The water environment carrying capacity of the Aiyi River based on artificial neural networks

• Autorzy: Kai X. , Qiu X. , wang Y. , Zhang W. , Yin J.
• Języki publikacji: EN

Abstrakty

EN

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2020
• Tom: 29
• Numer: 1
• Opis fizyczny: p.131-139,fig.,ref.

Twórcy

autor

Kai X.

• School of Civil Engineering and Hydraulic Engineering, Ningxia University, Yinchuan, China
• Earth and Environmental College, Anhui University of Science and Technology, Huainan, China

autor

Qiu X.

• School of Life Science, Ningxia University, Yinchuan, China

autor

wang Y.

• School of Life Science, Ningxia University, Yinchuan, China

autor

Zhang W.

• School of Civil Engineering and Hydraulic Engineering, Ningxia University, Yinchuan, China
• Key Laboratory of Restoration and Rehabilitation of Degraded Ecosystems in Northwestern China, Ministry of Education, Yinchuan, China

autor

Yin J.

• School of Civil Engineering and Hydraulic Engineering, Ningxia University, Yinchuan, China
• Key Laboratory of Restoration and Rehabilitation of Degraded Ecosystems in Northwestern China, Ministry of Education, Yinchuan, China

Identyfikatory

DOI

10.15244/pjoes/100669