近几十年来,土地利用不当给咸海地区的地表水带来了巨大的压力。脆弱的生态环境严重阻碍了绿色丝绸之路经济带的建设。因此,监测咸海地区地表水的变化对环境保护和社会发展具有重要意义。
在这项研究中,在Landsat时间序列数据上使用LandTrendr算法来表征GoogleEarthEngine平台上农田的变化。基于多源数据,咸海的水域面积变化是基于谷歌地球引擎提取的,并利用均值法提取水位和储水量的变化。最后,利用水-农田耦合度模型评价了咸海地区农田变化对地表水的影响。
结果,农田变化情况如下:1987-2019年咸海地区农田面积废弃3129km2,总体准确率为85.3%。农田的变化增加了阿姆河和SyrDarya河下游的排水。它导致咸海的面积每年持续减少。从1987年到2019年,咸海的面积每年减少1,606.36平方公里。此外,从2003年到2009年,咸海的水位每年下降0.13m。咸海地区的蓄水量从2002年到2016年也呈下降趋势。地表水与农田之间存在0.903的优质耦合协调关系。农田废弃造成的水资源流失会给人们的正常日常生活增加用水负担。这项研究强调了不合理的农田管理对咸海地区地表水的威胁。研究结果有助于决策者制定有效的合理政策来保护咸海地区的地表水和土地使用。同时,耦合度模型的应用可以为研究农田中独立系统的联系提供一种新的方法,水,环境和更多。
The improper land utilization has brought tremendous pressure on the surface water of the Aral Sea Region in the past decades. It was seriously hindered for construction of the Green Silk Road Economic Belt by the fragile environment. Therefore, it is of great necessity for environmental protection and social development to monitor the change of surface water in the Aral Sea Region.
In this study, LandTrendr algorithm was used on Landsat time-series data to characterize the change in farmland on the Google Earth Engine platform. Based on multi-source data, the water area changes of the Aral Sea were extracted based on the Google Earth Engine, and the mean method was utilized to extract the changes in water level and water storage. Finally, a water-farmland coupling degree model was utilized to evaluate the impact of farmland changes on the surface water in the Aral Sea Region.
As a result, the change of farmland is as follows: the farmland area of the Aral Sea Region has abandoned 3,129 km2 from 1987 to 2019, with overall accuracy of 85.3%. The farmland change had increased the drainage downstream of the Amu Darya River and the Syr Darya River. It has led area of the Aral Sea to decrease each year continuously. The area of the Aral Sea shrank by 1,606.36 km2 per year from 1987 to 2019. Furthermore, Aral Sea\'s water level decreased by 0.13 m per year from 2003 to 2009. The amount of water storage in the Aral Sea Region also showed a downward trend from 2002 to 2016. There was a high-quality coupling coordination 0.903 relationship between surface water and farmland. It will increase the burden of water for people\'s normal daily life by the water loss resources caused by abandoned farmland. This study emphasized threat of unreasonable farmland management to surface water of the Aral Sea Region. The findings contributed for decision makers to formulating effective reasonable policies to protect surface water and use land of the Aral Sea Region. Meanwhile, the application of coupling degree model can provide a new method for studying the connection of independent systems in the farmland, water, environment and more.