1985 - 2020年甘肃省通威县滑坡区土地利用变化及驱动力分析[j]。

Q3 Environmental Science
Jing Jia, Xing Su, Jun Zhang, Chang-Liang Lu, Man-Yin Zhang, Xia Li, Yao-Gang Dong, Hao-Chen Ren
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引用次数: 0

摘要

准确分析滑坡区土地利用类型和灾害破坏变化特征,对科学推进区域土地利用格局优化和防灾减灾具有重要意义。利用ALOS DEM数据和1985-2020年土地利用数据,结合GIS空间分析、土地利用动态姿态、转移矩阵和Geodetector,对甘肃省通威县1985-2020年滑坡特征参数、土地利用变化特征及驱动因素进行了分析。结果表明:共鉴定出1012个滑坡样,具有高程中等、坡度平缓、高程差小、长度短、规模小的特点。1985—2020年滑坡区土地利用类型为耕地、林地、草地、裸地和不透水地表,以草地和耕地为主。2015-2020年,各类别土地利用动态态度最大,耕地、草地、林地、裸地和综合土地利用动态态度分别为3.1%、3.0%、10.9%、20.0%和1.5%。研究期间,土地利用变化以耕地和草地为主,耕地面积减少4.39 km2,转为草地和森林。裸地和不透水地表没有变化。研究了2000-2005年和2015-2020年土地利用变化的驱动因素。2000-2005年,坡度和归一化植被指数对土地利用变化具有较强的解释力,2015-2020年,坡度、人口密度和总人口对土地利用变化具有较强的解释力。区域个别滑坡的土地利用方式趋于统一,草地的增加增强了区域的植被覆盖。研究结果将为灾损土地的开发利用和生态恢复提供科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Land use changes and driving forces of landslide area in Tongwei County, Gansu Province, Northwest China from 1985 to 2020.]

Accurately analyzing the type of land use and change characteristics of disaster damage in landslide areas is of great significance to scientifically promote the optimization of regional land use pattern and disaster prevention and mitigation. We analyzed the characteristic parameters of landslides as well as the characteristics and driving factors of land use change from 1985 to 2020 in Tongwei County, Gansu Province, using ALOS DEM data and 1985-2020 land use data, GIS spatial analysis, land-use dynamic attitude, transfer matrix, and Geodetector. The results showed that a total of 1012 landslide samples were identified, characterized by medium elevation, gentle gradient, low elevation difference, short length, and small size. During 1985-2020, landslide area land use types were cropland, woodland, grassland, bare land and impervious surface, dominated by grassland and cropland. During 2015-2020, each category of single land use dynamic attitude reached the largest, with the value of cropland, grassland, woodland, bare land, and the combined land use being 3.1%, 3.0%, 10.9%, 20.0%, 1.5%, respectively. During the study period, land use change was dominated by cropland and grassland, with a total reduction of 4.39 km2 in cultivated land area, which was converted into grassland and forest. There was no change in bare land and impervious surfaces. We investigated the driving factors of land use change across 2000-2005 and 2015-2020. Slope and normalized difference vegetation index had a stronger explanatory power for land use change during 2000-2005, while slope, population density and total population had a stronger explanatory power during 2015-2020. The land use mode of regional individual landslide tended to be unified, and the increase of grassland enhanced the vegetation cover of the region. The findings would provide a scientific basis for the development and reuse of disaster damaged land and ecological restoration.

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应用生态学报
应用生态学报 Environmental Science-Ecology
CiteScore
2.50
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0.00%
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11393
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