Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR027186 |
Transit time distributions estimation exploiting flow‐weighted time: Theory and proof‐of‐concept | |
Minseok Kim; Peter A. Troch | |
2020-10-22 | |
发表期刊 | Water Resources Research |
出版年 | 2020 |
英文摘要 | Time‐variable transit time distributions (TTDs) have been utilized as a tool to understand how catchments transmit water. However, most of the existing TTD estimation methods require to impose certain structures on those TTDs a priori, which could lead to misinterpreting data. We present a data‐based method to estimate time‐variable TTDs without imposing their structure a priori. The core of the method is the use of a revised flow‐weighted time, where TTDs do not reflect variable external forcings directly. The functional forms of the TTDs are much simpler in flow‐weighted time, compared to those in calendar time, and this allows for easier estimation of TTDs. Dynamic (state‐dependent) multiple linear regression methods were applied to estimate the time‐variable TTDs in flow‐weighted time, which can eventually be transformed back to calendar time. The method performs well in a proof‐of‐concept demonstration with synthetic datasets. We also discuss potential generalizations of the proposed method. |
领域 | 资源环境 |
URL | 查看原文 |
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文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/300221 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Minseok Kim,Peter A. Troch. Transit time distributions estimation exploiting flow‐weighted time: Theory and proof‐of‐concept[J]. Water Resources Research,2020. |
APA | Minseok Kim,&Peter A. Troch.(2020).Transit time distributions estimation exploiting flow‐weighted time: Theory and proof‐of‐concept.Water Resources Research. |
MLA | Minseok Kim,et al."Transit time distributions estimation exploiting flow‐weighted time: Theory and proof‐of‐concept".Water Resources Research (2020). |
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