Journal of Geo-information Science ›› 2020, Vol. 22 ›› Issue (11): 2212-2226.doi: 10.12082/dqxxkx.2020.200137
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ZHAO Xuan1(), PENG Jiandong1,*(
), FAN Zhiyu1,2, YANG Chen1,2, YANG Hong1
Received:
2020-03-23
Revised:
2020-05-27
Online:
2020-11-25
Published:
2021-01-25
Contact:
PENG Jiandong
E-mail:zhaoxuan_jeremy@whu.edu.cn;jiand@sud.whu.edu.cn
Supported by:
ZHAO Xuan, PENG Jiandong, FAN Zhiyu, YANG Chen, YANG Hong. Land Use Simulation and Urban Growth Boundaries Delineation in Wuhan Metropolitan Area based on FLUS Model and "Dual Environment Evaluation"[J].Journal of Geo-information Science, 2020, 22(11): 2212-2226.DOI:10.12082/dqxxkx.2020.200137
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Tab.1
The meaning and calculation formula of landscape index"
景观指数 | 指数含义 | 计算公式 公式编号 |
---|---|---|
斑块面积指数CA | 表示斑块类型的总面积 | 式中: |
最大斑块指数LPI | 表示最大斑块面积所占比例 | 式中: |
斑块数量指数NP | 表示斑块总数量 | 式中: |
平均周长面积比指数PARA_MN | 表示形状复杂度,值越小,形状越简单规整 | 式中: |
平均最邻近指数ENN_MN | 表示空间分布特征,值越小,分布越集中 | 式中: |
景观分裂度指数SPLIT | 表示被割裂程度,值越小,破碎度越低 | 式中: |
Tab.2
Information of driving factors for land use simulation in Wuhan metropolitan area"
数据名称 | 数据说明 | 年份 | 数据来源 | ||
---|---|---|---|---|---|
资 源 环 境 承 载 力 评 价 因 子 库 | 水资源 | 年平均降水量 | 1 km×1 km栅格数据 | 2015 | a |
水资源供给 | 具体见生态系统服务价值空间分布数据[ | ||||
水文调节 | |||||
距河流水系的距离 | 30 m×30 m栅格数据 | ||||
土地资源 | 土壤质地 | 计算粉砂土、黏土、砂土含量空间分布 | 1995 | a | |
植被资源 | 年度植被指数 | NDVI数据 | 2015 | b | |
粮食资源 | 净初级生产力 | NPP数据 | 2010 | a | |
食物生产能力 | 具体见生态系统服务价值空间分布数据[ | 2015 | |||
原料生产能力 | 2015 | ||||
大气资源 | 大气污染指数 | PM2.5空间插值栅格数据 | 2018 | c | |
年平均气温 | 1 km×1 km栅格数据 | 2010 | a | ||
气体调节 | 具体见生态系统服务价值空间分布数据[ | 2015 | a | ||
气候调节 | 2015 | a | |||
水土流失 | 土壤侵蚀 | 1 km×1 km侵蚀强度 | 2015 | a | |
城市化 | 距武汉大都市区中心距离 距县区中心的距离 距矿产资源的距离 | 30 m×30 m栅格数据 | 2015 2015 2018 | a | |
生物多样性 | 生物多样性 | 具体见生态系统服务价值空间分布数据[ | 2015 | a | |
城 市 空 间 适 宜 性 评 价 因 子 库 | 地形条件 | 地形(DEM)、坡度 | 坡度据地形数据计算 | 2015 | d |
交通优势 | 距机场的距离 | 30 m×30 m栅格数据 | 2019 | e | |
距高速公路的距离 | |||||
距国道的距离 | |||||
距省道的距离 | |||||
距城市主干路的距离 | |||||
距火车轻轨站的距离 | |||||
距铁路的距离 | |||||
经济发展 | GDP | 1 km×1 km人均GDP | 2015 | a | |
人口聚集 | 人口密度 | 1 km×1 km人口分布 | 2015 | a | |
设施适宜度 | 距行政机关的距离 | 30 m×30 m栅格数据 | 2019 | e | |
距知名企业的距离 | |||||
距购物中心的距离 | |||||
距高等院校的距离 | |||||
距三甲医院的距离 | |||||
距公园广场的距离 | |||||
距产业园区的距离 | |||||
