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Modeling water quality to determine a safe distance between cities: a case study in China
Author(s) -
Ning Jia,
Xin Dong,
Yi Liu
Publication year - 2020
Publication title -
journal of water supply research and technology—aqua
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.377
H-Index - 50
eISSN - 1365-2087
pISSN - 0003-7214
DOI - 10.2166/aqua.2020.057
Subject(s) - upstream (networking) , urban sprawl , downstream (manufacturing) , environmental science , china , upstream and downstream (dna) , water quality , water resource management , work (physics) , business , environmental planning , urban planning , transport engineering , civil engineering , computer science , geography , engineering , telecommunications , mechanical engineering , ecology , archaeology , marketing , biology
Both the distance between the upstream and downstream cities and the capacity of urban water infrastructure would affect the water safety of the cities in the catchment. In this work, the concept of safe distance for urban growth was proposed. If the water quality between the upstream and the downstream cities can meet the functional requirements of the water environment, then the distance between the upstream and the downstream cities is safe. Taking two neighboring cities in the Yangtze River catchment as a case study, a distributed Cellular Automata (CA) model and a backpropagation (BP) neural network water quality model were used to discuss the safety distance between the two cities. The results provided some decision-making on urban sprawl control and rational urban development.

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