A new method for describing the inundation status of floodplain wetland

被引:10
作者
Dong, Xi [1 ,2 ]
Hu, Chunming [1 ]
机构
[1] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
[2] Beijing Forestry Univ, Sch Informat Sci & Technol, Beijing 100083, Peoples R China
关键词
Yimin River; River floodplain wetlands; Runoff; Water inundate guarantee rate; Remote sensing; SURFACE-WATER; HYDROLOGICAL REGIME; MACQUARIE MARSHES; RIVER; VEGETATION; DYNAMICS; CONNECTIVITY; IMPACT; INDEX;
D O I
10.1016/j.ecolind.2021.108144
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
The inundation state is one of the main factors affecting the development of river floodplain wetlands, and the water inundate frequency (WIF) is a commonly used characterisation tool. This study combines remote sensing data with ground hydrological observation data to propose the water inundate guarantee rate (WIGR) as a new tool to characterise the inundation probability in river floodplain areas. It further conducts a comparative study between WIGR and WIF in the Yimin River, located in China's Inner Mongolia Autonomous Region. The results show that the inundation state maps of the study area are generally consistent using WIF and WIGR. However, there are observed differences in specific regions. In regions with very low assurance rates, it covers a larger area of 2.90 km(2) using WIGR relative to WIF. Meanwhile, The area of other low, medium, high and very high areas is relatively lower. The reason for the difference is that the selected 52 phase remote sensing data corresponds to a low flow guarantee rate, which is generally medium and high. Further, the flow guarantee rate introduced in the WIGR analysis process plays a corrective role in the final analysis results. Compared with WIF, the WIGR algorithm is systematic, continuous, and has certain statistical significance, which has higher scientific credibility and accuracy. Specifically, the simple operation of the WIGR algorithm shows great potential to be applied to other related studies. Nevertheless, further improvement of the WIGR algorithm should focus on the influence of the atmospheric environment on remote sensing data and the acquisition of hydrological data. The WIGR proposed in this study can provide technical support for the conservation of river floodplain wetlands and open new ideas for studying river floodplain wetland ecosystems.
引用
收藏
页数:9
相关论文
共 48 条
  • [21] Monitoring hydrological drought using long-term satellite-based precipitation data
    Lai, Chengguang
    Zhong, Ruida
    Wang, Zhaoli
    Wu, Xiaoqing
    Chen, Xiaohong
    Wang, Peng
    Lian, Yanqing
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 649 : 1198 - 1208
  • [22] Effects of dams decrease zooplankton functional -diversity in river-associated lakes
    Magalhaes Braghin, Louizi de Souza
    Almeida, Bia de Arruda
    Amaral, Diogo Castanho
    Canella, Tassia Felicio
    Garcia Gimenez, Barbara Carolina
    Bonecker, Claudia Costa
    [J]. FRESHWATER BIOLOGY, 2018, 63 (07) : 721 - 730
  • [23] Flood Exposure Affects Long-Term Tree Survival in Compensatory Mitigation Wetlands
    Matthews, Jeffrey W.
    Pociask, Geoffrey E.
    Price, Edward P. F.
    Krzywicka, Adrianna E.
    [J]. WETLANDS, 2019, 39 (05) : 1129 - 1138
  • [24] The use of the normalized difference water index (NDWI) in the delineation of open water features
    McFeeters, SK
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1996, 17 (07) : 1425 - 1432
  • [25] Assessing the fluvial system resilience of the river Bacchiglione to point sources of pollution in Northeast Italy: a novel Water Resilience Index (WRI) approach
    Mirauda, Domenica
    Caniani, Donatella
    Colucci, Maria Teresa
    Ostoich, Marco
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (27) : 36775 - 36792
  • [26] Mitsch W.J., 2010, Ecol. Restor.: A Global Challenge, V10, P175
  • [27] Urban expansion and wetland shrinkage estimation using a GIS-based model in the East Kolkata Wetland, India
    Mondal, Biswajit
    Dolui, Gour
    Pramanik, Malay
    Maity, Santu
    Biswas, Sumantra Sarathi
    Pal, Raghunath
    [J]. ECOLOGICAL INDICATORS, 2017, 83 : 62 - 73
  • [28] Monitoring dual-season hydrological dynamics of seasonally flooded wetlands in the lower reach of Mayurakshi River, Eastern India
    Mondal, Debabrata
    Pal, Swades
    [J]. GEOCARTO INTERNATIONAL, 2018, 33 (03) : 225 - 239
  • [29] Wetland habitat stability assessment in hydro-geomorphological (HGM) and surface water availability (SWA) conditions in a lower Gangetic floodplain region of Eastern India
    Mukherjee, Kaustuv
    [J]. ECOLOGICAL INDICATORS, 2020, 119
  • [30] Disaggregating Hydroperiod: Components of the Seasonal Flood Pulse as Drivers of Plant Species Distribution in Floodplains of a Tropical Wetland
    Murray-Hudson, Michael
    Wolski, Piotr
    Murray-Hudson, Frances
    Brown, Mark T.
    Kashe, Keotshephile
    [J]. WETLANDS, 2014, 34 (05) : 927 - 942