Separating the Precipitation‐ and Non‐Precipitation‐ Driven Water Storage Trends in China

降水 高原(数学) 中国 环境科学 蓄水 水资源 气候变化 全球变暖 构造盆地 可持续发展 自然地理学 气候学 气象学 地质学 地理 海洋学 考古 数学 政治学 法学 生物 古生物学 生态学 数学分析 入口
作者
Yulong Zhong,Hongbing Bai,Wei Feng,Jing Lu,Vincent Humphrey
出处
期刊:Water Resources Research [Wiley]
卷期号:59 (3) 被引量:16
标识
DOI:10.1029/2022wr033261
摘要

Abstract Terrestrial water storage (TWS) is a critical component for sustainable societal development and ecosystem cycles. The Gravity Recovery and Climate Experiment satellites have tracked changes in global TWS under the combined effects of various factors with unprecedented accuracy since 2002. In this study, we separate the trends in TWS driven by precipitation and non‐precipitation factors for the Chinese mainland from 2003 to 2016 based on the statistical reconstruction method and linear regression and analyze the driving mechanisms combining with multi‐source data. The results show that: (a) during the study period, TWS shows different degrees of increase in most of the Yangtze River basin, the northern part of the Tibetan Plateau, and part of the Heilongjiang Province, while TWS shows a significant decrease in the Tien Shan Mountains, the southeastern part of the Tibetan Plateau, and the North China Plain; (b) precipitation is one of the dominant factors leading to the rise of TWS, and the construction of reservoirs and dams also contributes. In contrast, anthropogenic activities (agricultural irrigation, industrial water use, etc.) and accelerated glacial melting due to global warming are the dominant factors in the decline of water storage; (c) the contribution of long‐term precipitation change to water storage is significantly larger in the northern China region (north of the 800 mm isopleth). This study provides a feasible method for quantifying the contribution of precipitation and non‐precipitation factors to TWS, which is meaningful for understanding the impact of climate change and anthropogenic factors on water resources.
最长约 10秒,即可获得该文献文件

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
2秒前
一颗星完成签到,获得积分10
3秒前
量子星尘发布了新的文献求助10
3秒前
小张发布了新的文献求助10
3秒前
4秒前
完美世界应助IP41320采纳,获得10
5秒前
狛枝凪斗完成签到,获得积分10
5秒前
5秒前
5秒前
彭于晏应助雀斑采纳,获得10
6秒前
Zhang发布了新的文献求助10
6秒前
zoe666发布了新的文献求助50
6秒前
呀呀完成签到,获得积分20
8秒前
狛枝凪斗发布了新的文献求助10
8秒前
公主不爱说话完成签到,获得积分10
9秒前
缓慢的败完成签到,获得积分20
10秒前
天天快乐应助123采纳,获得10
10秒前
passion发布了新的文献求助30
11秒前
huma应助科研通管家采纳,获得10
11秒前
小蘑菇应助科研通管家采纳,获得10
11秒前
所所应助科研通管家采纳,获得10
11秒前
Czd发布了新的文献求助10
12秒前
bkagyin应助科研通管家采纳,获得10
12秒前
情怀应助科研通管家采纳,获得10
12秒前
小马甲应助科研通管家采纳,获得10
12秒前
12秒前
研友_VZG7GZ应助科研通管家采纳,获得10
12秒前
共享精神应助科研通管家采纳,获得10
12秒前
doctor2023完成签到,获得积分10
12秒前
MXene应助科研通管家采纳,获得20
12秒前
12秒前
赘婿应助科研通管家采纳,获得10
12秒前
科研通AI5应助科研通管家采纳,获得10
12秒前
华仔应助科研通管家采纳,获得10
12秒前
huma应助科研通管家采纳,获得10
13秒前
MXene应助科研通管家采纳,获得20
13秒前
13秒前
脑洞疼应助科研通管家采纳,获得10
13秒前
13秒前
13秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
An experimental and analytical investigation on the fatigue behaviour of fuselage riveted lap joints: The significance of the rivet squeeze force, and a comparison of 2024-T3 and Glare 3 1000
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
Statistical Methods for the Social Sciences, Global Edition, 6th edition 600
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
ALUMINUM STANDARDS AND DATA 500
Walter Gilbert: Selected Works 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3664331
求助须知:如何正确求助?哪些是违规求助? 3224444
关于积分的说明 9757422
捐赠科研通 2934339
什么是DOI,文献DOI怎么找? 1606816
邀请新用户注册赠送积分活动 758829
科研通“疑难数据库(出版商)”最低求助积分说明 735012