An interval multiobjective approach considering irrigation canal system conditions for managing irrigation water
In order to consider irrigation canal system conditions in irrigation-water management, this study developed an interval multiobjective approach for helping irrigation-water managers solve the multiobjective problem under interval uncertainty in the process of allocating limited irrigation water. Ir...
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| Vydáno v: | Journal of cleaner production Ročník 211; s. 293 - 302 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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20.02.2019
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| ISSN: | 0959-6526, 1879-1786 |
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| Abstract | In order to consider irrigation canal system conditions in irrigation-water management, this study developed an interval multiobjective approach for helping irrigation-water managers solve the multiobjective problem under interval uncertainty in the process of allocating limited irrigation water. Irrigation canal system conditions in this study mainly refer to canals distribution reflected by topological relations between canals and irrigation districts, and canals seepage estimated by multiple linear regression model. The proposed approach could address the conflicting objectives under interval uncertainty and help irrigation-water managers obtain more practical allocation schemes. This approach was applied to the middle reaches of Heihe River basin for allocating limited irrigation water among multiple irrigation districts (IDs) to demonstrate its applicability and practicality. Through the proposed approach, three different objectives were coordinated. These obtained results can not only display the amount of water allocated to each ID and canal but also show the amount of seepage from canals and field. From the optimized results, local water managers could obtain both better irrigation-water allocation scheme and find out the limited points of canals for IDs’ future development. Additionally, two comparisons illustrated that the results obtained by proposed approach are more practical than single objective with the same constraints and the interval multiobjective programming (IMP) model without considering canal system conditions in allocating irrigation water among IDs. This approach is valuable for improving the feasibility of optimal results in irrigation-water management, and it provides a possible way to take these important factors into account for related researches.
•An interval multiobjective approach is developed considering irrigation canal system conditions.•The proposed approach can improve the practicality of the optimized schemes in practice.•This approach is applied to a case study for planning limited irrigation water.•The results offer operable allocation schemes for local irrigation-water managers to improve agricultural production ability. |
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| AbstractList | In order to consider irrigation canal system conditions in irrigation-water management, this study developed an interval multiobjective approach for helping irrigation-water managers solve the multiobjective problem under interval uncertainty in the process of allocating limited irrigation water. Irrigation canal system conditions in this study mainly refer to canals distribution reflected by topological relations between canals and irrigation districts, and canals seepage estimated by multiple linear regression model. The proposed approach could address the conflicting objectives under interval uncertainty and help irrigation-water managers obtain more practical allocation schemes. This approach was applied to the middle reaches of Heihe River basin for allocating limited irrigation water among multiple irrigation districts (IDs) to demonstrate its applicability and practicality. Through the proposed approach, three different objectives were coordinated. These obtained results can not only display the amount of water allocated to each ID and canal but also show the amount of seepage from canals and field. From the optimized results, local water managers could obtain both better irrigation-water allocation scheme and find out the limited points of canals for IDs’ future development. Additionally, two comparisons illustrated that the results obtained by proposed approach are more practical than single objective with the same constraints and the interval multiobjective programming (IMP) model without considering canal system conditions in allocating irrigation water among IDs. This approach is valuable for improving the feasibility of optimal results in irrigation-water management, and it provides a possible way to take these important factors into account for related researches.
