A SWAT modeling approach to assess the impact of climate change on consumptive water use in Lower Chenab Canal area of Indus basin
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作者:
Awan, Usman Khalid
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ICARDA, 15 Khalid Abu Dalbouh St,POB 950764, Amman, JordanICARDA, 15 Khalid Abu Dalbouh St,POB 950764, Amman, Jordan
Awan, Usman Khalid
[1
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Liaqat, Umar Waqas
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机构:
Hanyang Univ, Coll Engn, Dept Civil & Environm Engn, Seoul 133791, South KoreaICARDA, 15 Khalid Abu Dalbouh St,POB 950764, Amman, Jordan
Liaqat, Umar Waqas
[2
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Choi, Minha
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机构:
Sungkyunkwan Univ, Grad Sch Water Resources, Dept Water Resources, Water Resources & Remote Sensing Lab, 2066 Seobu Ro, Suwon 440746, South KoreaICARDA, 15 Khalid Abu Dalbouh St,POB 950764, Amman, Jordan
Choi, Minha
[3
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Ismaeel, Ali
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ICARDA, 15 Khalid Abu Dalbouh St,POB 950764, Amman, JordanICARDA, 15 Khalid Abu Dalbouh St,POB 950764, Amman, Jordan
Ismaeel, Ali
[1
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机构:
[1] ICARDA, 15 Khalid Abu Dalbouh St,POB 950764, Amman, Jordan
[2] Hanyang Univ, Coll Engn, Dept Civil & Environm Engn, Seoul 133791, South Korea
[3] Sungkyunkwan Univ, Grad Sch Water Resources, Dept Water Resources, Water Resources & Remote Sensing Lab, 2066 Seobu Ro, Suwon 440746, South Korea
Accurate assessment of spatio-temporal variations of consumptive water use (CWU) in large irrigation schemes is crucial for several hydrological applications. This study is designed to evaluate the impact of climate change on CWU in the Lower Chenab Canal (LCC) irrigation scheme of the Indus basin irrigation system of Pakistan. A distributed hydrological model, the soil and water assessment tool (SWAT), was spatially calibrated (2005-2009) and validated (2010-2012) for monthly CWU. The estimated CWU using the SWAT model showed promising results (the coefficient of determination (R-2) = 0.87 +/- 0.06, Nash-Sutcliffe model efficiency (NSE) = 0.83 +/- 0.06)) when compared with CWU determined by the Surface Energy Balance Algorithm (SEBAL) (R-2 = 0.87 +/- 0.06, NSE = 0.83 +/- 0.06). Future evaluation, performed by considering the representative concentration pathways (RCP) 4.5 and 8.5 climate change scenarios, showed that changes in temperature and rainfall would significantly influence the CWU in the LCC scheme. Compared with the reference period, annual water consumption in the basin would increase overall by 7% and 11% at the end of 2020 with monthly variations of -40% to 60% and -17% to 80% under RCP 4.5 and RCP 8.5 climate change scenarios, respectively. The water managers in the region have to consider this fluctuating consumptive use in water allocation plans due to climate change for better management of available water resources.
机构:
Ulsan Natl Inst Sci & Technol, Sch Urban & Environm Engn, UNIST Gil 50, Ulsan 44919, South KoreaUlsan Natl Inst Sci & Technol, Sch Urban & Environm Engn, UNIST Gil 50, Ulsan 44919, South Korea
Kim, Minjeong
Boithias, Laurie
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Univ Toulouse, CNRS, UPS, GET,IRD, F-31400 Toulouse, FranceUlsan Natl Inst Sci & Technol, Sch Urban & Environm Engn, UNIST Gil 50, Ulsan 44919, South Korea
Boithias, Laurie
Cho, Kyung Hwa
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机构:
Ulsan Natl Inst Sci & Technol, Sch Urban & Environm Engn, UNIST Gil 50, Ulsan 44919, South KoreaUlsan Natl Inst Sci & Technol, Sch Urban & Environm Engn, UNIST Gil 50, Ulsan 44919, South Korea
Cho, Kyung Hwa
Sengtaheuanghoung, Oloth
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机构:
Dep Agr Land Management DALaM, POB 4195, Xaythany Dist, Vientiane, LaosUlsan Natl Inst Sci & Technol, Sch Urban & Environm Engn, UNIST Gil 50, Ulsan 44919, South Korea
Sengtaheuanghoung, Oloth
Ribolzi, Olivier
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机构:
Univ Toulouse, CNRS, UPS, GET,IRD, F-31400 Toulouse, FranceUlsan Natl Inst Sci & Technol, Sch Urban & Environm Engn, UNIST Gil 50, Ulsan 44919, South Korea
机构:
College of Geosciences, Liaoning Normal University
Dalian Key Laboratory of Agro-Meteorological Disaster Risk Prevention and ControlCollege of Geosciences, Liaoning Normal University
LYU Leting
JIANG Ruifeng
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机构:
College of Geosciences, Liaoning Normal UniversityCollege of Geosciences, Liaoning Normal University
JIANG Ruifeng
ZHENG Defeng
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机构:
College of Geosciences, Liaoning Normal University
Dalian Key Laboratory of Agro-Meteorological Disaster Risk Prevention and ControlCollege of Geosciences, Liaoning Normal University
ZHENG Defeng
LIANG Liheng
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机构:
College of Geographic Sciences, Changchun NormalCollege of Geosciences, Liaoning Normal University
机构:
Liaoning Normal Univ, Coll Geosci, Dalian 116029, Peoples R China
Dalian Key Lab Agrometeorol Disaster Risk Prevent, Dalian 116029, Peoples R ChinaLiaoning Normal Univ, Coll Geosci, Dalian 116029, Peoples R China
Lyu, Leting
Jiang, Ruifeng
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机构:
Liaoning Normal Univ, Coll Geosci, Dalian 116029, Peoples R ChinaLiaoning Normal Univ, Coll Geosci, Dalian 116029, Peoples R China
Jiang, Ruifeng
Zheng, Defeng
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机构:
Liaoning Normal Univ, Coll Geosci, Dalian 116029, Peoples R China
Dalian Key Lab Agrometeorol Disaster Risk Prevent, Dalian 116029, Peoples R ChinaLiaoning Normal Univ, Coll Geosci, Dalian 116029, Peoples R China
Zheng, Defeng
Liang, Liheng
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机构:
Changchun Normal Univ, Coll Geog Sci, Changchun 130032, Peoples R ChinaLiaoning Normal Univ, Coll Geosci, Dalian 116029, Peoples R China
机构:
Wuhan Univ, State Key Lab Water Resources & Hydropower Engn, Wuhan 430072, Peoples R China
Hubei Water Resources Res Inst, Wuhan 430072, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn, Wuhan 430072, Peoples R China
Liu, Luguang
Cui, Yuanlai
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机构:
Wuhan Univ, State Key Lab Water Resources & Hydropower Engn, Wuhan 430072, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn, Wuhan 430072, Peoples R China
Cui, Yuanlai
Luo, Yufeng
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机构:
Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn, Wuhan 430072, Peoples R China