Agricultural water optimization coupling with a distributed ecohydrological model in a mountain-plain basin | |
Huang, Farong1,2,4; Mo, Xingguo3,4; Hu, Shi4; Li, Lanhai1,2 | |
刊名 | JOURNAL OF HYDROLOGY |
2020-11-01 | |
卷号 | 590页码:19 |
关键词 | Agricultural water optimization VIP model Natural runoff Crop photosynthetic capacity Crop water production function |
ISSN号 | 0022-1694 |
DOI | 10.1016/j.jhydrol.2020.125336 |
通讯作者 | Mo, Xingguo(moxg@igsnrr.ac.cn) |
英文摘要 | Agricultural water optimization at the basin scale is critical for sustainable irrigated agriculture and water resources management. Crop Water Production Function (CWPF) and surface water are key components of agricultural water optimization. CWPF relates closely to crop yield/growth-related parameters, and surface water of sub-basins is often different and impacted by water withdrawals. However, CWPF accounting for the crop yield-related parameter and natural runoff of sub-basins were scarcely involved in agricultural water optimization at the basin scale. To fill this gap, CWPFs of different water units are estimated using a distributed ecohydrological model involving the spatial heterogeneity of crop photosynthetic capacity parameter, and the natural runoff of sub-basins is reproduced by this model. Integrating these functions and variables, and taking the agricultural benefit of the whole basin as the main objective, an agricultural water optimization model at the basin scale (AWOMB) is developed and applied to a mountain-plain basin in North China. The results showed that agricultural water optimization in a representative year would lead to 0.4% increase of crop production for the whole basin at the expense of certain urban ecological water and equity of agricultural water. In this scenario, the river ecological water requirements in all sub-basins would be satisfied. Assuming the domestic, industrial and river ecological water demand being fully satisfied in 2020s, water deficits will be 8% and 26% for the whole basin under the normal and dry year scenarios, respectively. Correspondingly, increments of 2% and 7% crop production are predicted in these two scenarios by agricultural water optimization. It is demonstrated that water resources utilization and agricultural production are effectively improved by coupling a distributed ecohydrological model with water resources optimization in the study basin. This research provides a methodology for integrative catchment water resources management. |
资助项目 | National Natural Science Foundation of China[41471026] ; National Natural Science Foundation of China[41790424] |
WOS关键词 | HAIHE RIVER-BASIN ; IRRIGATION WATER ; USE EFFICIENCY ; STOCHASTIC OPTIMIZATION ; RESOURCES ALLOCATION ; PROGRAMMING APPROACH ; DRIVING FACTORS ; MAIZE YIELD ; TARIM RIVER ; CROP YIELD |
WOS研究方向 | Engineering ; Geology ; Water Resources |
语种 | 英语 |
出版者 | ELSEVIER |
WOS记录号 | WOS:000599754500082 |
资助机构 | National Natural Science Foundation of China |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/137619] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Mo, Xingguo |
作者单位 | 1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China 2.Chinese Acad Sci, Ili Stn Watershed Ecosyst Res, Xinyuan 835800, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Sino Danish Ctr, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Huang, Farong,Mo, Xingguo,Hu, Shi,et al. Agricultural water optimization coupling with a distributed ecohydrological model in a mountain-plain basin[J]. JOURNAL OF HYDROLOGY,2020,590:19. |
APA | Huang, Farong,Mo, Xingguo,Hu, Shi,&Li, Lanhai.(2020).Agricultural water optimization coupling with a distributed ecohydrological model in a mountain-plain basin.JOURNAL OF HYDROLOGY,590,19. |
MLA | Huang, Farong,et al."Agricultural water optimization coupling with a distributed ecohydrological model in a mountain-plain basin".JOURNAL OF HYDROLOGY 590(2020):19. |
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