距风景名胜的距离 | |||||
地质灾害 | 距地质灾害点距离 | 30 m×30 m栅格数据 | 2015 | a | |
生态发展 | 净化环境能力 | 具体见生态系统服务价值空间分布数据[ | 2015 | a | |
美学景观 |
Tab.3
Comparison table of land use categories in different years in Wuhan metropolitan area (km2)"
年份 | 耕地 | 林地 | 草地 | 水域 | 城镇建设用地 | 对外交通用地 | 农村居民点用地 | 未利用土地 |
---|---|---|---|---|---|---|---|---|
2005 | 11 080.70 | 2551.20 | 356.70 | 4188.20 | 1191.21 | 94.77 | 907.28 | 185.90 |
2015 | 10 636.95 | 2524.71 | 351.96 | 4195.49 | 1625.56 | 109.03 | 930.20 | 182.08 |
2025 | 10 211.33 | 2498.37 | 347.24 | 4200.36 | 2049.50 | 118.59 | 952.25 | 178.33 |
2035 | 9803.07 | 2472.20 | 342.54 | 4202.94 | 2462.42 | 124.67 | 973.48 | 174.66 |
Tab. 6
Evaluation of landscape patches in different scenarios in Wuhan metropolitan area"
描绘方案 | CA/ha | LPI/% | NP/个 | PARA_MN | ENN_MN/m | SPLIT | 综合值A | |
---|---|---|---|---|---|---|---|---|
DEE- UGB | 253 320 | 30.66 | 792 | 105.26 | 1098.5 | 1716.9 | 0.9465 | |
BASIC- UGB | 253 626 | 29.85 | 769 | 109.40 | 1128.7 | 1645.9 | 0.9435 | |
RECC- UGB | 254 121 | 30.57 | 789 | 106.22 | 1108.2 | 1728.8 | 0.9422 | |
USS- UGB | 254 230 | 30.37 | 768 | 106.65 | 1125.9 | 1704.9 | 0.9456 | |
2015-UGB | 161 111 | 12.20 | 1169 | 118.29 | 882.2 | 2252.8 | 0.7352 |
Tab. 7
Quantity of LEI types and percentage in different scenarios in Wuhan metropolitan area"
描绘方案 | 飞地式扩张 | 边缘式扩张 | 填充式扩张 | 总计/个 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
数量/个 | 比例/% | 数量/个 | 比例/% | 数量/个 | 比例/% | |||||||||
DEE-UGB | 89 | 4.16 | 1404 | 65.70 | 644 | 30.14 | 2137 | |||||||
BASIC- UGB | 81 | 2.45 | 2322 | 70.32 | 899 | 27.23 | 3302 | |||||||
RECC- UGB | 102 | 3.99 | 1747 | 68.27 | 710 | 27.75 | 2559 | |||||||
USS- UGB | 70 | 2.18 | 2227 | 69.33 | 915 | 28.49 | 3212 |
Tab. 9
EII at different time periods(2015-2025、2025-2035、2015-2035) in Wuhan metropolitan area"
时间 | N | NNE | NE | NEE | E | SEE | SE | SSE | S | SSW | SW | SWW | W | NWW | NW | NNW |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2015-2025 | 1.1 | 0.3 | 1.6 | 1.1 | 3.0 | 4.2 | 0.9 | 0.9 | 2.4 | 1.2 | 1.4 | 1.6 | 1.4 | 1.0 | 1.5 | 1.2 |
2025-2035 | 1.3 | 0.4 | 1.7 | 1.1 | 2.1 | 2.9 | 0.7 | 0.7 | 2.4 | 1.2 | 1.1 | 1.2 | 1.6 | 1.2 | 1.4 | 1.1 |
2015-2035 | 2.5 | 0.7 | 3.3 | 2.2 | 5.1 | 7.1 | 1.6 | 1.6 | 4.7 | 2.4 | 2.5 | 2.7 | 3.0 | 2.2 | 2.9 | 2.3 |
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