Threshold Definition for Monitoring Gapa Landslide under Large Variations in Reservoir Level Using GNSS
The triggering threshold is one of the most important parameters for landslide early warning systems (EWSs) at the slope scale. In the present work, a velocity threshold is recommended for an early warning system of the Gapa landslide in Southwest China, which was reactivated by the impoundment of a...
Uloženo v:
| Vydáno v: | Remote sensing (Basel, Switzerland) Ročník 13; číslo 24; s. 4977 |
|---|---|
| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Basel
MDPI AG
01.12.2021
|
| Témata: | |
| ISSN: | 2072-4292, 2072-4292 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | The triggering threshold is one of the most important parameters for landslide early warning systems (EWSs) at the slope scale. In the present work, a velocity threshold is recommended for an early warning system of the Gapa landslide in Southwest China, which was reactivated by the impoundment of a large reservoir behind Jinping’s first dam. Based on GNSS monitoring data over the last five years, the velocity threshold is defined by a novel method, which is implemented by the forward and reverse double moving average of time series. As the landslide deformation is strongly related to the fluctuations in reservoir water levels, a crucial water level is also defined to reduce false warnings from the velocity threshold alone. In recognition of the importance of geological evolution, the evolution process of the Gapa landslide from topping to sliding is described in this study to help to understand its behavior and predict its potential trends. Moreover, based on the improved Saito’s three-stage deformation model, the warning level is set as “attention level”, because the current deformation stage of the landslide is considered to be between the initial and constant stages. At present, the early warning system mainly consists of six surface displacement monitoring sites and one water level observation site. If the daily recorded velocity in each monitoring site exceeds 4 mm/d and, meanwhile, the water level is below 1820 m above sea level (asl), a warning of likely landslide deformation accelerations will be released by relevant monitoring sites. The thresholds are always discretely exceeded on about 3% of annual monitoring days, and they are most frequently exceeded in June (especially in mid-June). The thresholds provide an efficient and effective way for judging accelerations of this landslide and are verified by the current application. The work presented provides critical insights into the development of early warning systems for reservoir-induced large-scale landslides. |
|---|---|
| AbstractList | The triggering threshold is one of the most important parameters for landslide early warning systems (EWSs) at the slope scale. In the present work, a velocity threshold is recommended for an early warning system of the Gapa landslide in Southwest China, which was reactivated by the impoundment of a large reservoir behind Jinping’s first dam. Based on GNSS monitoring data over the last five years, the velocity threshold is defined by a novel method, which is implemented by the forward and reverse double moving average of time series. As the landslide deformation is strongly related to the fluctuations in reservoir water levels, a crucial water level is also defined to reduce false warnings from the velocity threshold alone. In recognition of the importance of geological evolution, the evolution process of the Gapa landslide from topping to sliding is described in this study to help to understand its behavior and predict its potential trends. Moreover, based on the improved Saito’s three-stage deformation model, the warning level is set as “attention level”, because the current deformation stage of the landslide is considered to be between the initial and constant stages. At present, the early warning