Predicting agroecosystem responses to identify appropriate water-saving management in arid irrigated regions with shallow groundwater: Realization on a regional scale
被引:12
作者:
Xiong, Lvyang
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China Agr Univ, Chinese Israeli Int Ctr Res & Training Agr, Beijing 100083, Peoples R China
China Agr Univ, Coll Water Resources & Civil Engn, Ctr Agr Water Res, Beijing 100083, Peoples R ChinaChina Agr Univ, Chinese Israeli Int Ctr Res & Training Agr, Beijing 100083, Peoples R China
Xiong, Lvyang
[1
,2
]
Xu, Xu
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China Agr Univ, Chinese Israeli Int Ctr Res & Training Agr, Beijing 100083, Peoples R China
China Agr Univ, Coll Water Resources & Civil Engn, Ctr Agr Water Res, Beijing 100083, Peoples R ChinaChina Agr Univ, Chinese Israeli Int Ctr Res & Training Agr, Beijing 100083, Peoples R China
Xu, Xu
[1
,2
]
Engel, Bernard
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机构:
Purdue Univ, Agr & Biol Engn, 225 South Univ St, W Lafayette, IN 47907 USAChina Agr Univ, Chinese Israeli Int Ctr Res & Training Agr, Beijing 100083, Peoples R China
Engel, Bernard
[3
]
Xiong, Yunwu
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China Agr Univ, Chinese Israeli Int Ctr Res & Training Agr, Beijing 100083, Peoples R China
China Agr Univ, Coll Water Resources & Civil Engn, Ctr Agr Water Res, Beijing 100083, Peoples R ChinaChina Agr Univ, Chinese Israeli Int Ctr Res & Training Agr, Beijing 100083, Peoples R China
Xiong, Yunwu
[1
,2
]
Huang, Quanzhong
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机构:
China Agr Univ, Chinese Israeli Int Ctr Res & Training Agr, Beijing 100083, Peoples R China
China Agr Univ, Coll Water Resources & Civil Engn, Ctr Agr Water Res, Beijing 100083, Peoples R ChinaChina Agr Univ, Chinese Israeli Int Ctr Res & Training Agr, Beijing 100083, Peoples R China
Huang, Quanzhong
[1
,2
]
Huang, Guanhua
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China Agr Univ, Chinese Israeli Int Ctr Res & Training Agr, Beijing 100083, Peoples R China
China Agr Univ, Coll Water Resources & Civil Engn, Ctr Agr Water Res, Beijing 100083, Peoples R ChinaChina Agr Univ, Chinese Israeli Int Ctr Res & Training Agr, Beijing 100083, Peoples R China
Huang, Guanhua
[1
,2
]
机构:
[1] China Agr Univ, Chinese Israeli Int Ctr Res & Training Agr, Beijing 100083, Peoples R China
[2] China Agr Univ, Coll Water Resources & Civil Engn, Ctr Agr Water Res, Beijing 100083, Peoples R China
[3] Purdue Univ, Agr & Biol Engn, 225 South Univ St, W Lafayette, IN 47907 USA
Scenario analysis is the basis of developing rational water management practices (WMPs) for watersheds. How to predict future hydrological responses on a regional-scale is still a challenge for modeling work in irrigated watersheds with shallow groundwater environments. Therefore, this paper presents an efficient realization of predicting regional agroecosystem responses and searching for appropriate WMPs, through using a water balance-based, semi-distributed hydrological model (SWAT-AG). The scenario case study is carried out in the Jiyuan Irrigation System located in the Hetao of upper Yellow River basin, based on the calibrated and validated modeling work in our previous companion paper. Eight scenarios of water-saving practices (WSPs) are proposed, with consideration for reducing irrigation depth and controlling initial groundwater depth. Then the coupled responses of agroecosystem processes to various WSPs are predicted for the case study region in 2012 and 2013, mainly related to the groundwater depth, root zone soil water and salinity, and crop yield/natural vegetation biomass. Based on the analysis for proposed scenarios, the 100% of present irrigation depth combined with increasing initial GWD by 50 cm are recommended as appropriate WSPs for dry years, and the 80% of present irrigation depth combined with increasing initial GWD by 100 cm are recommended for wet years, in order to maintain good environmental conditions for both crops and natural vegetation. In addition, results show that SWAT-AG could overcome the scale/function limitations of traditional soil/crop models and also avoid computational issues of numerical models. We further point out that the scenarios in reality will be more complicated and comprehensive in time and space, and thus the predictions should be updated accordingly. Overall, this case study fully presents the feasibility and practicality of using the SWAT-AG model to realize the scenario response analysis and water management decision-making on a region scale for irrigated watersheds with shallow groundwater environments.
机构:
China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Natl Ctr Efficient Irrigat Engn & Technol Res Bei, Beijing 100048, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Bai, Liangliang
Cai, Jiabing
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China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Natl Ctr Efficient Irrigat Engn & Technol Res Bei, Beijing 100048, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Cai, Jiabing
Liu, Yu
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机构:
China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Natl Ctr Efficient Irrigat Engn & Technol Res Bei, Beijing 100048, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Liu, Yu
Chen, He
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机构:
China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Natl Ctr Efficient Irrigat Engn & Technol Res Bei, Beijing 100048, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Chen, He
Zhang, Baozhong
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机构:
China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Natl Ctr Efficient Irrigat Engn & Technol Res Bei, Beijing 100048, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Zhang, Baozhong
Huang, Lingxu
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机构:
China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Natl Ctr Efficient Irrigat Engn & Technol Res Bei, Beijing 100048, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
机构:
China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Natl Ctr Efficient Irrigat Engn & Technol Res Bei, Beijing 100048, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Bai, Liangliang
Cai, Jiabing
论文数: 0引用数: 0
h-index: 0
机构:
China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Natl Ctr Efficient Irrigat Engn & Technol Res Bei, Beijing 100048, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Cai, Jiabing
Liu, Yu
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机构:
China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Natl Ctr Efficient Irrigat Engn & Technol Res Bei, Beijing 100048, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Liu, Yu
Chen, He
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机构:
China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Natl Ctr Efficient Irrigat Engn & Technol Res Bei, Beijing 100048, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Chen, He
Zhang, Baozhong
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机构:
China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Natl Ctr Efficient Irrigat Engn & Technol Res Bei, Beijing 100048, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Zhang, Baozhong
Huang, Lingxu
论文数: 0引用数: 0
h-index: 0
机构:
China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Natl Ctr Efficient Irrigat Engn & Technol Res Bei, Beijing 100048, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China