An analytical method of regional water resources carrying capacity in karst area – a case study in Guizhou province, China

2016 ◽  
Vol 11 (4) ◽  
pp. 796-805 ◽  
Author(s):  
Li Bo ◽  
Wu Qiang ◽  
Chen Li-xia
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Research Area ◽  
Evaluation Index System ◽  
Guizhou Province ◽  
Karst Area ◽  
Water Resources Carrying Capacity ◽  
Regional Water

The uneven temporal and spatial distributions and the unreasonable development and utilization of water resources have caused increasingly severe water resources shortage around the world. Studying on regional water carrying capacity is beneficial for the optimal management of water resources, and can provide assistance for the sustainable utilization of water resources. The typical karst area in China – Guizhou province was applied as the research area in the paper. Meanwhile, twelve indexes were selected from three perspectives including water supply, water demand and social economy to establish the evaluation index system of regional water carrying capacity. Afterwards, the analysis hierarchy process was utilized to construct the evaluation model of regional water resources carrying capacity, so as to evaluate, compare and analyze the regional water carrying capacity in each city of Guizhou province, China. This model verified the feasibility of the evaluation method. Relevant studies can provide certain theory evidence and method support for the investigation on regional water carrying capacity.

scholarly journals Dynamic evaluation of regional water resources carrying capacity based on set pair analysis and partial connection number

2021 ◽  
Author(s):  
Zheng Li ◽  
Juliang Jin ◽  
Yi Cui ◽  
Libing Zhang ◽  
Chengguo Wu ◽  
...  
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Evaluation Model ◽  
Set Pair Analysis ◽  
Connection Number ◽  
Water Resources Carrying Capacity ◽  
Micro Motion ◽  
Partial Connection ◽  
Pair Analysis ◽  
Regional Water

Abstract In order to describe the micro motion between the connection number components and seek a more applicable evaluation model, quantitatively evaluate and analyze regional water resources carrying capacity (WRCC). Firstly, an evaluation index system and grade standards of regional WRCC were constructed. Then, a method for determining the connection number was proposed, which considered the micro motion between the connection number components in system structure. Finally, built an evaluation model based on set pair analysis (SPA) and partial connection number (PCN) that used subtraction set pair potential (SPP) to identify vulnerability factors, and identification results were compared with total partial connection number (TPCN). The model was applied to Huaibei City, Anhui Province, China. The results showed that: the WRCC grade value was between 2 and 3 that was poor; the support and regulation subsystem grade value was between 2 and 3, and the pressure subsystem grade value was between 1 and 2. SPP identified that the support force and regulation force subsystem were the vulnerable subsystems. Eight indexes such as water resources per capita, rate of ecological water consumption and density of population were the main indicators causing the poor WRCC, which were in good agreement with the local measured data. In addition, the SPP and TPCN are compared to further verify rationality of the connection number determination method and reliability of the identification results. The model established in this paper has strong applicability and can also be used for the dynamic evaluation of other resources, environment and ecological carrying capacity. The results in this study can provide a scientific basis for water resources management and decision-making.

scholarly journals Preliminary research on quantitative methods of water resources carrying capacity based on water resources balance sheet

2018 ◽  
Vol 379 ◽  
pp. 269-277
Author(s):  
Yanqiu Wang ◽  
Xiaorong Huang ◽  
Linyun Gao ◽  
Biying Guo ◽  
Kai Ma
Keyword(s):  
Sustainable Development ◽  
Water Resources ◽  
Carrying Capacity ◽  
Quantitative Methods ◽  
Evaluation Method ◽  
Balance Sheet ◽  
Quantitative Calculation ◽  
Water Resources Carrying Capacity ◽  
Definition Of ◽  
Regional Water

