The Water Environment Carrying Capacity of the Aiyi River Based on Artificial Neural Networks
Juan Yin 1,4
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School of Civil Engineering and Hydraulic Engineering, Ningxia University, Yinchuan, China
Earth and Environmental College, Anhui University of Science and Technology, Huainan, China
School of Life Science, Ningxia University, Yinchuan, China
Key Laboratory of Restoration and Rehabilitation of Degraded Ecosystems in Northwestern China, Ministry of Education, Yinchuan, China
Submission date: 2018-09-09
Acceptance date: 2018-12-11
Online publication date: 2019-08-09
Publication date: 2019-10-23
Corresponding author
Xiaocong Qiu   

Ningxia University
Pol. J. Environ. Stud. 2020;29(1):131–139
To understand the characteristics of the water’s environmental carrying capacity in the Aiyi River in Yinchuan, Ninxia, China, a BP artificial neural network analysis based on water environmental factors and aquatic biodiversity metrics were conducted. Twelve indicators were used to construct an evaluation index system to examine the water environment carrying capacity of the river, namely ratio of water supply and water requirements; ratios of water environmental capacity to pollutant emissions of CODMn, BOD5, TN, NH3-N, and TP; self-purification rate; biodiversity indices of phytoplankton, zooplankton zoobenthos, and aquatic macrophytes; and a comprehensive nutrition state index. A model of water environmental carrying capacity was constructed according to the BP artificial neural network. The model, which quantitatively analyzed the water environmental carrying capacity of the Aiyi River, found it to be in the basic carrying state.