – volume: 5 start-page: 833 issue: 6 year: 2005 ident: 10.1016/j.scitotenv.2015.08.055_bb0075 article-title: Historic records and GIS applications for flood risk analysis in the Salento peninsula (southern Italy) publication-title: Nat. Hazards Earth Syst. Sci. doi: 10.5194/nhess-5-833-2005 – volume: 504 start-page: 69 year: 2013 ident: 10.1016/j.scitotenv.2015.08.055_bb0195 article-title: Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS publication-title: J. Hydrol. doi: 10.1016/j.jhydrol.2013.09.034 – volume: vol. 4 year: 2008 ident: 10.1016/j.scitotenv.2015.08.055_bb0005 article-title: The necessity of flood risk maps on Timiş river – volume: 36 start-page: 259 issue: 3 year: 1990 ident: 10.1016/j.scitotenv.2015.08.055_bb0180 article-title: An exposition of the ahp in reply to the paper remarks on the analytic hierarchy process publication-title: Manag. Sci. doi: 10.1287/mnsc.36.3.259 – volume: 7 start-page: 045602 issue: 4 year: 2012 ident: 10.1016/j.scitotenv.2015.08.055_bb0050 article-title: Migration and risk: net migration in marginal ecosystems and hazardous areas publication-title: Environ. Res. Lett. doi: 10.1088/1748-9326/7/4/045602 – volume: 470–471 start-page: 302 year: 2012 ident: 10.1016/j.scitotenv.2015.08.055_bb0055 article-title: Classifiers for the detection of flood-prone areas using remote sensed elevation data publication-title: J. Hydrol. doi: 10.1016/j.jhydrol.2012.09.006
SSID	ssj0000781
Score	2.6398787
Snippet	The present study introduces a multi-criteria index to assess flood hazard areas in a regional scale. Accordingly, a Flood Hazard Index (FHI) has been defined...
SourceID	proquest pubmed crossref elsevier
SourceType	Aggregation Database Index Database Enrichment Source Publisher
StartPage	555
SubjectTerms	Analytic hierarchy process Analytical Hierarchy Process analytical methods Criteria drainage Flood hazards Flood mapping Flood prone areas Floods geographic information systems GIS analysis Greece Hazard assessment land use Methodology operations research rain intensity Regional Sensitivity analysis
Title	Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope–Evros region, Greece
URI	https://dx.doi.org/10.1016/j.scitotenv.2015.08.055 https://www.ncbi.nlm.nih.gov/pubmed/26318691 https://www.proquest.com/docview/1721361134 https://www.proquest.com/docview/1727697788 https://www.proquest.com/docview/1762110190 https://www.proquest.com/docview/1836657508
Volume	538
WOSCitedRecordID	wos000363348900053&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1879-1026 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000781 issn: 0048-9697 databaseCode: AIEXJ dateStart: 19950106 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bb9MwFLa6DiQkhKAwGJfJSLyVTE0cJ87eKlS08VBNaEh9i5zE1rqNtFrSatuv4W_w7zi-Ja2gHTzwElWO7dQ5X87xOT4XhD5ImbCMR_ClkSLxwoyHHg8k9SRhRZaBwPNppotNxOMxm0yS007np4uFWV7FZclubpL5fyU1tAGxVejsP5C7mRQa4DcQHa5Adrj-FeGHTa5NtRGUyjG9f87vlLmAaw90Xvd5XxVk0EbACogk-ovKBCv2dfZET8m2osk3rg8YdPYSY_g-nqqo5fz81oUZaOtiexKubChfz0HfnQtvtAQxbJ9mY2JEvuZ-pIDqOIx1WKhnKkRzJQavEQuwjkuTFWEM_6Gs76btYRSoAlMTnnYyU5WYmjunvK6m3BZ-X_GIssYOnyrHERPueSgMg2ZxAqLDRNk7Dk5NghjLg6nJ-_ubbDBmiotD2FrAMmANyrGP6gSu6yPgpc2_a3QEEVElu_xWWDYujO7WDtoNYpqwLtodnowmX9ptQMz8NYfCPz5XJaO2M23aGW3SfPQO6OwpemJVFzw0kHuGOqLsoYemmOltD-2NWnpBN0vSqoceG9MwNhFvz9GPFqF4JrFGKDYIxRqhmNeYY4dQrBGKNUIxL_EKQrFDKLQXuEUobhCKLUKP8Ao-YQq8hk_7rI_YoPMF-vZ5dPbp2LOFQrwctN3aizMaZCB6Cp-HyQB4UsGkZDwsqKA8EbFKgjjIM8GSLEpixjmR0EYIqC6CyYyQPdQtZ6V4hXBORJCzJKQFlyGo5opxZYGQwOtEMcjFPoockdLcZtFXxVyuUucueZE2hE4VoVNV5pXSfTRoBs5NIpn7hxw5FKR2P2z2uSlA-v7B7x1uUpAY6hiQl2K2qFJl9CGR75Nwa58YXlXM2LY-kbIegUaxpQ8j-mh3APO8NOBtVu9w_3rjnTfoUcsE3qJufb0Q79CDfFlPq-sDtBNP2IH97H4B5ZwVdg
linkProvider	Elsevier
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Assessment+of+flood+hazard+areas+at+a+regional+scale+using+an+index-based+approach+and+Analytical+Hierarchy+Process%3A+Application+in+Rhodope-Evros+region%2C+Greece&rft.jtitle=The+Science+of+the+total+environment&rft.au=Kazakis%2C+Nerantzis&rft.au=Kougias%2C+Ioannis&rft.au=Patsialis%2C+Thomas&rft.date=2015-12-15&rft.eissn=1879-1026&rft.volume=538&rft.spage=555&rft_id=info:doi/10.1016%2Fj.scitotenv.2015.08.055&rft_id=info%3Apmid%2F26318691&rft.externalDocID=26318691
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0048-9697&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0048-9697&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0048-9697&client=summon