Development of a Heterogeneity Analysis Framework for Collaborative Sponge City Management
Rapid urbanization, inappropriate urban planning and the changing climate in many countries have resulted in flooding, water shortage and water pollution around the world. Although the sponge city concept has been applied in both macro-scales and micro-scales to address those challenges, research on...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-09-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/11/10/1995 |
| _version_ | 1811224802681159680 |
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| author | Bing Li Shou Long Dong Yue Fei Huang Guang Qian Wang |
| author_facet | Bing Li Shou Long Dong Yue Fei Huang Guang Qian Wang |
| author_sort | Bing Li |
| collection | DOAJ |
| description | Rapid urbanization, inappropriate urban planning and the changing climate in many countries have resulted in flooding, water shortage and water pollution around the world. Although the sponge city concept has been applied in both macro-scales and micro-scales to address those challenges, research on the heterogeneity of different cities for sponge city construction and the collaborative management between cities is insufficient. Therefore, this paper proposes a multivariate cluster analysis framework and conducts an empirical study using 96 Chinese cities. By considering the local infrastructure, economic development, water resource distribution, water quality and precipitation characteristics in each city, and integrating the principal component analysis and a self-organizing feature mapping network, this paper shows the potential of regional and interregional sponge city collaborative management. This will provide an opportunity for developing a new sponge city management mechanism and will promote the establishment of multi-functional departments for urban flood control and water quality improvement. |
| first_indexed | 2024-04-12T08:55:12Z |
| format | Article |
| id | doaj.art-a1ea14a234b64d089ba7327cf192344a |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-04-12T08:55:12Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-a1ea14a234b64d089ba7327cf192344a2022-12-22T03:39:25ZengMDPI AGWater2073-44412019-09-011110199510.3390/w11101995w11101995Development of a Heterogeneity Analysis Framework for Collaborative Sponge City ManagementBing Li0Shou Long Dong1Yue Fei Huang2Guang Qian Wang3Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, ChinaSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, ChinaDepartment of Hydraulic Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Hydraulic Engineering, Tsinghua University, Beijing 100084, ChinaRapid urbanization, inappropriate urban planning and the changing climate in many countries have resulted in flooding, water shortage and water pollution around the world. Although the sponge city concept has been applied in both macro-scales and micro-scales to address those challenges, research on the heterogeneity of different cities for sponge city construction and the collaborative management between cities is insufficient. Therefore, this paper proposes a multivariate cluster analysis framework and conducts an empirical study using 96 Chinese cities. By considering the local infrastructure, economic development, water resource distribution, water quality and precipitation characteristics in each city, and integrating the principal component analysis and a self-organizing feature mapping network, this paper shows the potential of regional and interregional sponge city collaborative management. This will provide an opportunity for developing a new sponge city management mechanism and will promote the establishment of multi-functional departments for urban flood control and water quality improvement.https://www.mdpi.com/2073-4441/11/10/1995sponge cityprincipal component analysisself-organizing feature mappingheterogeneity |
| spellingShingle | Bing Li Shou Long Dong Yue Fei Huang Guang Qian Wang Development of a Heterogeneity Analysis Framework for Collaborative Sponge City Management Water sponge city principal component analysis self-organizing feature mapping heterogeneity |
| title | Development of a Heterogeneity Analysis Framework for Collaborative Sponge City Management |
| title_full | Development of a Heterogeneity Analysis Framework for Collaborative Sponge City Management |
| title_fullStr | Development of a Heterogeneity Analysis Framework for Collaborative Sponge City Management |
| title_full_unstemmed | Development of a Heterogeneity Analysis Framework for Collaborative Sponge City Management |
| title_short | Development of a Heterogeneity Analysis Framework for Collaborative Sponge City Management |
| title_sort | development of a heterogeneity analysis framework for collaborative sponge city management |
| topic | sponge city principal component analysis self-organizing feature mapping heterogeneity |
| url | https://www.mdpi.com/2073-4441/11/10/1995 |
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