Study on temporal and spatial evolution characteristics of surface water in Taolai River Basin based on random forest algorithm

Abstract

The Taolai River Basin is a typical arid area in Northwest China.In order to accurately grasp the spatial distribution and dynamic changes of surface water in the Taolai River Basin, the spatial and temporal evolution sources of surface water in the study area were explored. In this study, the random forest algorithm was used to classify the land use in the Taolai River Basin, and the land classification map based on remote sensing data was made. The temporal and spatial evolution characteristics of surface water in the Taolai River Basin were analyzed by confusion matrix. From 2016 to 2018, the area of surface water in the Taolai River Basin increased from 74.51 million m² to 82.35 million m², the area of surface water transferred out was 3.66 million m², and the area of surface water transferred in was 11.50 million m². The main sources of area growth were bare land, grassland and farmland. From 2018 to 2020, the surface water area increased from 82.35 million m² to 96.41 million 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, and snow. The surface water area in 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 the digital monitoring of surface water and the rational utilization of water and soil resources in the Taolai River Basin.