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Spatial planning and management to control multi-ecological environmental problems: A case study of Anshan city, Liaoning, China

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Abstract Context Many efforts have been made to control the eco-environmental problems caused by urbanization and industrialization. Meanwhile, spatial pattern and process studies are of global interest and typically focus on one certain environmental or ecological process. Objectives Conduct scientific planning to solve and prevent multiple eco-environmental problems. Methods By using multi-process models and spatial statistical methods, including CMAQ and SWAT models, we analyzed the process and spatial distribution of pollutants and identified critical control areas and landscape managements to prevent environmental pollution and ecological damage events. Results The models we proposed can effectively identify the link between pollutants and land use. According to the relationships of eco-environmental process and landscape, we combined the administrative districts and land use, then we divided 67 landscape control units for air pollution discharge, water pollution discharge, soil heavy metal pollution, and ecological space. For each partition, we proposed management and control measures for each region to solve the hydrological atmospheric, edaphic and ecological problems. Conclusion s This integrated method can provide guidance and scientific support for spatial planning or ecological construction, especially in China.
Title: Spatial planning and management to control multi-ecological environmental problems: A case study of Anshan city, Liaoning, China
Description:
Abstract Context Many efforts have been made to control the eco-environmental problems caused by urbanization and industrialization.
Meanwhile, spatial pattern and process studies are of global interest and typically focus on one certain environmental or ecological process.
Objectives Conduct scientific planning to solve and prevent multiple eco-environmental problems.
Methods By using multi-process models and spatial statistical methods, including CMAQ and SWAT models, we analyzed the process and spatial distribution of pollutants and identified critical control areas and landscape managements to prevent environmental pollution and ecological damage events.
Results The models we proposed can effectively identify the link between pollutants and land use.
According to the relationships of eco-environmental process and landscape, we combined the administrative districts and land use, then we divided 67 landscape control units for air pollution discharge, water pollution discharge, soil heavy metal pollution, and ecological space.
For each partition, we proposed management and control measures for each region to solve the hydrological atmospheric, edaphic and ecological problems.
Conclusion s This integrated method can provide guidance and scientific support for spatial planning or ecological construction, especially in China.

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