Human or climate? Differentiating the anthropogenic and climatic drivers of lake storage changes on spatial perspective via remote sensing data

高原(数学) 环境科学 降水 蓄水 气候变化 自然地理学 空间生态学 分水岭 水文学(农业) 气候学 地理 生态学 气象学 地质学 海洋学 数学分析 机器学习 岩土工程 入口 生物 计算机科学 数学
作者
Abdullah Akbaş
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:912: 168982-168982 被引量:4
标识
DOI:10.1016/j.scitotenv.2023.168982
摘要

Lakes are an essential part of the terrestrial water system in which storage changes are controlled by water balance and human impact. Although there are some attempts to define storage changes on a global scale, examination of spatial relations is poorly quantified. In this study, therefore, lake storage changes have been investigated using remote-sensing-derived data around the globe. Hence, 372 artificial/natural lakes were obtained, covering between 1992 and 2019. Watersheds belong to river was extracted via HydroSHED data. Based on watershed, dominant climate types were determined via Köppen-Geiger classification. Similarly, the areal average CRU TS v.4.05 monthly gridded precipitation time series and human footprint data based on watersheds were obtained to understand the drivers of lake storage changes. The nonparametric Mann-Kendall and Sen's slope trend analyses were applied to the lake storage change and precipiation values in order to determine long-term increases and decreases. A bivariate map was constructed between storage changes trend vs precipitation trend and human footprint to reveal the drivers of lake storage changes in terms of spatial aspects. The trend analysis and bivariate map results show that North America, the East African Highlands, and the Tibet plateau are important increasing hotspots, where precipitation is a significant driver for storage oscillations, except for the Tibet plateau. Besides, the Brazilian Highlands, Pacific Mountain System, and Intermontane of conterminous USA are other decreasing hotspots in which human footprint and decreasing precipitation collectively affect these changes. Furthermore, results clearly show that anthropogenic influence is low in the northern and mountainous areas, and storage changes have a linear relationship with precipitation. In contrast, intense human climate interaction influences lake changes in plains areas and arid/temperate climates.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
研友_VZG7GZ应助王伟娜采纳,获得30
1秒前
xin完成签到,获得积分10
1秒前
yara完成签到 ,获得积分10
2秒前
2秒前
头头完成签到,获得积分10
3秒前
小磊子发布了新的文献求助10
3秒前
脑洞疼应助carbonhan采纳,获得10
4秒前
天天快乐应助ghhhn采纳,获得10
4秒前
6秒前
8秒前
万能图书馆应助难过亦丝采纳,获得10
8秒前
hellzhu完成签到,获得积分10
9秒前
zz发布了新的文献求助10
10秒前
12秒前
李佳明发布了新的文献求助10
12秒前
14秒前
浮游应助科研通管家采纳,获得10
16秒前
英俊的铭应助科研通管家采纳,获得10
16秒前
xcgh应助科研通管家采纳,获得20
16秒前
浮游应助科研通管家采纳,获得10
16秒前
17秒前
消月明应助科研通管家采纳,获得10
17秒前
英姑应助科研通管家采纳,获得10
17秒前
斯文败类应助科研通管家采纳,获得30
17秒前
十三应助科研通管家采纳,获得10
17秒前
万能图书馆应助风格化橙采纳,获得10
17秒前
丘比特应助科研通管家采纳,获得50
17秒前
福昊斯完成签到 ,获得积分10
17秒前
斯文败类应助科研通管家采纳,获得10
17秒前
浮游应助科研通管家采纳,获得10
17秒前
CodeCraft应助科研通管家采纳,获得30
17秒前
香蕉觅云应助科研通管家采纳,获得10
18秒前
科研通AI6应助科研通管家采纳,获得10
18秒前
浮游应助科研通管家采纳,获得10
18秒前
Akim应助科研通管家采纳,获得10
18秒前
子车茗应助科研通管家采纳,获得20
18秒前
所所应助科研通管家采纳,获得10
18秒前
我是老大应助科研通管家采纳,获得10
18秒前
浮游应助科研通管家采纳,获得10
18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
Petrucci's General Chemistry: Principles and Modern Applications, 12th edition 600
FUNDAMENTAL STUDY OF ADAPTIVE CONTROL SYSTEMS 500
微纳米加工技术及其应用 500
Nanoelectronics and Information Technology: Advanced Electronic Materials and Novel Devices 500
Performance optimization of advanced vapor compression systems working with low-GWP refrigerants using numerical and experimental methods 500
Constitutional and Administrative Law 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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5299457
求助须知:如何正确求助?哪些是违规求助? 4447594
关于积分的说明 13843316
捐赠科研通 4333203
什么是DOI,文献DOI怎么找? 2378632
邀请新用户注册赠送积分活动 1373923
关于科研通互助平台的介绍 1339452