system mainly consists of six surface displacement monitoring sites and one water level observation site. If the daily recorded velocity in each monitoring site exceeds 4 mm/d and, meanwhile, the water level is below 1820 m above sea level (asl), a warning of likely landslide deformation accelerations will be released by relevant monitoring sites. The thresholds are always discretely exceeded on about 3% of annual monitoring days, and they are most frequently exceeded in June (especially in mid-June). The thresholds provide an efficient and effective way for judging accelerations of this landslide and are verified by the current application. The work presented provides critical insights into the development of early warning systems for reservoir-induced large-scale landslides. |
| Author | Shen, Wei Qiao, Zhitian Zheng, Wenbo Wu, Shuangshuang Berti, Matteo Hu, Xinli |
| Author_xml | – sequence: 1 givenname: Shuangshuang orcidid: 0000-0002-2659-2767 surname: Wu fullname: Wu, Shuangshuang – sequence: 2 givenname: Xinli surname: Hu fullname: Hu, Xinli – sequence: 3 givenname: Wenbo surname: Zheng fullname: Zheng, Wenbo – sequence: 4 givenname: Matteo surname: Berti fullname: Berti, Matteo – sequence: 5 givenname: Zhitian surname: Qiao fullname: Qiao, Zhitian – sequence: 6 givenname: Wei surname: Shen fullname: Shen, Wei |
| BookMark | eNptkV1PXCEQhkljEz_qTX8BSW-MybbAsOfAZWPVmmzbpGpvCQeGlc0RtnDWxH9f3DWtMeUGZnjedwbmkOylnJCQ95x9BNDsU6kchJS679-QA8F6MZNCi70X531yXOuKtQXANZMHZHlzV7De5dHTLxhiilPMiYZc6LfcglxiWtJLu7Z0YZOvY_RIN8ljaXFZIv1lS7RPmkpjoj-xYnnIsd3iA470tm7l36-v35G3wY4Vj5_3I3J7cX5z9nW2-HF5dfZ5MXOg5TQLFoNwWqkgoQfBhFWgB-gGFF5y0XUQNEctPCBwVHMvB0AbHPDBqSEAHJGrna_PdmXWJd7b8miyjWabyGVpbJmiG9EINyg9cG77rpNzx7TXQaJoVfgQpJg3r5Od17rk3xusk7mP1eE42oR5U43ooOuVhLlu6IdX6CpvSmovbRQXSnZK9Y063VGu5FoLhr8NcmaeRmj-jbDB7BXs4rT96qnYOP5P8gfMeJ7Q |
| CitedBy_id | crossref_primary_10_3390_rs16234391 crossref_primary_10_1007_s10064_024_03845_0 crossref_primary_10_3390_math11132833 crossref_primary_10_3390_rs17010156 crossref_primary_10_1007_s10346_022_01970_z crossref_primary_10_3390_rs14194818 crossref_primary_10_1007_s12524_025_02267_z crossref_primary_10_3390_electronics14122388 crossref_primary_10_3390_ijgi12050198 crossref_primary_10_1007_s10064_025_04320_0 crossref_primary_10_1016_j_heliyon_2023_e23247 |
| Cites_doi | 10.1080/19475705.2014.942388 10.3390/en14041091 10.3390/rs12203385 10.1016/j.geomorph.2021.108013 10.5194/nhess-16-103-2016 10.1016/j.geomorph.2019.03.014 10.1007/s100640000067 10.1007/s10346-020-01523-2 10.1007/s10346-019-01138-2 10.3390/rs12203375 10.1007/978-3-030-60713-5 10.1007/s11431-011-4640-5 10.1016/j.jseaes.2012.10.022 10.1016/j.earscirev.2019.102973 10.1016/j.enggeo.2017.01.016 10.1007/s10346-019-01269-6 10.1007/s10346-012-0376-y 10.1016/S0169-555X(03)00052-7 10.1016/j.enggeo.2021.106143 10.1007/s10346-016-0701-y 10.1007/s10346-015-0563-8 10.1016/j.enggeo.2018.08.003 10.1029/2012JF002367 10.1016/j.enggeo.2020.105817 10.1007/s10064-018-1237-2 10.3390/rs13020224 10.1007/s10346-015-0644-8 10.1029/2019JF005513 10.1007/s10346-016-0750-2 10.1007/s10346-021-01635-3 10.1007/s10346-019-01296-3 10.1007/s10346-019-01159-x 10.1007/s10346-020-01435-1 10.1007/s12583-020-1331-9 10.1007/s10346-018-1068-z 10.1007/s10064-021-02273-8 10.1007/s10064-019-01598-9 10.1007/s11069-015-2110-2 10.1016/j.earscirev.2019.03.019 10.1007/s10346-016-0761-z 10.1016/j.enggeo.2020.105917 10.1007/s11629-019-5713-9 10.1016/j.ijrmms.2006.07.014 10.1016/j.enggeo.2019.105279 10.1016/j.enggeo.2006.04.004 10.3390/s20030845 10.1016/j.enggeo.2017.08.007 10.1016/j.enggeo.2019.105267 10.1016/j.enggeo.2020.105975 10.1016/j.enggeo.2012.07.017 10.1007/s10346-017-0915-7 10.1007/s10346-007-0112-1 10.1007/s10346-014-0495-8 10.1007/s10346-004-0020-6 |
| ContentType | Journal Article |
