Estimating Spatially Explicit Irrigation Water Use Based on Remotely Sensed Evapotranspiration and Modeled Root Zone Soil Moisture

环境科学 蒸散量 灌溉调度 含水量 灌溉 土壤科学 水文学(农业) 土壤水分 水分 农学 气象学 生态学 地质学 生物 物理 岩土工程
作者
Caijin Zhang,Di Long
出处
期刊:Water Resources Research [Wiley]
卷期号:57 (12) 被引量:8
标识
DOI:10.1029/2021wr031382
摘要

Abstract Estimation of irrigation water use (IWU) is critical to assessing water use efficiency and optimizing water resource allocation. However, diversity in irrigation scheduling, irrigation system, and crop type has imposed restrictions on deriving the accurate spatial distribution of IWU. Existing approaches of deriving IWU may have large uncertainty, due mostly to methodological limitations, inadequate inputs, and the mismatch in spatiotemporal scale between IWU estimates and in situ counterparts. Remote sensing has the potential to provide valuable information on moisture transport, which could unravel water consumption by crops. First, we developed a robust relationship between root zone soil moisture (RZSM) and the ratio of actual evapotranspiration (ET a ) to reference ET from the land components of European ReAnalysis‐5 (ERA5L) without an irrigation module across the Contiguous United States (CONUS). Second, RZSM under irrigation was derived from the developed relationship and remotely sensed ET a from the operational Simplified Surface Energy Balance (SSEB op ) model during 2000–2020. Third, IWU over the two decades was derived based on increases in RZSM and ET a due to irrigation using remotely sensed and model‐based variables, along with our derived formulas considering groundwater recharge originating from irrigation. The IWU estimates were fairly reliable compared with reported IWU from the Farm and Ranch Irrigation Survey at the state‐level in four years, with the coefficient of determination ranging from 0.74 to 0.84, root mean square error ranging from 1.90 to 2.33 km 3 /yr, and bias ranging from −0.11 to 0.15 km 3 /yr. Integration of remotely sensed ET a with ERA5L output resulted in IWU estimates of much higher accuracy than published studies. The IWU estimates across the CONUS reflected an increasing trend (∼2.71 km 3 /yr 2 ) during 2000–2007 but a decreasing trend (∼0.90 km 3 /yr 2 ) during 2008–2020, due to efficient irrigation practices and increased precipitation.

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
李卓完成签到,获得积分10
1秒前
佳佳佳发布了新的文献求助20
1秒前
1秒前
科研通AI6.4应助应樱采纳,获得10
2秒前
wm发布了新的文献求助10
2秒前
机灵石头发布了新的文献求助10
2秒前
小何应助ricardo采纳,获得10
3秒前
3秒前
YYY发布了新的文献求助10
3秒前
cdercder应助红叶再开采纳,获得10
3秒前
dery完成签到 ,获得积分10
4秒前
默默杨发布了新的文献求助10
4秒前
JJ发布了新的文献求助10
4秒前
传奇3应助ccc采纳,获得10
4秒前
我是老大应助霍霍采纳,获得10
5秒前
陈琛琛完成签到,获得积分10
5秒前
5秒前
6秒前
6秒前
6秒前
LL发布了新的文献求助50
6秒前
Owen应助无情的麦片采纳,获得10
6秒前
7秒前
Yyang完成签到,获得积分10
7秒前
英勇善愁完成签到,获得积分10
7秒前
ljjun发布了新的文献求助10
7秒前
情怀应助赶月亮采纳,获得10
8秒前
123完成签到,获得积分10
8秒前
wind完成签到,获得积分10
9秒前
甜甜的白筠完成签到 ,获得积分10
9秒前
重要的黑裤关注了科研通微信公众号
9秒前
9秒前
熊先生完成签到 ,获得积分10
9秒前
勤恳的画笔完成签到,获得积分10
9秒前
天真歌曲应助sadsa采纳,获得10
9秒前
捕风完成签到,获得积分10
9秒前
显摆小狂人完成签到,获得积分10
10秒前
硬膜之下完成签到,获得积分10
10秒前
mensa发布了新的文献求助10
10秒前
ling发布了新的文献求助10
10秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Data book on fatigue strength of metallic materials 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 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7566428
求助须知:如何正确求助?哪些是违规求助? 9146617
关于积分的说明 19557748
捐赠科研通 7152855
什么是DOI,文献DOI怎么找? 3262653
关于科研通互助平台的介绍 2428883
邀请新用户注册赠送积分活动 2252574