Study on Ecological Water Requirement of Vegetation in Wuhai Based on GIS

Instream ecological flow is an essential determinant of river health. Intra- and interannual distribution characteristics of runoff have been altered to different degrees by dam construction. Historical runoff series with alterations, as basic data for ecological flow calculation, provide minimal instream hydrological process information, which affects the credibility of calculation results. Considering the influence of the alterations in runoff series on ecological flow calculation, the Gini coefficient (GI) is introduced to study the evenness degrees of the intra-annual runoff distribution of four hydrological stations located in the Naolihe basin of the Sanjiang Plain. The hydrological alteration diagnosis system is used to examine the alteration points in the GI series of each hydrological station for selecting reasonable subsequences. Based on the selected subsequences, the ecological flow of each station is calculated using three hydrological methods, and the comprehensive ecological flow is calculated using weighted calculation results from the three hydrological methods. The study results show that ecological flow and natural flow have similar processes with two peaks occurring in the process in May and August, respectively. Also, dams decrease the ecological water requirement damage frequency in dry seasons, but overuse of water resources increases the ecological water requirement damage frequency in flood seasons.

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Stochastic optimization model for water allocation on a watershed scale considering wetland’s ecological water requirement

Ecological Indicators ◽

10.1016/j.ecolind.2017.02.019 ◽

2018 ◽

Vol 92 ◽

pp. 330-341 ◽

Cited By ~ 8

Author(s):

Ye Xu ◽

Yu Wang ◽

Sha Li ◽

Guohe Huang ◽

Chao Dai

Keyword(s):

Stochastic Optimization ◽

Optimization Model ◽

Water Allocation ◽

Water Requirement ◽

Watershed Scale ◽

Ecological Water Requirement

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

Journal of Water and Climate Change ◽

10.2166/wcc.2018.050 ◽

2018 ◽

Vol 9 (2) ◽

pp. 338-346

Author(s):

Qian Cheng ◽

Lin fei Zhou ◽

Tie liang Wang

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Environmental Water ◽

Water Requirement ◽

Water Requirements ◽

Sensing Data ◽

Ecological Water Requirement ◽

Development And Utilization ◽

Environmental Requirements ◽

Wetland Resources

Abstract 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 m3. The minimum, 75th percentile frequency, and 95th percentile frequency water requirements were 670 million m3, 921 million m3, and 1,078 million m3, respectively.

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