Dynamic monitoring of surface water areas of nine plateau lakes in Yunnan Province using long time-series Landsat imagery based on the Google Earth Engine platform
Dynamic monitoring of surface water areas of nine plateau lakes in Yunnan Province using long time-series Landsat imagery based on the Google Earth Engine platform
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DOI：
10.1080/10106049.2023.2253196
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发表时间：
2023-08
影响因子：
3.8
通讯作者：
Lichen Lu;Huiling Sun
中科院分区：
文献类型：
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作者：
Lichen Lu;Huiling Sun
摘要湖泊对气候变化和人类活动都很敏感，尤其是云贵高原地区。地表水作为水资源的主要供给源，对环境、生态平衡和社会经济发展具有重要影响。然而，目前还不清楚云南高原九个湖泊（NYPLs）的地表水面积（SWA）在过去几十年中发生了什么变化。在这项研究中，首先使用最佳水指数（WI）的基础上，Landsat遥感图像和谷歌地球引擎（GEE）提取的NYPL的SWA。然后，从1988年至2021年的NYPL的SWA的时空变化进行了分析。最后，分析了各湖泊SWA变化与气候因子和人类活动的相关性。我们发现，在过去的30年里，纽约公共图书馆的西南地区总面积保持稳定，在2000年达到最大值1，012.51平方公里，在2015年达到最小值972.94平方公里。从1988年到2015年，NYPL的整体SWA在1%以内稳定波动。然而，2015年，齐鲁湖和义龙湖明显萎缩。一般来说，雨季的NYPL的SWA大于旱季，但每个时期之间有一些差异。1991年、1994年和2003年西南偏南地区的季节变化约为10 km2，其他年份相对较小。降水是一个直接的因素，而温度和蒸发是间接的影响因素，年内和年际西南偏南的NYPL。NYPL的SWA的变化与降水趋势一致，并与温度和蒸发量的变化呈负相关。蒸发对浅水湖泊的影响大于深水湖泊。人类活动导致了个别湖泊（如滇池、仪陇湖和齐鲁湖）的显著变化。全球气候变化和人类活动共同作用下的区域性气候变化，在空间上表现出不同的响应特征。研究结果可为云南高原湖泊生态环境的科学管理提供数据参考和决策支持。
Abstract Lakes are sensitive to both climate change and human activities, especially in the Yungui Plateau zone. As the main supply of water sources, surface water has a significant impact on environment, ecological balance and socioeconomic development. However, it is unclear how the surface water areas (SWAs) of the nine Yunnan Plateau lakes (NYPLs) have changed over previous decades. In this study, the SWAs of the NYPLs were first extracted using the optimal water index (WI) based on Landsat remote sensing images and the Google Earth Engine (GEE). Then, a spatiotemporal variation analysis of the SWAs was carried out for the NYPLs from 1988 to 2021. Finally, the correlations between the SWA changes in each lake, climatic factors and human activities were analysed. We found that the total SWAs of the NYPL have remained stable over the past 30 years, reaching a maximum of 1,012.51 km2 in 2000 and a minimum of 972.94 km2 in 2015. From 1988 to 2015, the overall SWAs of the NYPLs fluctuated steadily within 1%. However, Lakes Qilu and Yilong shrunk significantly in 2015. Generally, the SWAs of the NYPLs during the rainy season were larger than during the dry season; however, there were some differences between each period. The seasonal change in the SWAs was approximately 10 km2 in 1991, 1994, and 2003, but was relatively less in other years. Precipitation was a direct factor, whereas temperature and evaporation were indirect factors influencing the intra- and inter-annual SWAs of the NYPLs. The changes in the SWAs of the NYPLs were consistent with the precipitation trend and were negatively correlated with changes in temperature and evaporation. Evaporation had more of an influence on shallow lakes than on deep-water lakes. Human activities led to significant changes in individual lakes (such as lakes Dianchi, Yilong, and Qilu). The NYPLs had a spatially heterogeneous response to regional climate change caused by both global climate change and human activities. The results of this study can provide a data reference and decision support for the scientific management of the ecological environment of the Yunnan Plateau lakes.