Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025575 |
Sensitivity Analysis of Fully Distributed Parameterization Reveals Insights Into Heterogeneous Catchment Responses for Water Quality Modeling | |
Yang, Xiaoqiang; Jomaa, Seifeddine; Rode, Michael | |
2019-12-19 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:12页码:10935-10953 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany |
英文摘要 | Spatially distributed parameterization is preferable in capturing the heterogeneity of catchment properties and in allowing a better model representation of catchment responses. In hydrological modeling, sensitivity analysis is recommended to address the high-dimensional parametric problems. However, less has been focused on water quality modeling, presumably due to the lack of suitable fully distributed models. Based on the newly developed mesoscale hydrological-nitrate model, we investigated for the first time the spatially distributed sensitivity of nitrate model parameters and correlated the sensitivity indices with multiple catchment characteristics. The study was conducted in the highly heterogeneous Selke catchment, central Germany. Three nested catchments were defined based on the heterogeneous catchment responses (gauged by three nested stations). Results showed that parameters of soil denitrification, in-stream denitrification, and in-stream assimilatory uptake were the most sensitive parameters throughout the catchment. They all showed high spatial variability, which also varied when different gauging stations were considered. Spearman rank correlation indicated that the sensitivity of soil denitrification was controlled mainly by the relative limitations between the terrestrial hydrological transport capacity and the soil nitrate availability; the sensitivity of in-stream processes was predominated by the spatial variability within the river network (e.g., the proximity to the gauging station), rather than the local biogeochemical factors. Based on the insights gained from the spatial sensitivity and correlation analyses, we suggested that an appropriate monitoring scheme is important in reflecting actual catchment responses, and a cautious statistical correlation is informative in benefiting future parameter regionalization of water quality models. |
英文关键词 | the mHM-Nitrate model fully distributed parameterization parameter sensitivity analysis controlling factors of parameter sensitivity Spearman rank correlation |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000503756000001 |
WOS关键词 | GLOBAL SENSITIVITY ; ENVIRONMENTAL-MODELS ; NITRATE REDUCTION ; DENITRIFICATION ; FRAMEWORK ; SCALE ; CONVERGENCE ; GROUNDWATER ; CHALLENGES ; STREAM |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/223990 |
专题 | 资源环境科学 |
作者单位 | UFZ Helmholtz Ctr Environm Res, Dept Aquat Ecosyst Anal & Management, Magdeburg, Germany |
推荐引用方式 GB/T 7714 | Yang, Xiaoqiang,Jomaa, Seifeddine,Rode, Michael. Sensitivity Analysis of Fully Distributed Parameterization Reveals Insights Into Heterogeneous Catchment Responses for Water Quality Modeling[J]. WATER RESOURCES RESEARCH,2019,55(12):10935-10953. |
APA | Yang, Xiaoqiang,Jomaa, Seifeddine,&Rode, Michael.(2019).Sensitivity Analysis of Fully Distributed Parameterization Reveals Insights Into Heterogeneous Catchment Responses for Water Quality Modeling.WATER RESOURCES RESEARCH,55(12),10935-10953. |
MLA | Yang, Xiaoqiang,et al."Sensitivity Analysis of Fully Distributed Parameterization Reveals Insights Into Heterogeneous Catchment Responses for Water Quality Modeling".WATER RESOURCES RESEARCH 55.12(2019):10935-10953. |
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