Eco-environmental water requirements in Shuangtaizi Estuary Wetland based on multi-source remote sensing data

被引:1
|
作者
Cheng, Qian [1 ]
Zhou, Lin Fei [1 ]
Wang, Tie liang [1 ]
机构
[1] Shenyang Agr univ, Coll Water Conservancy, Shenyang 110866, Liaoning, Peoples R China
关键词
ecological water requirement; minimum ecological water requirement; optimum ecological water requirement; wetlands; EVAPOTRANSPIRATION; RIVER; GULF;
D O I
10.2166/wcc.2018.050
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
With rapid economic development and expansion of urban boundaries, increasingly damaged wetland resources have seriously threatened the ecosystem. The study of eco-environmental requirements of wetlands is not only the basis of water resources allocation in development and utilization, but also for creating a sustainable system to maintain and improve the overall ecosystem. In this study, we used the Shuangtaizi Estuary Wetland as our study area. The breakdown of wetland cover types was extracted based on multi-source remote sensing data, providing the graphic database for ecological water requirement calculation. According to the characteristics of the Shuangtaizi Estuary Wetland ecosystem, the methods of quantifying the components of ecological water requirements were determined. The results showed that the optimum ecological water requirement of the total wetland was 239 million m(3). The minimum, 75th percentile frequency, and 95th percentile frequency water requirements were 670 million m(3), 921 million m(3), and 1,078 million m(3), respectively.
引用
收藏
页码:338 / 346
页数:9
相关论文
共 50 条
  • [1] The Study of Quantitative Assessment of Regional Eco-environmental Vulnerability Based on Multi-source Remote Sensing
    Wu Xu
    He Binbin
    Kan Aike
    Cirenluobu
    Yang Xiao
    [J]. 2017 3RD INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND MATERIALS SCIENCE (EEMS 2017), 2017, 94
  • [2] Historical Eco-Environmental Quality Mapping in China with Multi-Source Data Fusion
    Wu, Shaoteng
    Cao, Lei
    Xu, Dong
    Zhao, Caiyu
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (14):
  • [3] Extraction of marsh wetland in Heilongjiang Basin based on GEE and multi-source remote sensing data
    Ning, Xiaogang
    Chang, Wentao
    Wang, Hao
    Zhang, Hanchao
    Zhu, Qiande
    [J]. National Remote Sensing Bulletin, 2022, 26 (02): : 386 - 396
  • [4] Evaluation of eco-environmental quality for the coal-mining region using multi-source data
    Jiang, Huan
    Fan, Gangwei
    Zhang, Dongsheng
    Zhang, Shizhong
    Fan, Yibo
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)
  • [5] Evaluation of eco-environmental quality for the coal-mining region using multi-source data
    Huan Jiang
    Gangwei Fan
    Dongsheng Zhang
    Shizhong Zhang
    Yibo Fan
    [J]. Scientific Reports, 12
  • [6] Analysis of irrigation water based on multi-source remote sensing data and water balance principle
    Lu, Shihui
    Zhao, Hongli
    Jiang, Yunzhong
    Hao, Zhen
    Zhang, Xiangming
    Chen, Genfa
    [J]. Shuili Xuebao/Journal of Hydraulic Engineering, 2021, 52 (09): : 1126 - 1135
  • [7] Wetland mapping in the Liaohe River Estuary using multi-source remote sensing image feature selection
    He, Jinjie
    Wang, Chang
    Han, Ying
    Zhang, Wen
    Wang, Xu
    Li, Yuxiang
    Guo, Li
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2024, 45 (18) : 6624 - 6650
  • [8] Eco-environmental Water Requirements Based on Support Vector Machine for the Seashore Region in Yellow River Estuary
    Bing, Shi
    Xuirong, Wang
    [J]. PROCEEDINGS OF THE 3RD INTERNATIONAL YELLOW RIVER FORUM ON SUSTAINABLE WATER RESOURCES MANAGEMENT AND DELTA ECOSYSTEM MAINTENANCE, VOL III, 2007, : 323 - 329
  • [9] Eco-environmental Quality Assessment of Dagu River Estuary Wetland based on RS Images
    Fu Hui
    Sun Yinglan
    Liu Xiao-dan
    [J]. ADVANCES IN MANAGEMENT OF TECHNOLOGY, PT 2, 2008, : 178 - +
  • [10] Urban water extraction based on multi-source remote sensing images
    Fan, Yuancheng
    Zhou, Tinggang
    Li, Chengfan
    [J]. EPLWW3S 2011: 2011 INTERNATIONAL CONFERENCE ON ECOLOGICAL PROTECTION OF LAKES-WETLANDS-WATERSHED AND APPLICATION OF 3S TECHNOLOGY, VOL 3, 2011, : 312 - 315