Spatiotemporal Analysis of Smart Growth of Artificial Oasis in Turpan Basin in Recent 47 Years
Landsat series remote sensing images of five periods in 1976,1990,2000,2010 and 2023 were interpreted,and the smart growth index system of oasis was constructed by means of mathematical statistics model,fractal dimension,compactness index and the smart growth theory.The expansion,distribution and spatiotemporal manifestation of artificial oasis in Turpan Basin in recent 47 years were measured and analyzed.The results show that:(1)the spatial expansion of oasis in Turpan Basin was obvious,showing obvious stage characteristics,the oasis scale expanded from 1259.33 km2 in 1976 to 1810.27 km2 in 2023.After experiencing slow decline,slow growth and rapid growth,its expansion intensity has changed to medium-low growth under the background of smart growth.(2)The spatial expansion direction of oasis in Turpan Basin is differentiated,and the expansion direction is most significant in northwest and northeast.The spatial center of gravity migrates in the direction of southwest-northeast-southwest,and its maximum migration distance is 55.60 km.(3)The oasis compactness in the study period remained at a relatively high level,and the land utilization rate is relatively high,but it showed a downward trend in recent ten years.(4)The astute development level of oasis in Turpan Basin is low,and the astute score decreased from 0.474 in 1976 to 0.383 in 1990,and then reached the maximum value of 0.517 in 2023,with a trend of first decreasing and then increasing.From the perspective of spatial difference of smart development level,the double core trend of Daheyan-Talang Basin and Tokesun-Baiyang River basin as the high level is obvious,showing a trend of fluctuation and decline from the center to the periphery.The research results can provide reference for the reasonable development model of oasis in the future,preventing the disorderly spread and expansion of oasis,and ensuring the reasonable allocation of oasis land resources in arid areas.
国家科技期刊平台
NSTL
万方数据
