基于地理探测器的乌鲁木齐市城区扩展及影响因素分析

doi:10.12118/j.issn.1000–6060.2021.06.21

Abstract

Abstract:

In this paper, taking Urumqi City in northwest China as an example, the spatial land cover/land use (LUCC) characteristics of Urumqi from 2000 to 2020 were analyzed on the basis of the thematic mapper (TM) and oil remote sensing image data from three phases of Landsat in 2000, 2010, and 2020. This was achieved using the random forest classification method based on a 250 m×250 m grid cell. The underlying factors were further revealed using a geographic detector model, and a quantitative analysis and an evaluation of Urumqi City from 2000 to 2020 were carried out to determine the spatial and temporal changes and response factors of LUCC over the past 20 years. The results demonstrated the following: (1) Over the past 20 years, Urumqi has been rapidly urbanized, and the land area dedicated to construction has greatly increased. On the basis of the built-up area in 2000, Urumqi has been developing to the north, northeast, northwest, and southeast, mainly in the outward expansion mode, although urban interior filling-type growth also exhibits a trend of intensive growth. (2) Over the past 20 years, the green space in Urumqi City has fluctuated to a certain extent, although there has been an increasing trend overall. At the same time, the amount of bare land has shown a trend of continuous decrease. (3) The main influencing the temporal and spatial variation of LUCC in Urumqi City were identified using a geographical detector, and the results revealed that the dominant factor with the highest contribution rate was normalized difference vegetation index (NDVI). According to the interactive factor detection results, when NDVI and digital elevation model were used together, the two enhanced each other, and the explanatory power was the greatest.

Key words: land use, random forest algorithm, grid cell, geographical detector, Urumqi City

ZHAO Yongyu,Alimujiang KASIM,GAO Pengwen,LIANG Hongwu. Quantitative analysis of urban expansion and response factors in Urumqi City based on random forest algorithm and geographical detector[J].Arid Land Geography, 2021, 44(6): 1729-1739.

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年份	影像选取时间（年-月-日）	条带号（列/行）	传感器	分辨率/m
2000	2000-09-02	142/30	Landsat 5 TM	30
	2000-09-12	143/29
	2000-08-08	143/30
2010	2010-08-13	142/30	Landsat 5 TM	30
	2010-08-20	143/29
	2010-08-20	143/30
2020	2020-08-24	142/30	Landsat 8 OLI	30
	2020-07-14	143/29
	2020-09-16	143/30

一级分类	二级分类
一级分类	编号	类型
建设用地	11	城镇
	12	工矿
	13	交通用地
	14	居民点
绿地	21	林地
	22	草地
	23	耕地
水体	31	水库
	32	湖泊
裸地	41	山地
	42	未利用地

判断依据	交互作用类型
q(X₁∩X₂)<Min[q(X₁),q(X₂)]	非线性减弱
Min[q(X₁),q(X₂)]<q(X₁∩X₂)<Max[q(X₁),q(X₂)]	单因子非线性减弱
q(X₁∩X₂)>Max[q(X₁),q(X₂)]	双因子增强
q(X₁∩X₂)=q(X₁)+q(X₂)	独立
q(X₁∩X₂)>q(X₁)+q(X₂)	非线性增强

土地利用类型	2000年		2010年		2020年
土地利用类型	面积/km²	比重/%	面积/km²	比重/%	面积/km²	比重/%
建设用地	241.43	1.70	542.73	3.82	877.86	6.18
绿地	5795.47	40.82	4818.91	33.94	5446.31	38.36
裸地	7728.13	54.43	8608.12	60.63	7568.68	53.31
水体	433.13	3.05	228.40	1.61	305.31	2.15
总计	14198.16	100.00	14198.16	100.00	14198.16	100.00

2000年	2020年
2000年	建设用地	裸地	绿地	水体	总计
建设用地	138.13	419.31	276.02	35.66	869.12
裸地	48.75	6168.61	1249.82	99.75	7566.93
绿地	38.82	1063.89	4252.87	103.17	5458.75
水体	4.37	92.32	15.51	191.16	303.36
总计	230.07	7744.13	5794.22	429.74	14198.16

Quantitative analysis of urban expansion and response factors in Urumqi City based on random forest algorithm and geographical detector

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因子	q值
因子	2000年	2010年	2020年
DEM	0.30	0.14	0.29
GDP	0.11	0.07	0.10
NDVI	0.34	0.35	0.29
河网密度	0.18	0.12	0.22
降水量	0.10	0.09	0.11
坡度	0.21	0.15	0.19
人口密度	0.12	0.02	0.06
日照时数	0.07	0.15	0.07
年平均气温	0.08	0.09	0.08

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