•An interval multiobjective approach is developed considering irrigation canal system conditions.•The proposed approach can improve the practicality of the optimized schemes in practice.•This approach is applied to a case study for planning limited irrigation water.•The results offer operable allocation schemes for local irrigation-water managers to improve agricultural production ability. In order to consider irrigation canal system conditions in irrigation-water management, this study developed an interval multiobjective approach for helping irrigation-water managers solve the multiobjective problem under interval uncertainty in the process of allocating limited irrigation water. Irrigation canal system conditions in this study mainly refer to canals distribution reflected by topological relations between canals and irrigation districts, and canals seepage estimated by multiple linear regression model. The proposed approach could address the conflicting objectives under interval uncertainty and help irrigation-water managers obtain more practical allocation schemes. This approach was applied to the middle reaches of Heihe River basin for allocating limited irrigation water among multiple irrigation districts (IDs) to demonstrate its applicability and practicality. Through the proposed approach, three different objectives were coordinated. These obtained results can not only display the amount of water allocated to each ID and canal but also show the amount of seepage from canals and field. From the optimized results, local water managers could obtain both better irrigation-water allocation scheme and find out the limited points of canals for IDs’ future development. Additionally, two comparisons illustrated that the results obtained by proposed approach are more practical than single objective with the same constraints and the interval multiobjective programming (IMP) model without considering canal system conditions in allocating irrigation water among IDs. This approach is valuable for improving the feasibility of optimal results in irrigation-water management, and it provides a possible way to take these important factors into account for related researches. |
| Author | Guo, Shanshan Guo, Ping Zhang, Chenglong Zhang, Fan |
| Author_xml | – sequence: 1 givenname: Fan surname: Zhang fullname: Zhang, Fan – sequence: 2 givenname: Shanshan surname: Guo fullname: Guo, Shanshan – sequence: 3 givenname: Chenglong surname: Zhang fullname: Zhang, Chenglong – sequence: 4 givenname: Ping surname: Guo fullname: Guo, Ping email: guop@cau.edu.cn |
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| Cites_doi | 10.1111/1752-1688.12415 10.1061/(ASCE)WR.1943-5452.0000933 10.1016/j.jclepro.2017.06.185 10.1016/j.agwat.2009.12.014 10.1007/s11269-017-1678-6 10.3390/w9070488 10.15302/J-FASE-2017177 10.1061/(ASCE)WR.1943-5452.0000769 10.1016/j.agwat.2017.10.016 10.1007/s11269-012-0196-9 10.1016/S0378-7796(99)00074-7 10.1016/S0926-9851(97)00022-0 10.3390/su7089846 10.1016/0165-0114(78)90031-3 10.1016/j.agwat.2017.03.001 10.1016/j.agwat.2017.06.005 10.1016/j.jhydrol.2012.02.004 10.1016/j.jhydrol.2017.11.016 10.1007/s11269-016-1225-x 10.1061/(ASCE)IR.1943-4774.0001118 10.1007/s12597-013-0157-y 10.1016/j.jhydrol.2017.09.055 10.1016/j.jclepro.2017.05.191 10.1016/j.agwat.2018.07.026 |
