The Impact Analysis of Water Body Landscape Pattern on Urban Heat Island: A Case Study of Wuhan City
Based on the LST and the landscape metrics of water body with remote sensing technique and spatial analysis, the relationship between the mean LST and the attributes of water body was revealed via Pearson’s correlation analysis and multiple stepwise regression analysis. Result showed that, in 32 cla...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2015/416728 |
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| _version_ | 1832560406282895360 |
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| author | Bohan Yang Fen Meng Xinli Ke Caixue Ma |
| author_facet | Bohan Yang Fen Meng Xinli Ke Caixue Ma |
| author_sort | Bohan Yang |
| collection | DOAJ |
| description | Based on the LST and the landscape metrics of water body with remote sensing technique and spatial analysis, the relationship between the mean LST and the attributes of water body was revealed via Pearson’s correlation analysis and multiple stepwise regression analysis. Result showed that, in 32 class-based metrics we selected, the proportion of water body, average water body size, the isolation and fragmentation of water body, and other eight metrics have high correlation with the LST. As a resultant force, the quantity, shape, and spatial distribution of water body affect the forming of temperature. We found that the quantity and spatial pattern of city water body could be allocated reasonably to maximize its cooling effect. |
| format | Article |
| id | doaj-art-9c5e2845b37b4944a070d103e7de6fd1 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-9c5e2845b37b4944a070d103e7de6fd12025-02-03T01:27:41ZengWileyAdvances in Meteorology1687-93091687-93172015-01-01201510.1155/2015/416728416728The Impact Analysis of Water Body Landscape Pattern on Urban Heat Island: A Case Study of Wuhan CityBohan Yang0Fen Meng1Xinli Ke2Caixue Ma3College of Land Management, Huazhong Agricultural University, Wuhan 430079, ChinaCollege of Land Management, Huazhong Agricultural University, Wuhan 430079, ChinaCollege of Land Management, Huazhong Agricultural University, Wuhan 430079, ChinaCollege of Land Management, Huazhong Agricultural University, Wuhan 430079, ChinaBased on the LST and the landscape metrics of water body with remote sensing technique and spatial analysis, the relationship between the mean LST and the attributes of water body was revealed via Pearson’s correlation analysis and multiple stepwise regression analysis. Result showed that, in 32 class-based metrics we selected, the proportion of water body, average water body size, the isolation and fragmentation of water body, and other eight metrics have high correlation with the LST. As a resultant force, the quantity, shape, and spatial distribution of water body affect the forming of temperature. We found that the quantity and spatial pattern of city water body could be allocated reasonably to maximize its cooling effect.http://dx.doi.org/10.1155/2015/416728 |
| spellingShingle | Bohan Yang Fen Meng Xinli Ke Caixue Ma The Impact Analysis of Water Body Landscape Pattern on Urban Heat Island: A Case Study of Wuhan City Advances in Meteorology |
| title | The Impact Analysis of Water Body Landscape Pattern on Urban Heat Island: A Case Study of Wuhan City |
| title_full | The Impact Analysis of Water Body Landscape Pattern on Urban Heat Island: A Case Study of Wuhan City |
| title_fullStr | The Impact Analysis of Water Body Landscape Pattern on Urban Heat Island: A Case Study of Wuhan City |
| title_full_unstemmed | The Impact Analysis of Water Body Landscape Pattern on Urban Heat Island: A Case Study of Wuhan City |
| title_short | The Impact Analysis of Water Body Landscape Pattern on Urban Heat Island: A Case Study of Wuhan City |
| title_sort | impact analysis of water body landscape pattern on urban heat island a case study of wuhan city |
| url | http://dx.doi.org/10.1155/2015/416728 |
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