An integrated hydrodynamic and multicriteria evaluation Cellular Automata–Markov model to assess the effects of a water resource project on waterbird habitat in wetlands-Reference-Cited by-同舟云学术

An integrated hydrodynamic and multicriteria evaluation Cellular Automata–Markov model to assess the effects of a water resource project on waterbird habitat in wetlands

Published:2022-04 Issue: Volume:607 Page:127561
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Yao Siyang,Chen Cheng,Chen Qiuwen,Zhang Jianyun,Li Yuekang,Zeng Yuhong

Funder

National Natural Science Foundation of China

National Basic Research Program of China

Publisher

Elsevier BV

Subject

General Medicine

Reference77 articles.

1. Change detection and prediction of urban land use changes by CA–Markov model (case study: Talesh county);Aliani;Environ. Earth Sci.,2019

2. Systems modeling to improve the hydro-ecological performance of diked wetlands;Alminagorta;Water Resour. Res.,2016

3. Coupling HYDRUS-1D with ArcGIS to estimate pesticide accumulation and leaching risk on a regional basis;Anlauf;J. Environ. Manage.,2018

4. The effects of hydropeaking on riverine plants: a review;Bejarano;Biol. Rev.,2018

5. Environmental factors controlling the vegetation zonation patterns and distribution of vegetation types in the Olifants Estuary, South Africa;Bornman;S. Afr. J. Bot.,2008

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