Abstract. Water resources are not only basic natural resources, but also strategic economic resources and ecological control factors. Water resources carrying capacity constrains the sustainable development of regional economy and society. Studies of water resources carrying capacity can provide helpful information about how the socioeconomic system is both supported and restrained by the water resources system. Based on the research of different scholars, major problems in the study of water resources carrying capacity were summarized as follows: the definition of water resources carrying capacity is not yet unified; the methods of carrying capacity quantification based on the definition of inconsistency are poor in operability; the current quantitative research methods of water resources carrying capacity did not fully reflect the principles of sustainable development; it is difficult to quantify the relationship among the water resources, economic society and ecological environment. Therefore, it is necessary to develop a better quantitative evaluation method to determine the regional water resources carrying capacity. This paper proposes a new approach to quantifying water resources carrying capacity (that is, through the compilation of the water resources balance sheet) to get a grasp of the regional water resources depletion and water environmental degradation (as well as regional water resources stock assets and liabilities), figure out the squeeze of socioeconomic activities on the environment, and discuss the quantitative calculation methods and technical route of water resources carrying capacity which are able to embody the substance of sustainable development.

scholarly journals Research on evaluation method of water resources carrying capacity based on improved TOPSIS model

2020 ◽  
pp. 68-74
Author(s):  
Xiubo Sun ◽  
Changlai Guo ◽  
Jian Cui
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Evaluation Method ◽  
Evaluation Index System ◽  
Practical Significance ◽  
Research On Evaluation ◽  
Water Resources Carrying Capacity ◽  
Index Matrix ◽  
Improved Topsis Model ◽  
Topsis Model

Based on the improved TOPSIS model, water resources carrying capacity research is carried out. On the basis of constructing a water resources evaluation index system, the weights are introduced from the traditionally constructed index matrix into the Euclidean distance of the TOPSIS model through subjective and objective weighting. When the ideal solution distance is the same, the larger weighted index corresponds to the greater water resources carrying capacity. The improved TOPSIS model is used to evaluate the water resources carrying. Taking Jinzhou as an example, we determine the advantages of water resources carrying capacity and the influencing factors of the short board in this area. The proposed method has certain theoretical and practical significance.

scholarly journals Evaluation and Prediction of Regional Water Resources Carrying Capacity: A Case Study of Shandong Province

2017 ◽  
Vol 7 (1) ◽  
pp. 21 ◽  
Author(s):  
Hongyan Liao ◽  
Yuabiao Zhang ◽  
Zhifeng Chen ◽  
Zexin Meng
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Arid Regions ◽  
Evaluation Model ◽  
Supply And Demand ◽  
Arima Model ◽  
Shandong Province ◽  
Water Resources Carrying Capacity ◽  
Regional Water

Growing pressure on the world’s water resources is having major impacts on us. In this paper, we discuss on water resources carrying capacity. We have a case study of Shandong Province which is one of the most arid regions in China. Considering the dynamics of water supply and demand, we combine the Falkenmark indicator and the binary dynamics model to establish an evaluation model of regional water resources carrying capacity. According to the result of our model, Shandong Province is heavily exploited. The per capita water resources in Shandong province were less than 300 m3 in the past ten years. The increasing destruction and increasing waste make the situation even worse. Then ARIMA model and BP neural network is combined to propose a prediction model. We use it to predict the supply and demand of water resources in Shandong Province in the next 15 years

Study on Water Resources Carrying Capacity in Hefei City

2012 ◽  
Vol 610-613 ◽  
pp. 2701-2704 ◽  
Author(s):  
Yang Gao ◽  
Sheng Zhang ◽  
Guo Wei Xu ◽  
Hai Min Su ◽  
Yong Zhang
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Development Potential ◽  
Water Resources Carrying Capacity ◽  
Regional Sustainable Development ◽  
Development And Utilization

Water resources carrying capacity was evaluated by using fuzzy comprehensive evaluation method after the evaluation index system was constructed according to water resources condition, socio-economic development level and economic structure characteristics in Heifei City. The results showed that development and utilization degree of water resources was high and further development and utilization potential was small. The water resources development potential of city proper was the minimum in all regions and WRCC of it was saturated. The development and utilization degree of water resources in Feixi County was smaller than other districts, there were certain development potential. On this basis, some suggestions and measures were proposed for improve regional water resources carrying capacity and ensure regional sustainable development.