| Copyright | 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | AAYXX CITATION 7QF 7QO 7QQ 7QR 7SC 7SE 7SN 7SP 7SR 7TA 7TB 7U5 8BQ 8FD 8FE 8FG ABJCF ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ BHPHI BKSAR C1K CCPQU DWQXO F28 FR3 H8D H8G HCIFZ JG9 JQ2 KR7 L6V L7M L~C L~D M7S P5Z P62 P64 PCBAR PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PTHSS 7S9 L.6 DOA |
| DOI | 10.3390/rs13244977 |
| DatabaseName | CrossRef Aluminium Industry Abstracts Biotechnology Research Abstracts Ceramic Abstracts Chemoreception Abstracts Computer and Information Systems Abstracts Corrosion Abstracts Ecology Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts Materials Business File Mechanical & Transportation Engineering Abstracts Solid State and Superconductivity Abstracts METADEX Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials AUTh Library subscriptions: ProQuest Central Technology collection Natural Science Collection Earth, Atmospheric & Aquatic Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Central ANTE: Abstracts in New Technology & Engineering Engineering Research Database Aerospace Database Copper Technical Reference Library SciTech Premium Collection Materials Research Database ProQuest Computer Science Collection Civil Engineering Abstracts ProQuest Engineering Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional Engineering Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts Earth, Atmospheric & Aquatic Science Database ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition Engineering collection AGRICOLA AGRICOLA - Academic Open Access: DOAJ - Directory of Open Access Journals |
| DatabaseTitle | CrossRef Publicly Available Content Database Materials Research Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts SciTech Premium Collection Materials Business File Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences Engineered Materials Abstracts Natural Science Collection Chemoreception Abstracts ProQuest Central (New) Engineering Collection ANTE: Abstracts in New Technology & Engineering Advanced Technologies & Aerospace Collection Engineering Database Aluminium Industry Abstracts ProQuest One Academic Eastern Edition Electronics & Communications Abstracts Earth, Atmospheric & Aquatic Science Database ProQuest Technology Collection Ceramic Abstracts Ecology Abstracts Biotechnology and BioEngineering Abstracts ProQuest One Academic UKI Edition Solid State and Superconductivity Abstracts Engineering Research Database ProQuest One Academic ProQuest One Academic (New) Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) Mechanical & Transportation Engineering Abstracts ProQuest Central (Alumni Edition) ProQuest One Community College Earth, Atmospheric & Aquatic Science Collection ProQuest Central Aerospace Database Copper Technical Reference Library ProQuest Engineering Collection Biotechnology Research Abstracts ProQuest Central Korea Advanced Technologies Database with Aerospace Civil Engineering Abstracts ProQuest SciTech Collection METADEX Computer and Information Systems Abstracts Professional Advanced Technologies & Aerospace Database Materials Science & Engineering Collection Corrosion Abstracts AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | AGRICOLA CrossRef Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Geography |
| EISSN | 2072-4292 |
| ExternalDocumentID | oai_doaj_org_article_2cb89b11a76645c09d9f4e21261bf425 10_3390_rs13244977 |
| GeographicLocations | China Yangtze River |
| GeographicLocations_xml | – name: Yangtze River – name: China |
| GroupedDBID | 29P 2WC 2XV 5VS 8FE 8FG 8FH AADQD AAHBH AAYXX ABDBF ABJCF ACUHS ADBBV ADMLS AENEX AFFHD AFKRA AFZYC ALMA_UNASSIGNED_HOLDINGS ARAPS BCNDV BENPR BGLVJ BHPHI BKSAR CCPQU CITATION E3Z ESX FRP GROUPED_DOAJ HCIFZ I-F IAO ITC KQ8 L6V LK5 M7R M7S MODMG M~E OK1 P62 PCBAR PHGZM PHGZT PIMPY PQGLB PROAC PTHSS TR2 TUS 7QF 7QO 7QQ 7QR 7SC 7SE 7SN 7SP 7SR 7TA 7TB 7U5 8BQ 8FD ABUWG AZQEC C1K DWQXO F28 FR3 H8D H8G JG9 JQ2 KR7 L7M L~C L~D P64 PKEHL PQEST PQQKQ PQUKI 7S9 L.6 |
| ID | FETCH-LOGICAL-c394t-faef2c988f4373202a839b36be2d412663f91e92d3e31e85d4b3eafc31bc8bf33 |
