The Mechanism of the Influence of Different Irrigation Methods on Groundwater Recharge

地下水补给 灌溉 渗透(HVAC) 水文学(农业) 环境科学 地下水 抑郁集中补给 地面灌溉 包气带 地下水位 土壤水分 土壤科学 地质学 含水层 地理 岩土工程 农学 气象学 生物
作者
Hongyuan Li,Guizhang Zhao,Simin Xie,Lingying Kong,Hongliang Li,Hepeng Zhang
出处
期刊:Water [Multidisciplinary Digital Publishing Institute]
卷期号:16 (11): 1565-1565
标识
DOI:10.3390/w16111565
摘要

In the Yinchuan Plain, the main source of water supply for agricultural crops is irrigation infiltration. Therefore, the irrigation process, method, and time are crucial for the rational planning and utilization of water resources in the region. In this study, the effects of different irrigation methods on groundwater recharge were investigated through irrigation quadrat tests combined with numerical simulations. The water content at depths of 10–50 cm had a more significant response to irrigation than that at 80 and 100 cm in the intelligent irrigation quadrat. The water content change at depths of 10–50 cm was smaller than that at 80 and 100 cm in the flood irrigation quadrat. The flood irrigation method had a greater impact on the water content in the deep vadose zone. The water content of intelligent irrigation was concentrated at depths of 30–50 cm, with weak groundwater recharge. The water content of the flood irrigation quadrat was concentrated at depths of 50–80 cm, with a significant impact in the vertical direction. The simulation results indicated that flood irrigation had the best effect on groundwater recharge, with an infiltration recharge coefficient of 0.73, compared to intelligent irrigation, which had an infiltration recharge coefficient of 0.41. When the groundwater depth range was 0.65–3.8 m, the infiltration recharge efficiencies of intelligent and flood irrigation were the highest at groundwater depths of 1.3 and 1.8 m. Our findings provide a scientific basis for methods of rational irrigation, which could help save water resources in the study area.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
99关注了科研通微信公众号
刚刚
刚刚
1秒前
Yi完成签到,获得积分10
1秒前
1秒前
老的火龙果应助Ryin采纳,获得10
2秒前
共享精神应助Ryin采纳,获得10
2秒前
3秒前
上官若男应助KJ采纳,获得10
3秒前
4秒前
香蕉觅云应助顺心凌波采纳,获得10
4秒前
wyy发布了新的文献求助10
4秒前
4秒前
liben完成签到,获得积分10
4秒前
科研通AI6.4应助李杰杰采纳,获得30
4秒前
北山看雪完成签到,获得积分10
5秒前
我爱科研发布了新的文献求助10
5秒前
lobster发布了新的文献求助10
5秒前
小马甲应助xiaolizi采纳,获得10
5秒前
张雯思发布了新的文献求助10
6秒前
胡晒完成签到,获得积分10
6秒前
lemonkim发布了新的文献求助10
7秒前
7秒前
8秒前
8秒前
Juvenilesy应助wxy采纳,获得10
8秒前
poab完成签到,获得积分10
8秒前
9秒前
呆萌的金针菇完成签到 ,获得积分10
10秒前
10秒前
lobster发布了新的文献求助10
10秒前
来了来了发布了新的文献求助10
11秒前
1234发布了新的文献求助10
11秒前
一二发布了新的文献求助10
11秒前
12秒前
12秒前
13秒前
13秒前
13秒前
一名发布了新的文献求助10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Physiologic specialization in Peronospora manshurica 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7777040
求助须知:如何正确求助?哪些是违规求助? 9318227
关于积分的说明 20362977
捐赠科研通 7364139
什么是DOI,文献DOI怎么找? 3318830
关于科研通互助平台的介绍 2466494
邀请新用户注册赠送积分活动 2334013