| 中国地级城市建成区蓝绿空间时空格局及其气候影响因素分析 |
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| 引用本文： | 张歆越,高晓路,柴琪,宋敦江.中国地级城市建成区蓝绿空间时空格局及其气候影响因素分析[J].地球信息科学,2023,25(1):190-207. |
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| 作者姓名： | 张歆越 高晓路 柴琪 宋敦江 |
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| 作者单位： | 1.中国科学院地理科学与资源研究所 区域可持续发展分析与模拟重点实验室，北京 1001012.中国科学院大学，北京 1000493.自然资源部国土卫星遥感应用中心，北京 1000484.中国科学院科技战略咨询研究院，北京 1001905.北京建筑大学建筑学院，北京， 100044 |
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| 基金项目： | 国家自然科学基金项目(41871171);国家自然科学基金项目(41471338);中国科学院A类战略性先导科技专项(XDA23100302) |
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| 摘 要： | 蓝绿空间是城市生态安全的重要保障。本文通过谷歌地球引擎（GEE）提取2005、2010、2015与2020年的植被与水体指数数据，构建了包含272个地级城市建成区的蓝绿空间数据库。运用蓝绿空间覆盖率、300 m服务半径覆盖率、分维数与分离度4个指标分析其时空格局与演化模式，并进一步探讨其气候影响因素。结果表明：(1)地级城市建成区蓝绿空间整体呈现为“南高北低”的格局，且南方“西高东低”、北方“东高西低”，但环渤海地区为蓝绿空间覆盖率“洼地”；时间格局为“总体增长、局部降低”，华中地区呈下降趋势的城市最多；(2)就分区而言，西南地区城市建成区蓝绿空间覆盖率最高（平均高于65%）、分离度最低（平均低于0.60），西北地区覆盖率分异较大，华北地区覆盖率最低（平均10%～30%）且分离度最高（平均约0.98）；(3)采用多尺度地理加权回归模型所得R2为0.85（校正R2为0.83），其中，降水量对城市建成区蓝绿空间的影响最显著，降水量变化成正相关，气温则成负相关；整体上气候影响与比人为影响相当，但在某些时段间更大。
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| 关 键 词： | 蓝绿空间 城市建成区 时空格局 谷歌地球引擎(GEE) 气候因素 多尺度地理加权回归 |
| 收稿时间： | 2022-05-05 |
Analyzing Spatial-Temporal Pattern and Climate Factors of Blue-Green Space in Urban Built-Up Areas in Prefecture-level Cities in China |
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| ZHANG Xinyue,GAO Xiaolu,CHAI Qi,SONG Dunjiang.Analyzing Spatial-Temporal Pattern and Climate Factors of Blue-Green Space in Urban Built-Up Areas in Prefecture-level Cities in China[J].Geo-information Science,2023,25(1):190-207. |
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| Authors: | ZHANG Xinyue GAO Xiaolu CHAI Qi SONG Dunjiang |
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| Abstract: | Blue-green space plays a prominent role in urban ecological security. This study built a blue-green database of 272 prefecture-level urban built-up areas in China using NDVI and MNDWI in 2005, 2010, 2015, and 2020 based on Google Earth Engine (GEE). Combining with the coverage rate, 300-meter service coverage rate, the fractal index distribution, and the landscape division index, the spatiotemporal pattern of the blue-green space and its climate factors were examined. The results show that: (1) The blue-green space in urban built-up areas in prefecture-level cities presented an overall pattern of “higher coverage in south than that in north”. While the south showed a pattern of “higher in west than east”, and the north had a pattern of “higher in east than west”. Particularly, the Bohai Rim area was marked as a basin of low coverage. The temporal trend of overall blue-green space was increasing except for a few cities in Central China; (2) In terms of different zones, the highest coverage rate (> 65%) of blue-green space in urban built-up areas occurred in Southwest China where the landscape division index was the lowest (< 0.60), and the coverage rate of Northwest China varied greatly. The North China indicated the lowest coverage (10%~30%) of blue-green space and a highest landscape division index (~0.98); (3) Based on the Multi-scale Geographically Weighted Regression (MGWR), the R-square value and the adjusted R-square value were 0.85 and 0.83, respectively. The impact of precipitation on the blue-green space coverage in urban built-up areas was significant and positive, while the temperature had negative impact on blue-green space. The impacts of climate factors were mostly equivalent to human activities but were stronger in certain periods. |
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| Keywords: | blue-green space urban built-up area spatial-temporal pattern Google Earth Engine (GEE) climate factors multiscale Geographically Weighted Regression (MGWR) |
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