Monitoring water clarity of lakes in the Middle-Lower Yangtze Plain using Landsat observations (1984-2023)

被引:1
作者
Chen, Miaomiao [1 ,2 ]
Xiao, Fei [1 ]
Wang, Zhou [1 ,2 ]
Zhou, Yadong [1 ]
Shen, Wangzheng [1 ,2 ]
Feng, Qi [1 ]
Li, Enhua [1 ]
Du, Yun [1 ]
机构
[1] Chinese Acad Sci, Innovat Acad Precis Measurement Sci & Technol, Key Lab Environm & Disaster Monitoring & Evaluat, Wuhan 430077, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
关键词
Water clarity; Lakes; the Middle-Lower Yangtze Plain; Landsat imagery; QUASI-ANALYTICAL ALGORITHM; LONG-TERM MODIS; OPTICAL-PROPERTIES; SHALLOW LAKES; LOWER REACHES; OCEAN COLOR; QUALITY; RIVER; CHINA; DOWNSTREAM;
D O I
10.1016/j.ecolind.2024.112825
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Using the improved Quasi-Analytical Algorithm (QAA) and Landsat data, we documented the long-term changes in water clarity of the 17 largest lakes in the Middle-Lower Yangtze Plain from 1984 to 2023. A comprehensive dataset with over 4600 water clarity maps, reconstructed from 2511 Landsat series images, was compiled. The water clarity changes of these 17 lakes have a clear seasonal variation pattern, with the highest in summer and the lowest in winter. Over the past 40 years, water clarity of 59 % lakes shows a downward trend, with Junshan Lake showing the highest decrease rate of -0.0231 m/yr. 41 % lakes water clarity are showing an upward trend. From 1984 to 1990, the highest average ZSD (Secchi disk depth) values were recorded in Changhu Lake, Junshan Lake, Honghu Lake, Futou Lake, and Gehu Lake. These lakes, however, experienced the most significant declines compared to period from 2021 to 2023. Chaohu Lake, Taihu Lake, Caizi Lake, and Nanyi Lake, which had the lowest average ZSD during 1984-1990, showed the most substantial increases. Analyzing the monthly distribution of water level and ZSD data reveals that water clarity exhibits different seasonal variations in relation to water levels. The comprehensive dataset and analysis provide a crucial scientific basis for informed water resource management and policy-making in the region.
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页数:11
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共 102 条
  • [1] Overview of the Application of Remote Sensing in Effective Monitoring of Water Quality Parameters
    Adjovu, Godson Ebenezer
    Stephen, Haroon
    James, David
    Ahmad, Sajjad
    [J]. REMOTE SENSING, 2023, 15 (07)
  • [2] Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
  • [3] Bhunia G.S., 2021, Modern Cartography Series, V10, P1, DOI DOI 10.1016/B978-0-12-823895-0.00020-8
  • [4] Seasonal changes of mechanisms maintaining clear water in a shallow lake with abundant Chara vegetation
    Blindow, I
    Hargeby, A
    Andersson, G
    [J]. AQUATIC BOTANY, 2002, 72 (3-4) : 315 - 334
  • [5] Cai Yongjiu, 2015, Hupo Kexue, V27, P76
  • [6] Climate- and human-induced changes in suspended particulate matter over Lake Hongze on short and long timescales
    Cao, Zhigang
    Duan, Hongtao
    Feng, Lian
    Ma, Ronghua
    Xue, Kun
    [J]. REMOTE SENSING OF ENVIRONMENT, 2017, 192 : 98 - 113
  • [7] A novel index for assessing the water quality of urban landscape lakes based on water transparency
    Chang, Nini
    Luo, Li
    Wang, Xiaochang C.
    Song, Jia
    Han, Jiaxing
    Ao, Dong
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 735
  • [8] Remote Sensing Big Data for Water Environment Monitoring: Current Status, Challenges, and Future Prospects
    Chen, Jinyue
    Chen, Shuisen
    Fu, Rao
    Li, Dan
    Jiang, Hao
    Wang, Chongyang
    Peng, Yongshi
    Jia, Kai
    Hicks, Brendan J.
    [J]. EARTHS FUTURE, 2022, 10 (02)
  • [9] An Improved QAA-Based Method for Monitoring Water Clarity of Honghu Lake Using Landsat TM, ETM plus and OLI Data
    Chen, Miaomiao
    Xiao, Fei
    Wang, Zhou
    Feng, Qi
    Ban, Xuan
    Zhou, Yadong
    Hu, Zhengzheng
    [J]. REMOTE SENSING, 2022, 14 (15)
  • [10] Temporal trends and source apportionment of water pollution in Honghu Lake, China
    Chen, Shuai
    Wang, Simeng
    Yu, Yanxi
    Dong, Mingjun
    Li, Yanqiang
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (42) : 60130 - 60144