Abstract
The shortage of water resources is a common concern at present, a comprehensive model, therefore, is needed to analyze and predict the water resources carrying capacity in a region. The system dynamics model is established to systematically analyze the inner relationship between water demand and supply, and the BP neural network model is used for estimating and forecasting the regional water resources carrying capacity. A case study in Shan Dong indicates that the comprehensive model could play a rather good practical role and give a reference to water-policy decision maker.
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Chen, X. (2020). Estimating Regional Water Resources Carrying Capacity Based on Big Data Analysis of Demand and Supply. In: Li, X., Xu, X. (eds) Proceedings of the Sixth International Forum on Decision Sciences. Uncertainty and Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-13-8229-1_2
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DOI: https://doi.org/10.1007/978-981-13-8229-1_2
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