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DOI | 10.1016/j.watres.2024.121175 |
Probabilistic monitoring of meteorological drought impacts on water quality of major rivers in South Korea using copula models | |
发表日期 | 2024 |
ISSN | 0043-1354 |
EISSN | 1879-2448 |
起始页码 | 251 |
卷号 | 251 |
英文摘要 | The impacts of drought range from water supply for humans to ecosystems. Drought affects river water quality by disturbing the hydrological regime in a variety of ways, and can degrade water quality by reducing surface and groundwater availability. In particular, drought-induced low flows, reduced nutrient dilution, and extreme increases in water temperature affect various water quality parameters in streams. Furthermore, the effects of drought on stream water quality may vary from season to season and from stream segment to stream segment, which requires careful investigation. In this study, Environmental Drought Condition Index - water quality (EDCI-wq) is proposed using a bivariate copula joint probability model between meteorological drought index and river water quality. Using this, environmental drought with respect to water quality is defined, and it is confirmed that environmental drought with respect to water quality can be routinely monitored through time series analysis and mapping of the proposed EDCI-wq. In addition, in order to express the environmental drought condition more explicitly to the general public, the environmental drought condition is graded into four classes based on the EDCI-wq. Furthermore, the sensitivity of river water quality to meteorological drought was estimated using the copula joint probability model, which allowed us to identify river segments that are relatively more sensitive to meteorological drought events. |
英文关键词 | Copula; Drought monitoring; Environmental drought; Water quality |
语种 | 英语 |
WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Water Resources |
WOS类目 | Engineering, Environmental ; Environmental Sciences ; Water Resources |
WOS记录号 | WOS:001171188900001 |
来源期刊 | WATER RESEARCH |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/297605 |
作者单位 | Pukyong National University; Korea Water Resources Corporation |
推荐引用方式 GB/T 7714 | . Probabilistic monitoring of meteorological drought impacts on water quality of major rivers in South Korea using copula models[J],2024,251. |
APA | (2024).Probabilistic monitoring of meteorological drought impacts on water quality of major rivers in South Korea using copula models.WATER RESEARCH,251. |
MLA | "Probabilistic monitoring of meteorological drought impacts on water quality of major rivers in South Korea using copula models".WATER RESEARCH 251(2024). |
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