Monitoring Surface Water Area Changes in the Aral Sea Basin Using the Google Earth Engine Cloud Platform

被引:4
|
作者
Huang, Shuangyan [1 ,2 ,3 ,4 ,5 ,6 ]
Chen, Xi [1 ,2 ,3 ,5 ,6 ]
Ma, Xiaoting [1 ,3 ]
Fang, Hui [1 ,2 ]
Liu, Tie [1 ,2 ,3 ,5 ,6 ]
Kurban, Alishir [1 ,2 ,3 ,5 ,6 ]
Guo, Jianan [1 ,2 ]
De Maeyer, Philippe [4 ,5 ,6 ]
van de Voorde, Tim [4 ,5 ,6 ]
机构
[1] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
[2] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] Univ Ghent, Dept Geog, B-9000 Ghent, Belgium
[5] Sino Belgian Joint Lab Geoinformat, Urumqi 830011, Peoples R China
[6] Sino Belgian Joint Lab Geoinformat, B-9000 Ghent, Belgium
基金
中国国家自然科学基金;
关键词
lakes and reservoirs; surface water area; permanent and seasonal; Aral Sea Basin; Google Earth Engine; RESERVOIRS; LAKES; STORAGE; MANAGEMENT; RIVER; DAMS; ASIA;
D O I
10.3390/w15091729
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The surface water area and types in the Aral Sea Basin (ASB) have undergone extensive changes due to the impacts of climate change and anthropogenic activities. This study explores the changes in the surface water area in the ASB based on the Google Earth Engine cloud platform. Then, we integrate multi-source data to identify 1559 lakes and 196 reservoirs from the Joint Research Centre Global Surface Water (JRC GSW) dataset. Our results indicate that the lake area (34,999.61 km(2)) is about 10 times that of the reservoir area (3879.08 km(2)) in the ASB. The total area of surface water in the ASB decreased by 23,194.35 km(2) or 34.58% from 1992 to 2020. Specifically, the areas of permanent water shrunk at a rate of 1278.6 km(2)/year, while the areas of seasonal water increased at a rate of 522.5 km(2)/year. The proportion of lakes and reservoirs in the total surface water has decreased from 79.33% (during 1992-2000) to 75.21% (during 2000-2010) to 63.94% (during 2010-2020). The water that should have flowed into the Aral Sea to maintain its permanent water may have been converted into two parts. Part of it might continue to be permanent water but show up in other regions, while part of it might convert to seasonal water (especially in the Aral Sea itself and the ASB plain area). Our study bridges the limitations of previous studies that have ignored seasonal water change and builds a water area list for 1755 lakes/reservoirs (=0.1 km(2)) for the first time. The results can serve as important knowledge for water resource management and sustainable river basin development in ASB.
引用
收藏
页数:22
相关论文
共 50 条
  • [1] Long-Term Changes of Open-Surface Water Bodies in the Yangtze River Basin Based on the Google Earth Engine Cloud Platform
    Deng, Yue
    Jiang, Weiguo
    Tang, Zhenghong
    Ling, Ziyan
    Wu, Zhifeng
    [J]. REMOTE SENSING, 2019, 11 (19)
  • [2] Changes in extent of open-surface water bodies in China's Yellow River Basin (2000-2020) using Google Earth Engine cloud platform
    Cao, Hongye
    Han, Ling
    Li, Liangzhi
    [J]. ANTHROPOCENE, 2022, 39
  • [3] CLOUD DETECTION ON THE GOOGLE EARTH ENGINE PLATFORM
    Mateo-Garcia, Gonzalo
    Munoz-Mari, Jordi
    Gomez-Chova, Luis
    [J]. 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 1942 - 1945
  • [4] Changes in Water Surface Area during 1989-2017 in the Huai River Basin using Landsat Data and Google Earth Engine
    Xia, Haoming
    Zhao, Jinyu
    Qin, Yaochen
    Yang, Jia
    Cui, Yaoping
    Song, Hongquan
    Ma, Liqun
    Jin, Ning
    Meng, Qingmin
    [J]. REMOTE SENSING, 2019, 11 (15)
  • [5] Historical and Operational Monitoring of Surface Sediments in the Lower Mekong Basin Using Landsat and Google Earth Engine Cloud Computing
    Markert, Kel N.
    Schmidt, Calla M.
    Griffin, Robert E.
    Flores, Africa I.
    Poortinga, Ate
    Saah, David S.
    Muench, Rebekke E.
    Clinton, Nicholas E.
    Chishtie, Farrukh
    Kityuttachai, Kritsana
    Someth, Paradis
    Anderson, Eric R.
    Aekakkararungroj, Aekkapol
    Ganz, David J.
    [J]. REMOTE SENSING, 2018, 10 (06)
  • [6] Google earth engine application for estimating changes in water surface area of Lake Toba
    Aziz, F.
    Kusratmoko, E.
    Manessa, M. D. M.
    [J]. FIFTH INTERNATIONAL CONFERENCES OF INDONESIAN SOCIETY FOR REMOTE SENSING: THE REVOLUTION OF EARTH OBSERVATION FOR A BETTER HUMAN LIFE, 2020, 500
  • [7] Monitoring the surface area of the subtropical wetlands of northeastern Argentina using the Google Earth Engine
    Smichowski, Humberto
    Ignacio Contreras, Felix
    Carolina Giese, Adriana
    [J]. INVESTIGACIONES GEOGRAFICAS-SPAIN, 2022, (78): : 131 - 152
  • [8] Research of Water-related Disaster Monitoring Using Satellite Bigdata Based on Google Earth Engine Cloud Computing Platform
    Park, Jongsoo
    Kang, Ki-mook
    [J]. KOREAN JOURNAL OF REMOTE SENSING, 2022, 38 (6-3) : 1761 - 1775
  • [9] Flood monitoring in Santa Fe using the Google Earth Engine platform
    Walker, Elisabet
    Fonnegra Mora, Diana Carolina
    Venturini, Virginia
    [J]. 2021 XIX WORKSHOP ON INFORMATION PROCESSING AND CONTROL (RPIC), 2021,
  • [10] Continuous Monitoring of the Surface Water Area in the Yellow River Basin during 1986-2019 Using Available Landsat Imagery and the Google Earth Engine
    Hu, Qingfeng
    Li, Chongwei
    Wang, Zhihui
    Liu, Yang
    Liu, Wenkai
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 11 (05)