| IEDL.DBID | M7S |
| ISICitedReferencesCount | 13 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000738538100001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2072-4292 |
| IngestDate | Fri Oct 03 12:53:05 EDT 2025 Sun Nov 09 14:02:51 EST 2025 Fri Jul 25 11:47:07 EDT 2025 Sat Nov 29 07:14:10 EST 2025 Tue Nov 18 21:19:39 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 24 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c394t-faef2c988f4373202a839b36be2d412663f91e92d3e31e85d4b3eafc31bc8bf33 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0002-2659-2767 |
| OpenAccessLink | https://www.proquest.com/docview/2612846887?pq-origsite=%requestingapplication% |
| PQID | 2612846887 |
| PQPubID | 2032338 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_2cb89b11a76645c09d9f4e21261bf425 proquest_miscellaneous_2636784359 proquest_journals_2612846887 crossref_primary_10_3390_rs13244977 crossref_citationtrail_10_3390_rs13244977 |
| PublicationCentury | 2000 |
| PublicationDate | 2021-12-01 |
| PublicationDateYYYYMMDD | 2021-12-01 |
| PublicationDate_xml | – month: 12 year: 2021 text: 2021-12-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Basel |
| PublicationPlace_xml | – name: Basel |
| PublicationTitle | Remote sensing (Basel, Switzerland) |
| PublicationYear | 2021 |
| Publisher | MDPI AG |
| Publisher_xml | – name: MDPI AG |
| References | Tang (ref_2) 2019; 261 Piciullo (ref_8) 2017; 14 Kilburn (ref_42) 2003; 54 Fan (ref_48) 2019; 16 ref_13 ref_10 Fan (ref_37) 2019; 16 Intrieri (ref_4) 2012; 147 Criss (ref_55) 2020; 31 Wu (ref_43) 2022; 397 ref_18 ref_15 Liao (ref_53) 2019; 79 Huang (ref_51) 2016; 13 Bernat (ref_23) 2017; 14 Troncone (ref_25) 2021; 288 Wu (ref_45) 2021; 80 ref_22 Lin (ref_3) 2013; 62 He (ref_20) 2020; 17 Intrieri (ref_56) 2018; 15 Macciotta (ref_11) 2016; 81 Semenza (ref_47) 2000; 59 Intrieri (ref_31) 2019; 193 Huang (ref_29) 2017; 218 Manconi (ref_9) 2016; 7 Huang (ref_19) 2020; 17 Segalini (ref_26) 2018; 245 Ju (ref_38) 2020; 279 Xu (ref_41) 2008; 27 Rosi (ref_16) 2020; 18 Farina (ref_28) 2017; 228 Loew (ref_54) 2017; 14 Hu (ref_44) 2021; 283 ref_33 ref_32 Guzzetti (ref_17) 2020; 200 Guzzetti (ref_14) 2008; 5 Wu (ref_50) 2019; 78 Lagomarsino (ref_6) 2013; 10 Barla (ref_12) 2016; 13 Qi (ref_49) 2006; 86 Rose (ref_34) 2007; 44 Calvello (ref_5) 2016; 16 Li (ref_30) 2021; 2021 Bernardie (ref_21) 2015; 12 Zhao (ref_24) 2020; 17 Chen (ref_52) 2019; 16 Xu (ref_35) 2011; 54 Wang (ref_46) 2004; 1 Li (ref_39) 2019; 261 Tofani (ref_57) 2019; 335 Cenni (ref_58) 2021; 18 ref_40 ref_1 Xu (ref_36) 2020; 278 Pecoraro (ref_27) 2019; 16 ref_7 |
| References_xml | – volume: 7 start-page: 639 year: 2016 ident: ref_9 article-title: Landslide failure forecast in near-real-time publication-title: Geomat. Nat. Hazards Risk doi: 10.1080/19475705.2014.942388 – ident: ref_7 doi: 10.3390/en14041091 – ident: ref_18 doi: 10.3390/rs12203385 – volume: 397 start-page: 108013 year: 2022 ident: ref_43 article-title: Displacement behaviour and potential impulse waves of the Gapa landslide subjected to the Jinping Reservoir fluctuations in Southwest China publication-title: Geomorphology doi: 10.1016/j.geomorph.2021.108013 – volume: 16 start-page: 103 year: 2016 ident: ref_5 article-title: Assessing the performance of regional landslide early warning models: The EDuMaP method publication-title: Nat. Hazard. Earth Syst. doi: 10.5194/nhess-16-103-2016 – volume: 335 start-page: 62 year: 2019 ident: ref_57 article-title: Combination of GNSS, satellite InSAR, and GBInSAR remote sensing monitoring to improve the understanding of a large landslide in high alpine environment publication-title: Geomorphology doi: 10.1016/j.geomorph.2019.03.014 – volume: 59 start-page: 87 year: 2000 ident: ref_47 article-title: History of the 1963 Vaiont slide: The importance of geological factors publication-title: Bull. Eng. Geol. Environ. doi: 