One thirsty world -- Analysis of the water resources

2nd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Zhang, Junli^1,2 ; Cheng, Qian^2 ; Wang, Yan^1,2

Xi'An Eurasia University, Xi'an, China^1

Xi'An Jiao Tong University, Xi'an, China^2

关键词: Clean waters;    Environmental factors;    Living environment;    Multi-objective modeling;    Policy intervention;    Prediction model;    Water scarcity;    Water utilization;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/170/2/022092/pdf
DOI  :  10.1088/1755-1315/170/2/022092

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The living environment of human beings worsens, particularly the water scarcity is becoming more serious. It heavily affects the development of the nation and the survival of human beings. Firstly, this paper analysed the problem and developed a model that a region has the ability to provide clean water for its population, then predicted the future water resources and offered some measures to solve the problem. Firstly, we designed 5 influential principle indexes for water source and identified the controllable factors, then analysed the relationship between the various indexes. After that we developed the dynamic model to measure the water utilization rate and annual per ca-pita the surplus amount of water. First, analysed the pressure of world's water resources and selected India where water is heavily overloaded as the chosen country for the aim of research. Second, it analysed the reasons of water scarcity from the aspects of physical scarcity and physical scarcity. First of all, according to the development of environmental factors of India, we built the prediction model of population and GDP, then applied the models of water utilization rate and annual per capita the surplus amount of water to predict the situation of water resources in the next 15 years in India. In the next 15 years, water scarcity worsens gradually and the increasing rate of water utilization comes up and annual per capita availability of water falls, which dramatically affects the stability of economy, society and environment in India. Firstly, we developed the policy intervention model, then set up multi-objective model based on the minimum of water utilization and the maximum of annual per capita the surplus amount of water, predicted the two situations that applied the intervention or not.