An Evaluation Method of Water Resources Carrying Capacity Based on Projection Pursuit Model

2013 ◽  
Vol 652-654 ◽  
pp. 1710-1716 ◽  
Author(s):  
Wei Wang ◽  
Yong Jun Feng ◽  
Wei Feng Chen ◽  
Fu Lin Li
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Evaluation Method ◽  
Yellow River ◽  
Evaluation Model ◽  
Projection Pursuit ◽  
Yellow River Delta ◽  
River Delta ◽  
Swarm Optimization ◽  
Water Resources Carrying Capacity

It is very important that drawing up a reasonable developing and utilizing plan for water resources and ensuring the sustainable supply of water resources to the socioeconomic development of an area. So that, how to analyze and evaluate water resources carrying capacity is the key issue. In this paper, we proposed an evaluation method for water resources carrying capacity in Yellow River Delta based on projection pursuit evaluation model and particle swarm optimization. First, we regarded economy, social development, ecological environment and water resources as a compound system and established an index system including eighteen indices. Second, we chose the data in 2010 and evaluated water resources carrying capacity in Yellow River Delta utilizing projection pursuit evaluation model and particle swarm optimization. Finally, based on the evaluation above, we can draw a conclude for several areas in Yellow River Delta. The water resources carrying capacity of Dongying district and Kenli County is better and is at level II, and water resources are in week stress-free state. And that the one of Hekou district, Lijin County and Guangrao County is medium and level III, and the development of water resources and social economy is in coordination state.

Fuzzy Comprehensive Evaluation of Water Resources Carrying Capacity in Suzhou City of Anhui Province

2012 ◽  
Vol 599 ◽  
pp. 686-689
Author(s):  
Yang Gao ◽  
Hong Mei Zhang ◽  
Guo Wei Xu ◽  
Hai Min Su
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Water Resources Carrying Capacity ◽  
Suzhou City ◽  
Development And Utilization ◽  
Large Water

Water resources carrying capacity (WRCC) is an important factor which influences development speed and scale of society and economy. The evaluation index system of WRCC was constructed according to municipal economic development status and the utilization of water resources in Suzhou City, using the fuzzy comprehensive evaluation method, analyzed water resources carrying capacity in different years. The results showed that water resources carrying capacity has tended to be smaller in recent years. It indicated that the development and utilization of water resources were large, water resources carrying capacity was close to saturation and the development potential of water resources was small in Suzhou City.

Study on Water Resources Efficiency with the Regional Water Resources Carrying Capacity into Consideration

2018 ◽  
Vol 06 (04) ◽  
pp. 1850023 ◽  
Author(s):  
Xifeng WANG
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
High Water ◽  
Coastal Regions ◽  
Coordinated Development ◽  
Policy Makers ◽  
Water Resources Carrying Capacity ◽  
Decision Making Unit ◽  
High Level ◽  
Regional Water

Most of the existing studies on regional water resources efficiency only consider the total regional water use while ignoring the regional endowment. Therefore, it is essential to introduce the water resources carrying capacity into the study. Given that data envelopment analysis (DEA) cannot compare the time series of a single decision-making unit, we employ the DEA-window analysis to study China’s water resources efficiency during 2005–2012 with the regional carrying capacity being considered, and analyze the spatiotemporal evolution. The study shows that such efficiency has increased from 0.71 in 2005 to 0.79 in 2012. High water resources efficiency is observed in Liaoning, Tibet, Yunnan, Beijing, Tianjin, Shanghai, Jiangsu, Zhejiang, Guangdong and Sichuan, where the output levels and utilization ratios of water resources are positively correlated. Low water resources efficiency is observed in Henan, Shaanxi, Gansu, Ningxia and Xinjiang which feature high-level utilization and low carrying capacity of water resources. As for regional water resources efficiency, eastern and southern coastal regions rank first, followed by Northeast China and northern coastal regions, southwest and northwest regions of China and lastly the middle reaches of the Yellow and Yangtze Rivers. Therefore, policy-makers should not only accord the regional development with carrying capacity, but also enhance cross-regional industrial cooperation for coordinated development.

scholarly journals Simulation of Water Resources Carrying Capacity in Xiong’an New Area Based on System Dynamics Model

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1085 ◽  
Author(s):  
Boyang Sun ◽  
Xiaohua Yang
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
System Dynamics ◽  
Carrying Capacity ◽  
Environmental Governance ◽  
Supply And Demand ◽  
Groundwater Overdraft ◽  
Water Resources Carrying Capacity ◽  
Water Supply And Demand ◽  
Regional Water

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.

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