10.1007/s100640000067 – volume: 18 start-page: 1045 year: 2020 ident: ref_16 article-title: Definition of 3D rainfall thresholds to increase operative landslide early warning system performances publication-title: Landslides doi: 10.1007/s10346-020-01523-2 – volume: 16 start-page: 955 year: 2019 ident: ref_52 article-title: Development of elastic wave velocity threshold for rainfall-induced landslide prediction and early warning publication-title: Landslides doi: 10.1007/s10346-019-01138-2 – ident: ref_10 doi: 10.3390/rs12203375 – ident: ref_13 doi: 10.1007/978-3-030-60713-5 – volume: 54 start-page: 210 year: 2011 ident: ref_35 article-title: Some new pre-warning criteria for creep slope failure publication-title: Sci. China Technol. Sci. doi: 10.1007/s11431-011-4640-5 – volume: 62 start-page: 389 year: 2013 ident: ref_3 article-title: Recognition of large scale deep-seated landslides in forest areas of Taiwan using high resolution topography publication-title: J. Asian Earth Sci. doi: 10.1016/j.jseaes.2012.10.022 – volume: 200 start-page: 102973 year: 2020 ident: ref_17 article-title: Geographical landslide early warning systems publication-title: Earth-Sci. Rev. doi: 10.1016/j.earscirev.2019.102973 – volume: 218 start-page: 173 year: 2017 ident: ref_29 article-title: Landslide displacement prediction based on multivariate chaotic model and extreme learning machine publication-title: Eng. Geol. doi: 10.1016/j.enggeo.2017.01.016 – volume: 16 start-page: 2445 year: 2019 ident: ref_37 article-title: Successful early warning and emergency response of a disastrous rockslide in Guizhou province, China publication-title: Landslides doi: 10.1007/s10346-019-01269-6 – volume: 10 start-page: 91 year: 2013 ident: ref_6 article-title: Updating and tuning a regional-scale landslide early warning system publication-title: Landslides doi: 10.1007/s10346-012-0376-y – volume: 54 start-page: 21 year: 2003 ident: ref_42 article-title: Forecasting giant, catastrophic slope collapse: Lessons from Vajont, Northern Italy publication-title: Geomorphology doi: 10.1016/S0169-555X(03)00052-7 – volume: 288 start-page: 106143 year: 2021 ident: ref_25 article-title: Prediction of rainfall-induced landslide movements in the presence of stabilizing piles publication-title: Eng. Geol. doi: 10.1016/j.enggeo.2021.106143 – volume: 14 start-page: 141 year: 2017 ident: ref_54 article-title: Monitoring and early warning of the 2012 Preonzo catastrophic rockslope failure publication-title: Landslides doi: 10.1007/s10346-016-0701-y – volume: 13 start-page: 215 year: 2016 ident: ref_12 article-title: An integrated methodology for landslides’ early warning systems publication-title: Landslides doi: 10.1007/s10346-015-0563-8 – volume: 245 start-page: 72 year: 2018 ident: ref_26 article-title: Landslide time-of-failure forecast and alert threshold assessment: A generalized criterion publication-title: Eng. Geol. doi: 10.1016/j.enggeo.2018.08.003 – ident: ref_32 doi: 10.1029/2012JF002367 – volume: 278 start-page: 105817 year: 2020 ident: ref_36 article-title: Successful implementations of a real-time and intelligent early warning system for loess landslides on the Heifangtai terrace, China publication-title: Eng. Geol. doi: 10.1016/j.enggeo.2020.105817 – volume: 78 start-page: 2093 year: 2019 ident: ref_50 article-title: Identification of movement characteristics and causal factors of the Shuping landslide based on monitored displacements publication-title: Bull. Eng. Geol. Environ. doi: 10.1007/s10064-018-1237-2 – ident: ref_1 doi: 10.3390/rs13020224 – volume: 13 start-page: 1139 year: 2016 ident: ref_51 article-title: Interpreting the influence of rainfall and reservoir infilling on a landslide publication-title: Landslides doi: 10.1007/s10346-015-0644-8 – ident: ref_40 – ident: ref_15 doi: 10.1029/2019JF005513 – volume: 14 start-page: 995 year: 2017 ident: ref_8 article-title: Definition and performance of a threshold-based