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| References | Chen S, Shao D, Tan X, Gu W, Lei C. (2017b). An interval multistage classified model for regional inter- and intra-seasonal water management under uncertain and nonstationary condition. Agr. Water Manage., 191, 98-112. DOI Jamshid Mousavi S, Anzab NR, Asl-Rousta B, Kim JH. (2017). Multi-objective optimization-simulation for reliability-based inter-basin water allocation. Water Resour. Manag., 31(11), 3445-3464. DOI Li M, Fu Q, Singh VP, Liu D. (2018). An interval multi-objective programming model for irrigation water allocation under uncertainty. Agr. Water Manage., 196, 24-36. DOI Zhang F, Guo S, Ren C, Guo P. (2018a). Integrated IMO-TSP and AHP method for regional water allocation under uncertainty. J. Water Resour. Plann. Manag., 144(6), 4018025. DOI Zhang C, Li M, Guo P. (2017). An interval multistage joint-probabilistic chance-constrained programming model with left-hand-side randomness for crop area planning under uncertainty. J. Clean. Prod., 167(20), 1276-1289. DOI Li M, Fu Q, Singh VP, Ma M, Liu X. (2017). An intuitionistic fuzzy multi-objective non-linear programming model for sustainable irrigation water allocation under the combination of dry and wet conditions. J. Hydrol., 555, 80-94. DOI Cui L, Li Y, Huang G. (2015). Planning an agricultural water resources management system: a two-stage stochastic fractional programming model. Sustain.-Basel, 7(8), 9846-9863. DOI Zhang F, Zhang C, Yan Z, Guo S, Wang Y, Guo P. (2018c). An interval nonlinear multiobjective programming model with fuzzy-interval credibility constraint for crop monthly water allocation. Agr. Water Manage., 209(2018),123-133. DOI Ren C, Guo P, Tan Q, Zhang L. (2017). A multi-objective fuzzy programming model for optimal use of irrigation water and land resources under uncertainty in Gansu Province, China. J. Clean. Prod., 164. DOI Lachhwani K. (2014). On solving multi-level multi objective linear programming problems through fuzzy goal programming approach. Opsearch, 51(4), 624-637. DOI Zimmermann HJ. (1978). Fuzzy programming and linear programming with several objective functions Fuzzy Set Syst., 1(1), 45-55. DOI Li M, Guo P, Singh VP, Zhao J. (2016). Irrigation water allocation using an inexact two-stage quadratic programming with fuzzy input under climate change. J. Am. Water Resour. Assoc., 52(3), 667-684. DOI Baky, Eid, El Sayed (bib1) 2013 Mao XM, Yao LQ, Feng SY, Wang YY. (2011). Numerical simulation on canal seepage and soil water distribution for concrete lining canal with layered soil structure. J. Hydraul. Eng., 42(8), 949-955. (in Chinese) Zhang F, Li M, Guo S, Zhang C, Guo P. (2018b). Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang River Basin, north-west China. Front. Agricul. Sci. Eng., 5(2). DOI Tan Q, Huang GH, Cai YP. (2013). Multi-source multi-sector sustainable water supply under multiple uncertainties: an inexact fuzzy-stochastic quadratic programming approach. Water Resour. Manag., 27(2), 451-473. DOI Hota PK, Chakrabarti R, Chattopadhyay PK. (2000). Economic emission load dispatch through an interactive fuzzy satisfying method. Electr. Pow. Syst. Res., 54(3), 151-157. DOI Solomon, Ekolu (bib18) 2014; 344 Chen S, Shao D, Gu W, Xu B, Li H, Fang L. (2017a). An interval multistage water allocation model for crop different growth stages under inputs uncertainty. Agr. Water Manage., 186, 86-97. DOI Ministry of Water Resources, P.R.O.C. 2016. China Water Resources Bulletin. Beijing: China Water & Power Press. (in Chinese) Xu, Wang, Li, Huang, Dai (bib22) 2017 Gui Z, Li M, Guo P. (2016). Simulation-based inexact fuzzy semi-infinite programming method for agricultural cultivated area planning in the shiyang river basin. J. Irrigat. Drain. Eng... 143(2). DOI Engelbert PJ, Hotchkiss RH, Kelly WE. (1997). Integrated remote sensing and geophysical techniques for locating canal seepage in Nebraska. J. Appl. Geophys., 38(2), 143-154. DOI Kinzli K, Martinez M, Oad R, Prior A, Gensler D. (2010). Using an ADCP to determine canal seepage loss in an irrigation district. Agr. Water Manage., 97(6), 801-810. DOI Tabari MMR, Mari MM. (2016). The