Arid
DOI10.3390/rs15030571
A Numerical Assessment and Prediction for Meeting the Demand for Agricultural Water and Sustainable Development in Irrigation Area
Zhang, Qiying; Qian, Hui; Xu, Panpan; Liu, Rui; Ke, Xianmin; Furman, Alex; Shang, Jiatao
通讯作者Qian, H
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2023
卷号15期号:3
英文摘要The demand for agricultural water is a growing problem in irrigated regions across the globe, particularly in arid and semi-arid regions. Changes in the level of groundwater in irrigation districts will affect the flow of surface water connected to the aquifer, which may damage the sustainability of water resources and ecosystems. In this study, a two-dimensional unsteady flow model based on MODFLOW was constructed and three scenarios were established to assess the demand for agricultural water in the Jiaokou Irrigation District. The results show that the groundwater in the study area is basically balanced. However, the supply of irrigation water for summer irrigation is insufficient. The results of the model prediction indicate that when groundwater is primarily used for irrigation (scenario 1), the maximum water level decrease is 25 m, which is beyond this limit (15 m). When the ratio of groundwater to surface water is 2:1 for irrigation (scenario 2), the largest decrease in water level is approximately 10 m. Scenario 3 is proposed based on the Hanjiang-to-Weihe River Valley Water Diversion Project to prevent the salinization of soil owing to the rise in water level, and its result shows that the maximum decrease and buried depth are approximately 5 m and above 3 m, respectively, indicating that the scenario is more reasonable and sustainable. These findings provide theoretical guidance to protect water resources and prevent water pollution and should serve as a reference for rationally allocating water resources in other irrigation districts in arid and semi-arid areas.
英文关键词numerical assessment agricultural water demand groundwater level MODFLOW irrigation areas
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000930722600001
WOS关键词LAND SUBSIDENCE ; GROUNDWATER ; SOIL ; SIMULATION ; MODFLOW ; HAZARD ; VALLEY ; MODEL ; XIAN
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/398228
推荐引用方式
GB/T 7714
Zhang, Qiying,Qian, Hui,Xu, Panpan,et al. A Numerical Assessment and Prediction for Meeting the Demand for Agricultural Water and Sustainable Development in Irrigation Area[J],2023,15(3).
APA Zhang, Qiying.,Qian, Hui.,Xu, Panpan.,Liu, Rui.,Ke, Xianmin.,...&Shang, Jiatao.(2023).A Numerical Assessment and Prediction for Meeting the Demand for Agricultural Water and Sustainable Development in Irrigation Area.REMOTE SENSING,15(3).
MLA Zhang, Qiying,et al."A Numerical Assessment and Prediction for Meeting the Demand for Agricultural Water and Sustainable Development in Irrigation Area".REMOTE SENSING 15.3(2023).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhang, Qiying]的文章
[Qian, Hui]的文章
[Xu, Panpan]的文章
百度学术
百度学术中相似的文章
[Zhang, Qiying]的文章
[Qian, Hui]的文章
[Xu, Panpan]的文章
必应学术
必应学术中相似的文章
[Zhang, Qiying]的文章
[Qian, Hui]的文章
[Xu, Panpan]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。