early warning model for rainfall-induced Landslides publication-title: Landslides doi: 10.1007/s10346-016-0750-2 – volume: 18 start-page: 2247 year: 2021 ident: ref_58 article-title: Integrated use of archival aerial photogrammetry, GNSS, and InSAR data for the monitoring of the Patigno landslide (Northern Apennines, Italy) publication-title: Landslides doi: 10.1007/s10346-021-01635-3 – volume: 17 start-page: 877 year: 2020 ident: ref_24 article-title: Application of hydrological model simulations in landslide predictions publication-title: Landslides doi: 10.1007/s10346-019-01296-3 – volume: 16 start-page: 1003 year: 2019 ident: ref_48 article-title: Successive landsliding and damming of the Jinsha River in eastern Tibet, China: Prime investigation, early warning, and emergency response publication-title: Landslides doi: 10.1007/s10346-019-01159-x – volume: 17 start-page: 2879 year: 2020 ident: ref_19 article-title: Understanding the deformation mechanism and threshold reservoir level of the floating weight-reducing landslide in the Three Gorges Reservoir Area, China publication-title: Landslides doi: 10.1007/s10346-020-01435-1 – volume: 2021 start-page: 6692503 year: 2021 ident: ref_30 article-title: A Landslide Displacement Prediction Method with Iteration-Based Combined Strategy publication-title: Math. Probl. Eng. – volume: 31 start-page: 1051 year: 2020 ident: ref_55 article-title: A Predictive, Two-Parameter Model for the Movement of Reservoir Landslides publication-title: J. Earth Sci.-China doi: 10.1007/s12583-020-1331-9 – volume: 16 start-page: 213 year: 2019 ident: ref_27 article-title: Monitoring strategies for local landslide early warning systems publication-title: Landslides doi: 10.1007/s10346-018-1068-z – volume: 80 start-page: 5405 year: 2021 ident: ref_45 article-title: Effects of reservoir water level fluctuations and rainfall on a landslide by two-way ANOVA and K-means clustering publication-title: Bull. Eng. Geol. Environ. doi: 10.1007/s10064-021-02273-8 – volume: 79 start-page: 673 year: 2019 ident: ref_53 article-title: Using a kernel extreme learning machine with grey wolf optimization to predict the displacement of step-like landslide publication-title: Bull. Eng. Geol. Environ. doi: 10.1007/s10064-019-01598-9 – volume: 81 start-page: 887 year: 2016 ident: ref_11 article-title: Developing an early warning system for a very slow landslide based on displacement monitoring publication-title: Nat. Hazards doi: 10.1007/s11069-015-2110-2 – volume: 193 start-page: 333 year: 2019 ident: ref_31 article-title: Forecasting the time of failure of landslides at slope-scale: A literature review publication-title: Earth-Sci. Rev. doi: 10.1016/j.earscirev.2019.03.019 – volume: 14 start-page: 947 year: 2017 ident: ref_23 article-title: Method for prediction of landslide movements based on random forests publication-title: Landslides doi: 10.1007/s10346-016-0761-z – ident: ref_33 – volume: 279 start-page: 105917 year: 2020 ident: ref_38 article-title: Landslide early warning, case studies from Southwest China publication-title: Eng. Geol. doi: 10.1016/j.enggeo.2020.105917 – volume: 17 start-page: 191 year: 2020 ident: ref_20 article-title: Model test of the influence of cyclic water level fluctuations on a landslide publication-title: J. Mt. Sci.-Engl. doi: 10.1007/s11629-019-5713-9 – volume: 44 start-page: 308 year: 2007 ident: ref_34 article-title: Forecasting potential rock slope failure in open pit mines using the inverse-velocity method publication-title: Int. J. Rock Mech. Min. Sci. doi: 10.1016/j.ijrmms.2006.07.014 – volume: 261 start-page: 105279 year: 2019 ident: ref_39 article-title: Susceptibility of reservoir-induced landslides and strategies for increasing the slope stability in the Three Gorges Reservoir Area: Zigui Basin as an example publication-title: Eng. Geol. doi: 10.1016/j.enggeo.2019.105279 – volume: 86 start-page: 37 year: 2006 ident: ref_49 