integrated approach of simulation and optimization in determining the optimum dimensions of canal for seepage control. Water Resour. Manag., 30(3), 1271-1292. DOI Tan Q, Zhang S, Li R. (2017). Optimal use of agricultural water and land resources through reconfiguring crop planting structure under socioeconomic and ecological objectives. Water-Sui, 9(7), 488. DOI Lence BJ, Moosavian N, Daliri H. (2017). Fuzzy programming approach for multiobjective optimization of water distribution systems. J. Water Resour. Plann. Manag., 143(040170207). DOI Yao L, Feng S, Mao X, Huo Z, Kang S, Barry DA. (2012). Coupled effects of canal lining and multi-layered soil structure on canal seepage and soil water dynamics. J. Hydrol., 431(14), 91-102. DOI Zhuang XW, Li YP, Nie S, Fan YR, Huang GH. (2018). Analyzing climate change impacts on water resources under uncertainty using an integrated simulation-optimization approach. J. Hydrol., 556, 523-538. DOI 10.1016/j.jclepro.2018.11.111_bib29 10.1016/j.jclepro.2018.11.111_bib28 10.1016/j.jclepro.2018.11.111_bib27 10.1016/j.jclepro.2018.11.111_bib26 Xu (10.1016/j.jclepro.2018.11.111_bib22) 2017 10.1016/j.jclepro.2018.11.111_bib24 10.1016/j.jclepro.2018.11.111_bib23 Baky (10.1016/j.jclepro.2018.11.111_bib1) 2013 10.1016/j.jclepro.2018.11.111_bib21 10.1016/j.jclepro.2018.11.111_bib20 10.1016/j.jclepro.2018.11.111_bib9 10.1016/j.jclepro.2018.11.111_bib8 10.1016/j.jclepro.2018.11.111_bib7 10.1016/j.jclepro.2018.11.111_bib6 10.1016/j.jclepro.2018.11.111_bib5 Solomon (10.1016/j.jclepro.2018.11.111_bib18) 2014; 344 10.1016/j.jclepro.2018.11.111_bib19 10.1016/j.jclepro.2018.11.111_bib17 10.1016/j.jclepro.2018.11.111_bib16 10.1016/j.jclepro.2018.11.111_bib15 10.1016/j.jclepro.2018.11.111_bib14 10.1016/j.jclepro.2018.11.111_bib4 10.1016/j.jclepro.2018.11.111_bib13 10.1016/j.jclepro.2018.11.111_bib3 10.1016/j.jclepro.2018.11.111_bib12 10.1016/j.jclepro.2018.11.111_bib2 10.1016/j.jclepro.2018.11.111_bib11 10.1016/j.jclepro.2018.11.111_bib10 10.1016/j.jclepro.2018.11.111_bib30 |
| References_xml | – reference: Jamshid Mousavi S, Anzab NR, Asl-Rousta B, Kim JH. (2017). Multi-objective optimization-simulation for reliability-based inter-basin water allocation. Water Resour. Manag., 31(11), 3445-3464. DOI: – reference: Zhuang XW, Li YP, Nie S, Fan YR, Huang GH. (2018). Analyzing climate change impacts on water resources under uncertainty using an integrated simulation-optimization approach. J. Hydrol., 556, 523-538. DOI: – reference: Mao XM, Yao LQ, Feng SY, Wang YY. (2011). Numerical simulation on canal seepage and soil water distribution for concrete lining canal with layered soil structure. J. Hydraul. Eng., 42(8), 949-955. (in Chinese) – reference: Gui Z, Li M, Guo P. (2016). Simulation-based inexact fuzzy semi-infinite programming method for agricultural cultivated area planning in the shiyang river basin. J. Irrigat. Drain. Eng... 143(2). DOI: – reference: Li M, Guo P, Singh VP, Zhao J. (2016). Irrigation water allocation using an inexact two-stage quadratic programming with fuzzy input under climate change. J. Am. Water Resour. Assoc., 52(3), 667-684. DOI: – reference: Ministry of Water Resources, P.R.O.C. 2016. China Water Resources Bulletin. Beijing: China Water & Power Press. (in Chinese) – reference: Zimmermann HJ. (1978). Fuzzy programming and linear programming with several objective functions Fuzzy Set Syst., 1(1), 45-55. DOI: – year: 2013 ident: bib1 article-title: Bi-level multi-objective programming problem with fuzzy demands: a fuzzy goal programming algorithm publication-title: Opsearch – year: 2017 ident: bib22 article-title: Stochastic optimization model for water allocation on a watershed scale considering wetland's ecological water requirement