Integrated water system simulation by considering hydrological and biogeochemical processes: model development, with parameter sensitivity and autocalibration
Integrated water system modeling is a feasible approach to understanding severe water crises in the world and promoting the implementation of integrated river basin management. In this study, a classic hydrological model (the time variant gain model: TVGM) was extended to an integrated water system...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-02-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | http://www.hydrol-earth-syst-sci.net/20/529/2016/hess-20-529-2016.pdf |
| _version_ | 1818530434592538624 |
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| author | Y. Y. Zhang Q. X. Shao A. Z. Ye H. T. Xing J. Xia |
| author_facet | Y. Y. Zhang Q. X. Shao A. Z. Ye H. T. Xing J. Xia |
| author_sort | Y. Y. Zhang |
| collection | DOAJ |
| description | Integrated water system modeling is a feasible approach to understanding
severe water crises in the world and promoting the implementation of
integrated river basin management. In this study, a classic hydrological
model (the time variant gain model: TVGM) was extended to an integrated water
system model by coupling multiple water-related processes in hydrology,
biogeochemistry, water quality, and ecology, and considering the interference
of human activities. A parameter analysis tool, which included sensitivity
analysis, autocalibration and model performance evaluation, was developed to
improve modeling efficiency. To demonstrate the model performances, the
Shaying River catchment, which is the largest highly regulated and heavily
polluted tributary of the Huai River basin in China, was selected as the case
study area. The model performances were evaluated on the key water-related
components including runoff, water quality, diffuse pollution load (or
nonpoint sources) and crop yield. Results showed that our proposed model
simulated most components reasonably well. The simulated daily runoff at most
regulated and less-regulated stations matched well with the observations. The
average correlation coefficient and Nash–Sutcliffe efficiency were 0.85 and
0.70, respectively. Both the simulated low and high flows at most stations
were improved when the dam regulation was considered. The daily
ammonium–nitrogen (NH<sub>4</sub>–N) concentration was also well captured with
the average correlation coefficient of 0.67. Furthermore, the diffuse source
load of NH<sub>4</sub>–N and the corn yield were reasonably simulated at the
administrative region scale. This integrated water system model is expected
to improve the simulation performances with extension to more model
functionalities, and to provide a scientific basis for the implementation in
integrated river basin managements. |
| first_indexed | 2024-12-11T17:19:38Z |
| format | Article |
| id | doaj.art-fdd3b1391dbe4bc999896db6ecec40bb |
| institution | Directory Open Access Journal |
| issn | 1027-5606 1607-7938 |
| language | English |
| last_indexed | 2024-12-11T17:19:38Z |
| publishDate | 2016-02-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Hydrology and Earth System Sciences |
| spelling | doaj.art-fdd3b1391dbe4bc999896db6ecec40bb2022-12-22T00:57:12ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382016-02-0120152955310.5194/hess-20-529-2016Integrated water system simulation by considering hydrological and biogeochemical processes: model development, with parameter sensitivity and autocalibrationY. Y. Zhang0Q. X. Shao1A. Z. Ye2H. T. Xing3J. Xia4Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, ChinaCSIRO Digital Productivity Flagship, Leeuwin Centre, 65 Brockway Road, Floreat Park, WA 6014, AustraliaCollege of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, ChinaCSIRO Agriculture Flagship, GPO BOX 1666, Canberra, ACT 2601, AustraliaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, ChinaIntegrated water system modeling is a feasible approach to understanding severe water crises in the world and promoting the implementation of integrated river basin management. In this study, a classic hydrological model (the time variant gain model: TVGM) was extended to an integrated water system model by coupling multiple water-related processes in hydrology, biogeochemistry, water quality, and ecology, and considering the interference of human activities. A parameter analysis tool, which included sensitivity analysis, autocalibration and model performance evaluation, was developed to improve modeling efficiency. To demonstrate the model performances, the Shaying River catchment, which is the largest highly regulated and heavily polluted tributary of the Huai River basin in China, was selected as the case study area. The model performances were evaluated on the key water-related components including runoff, water quality, diffuse pollution load (or nonpoint sources) and crop yield. Results showed that our proposed model simulated most components reasonably well. The simulated daily runoff at most regulated and less-regulated stations matched well with the observations. The average correlation coefficient and Nash–Sutcliffe efficiency were 0.85 and 0.70, respectively. Both the simulated low and high flows at most stations were improved when the dam regulation was considered. The daily ammonium–nitrogen (NH<sub>4</sub>–N) concentration was also well captured with the average correlation coefficient of 0.67. Furthermore, the diffuse source load of NH<sub>4</sub>–N and the corn yield were reasonably simulated at the administrative region scale. This integrated water system model is expected to improve the simulation performances with extension to more model functionalities, and to provide a scientific basis for the implementation in integrated river basin managements.http://www.hydrol-earth-syst-sci.net/20/529/2016/hess-20-529-2016.pdf |
| spellingShingle | Y. Y. Zhang Q. X. Shao A. Z. Ye H. T. Xing J. Xia Integrated water system simulation by considering hydrological and biogeochemical processes: model development, with parameter sensitivity and autocalibration Hydrology and Earth System Sciences |
| title | Integrated water system simulation by considering hydrological and biogeochemical processes: model development, with parameter sensitivity and autocalibration |
| title_full | Integrated water system simulation by considering hydrological and biogeochemical processes: model development, with parameter sensitivity and autocalibration |
| title_fullStr | Integrated water system simulation by considering hydrological and biogeochemical processes: model development, with parameter sensitivity and autocalibration |
| title_full_unstemmed | Integrated water system simulation by considering hydrological and biogeochemical processes: model development, with parameter sensitivity and autocalibration |
| title_short | Integrated water system simulation by considering hydrological and biogeochemical processes: model development, with parameter sensitivity and autocalibration |
| title_sort | integrated water system simulation by considering hydrological and biogeochemical processes model development with parameter sensitivity and autocalibration |
| url | http://www.hydrol-earth-syst-sci.net/20/529/2016/hess-20-529-2016.pdf |
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