人民长江 ›› 2021, Vol. 52 ›› Issue (10): 128-134.doi: 10.16232/j.cnki.1001-4179.2021.10.019

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云南省九大高原湖泊水体面积时空变化研究

卢丽琛,洪亮   

  • 发布日期:2021-11-22

Study on surface water area variations of nine plateau lakes in Yunnan Province

LU Lichen, HONG Liang   

  • Published:2021-11-22

摘要: 基于Google Earth Engine(GEE)云平台和长时序的Landsat遥感影像,研究了近30 a云南省九大高原湖泊水体面积的时空变化趋势,并在此基础上分析了湖泊水体面积变化的驱动因素。研究结果表明:(1)云南省九大高原湖泊表面水体面积由1988年的1 024.91 km2减少至2018年的1 000.98 km2,总体呈"先增加后减少"的趋势,总面积减少了23.93 km2。(2)大部分高原湖泊的水体面积保持稳定,但从2008年以后,杞麓湖和异龙湖的水体面积明显缩小。(3)影响因素分析结果表明:九大高原湖泊水体总面积的变化在2013~2017年和降水的变化呈显著正相关(R=0.9,p=0.08),在1988~2018年与气温呈负相关性(R=-0.63,p=0.001);影响九大高原湖泊水体面积变化的主要人为因素包括湖泊流域的土地利用变化以及政府的经济发展和湖泊保护政策。区域气候变化和人类活动共同影响了云南省九大高原湖泊水体的面积变化。

关键词: 高原湖泊; 水体面积; 水体指数; Otsu算法; Google Earth Engine; Landsat遥感影像; 云南省;

Abstract: The water surface mapping of the nine plateau lakes in Yunnan Province from 1988 to 2018 was carried out by using the Google Earth Engine(GEE)cloud platform with long-term Landsat images.Meanwhile, the temporal and spatial variation of the water surface areas of the nine plateau lakes and its driving factors were analyzed.The results showed that:(1) In the past 30 years, the water surface area of the nine plateau lakes decreased by 23.93 km2 from 1 024.91 km2 in 1988 to 1 000.98 km2 in 2018,revealing an overall trend of “increasing followed by decreasing”.(2) The water surface areas of most plateau lakes remained stable, however, a few lakes showed significant changes.For example, the areas of Qilu Lake and Yilong Lake shrank significantly after 2008.(3) Analysis shows that from 2013 to 2017,the correlation between the change of water surface areas and precipitation is strong(R=0.9,p=0.08),while it is negatively correlated with air temperature(R=-0.63,p=0.08)from 1998 to 2018.The government′s economic development and lake protection policies and the changes of land cover/use are the most important human factors that cause changes of water surface areas of the nine plateau lakes.In conclusion, the dynamic changes of the nine plateau lakes in Yunnan Province are caused by climate changes and human activities jointly.

Key words: plateau lake; water body area; water index; Otsu algorithm; Google Earth Engine; Landsat images; Yunnan Province;