Simulation and optimization of water supply and demand balance in Shenzhen: A system dynamics approach

2019 ◽  
Vol 207 ◽  
pp. 882-893 ◽  
Author(s):  
Tianhong Li ◽  
Songnan Yang ◽  
Mingxin Tan
Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1085 ◽  
Author(s):  
Boyang Sun ◽  
Xiaohua Yang

In order to comprehensively evaluate the water resources carrying capacity in Xiong’an New Area, a system dynamics (SD) model was established to evaluate the regional water resources carrying capacity, for which several scenarios were designed: the original development scenario, the accelerated industrialization scenario, the environmental governance scenario, and the optimization development scenario. The results show that, compared with the original development scenario, the water resources carrying capacity in Xiong’an New Area can be improved in other scenarios, but a water supply and demand gap will be generated due to the lack of groundwater overdraft and a water transfer project. In 2026, under the accelerated industrialization scenario, the population carrying capacity will be 2.652 million, and the water supply and demand gap will be 1.13 × 108 m3; under the environmental governance scenario, the population carrying capacity will be 2.36 million, and the water supply and demand gap will be 0.44 × 108 m3; under the optimal development scenario, the population carrying capacity will be 2.654 million, and since the supply of water resources will be greater than the demand, there will not be a gap between supply and demand, making it the most feasible scenario to effectively alleviate the tension between industry restructuring, environmental management, and water resources development and utilization. The findings of this study can provide reference and decision support for optimizing regional water resources allocation and enhancing water resources carrying capacity in Xiong’an New Area.


Water Policy ◽  
2011 ◽  
Vol 14 (2) ◽  
pp. 214-231 ◽  
Author(s):  
Huanhuan Qin ◽  
Amy Cha-tien Sun ◽  
Jie Liu ◽  
Chunmiao Zheng

Water resource carrying capacity (WRCC) is an important metric for regional sustainable development in China. It is defined as the difference between the total water supply and demand. The North China Plain (NCP) currently faces a serious water shortage if the WRCC is not managed at a sustainable level. This study focuses on applying system dynamics (SD) methodology to evaluate different water use scenarios and their associated WRCC for the NCP. System characteristics of local water resources and demand in the NCP are captured and simulated using VENSIM® software. A SD model of the WRCC is constructed which consists of five sub-systems: agricultural irrigation, population growth, urbanization level, water recycle and industrial output. The impact on the WRCC is tested through three growth scenarios: keeping the status quo, aggressive industrial growth and modest growth combined with wastewater recycle. Based on the simulation results, the WRCC that can most likely sustain economic growth without overly stressing the water supply is the one with modest growth combined with wastewater recycle.


2020 ◽  
Vol 17 (6) ◽  
pp. 512-524
Author(s):  
Longxi Luo ◽  
Jianping Wu ◽  
Hongchang Hu ◽  
Yun Chen ◽  
Zhe Xu

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1522 ◽  
Author(s):  
Hadi Heidari ◽  
Mazdak Arabi ◽  
Mahshid Ghanbari ◽  
Travis Warziniack

Changes in climate, land use, and population can increase annual and interannual variability of socioeconomic droughts in water-scarce regions. This study develops a probabilistic approach to improve characterization of sub-annual socioeconomic drought intensity-duration-frequency (IDF) relationships under shifts in water supply and demand conditions. A mixture Gamma-Generalized Pareto (Gamma-GPD) model is proposed to enhance characterization of both the non-extreme and extreme socioeconomic droughts. Subsequently, the mixture model is used to determine sub-annual socioeconomic drought intensity-duration-frequency (IDF) relationships, return period, amplification factor, and drought risk. The application of the framework is demonstrated for the City of Fort Collins (Colorado, USA) water supply system. The water demand and supply time series for the 1985–2065 are estimated using the Integrated Urban water Model (IUWM) and the Soil and Water Assessment Tool (SWAT), respectively, with climate forcing from statistically downscaled CMIP5 projections. The results from the case study indicate that the mixture model leads to enhanced estimation of sub-annual socioeconomic drought frequencies, particularly for extreme events. The probabilistic approach presented in this study provides a procedure to update sub-annual socioeconomic drought IDF curves while taking into account changes in water supply and demand conditions.


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