article-title: Characteristics, mechanism and development tendency of deformation of Maoping landslide after commission of Geheyan reservoir on the Qingjiang River, Hubei Province, China publication-title: Eng. Geol. doi: 10.1016/j.enggeo.2006.04.004 – ident: ref_22 doi: 10.3390/s20030845 – volume: 228 start-page: 71 year: 2017 ident: ref_28 article-title: On the monitoring and early-warning of brittle slope failures in hard rock masses: Examples from an open-pit mine publication-title: Eng. Geol. doi: 10.1016/j.enggeo.2017.08.007 – volume: 261 start-page: 105267 year: 2019 ident: ref_2 article-title: Geohazards in the three Gorges Reservoir Area, China—Lessons learned from decades of research publication-title: Eng. Geol. doi: 10.1016/j.enggeo.2019.105267 – volume: 283 start-page: 105975 year: 2021 ident: ref_44 article-title: Landslide displacement prediction using kinematics-based random forests method: A case study in Jinping Reservoir Area, China publication-title: Eng. Geol. doi: 10.1016/j.enggeo.2020.105975 – volume: 27 start-page: 1104 year: 2008 ident: ref_41 article-title: Research on space-time evolution laws and early warning-prediction of Landslides publication-title: J. Rock Mech. Eng. – volume: 147 start-page: 124 year: 2012 ident: ref_4 article-title: Design and implementation of a landslide early warning system publication-title: Eng. Geol. doi: 10.1016/j.enggeo.2012.07.017 – volume: 15 start-page: 123 year: 2018 ident: ref_56 article-title: The Maoxian landslide as seen from space: Detecting precursors of failure with Sentinel-1 data publication-title: Landslides doi: 10.1007/s10346-017-0915-7 – volume: 5 start-page: 3 year: 2008 ident: ref_14 article-title: The rainfall intensity–duration control of shallow landslides and debris flows: An update publication-title: Landslides doi: 10.1007/s10346-007-0112-1 – volume: 12 start-page: 481 year: 2015 ident: ref_21 article-title: Prediction of changes in landslide rates induced by rainfall publication-title: Landslides doi: 10.1007/s10346-014-0495-8 – volume: 1 start-page: 157 year: 2004 ident: ref_46 article-title: The July 14, 2003 Qianjiangping landslide, Three Gorges Reservoir, China publication-title: Landslides doi: 10.1007/s10346-004-0020-6 |
| SSID | ssj0000331904 |
| Score | 2.3759353 |
| Snippet | The triggering threshold is one of the most important parameters for landslide early warning systems (EWSs) at the slope scale. In the present work, a velocity... |
| SourceID | doaj proquest crossref |
| SourceType | Open Website Aggregation Database Enrichment Source Index Database |
| StartPage | 4977 |
| SubjectTerms | China Dams Deformation early warning system Early warning systems Emergency communications systems Evolution Failure GNSS Hydroelectric power landslide Landslides Landslides & mudslides Monitoring Reservoirs Sea level Stone threshold Thresholds time series analysis Unmanned aerial vehicles Velocity Warning systems water level Water level fluctuations Water levels |
| SummonAdditionalLinks | – databaseName: Open Access: DOAJ - Directory of Open Access Journals dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8QwEA4igl7EJ64vInrxUGyTbJscfXuQRfCBt9KkEy1IV7qr4L93Jq2rouDFY9M5hMlk5ptk8g1je0p4jJoWELnFOlJGy6goQUQWSlx9YzOjXWg2kQ0G-v7eXH1p9UU1YS09cKu4A-GsNjZJiixNVd_FpjReATrcNLEeDY68b5yZL8lU8MESTStWLR-pxLz-oBlh3qUUwp1vESgQ9f_wwyG4nC2w-Q4V8sN2NotsCuolNts1KH98W2YPN6jzEV0V8RPwVR0KrTgCTt5uSjqd4-cY-Pglvd19qkrg9Dyswe_mAfgdpsTt2Ryvak7lds3rsMK_VDPEQ90APx9cX6-w27PTm-OLqOuREDlp1DjyBXjhjNaeOIpELApEPFamFkSpUEmp9CYBI0o67ATdL5WVUHgnE-u09VKusul6WMMa4yWCRZvKtHCJVdopqxJv-hqHABRkWY_tf-gtdx2BOPWxeMoxkSAd55867rHdiexzS5vxq9QRqX8iQVTXYQANIO8MIP_LAHps82Px8m7_jXIiRkNkhR60x3Ymv3Hn0HVIUcPwhWQkRmqEi2b9P-axweYE1buEUpdNNj1uXmCLzbjXcTVqtoN5vgOxKul9 priority: 102 providerName: Directory of Open Access Journals |
| Title | Threshold Definition for Monitoring Gapa Landslide under Large Variations in Reservoir Level Using GNSS |
