气候变化领域集成服务门户(CCPortal): Understanding the role of the spatial-temporal variability of catchment water storage capacity and its runoff response using deep learning networks

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DOI	10.1088/1748-9326/ad404b
	Understanding the role of the spatial-temporal variability of catchment water storage capacity and its runoff response using deep learning networks
	Xie, Kang; Cheng, Qian; Zhang, Jianyun; Liu, Pan; Wang, Guoqing
发表日期	2024
ISSN	1748-9326
起始页码	19
结束页码	6
卷号	19 期号:6
英文摘要	The land surface of a watershed acts as a large reservoir, with its catchment water storage capacity (CWSC) influencing rainfall-runoff relationship. Estimating CWSC at global grid scale is challenging due to calibration complexity, limited spatial continuity, and data scarcity. To address this, a deep learning-based approach incorporates spatial reconstruction and temporal transfer for capturing spatio-temporal variations in watershed characteristics. The study focuses on the Global Runoff Data Centre dataset and presents a grid-based hydrological model. Findings demonstrate accurate identification of CWSC distribution, with the model achieving an R 2 of 0.92 and the runoff Kling-Gupta efficiency of 0.71 during validation. According to the CMIP6 projections, the global CWSC is anticipated to undergo a significant increase at a rate of 1.7 mm per decade under the SSP5-8.5 emission scenario. Neglecting spatio-temporal CWSC variability globally overestimates climate change's impact on runoff, potentially reducing the projected long-term increase by up to 41%.
英文关键词	hydrological model; runoff response; catchment water storage capacity; time-varying parameters
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:001230499700001
来源期刊	ENVIRONMENTAL RESEARCH LETTERS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/293763
作者单位	Nanjing Hydraulic Research Institute; Hohai University; Wuhan University
推荐引用方式 GB/T 7714	Xie, Kang,Cheng, Qian,Zhang, Jianyun,et al. Understanding the role of the spatial-temporal variability of catchment water storage capacity and its runoff response using deep learning networks[J],2024,19(6).
APA	Xie, Kang,Cheng, Qian,Zhang, Jianyun,Liu, Pan,&Wang, Guoqing.(2024).Understanding the role of the spatial-temporal variability of catchment water storage capacity and its runoff response using deep learning networks.ENVIRONMENTAL RESEARCH LETTERS,19(6).
MLA	Xie, Kang,et al."Understanding the role of the spatial-temporal variability of catchment water storage capacity and its runoff response using deep learning networks".ENVIRONMENTAL RESEARCH LETTERS 19.6(2024).