publication-title: Ecol. Indic. – reference: Li M, Fu Q, Singh VP, Liu D. (2018). An interval multi-objective programming model for irrigation water allocation under uncertainty. Agr. Water Manage., 196, 24-36. DOI: – reference: Yao L, Feng S, Mao X, Huo Z, Kang S, Barry DA. (2012). Coupled effects of canal lining and multi-layered soil structure on canal seepage and soil water dynamics. J. Hydrol., 431(14), 91-102. DOI: – reference: Lachhwani K. (2014). On solving multi-level multi objective linear programming problems through fuzzy goal programming approach. Opsearch, 51(4), 624-637. DOI: – reference: Li M, Fu Q, Singh VP, Ma M, Liu X. (2017). An intuitionistic fuzzy multi-objective non-linear programming model for sustainable irrigation water allocation under the combination of dry and wet conditions. J. Hydrol., 555, 80-94. DOI: – reference: Zhang F, Guo S, Ren C, Guo P. (2018a). Integrated IMO-TSP and AHP method for regional water allocation under uncertainty. J. Water Resour. Plann. Manag., 144(6), 4018025. DOI: – reference: Lence BJ, Moosavian N, Daliri H. (2017). Fuzzy programming approach for multiobjective optimization of water distribution systems. J. Water Resour. Plann. Manag., 143(040170207). DOI: – reference: Tabari MMR, Mari MM. (2016). The integrated approach of simulation and optimization in determining the optimum dimensions of canal for seepage control. Water Resour. Manag., 30(3), 1271-1292. DOI: – reference: Zhang F, Li M, Guo S, Zhang C, Guo P. (2018b). Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang River Basin, north-west China. Front. Agricul. Sci. Eng., 5(2). DOI: – reference: Hota PK, Chakrabarti R, Chattopadhyay PK. (2000). Economic emission load dispatch through an interactive fuzzy satisfying method. Electr. Pow. Syst. Res., 54(3), 151-157. DOI: – reference: Engelbert PJ, Hotchkiss RH, Kelly WE. (1997). Integrated remote sensing and geophysical techniques for locating canal seepage in Nebraska. J. Appl. Geophys., 38(2), 143-154. DOI: – reference: Chen S, Shao D, Tan X, Gu W, Lei C. (2017b). An interval multistage classified model for regional inter- and intra-seasonal water management under uncertain and nonstationary condition. Agr. Water Manage., 191, 98-112. DOI: – reference: Tan Q, Huang GH, Cai YP. (2013). Multi-source multi-sector sustainable water supply under multiple uncertainties: an inexact fuzzy-stochastic quadratic programming approach. Water Resour. Manag., 27(2), 451-473. DOI: – reference: Zhang C, Li M, Guo P. (2017). An interval multistage joint-probabilistic chance-constrained programming model with left-hand-side randomness for crop area planning under uncertainty. J. Clean. Prod., 167(20), 1276-1289. DOI: – reference: Tan Q, Zhang S, Li R. (2017). Optimal use of agricultural water and land resources through reconfiguring crop planting structure under socioeconomic and ecological objectives. Water-Sui, 9(7), 488. DOI: – reference: Chen S, Shao D, Gu W, Xu B, Li H, Fang L. (2017a). An interval multistage water allocation model for crop different growth stages under inputs uncertainty. Agr. Water Manage., 186, 86-97. DOI: – reference: Kinzli K, Martinez M, Oad R, Prior A, Gensler D. (2010). Using an ADCP to determine canal seepage loss in an irrigation district. Agr. Water Manage., 97(6), 801-810. DOI: – reference: Cui L, Li Y, Huang G. (2015). Planning an agricultural water resources management system: a two-stage stochastic fractional programming model. Sustain.