| URI | https://www.proquest.com/docview/2612846887 https://www.proquest.com/docview/2636784359 https://doaj.org/article/2cb89b11a76645c09d9f4e21261bf425 |
| Volume | 13 |
| WOSCitedRecordID | wos000738538100001&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: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: DOA dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: M~E dateStart: 20090101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: P5Z dateStart: 20090301 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Earth, Atmospheric & Aquatic Science Database customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: PCBAR dateStart: 20090301 isFulltext: true titleUrlDefault: https://search.proquest.com/eaasdb providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: M7S dateStart: 20090301 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: BENPR dateStart: 20090301 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: PIMPY dateStart: 20090301 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3db9QwDI9gQ4IXvhEH4xQELzxUa5NcmzwhBreBBKeKG2jwUjWpc1Sa2tHeJvHC346d9m5CIF54idTEqqo69s92HJux50p4RE0LaLnFOlJGy6isQEQWKuS-sZnRLjSbyBYLfXJi8jHg1o9plRudGBR11TqKke9TqSvESpSJl2ffI-oaRaerYwuNq2yXqiQkIXVvuY2xxBI3WKyGqqQSvfv9rkfvSyk0en7DoVCu_w9tHCDm8Nb_ftxtdnM0LvmrYTfcYVegucuuj33Ov_24x1bHyLqeTpz4G_B1E_K1ONqtfJBtCvLxI8RP_p6uAJ_WFXC6Zdbhc7cC_hk96yHEx-uGU9Zed9HWuEqpRzykH_CjxXJ5n306nB-_fhuNrRYiJ41aR74EL5zR2lOpIxGLEg0nK1MLolIJgrj0JgEjKoqZgp5VykoovZOJddp6KR-wnaZt4CHjFdqcNpVp6RKrtFNWJd7MNE4BKMiyCXux-fGFG-uQUzuM0wL9EWJSccmkCXu2pT0bqm_8leqA-LeloIrZYaLtVsUogIVwVhubJGWWpmrmYlMZrwCBO02sR8U1YXsb1hajGPfFJV8n7Ol2GQWQTlXKBtpzopEI-Gh1mkf_fsVjdkNQQkzIhdljO-vuHJ6wa-5iXffdlO0ezBf5x2kICkzDPqbx5xzHfPYV1_N3H_IvvwBk_f7O |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwELaqLVK58EYsLWAEHDhETWJvYh8QAkrbVberlbqgckpjZ7xEqpI22Rb1T_EbmcljKwTi1gPH2KNIiT_PfDMezzD2WoYOraYBZG6-8qRWwkszCD0DGa6-NrFWtmk2EU-n6vhYz9bYz_4uDKVV9jqxUdRZaSlGvk2lrtBW4p54f3buUdcoOl3tW2i0sDiAqx_ostXvxju4vm_CcPfz_NO-13UV8KzQcum5FFxotVKOqvqg758iRzAiMhBmMkB7JZwOQIcZhQdBjTJpBKTOisBYZRwFQFHlr0sC-4Ctz8aHs2-rqI4vENK-bOugCqH97apGf09KpFm_Wb6mQcAf-r8xart3_7ffcY_d6egz_9Di_T5bg-IB2-g6uX-_esgWcwRnTWdqfAdcXjQZaRyZOW-1F4Ux-R4yBD6hS86neQac7tFV-FwtgH9NqxasNc8LTnmJ1WWZ4ywlV_EmwYLvTY-OHrEvN_Kdj9mgKAt4wniGrNpEIkptYKSy0sjA6ZHCIQAJcTxkb_uFTmxXaZ0afpwm6HERKJJrUAzZq5XsWVtf5K9SHwkvKwmqCd4MlNUi6VRMElqjtAmCNI4iObK-zrSTgNQkCoxDtA7ZVg-lpFNUdXKNoyF7uZpGFUPnRmkB5QXJCKQ0yKv103-_4gXb2J8fTpLJeHqwyW6HlP7TZP5sscGyuoBn7Ja9XOZ19bzbN5yd3DQ2fwFC71e5 |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Nb9QwELWqgoAL34iFAkbAgUO0ie1N7ANCwLKlarVaqQVVXNLYGS-RqqQk26L-NX4dM_nYCoG49cAxthUp8fPM8_h5hrGXSnj0mhaQuYU6UEbLIMtBBBZynH1jE6NdW2wimc_14aFZbLCfw10YklUONrE11HnlKEY-plRX6CtxTYx9L4tYTGdvT74HVEGKTlqHchodRHbh_Adu35o3O1Oc61dCzD4efPgU9BUGAieNWgU-Ay-c0dpThh8Rigz5gpWxBZGrCH2X9CYCI3IKFYKe5MpKyLyTkXXaegqGovm_kuAek-SEi8nXdXwnlAjuUHUZUaU04bhucOenFBKu33xgWyrgD0_QurfZrf_5x9xmN3tSzd91q-AO24DyLrve13f_dn6PLQ8Qsg2dtPEp-KJsdWoc-TrvbBoFN_k28ga-R1efj4scON2uq_G5XgL_ktUdhBtelJzUivVZVWAvSa54K7vg2_P9_fvs86V85wO2WVYlPGQ8R65tYxlnLrJKO2VV5M1EYxOAgiQZsdfDpKeuz79OZUCOU9yHEUDSC4CM2Iv12JMu68hfR70n7KxHUKbwtqGql2lveFLhrDY2irIkjtXEhSY3XgESljiyHg32iG0NsEp789WkF5gasefrbjQ8dJqUlVCd0hiJRAfZtnn071c8Y9cQkOneznz3MbshSBPUyoG22OaqPoUn7Ko7WxVN_bRdQJwdXTYwfwHVDV8c |
| 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=Threshold+Definition+for+Monitoring+Gapa+Landslide+under+Large+Variations+in+Reservoir+Level+Using+GNSS&rft.jtitle=Remote+sensing+%28Basel%2C+Switzerland%29&rft.au=Wu%2C+Shuangshuang&rft.au=Hu%2C+Xinli&rft.au=Zheng%2C+Wenbo&rft.au=Berti%2C+Matteo&rft.date=2021-12-01&rft.pub=MDPI+AG&rft.eissn=2072-4292&rft.volume=13&rft.issue=24&rft.spage=4977&rft_id=info:doi/10.3390%2Frs13244977&rft.externalDBID=HAS_PDF_LINK |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2072-4292&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2072-4292&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2072-4292&client=summon |