Uncertainty and its propagation estimation for an integrated water system model: An experiment from water quantity to quality simulations

2018 ◽  
Vol 565 ◽  
pp. 623-635 ◽  
Author(s):  
Yongyong Zhang ◽  
Quanxi Shao
Keyword(s):  
Water System ◽  
System Model ◽  
Water Quantity

scholarly journals A coupled modeling framework for sustainable watershed management in transboundary river basins

2017 ◽  
Vol 21 (12) ◽  
pp. 6275-6288 ◽  
Author(s):  
Hassaan Furqan Khan ◽  
Y. C. Ethan Yang ◽  
Hua Xie ◽  
Claudia Ringler
Keyword(s):  
River Basin ◽  
Watershed Management ◽  
Water Resource ◽  
Ecosystem Health ◽  
Water System ◽  
River Basins ◽  
System Model ◽  
Transboundary River ◽  
Transboundary River Basins ◽  
Water Uses

Abstract. There is a growing recognition among water resource managers that sustainable watershed management needs to not only account for the diverse ways humans benefit from the environment, but also incorporate the impact of human actions on the natural system. Coupled natural–human system modeling through explicit modeling of both natural and human behavior can help reveal the reciprocal interactions and co-evolution of the natural and human systems. This study develops a spatially scalable, generalized agent-based modeling (ABM) framework consisting of a process-based semi-distributed hydrologic model (SWAT) and a decentralized water system model to simulate the impacts of water resource management decisions that affect the food–water–energy–environment (FWEE) nexus at a watershed scale. Agents within a river basin are geographically delineated based on both political and watershed boundaries and represent key stakeholders of ecosystem services. Agents decide about the priority across three primary water uses: food production, hydropower generation and ecosystem health within their geographical domains. Agents interact with the environment (streamflow) through the SWAT model and interact with other agents through a parameter representing willingness to cooperate. The innovative two-way coupling between the water system model and SWAT enables this framework to fully explore the feedback of human decisions on the environmental dynamics and vice versa. To support non-technical stakeholder interactions, a web-based user interface has been developed that allows for role-play and participatory modeling. The generalized ABM framework is also tested in two key transboundary river basins, the Mekong River basin in Southeast Asia and the Niger River basin in West Africa, where water uses for ecosystem health compete with growing human demands on food and energy resources. We present modeling results for crop production, energy generation and violation of eco-hydrological indicators at both the agent and basin-wide levels to shed light on holistic FWEE management policies in these two basins.

scholarly journals An integrated water system model considering hydrological and biogeochemical processes at basin scale: model construction and application

2014 ◽  
Vol 11 (8) ◽  
pp. 9219-9279 ◽  
Author(s):  
Y. Y. Zhang ◽  
Q. X. Shao ◽  
A. Z. Ye ◽  
H. T. Xing
Keyword(s):  
Correlation Coefficient ◽  
River Basin ◽  
System Modeling ◽  
Water System ◽  
River Basin Management ◽  
System Model ◽  
Superior Performance ◽  
Basin Management ◽  
The World ◽  
Integrated River Basin Management

Abstract. Integrated water system modeling is a reasonable approach to provide scientific understanding and possible solutions to tackle the severe water crisis faced over the world and to promote the implementation of integrated river basin management. Such a modeling practice becomes more feasible nowadays due to better computing facilities and available data sources. In this study, the process-oriented water system model (HEXM) is developed by integrating multiple water related processes including hydrology, biogeochemistry, environment and ecology, as well as the interference of human activities. The model was tested in the Shaying River Catchment, the largest, highly regulated and heavily polluted tributary of Huai River Basin in China. The results show that: HEXM is well integrated with good performance on the key water related components in the complex catchments. The simulated daily runoff series at all the regulated and less-regulated stations matches observations, especially for the high and low flow events. The average values of correlation coefficient and coefficient of efficiency are 0.81 and 0.63, respectively. The dynamics of observed daily ammonia-nitrogen (NH4N) concentration, as an important index to assess water environmental quality in China, are well captured with average correlation coefficient of 0.66. Furthermore, the spatial patterns of nonpoint source pollutant load and grain yield are also simulated properly, and the outputs have good agreements with the statistics at city scale. Our model shows clear superior performance in both calibration and validation in comparison with the widely used SWAT model. This model is expected to give a strong reference for water system modeling in complex basins, and provide the scientific foundation for the implementation of integrated river basin management all over the world as well as the technical guide for the reasonable regulation of dams and sluices and environmental improvement in river basins.

scholarly journals Integrated water system simulation by considering hydrological and biogeochemical processes: model development, with parameter sensitivity and autocalibration

2016 ◽  
Vol 20 (1) ◽  
pp. 529-553 ◽  
Author(s):  
Y. Y. Zhang ◽  
Q. X. Shao ◽  
A. Z. Ye ◽  
H. T. Xing ◽  
J. Xia
Keyword(s):  
Water Quality ◽  
Correlation Coefficient ◽  
River Basin ◽  
Water System ◽  
Parameter Analysis ◽  
System Model ◽  
Corn Yield ◽  
Average Correlation ◽  
Runoff Water ◽  
Huai River

Abstract. 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 (NH4–N) concentration was also well captured with the average correlation coefficient of 0.67. Furthermore, the diffuse source load of NH4–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.

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