Research on the problems and countermeasures of environmental design of rural residential areas based on deep learning model
Author:
Affiliation:
1. 1 Hunan Polytechnic of Environment and Biology , Hengyang , Hunan , , China .
2. 2 Zhuzhoushi Tianyuan Garden Sanitation Co., LTD ., Zhuzhou , Hunan , , China .
3. 3 Hunan Polytechnic of Environment and Biology , Hengyang , Hunan , , China .
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science
Link
https://www.sciendo.com/pdf/10.2478/amns.2023.2.00635
Reference23 articles.
1. Liu, L., Dobson, B., & Mijic, A. (2022). Hierarchical systems integration for coordinated urban-rural water quality management at a catchment scale. Science of the Total Environment, 806, 150642-.
2. Li, Y., Cheng, S., Li, Z., Song, H., & Li, T. (2020). Using system dynamics to assess the complexity of rural toilet retrofitting: case study in eastern china. Journal of Environmental Management, 111655.
3. Carlier, J., & Moran, J. (2019). Hedgerow typology and condition analysis to inform greenway design in rural landscapes. Journal of Environmental Management, 247, 790-803.
4. Long, H., Liu, J., Tu, C., & Fu, Y. (2018). From state-controlled to polycentric governance in forest landscape restoration: the case of the ecological forest purchase program in yong’an municipality of china. Environmental Management.
5. Do, H. T., Phuong, V. T., Catacutan, D., & Truong, N. V. (2020). Governing landscapes for ecosystem services: a participatory land-use scenario development in the northwest montane region of Vietnam. Environmental Management, 2020.
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