Characteristics of Land Use Structure Change in Beiluo River Basin During 1970-2019 Based on Google Erath Engine
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TP79;X87;F301.1

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    Abstract:

    [Objective] The spatial-temporal changes and associated driving forces of land use in the Beiluo River basin were investigated in order to provide a scientific basis for the optimization of land resources, the improvement of environmental quality and further exploration on runoff-sediment dynamics in the area.[Methods] Based on the google erath engine (GEE) platform, we sorted and processed six-phase remote sensing images acquired in 1970-2019 for the Beiluo River basin. The characteristics of land use change in the basin were captured from the perspectives of temporal variation, dynamics attitude, transfer direction and spatial structure, and the associated driving factors were explored.[Results] During the study period, the land use types in the Beiluo River basin were mainly woodland, cultivated land and grassland, and the quantitative structure changed from 1:1.1:0.6 before 2000 to 1:2.7:0.7 after 2000. During 1970-2019, cultivated land, grassland and water area in the basin decreased by 16.6%, 6.7% and 0.1%, respectively, while contrarily woodland and construction land have increased by 19.9% and 1.3%, respectively. The patches of cultivated land and grassland in the basin tended to be dispersed and simple, while the woodland tended to be aggregated and complicated. Land use transfer mainly occurred as the conversion of cultivated land to woodland and construction land, and the conversion of grassland to woodland. The comprehensive land use dynamic attitude of the basin increased firstly and then decreased, reaching a peak during 2000-2010. In the basin, the upstream hilly and ravine area saw the most significant change of land use structure, followed by Ganquan, Yijun, Huachi and Heshui counties in the middle reaches.[Conclusion] The evolution of national policies, socio-economic development and population growth determine the direction and extent of land use change, and natural factors are long-term auxiliary influencing factors.

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邹亚东,何亮,张晓萍,马宝有,王浩嘉,王妙倩,薛帆,贺洁.基于GEE数据平台的北洛河流域1970-2019年土地利用结构变化特征[J].水土保持通报英文版,2021,41(6):209-219

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History
  • Received:July 10,2021
  • Revised:September 01,2021
  • Adopted:
  • Online: January 06,2022
  • Published: