2022年强高温期长江中游通江湖泊干旱数据集

A dataset of Yangtze River-connected arid lake bodies in the middle reaches of the Yangtze River during extremely high temperatures in 2022

全球气候变暖趋势下,2022年夏季我国长江流域受气候异常影响,出现自1961年有完整气象观测记录以来的最强高温过程,导致长江支流水位持续走低,受气候影响明显的长江中游通江湖泊鄱阳湖、洞庭湖出现了“汛期反枯”的罕见现象。湖泊是全球气候变化的指示器,湖泊水体面积变化成为区域生态环境和气候变化的敏感指标之一。本研究利用GEE云计算平台调用Sentienl-1 SAR数据计算双极化水体指数SDWI,通过OTSU算法计算最佳阈值,获得了2022年强高温期间长江中游鄱阳湖、洞庭湖及周边地区10 m分辨率的水体变化监测数据,数据总体精度达96%以上。本数据集包含2022年强高温期间长江中下游主要水体的干旱时空变化信息,为极端天气湖泊水资源可持续利用等研究提供数据支撑,也为全球气候变化与湖泊生态演化等研究提供数据支撑与科学依据。

Due to global warming and climate change,affected by climate anomalies,Yangtze River basin in China experienced the strongest high-temperature process since the complete meteorological observation records in 1961.This process led to the continuous low water level of Yangtze River tributaries and the rare phenomenon of"anti-depletion of flood season"in Poyang Lake and Dongting Lake,both of which were influenced by this climate event.Lakes are indicators of global climate change,and water area changes in lakes have become one of the sensitive indicators of regional ecological environment and climate change.In this study,we used the GEE cloud computing platform to call Sentienl-1 SAR data to calculate the sentinel-1 dual-polarized water index(SDWI).Then,we determined the optimal threshold value using the OTSU algorithm to obtain the final water change monitoring data at 10m resolution for the main body of Poyang Lake,Dongting Lake and their surrounding areas during extremely high temperatures in 2022.This dataset has been validated to with an overall accuracy of over 96%and a Kappa coefficient of 0.92.The dataset includes spatiotemporal variations in arid water bodies in the middle and lower reaches of the Yangtze River during extremely high temperatures in 2022.The dataset can offer data support and serve as a scientific foundation for sustainable lake water resources during extreme weather events,as well as for research on global climate change and the ecological evolution of lakes.