-Basel, 7(8), 9846-9863. DOI: – reference: Zhang F, Zhang C, Yan Z, Guo S, Wang Y, Guo P. (2018c). An interval nonlinear multiobjective programming model with fuzzy-interval credibility constraint for crop monthly water allocation. Agr. Water Manage., 209(2018),123-133. DOI: – volume: 344 year: 2014 ident: bib18 article-title: Effect of clay-concrete lining on canal seepage towards the drainage region – an analysis using Finite-Element method publication-title: Science – reference: Ren C, Guo P, Tan Q, Zhang L. (2017). A multi-objective fuzzy programming model for optimal use of irrigation water and land resources under uncertainty in Gansu Province, China. J. Clean. Prod., 164. DOI: – ident: 10.1016/j.jclepro.2018.11.111_bib14 doi: 10.1111/1752-1688.12415 – ident: 10.1016/j.jclepro.2018.11.111_bib26 doi: 10.1061/(ASCE)WR.1943-5452.0000933 – ident: 10.1016/j.jclepro.2018.11.111_bib17 doi: 10.1016/j.jclepro.2017.06.185 – ident: 10.1016/j.jclepro.2018.11.111_bib9 doi: 10.1016/j.agwat.2009.12.014 – ident: 10.1016/j.jclepro.2018.11.111_bib8 doi: 10.1007/s11269-017-1678-6 – ident: 10.1016/j.jclepro.2018.11.111_bib21 doi: 10.3390/w9070488 – ident: 10.1016/j.jclepro.2018.11.111_bib27 doi: 10.15302/J-FASE-2017177 – year: 2013 ident: 10.1016/j.jclepro.2018.11.111_bib1 article-title: Bi-level multi-objective programming problem with fuzzy demands: a fuzzy goal programming algorithm publication-title: Opsearch – year: 2017 ident: 10.1016/j.jclepro.2018.11.111_bib22 article-title: Stochastic optimization model for water allocation on a watershed scale considering wetland's ecological water requirement publication-title: Ecol. Indic. – ident: 10.1016/j.jclepro.2018.11.111_bib11 doi: 10.1061/(ASCE)WR.1943-5452.0000769 – volume: 344 issue: 6181 year: 2014 ident: 10.1016/j.jclepro.2018.11.111_bib18 article-title: Effect of clay-concrete lining on canal seepage towards the drainage region – an analysis using Finite-Element method publication-title: Science – ident: 10.1016/j.jclepro.2018.11.111_bib12 doi: 10.1016/j.agwat.2017.10.016 – ident: 10.1016/j.jclepro.2018.11.111_bib16 – ident: 10.1016/j.jclepro.2018.11.111_bib20 doi: 10.1007/s11269-012-0196-9 – ident: 10.1016/j.jclepro.2018.11.111_bib7 doi: 10.1016/S0378-7796(99)00074-7 – ident: 10.1016/j.jclepro.2018.11.111_bib5 doi: 10.1016/S0926-9851(97)00022-0 – ident: 10.1016/j.jclepro.2018.11.111_bib4 doi: 10.3390/su7089846 – ident: 10.1016/j.jclepro.2018.11.111_bib30 doi: 10.1016/0165-0114(78)90031-3 – ident: 10.1016/j.jclepro.2018.11.111_bib2 doi: 10.1016/j.agwat.2017.03.001 – ident: 10.1016/j.jclepro.2018.11.111_bib3 doi: 10.1016/j.agwat.2017.06.005 – ident: 10.1016/j.jclepro.2018.11.111_bib23 doi: 10.1016/j.jhydrol.2012.02.004 – ident: 10.1016/j.jclepro.2018.11.111_bib29 doi: 10.1016/j.jhydrol.2017.11.016 – ident: 10.1016/j.jclepro.2018.11.111_bib19 doi: 10.1007/s11269-016-1225-x – ident: 10.1016/j.jclepro.2018.11.111_bib6 doi: 10.1061/(ASCE)IR.1943-4774.0001118 – ident: 10.1016/j.jclepro.2018.11.111_bib10 doi: 10.1007/s12597-013-0157-y – ident: 10.1016/j.jclepro.2018.11.111_bib13 doi: 10.1016/j.jhydrol.2017.09.055 – ident: 10.1016/j.jclepro.2018.11.111_bib24 doi: 10.1016/j.jclepro.2017.05.191 – ident: 10.1016/j.jclepro.2018.11.111_bib15 – ident: 10.1016/j.jclepro.2018.11.111_bib28 doi: 10.1016/j.agwat.2018.07.026 |
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| Snippet | In order to consider irrigation canal system conditions in irrigation-water management, this study developed an interval multiobjective approach for helping... |
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| SubjectTerms | Interval multiobjective programming Irrigation canal system conditions irrigation canals irrigation management irrigation water Irrigation water allocation regression analysis seepage topology Uncertainty watersheds |
| Title | An interval multiobjective approach considering irrigation canal system conditions for managing irrigation water |
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