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呼伦湖丰水期水体面积变化特征及驱动机制研究

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监测湖泊地表水体面积动态,对于掌握水资源分布及变化趋势至关重要.基于谷歌地球引擎(GEE)遥感云计算平台和1986年-2021年的Landsat系列遥感影像,进行呼伦湖水体面积变化特征及驱动机制分析.结果表明:①MNDWI水体提取算法总体识别精度达到了 98%,在水体信息提取方面性能卓越.②1986年-2021年呼伦湖水体面积呈现先增加后减少再增加的波动性变化趋势,36 a间面积增加了 89.57 km2,变化幅度为4.09%.其中,东北部与南部水域的面积变化情况最为显著.③水体面积在1986年-1989年、2005年-2021年分别呈下降趋势(UF<0,α=0.01),1990年-2004年呈上升趋势(UF>0,α=0.01),总体上,湖泊面积逐渐恢复.④相对湿度与水体面积显著正相关;植被覆盖度、从事农林牧渔业人数与水体面积显著负相关.
Study on the Characteristics and Driving Mechanism of Water Area Change in Hulun Lake during Wet Season
Monitoring the dynamics of lake surface water area is crucial for understanding the distribution and change trends of water resources.Based on the Google Earth Engine(GEE)cloud platform,Landsat remote sensing images from 1986 to 2021 were used to analyze the characteristics and driving mechanism of the water area change in Hulun Lake.The results showed that the MNDWI wa-ter extraction algorithm achieved an overall accuracy of 98%,demonstrating excellent performance in extracting water information.From 1986 to 2021,the water area of Hulun Lake showed a fluctuating trend of first increasing,then decreasing and increasing again.Over 36 years,the area expanded by 89.57 km2,with a variation of 4.09%.The most significant changes occurred in the northeastern and southern parts of the lake.The water area decreased during 1986-1989 and 2005-2021,respectively(UF<0,α=0.01),and increased during 1990-2004(UF>0,α=0.01).In general,the lake area gradually recovered.There was a significant positive correlation between the relative humidity and water area.The vegetation coverage,the number of people in agriculture,for-estry,animal husbandry and fishery were negatively correlated with the water area.

Google Earth EngineWater indexHulun LakeWater body areaInfluencing factor

李菲、苏德苏日古格

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内蒙古农业大学沙漠治理学院,呼和浩特 010011

谷歌地球引擎 水体指数 呼伦湖 水体面积 影响因素

2024

内蒙古农业大学学报(自然科学版)
内蒙古农业大学

内蒙古农业大学学报(自然科学版)

北大核心
影响因子:0.384
ISSN:1009-3575
年,卷(期):2024.45(6)