Development of Soil and Water Assessment Tool Model on Human Water Use and Application in the Area of High Human Activities, Tianjin, China

Sang, Xuefeng; Zhou, Zuhao; Wang, Hao; Du, Qin; Zhai, Zhe; Chen, Qiang

doi:10.1061/(asce)ir.1943-4774.0000115

Cited by 11 publications

(8 citation statements)

References 15 publications

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“…In this study, the General Water Allocation and Simulation model (GWAS) is used for water resources planning and management, which is further developed from the Water resources Allocation and Simulation model (WAS) (Sang et al, 2019(Sang et al, , 2018. GWAS takes into account multi-objective problems such as regional water use and drain, reservoir operation, power generation, ecological flow, and characteristics of different economic sectors (Sang et al, 2010;Wang et al, 2014;Yan et al, 2020aYan et al, ,b, 2018Zhai et al, 2017). With the help of two algorithms (the rule algorithm and NSGA-II algorithm) and multi-objective calculation scheme, this model can dynamically simulate the "natural-artificial" water cycle influenced by nature and human beings (see Figure 4.…”

Section: Water Allocation and Simulationmentioning

confidence: 99%

Water Allocation Management Under Scarcity: A Bankruptcy Approach

Zheng

Sang

Liu

et al. 2022

Preprint

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This study hopes to develop multi-criteria decision making (MCDM) method for equitable and efficient allocation water resource under scarcity. Based on the Bankruptcy problems, five classic plus one proposed allocation rules are introduced to generate water distribution alternatives. The "Core" solution of Cooperative Game Theory (CGT) and Security Restriction have been used to select the feasible alternatives. Additionally, five voting methods in Social Choice Theory (SCT) are launched to aggregate preferences and obtain "win" alternative. Apply this model on 2030 water allocation management project of Ezhou City, China, as a case study. Under the proposed rule, adjust minimal overlap rule (AMO), five regions, Urban Area, Gedian DZ and three counties, hold the water deficit rate of 5.9%, 15.8% and 4.7%-6.1%, respectively. By voting technique, AMO wins four fifths of aggregating processes and came in the second for the last, which provides some insights for allocating water in a fair and feasible way.

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Section: Water Allocation and Simulationmentioning

confidence: 99%

Water Allocation Management Under Scarcity: A Bankruptcy Approach

Zheng

Sang

Liu

et al. 2022

Preprint

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“…There are several methods for calculating the ecological flow in a river, such as the 7Q10 method (Singh and Stall, 1974), the wetted perimeter method (Gippel and Stewardson, 1998), the R2CROSS method (Gregoiy, 1996), IFIM (Gore and Nestler, 1988), and the Tennant method (Tennant, 1976). Based on previous studies that considered the ecological water requirements of Shenzhen, the Tennant method is used to determine the minimum ecological flow requirements.…”

Section: Ecological Flow Requirementsmentioning

confidence: 99%

Water replenishment for ecological flow with E-WAS framework: a case study of the Longgang River Basin, Shenzhen, China

et al. 2020

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Abstract. With rapid urbanization, there will be more conflict between human systems and the riverine ecological system, and therefore, ecological operations, practices and research must involve the ecological water replenishment of entire river basins with new modeling tools. In this study, we establish an ecological flow-oriented water resource allocation and simulation framework (E-WAS). Virtual reservoirs and ecological units are added to the water resources network. With new water balance equations for virtual reservoirs and ecological units, the E-WAS can simulate the ecological replenishment process in a river basin and can provide a recommended water replenishment scheme that considers optimization principles. The E-WAS was applied in the Longgang River Basin, Shenzhen, China. 17 ecological units and 45 water supply nodes are considered in the model. A water replenishment scheme that used water from 31 reservoirs and reclaimed water from 7 water sewage plants was selected. This scheme significantly increased the satisfactory degree of ecological water demand and efficiently supported the formulation of a control scheme for the water environment of a basin. The E-WAS framework is similar to model plug-ins but helps to avoid the large workload that is required for model redevelopment and can expand the functions of models quickly.

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“…To ensure the lit pixel is still the lit pixel and is not the negative value after inter-annual calibration, the constant c in Equation 1 was set as 0. Then the model for the inter-annual calibration was changed to Equation (2).…”

Section: Inter-annual Calibrationmentioning

confidence: 99%

“…As the largest developing country, China has undergone a period of rapid development in the last thirty years. During this period, the relationships between human activities (including expansion of urban areas, economies, and populations) and environmental change have gradually intensified, and an increasing number of studies have focused on this problem [2,3]. GDP data is an important index of human economic activities that is utilized in many studies related to regional planning and development, resources and environmental protection, and sustainable development [4].…”

Section: Introductionmentioning

confidence: 99%

Coupling an Intercalibration of Radiance-Calibrated Nighttime Light Images and Land Use/Cover Data for Modeling and Analyzing the Distribution of GDP in Guangdong, China

Cao

Kuang

et al. 2016

Sustainability

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Spatialized GDP data is important for studying the relationships between human activities and environmental changes. Rapid and accurate acquisition of these datasets are therefore a significant area of study. Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) radiance-calibrated nighttime light (RC NTL) images exhibit the potential for providing superior estimates for GDP spatialization, as they are not restricted by the saturated pixels which exist in nighttime stable light (NSL) images. However, the drawback of light overflow is the limited accuracy of GDP estimation, and GDP data estimations based on RC NTL images cannot be directly used for temporal analysis due to a lack of on-board calibration. This study develops an intercalibration method to address the comparability problem. Additionally, NDVI images are used to reduce the light overflow effect. In this way, the secondary and tertiary industry outputs are estimated by using intercalibrated RC NTL images. Primary industry production is estimated by using land use/cover data. Ultimately, four 1 km gridded GDP maps of Guangdong for 2000, 2004, 2006 and 2010 are generated. The verification results of the proposed intercalibration method demonstrate that this method is reasonable and can be effectively implemented. These maps can be used to analyze the distribution and spatiotemporal changes of GDP density in Guangdong.

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Development of Soil and Water Assessment Tool Model on Human Water Use and Application in the Area of High Human Activities, Tianjin, China

Cited by 11 publications

References 15 publications

Water Allocation Management Under Scarcity: A Bankruptcy Approach

Water Allocation Management Under Scarcity: A Bankruptcy Approach

Water replenishment for ecological flow with E-WAS framework: a case study of the Longgang River Basin, Shenzhen, China

Coupling an Intercalibration of Radiance-Calibrated Nighttime Light Images and Land Use/Cover Data for Modeling and Analyzing the Distribution of GDP in Guangdong, China

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