Study on Spatial and Temporal Evolution Characteristics of Surface Water in Arid Area Based on Random Forest Algorithm
In order to accurately grasp the spatial distribution and dynamic changes of surface water in arid areas,the spatial and temporal evolution sources of surface water in the study area were explored.The random forest algorithm was used to classify the land use status in arid areas,and the land use classification map was made based on remote sensing data.Taking the Taolai River Basin as a classical research area,the spatial and temporal evolution characteristics of sur-face water in the Taolai River Basin were revealed through the analysis of land use transfer matrix.The results show that from 2016 to 2018,the surface water area of the basin increased from 74.513 7 million m2 to 82.350 9 million m2,the surface water outflow area was 3.664 8 million m2,and the surface water transfer area was 11.502 million m2.The main sources of area growth are bare land,grassland and farmland;From 2018 to 2020,the surface water area increased from 82 350 900 m2 to 96 409 800 m2.Compared with 2016,the net growth rate of surface water area was 179.39%.The main sources of area growth were bare land,grassland,ice and snow.The surface water area of the Taolai River Basin is increasing year by year.The main sources of surface water area growth are bare land and grassland,and the transfer-in contribution rate is more than 84.87%.This study provides a scientific reference for digital monitoring of surface water and rational utilization of water and soil resources in arid areas.
arid regionsurface water bodiesspatial and temporal evolution of land userandom forest algorithm
万方数据
维普
