Spatial Equilibrium Evaluation of the Water Resources in Tai’an City Based on the Lorenz Curve and Correlation Number

Abstract

Water resource spatial equilibrium evaluations provide the bases for water resource utilization and allocation. To analyze the regional spatial water resource matching balance, this study constructed a water resource spatial matching model based on the Gini coefficient and Lorenz curve methods. To further reflect the influence of each subregion on the whole region, we combined the correlation number and Gini coefficient methods to propose the water resource spatial balance evaluation method. Herein, we constructed nine Lorenz curve pairs that matched the total water resources and total water use with cultivated land area, population, GDP (Gross Domestic Product) of the secondary industry, GDP (Gross Domestic Product) of the tertiary industry, and agricultural irrigation water consumption. Set pair analysis theory was applied to calculate sample correlation numbers and determine equilibrium levels, which were then compared to Gini coefficient method-based results for Tai’an city evaluation. The results showed that the total water consumption spatial equilibrium in Tai’an city from 2011 to 2020 was favorable, while the total water resource results for Tai’an city greatly differed, especially the balance between total water resources and GDPs of the secondary and tertiary industries, which should be further improved. In practice, quantitative analysis of the water resource spatial equilibrium state in Tai’an city is important for efficient water resource utilization and coordinated development of water resources and economic and social environments.

Joint Optimization of Urban Water Quantity and Quality Allocation in the Plain River Network Area

“…The demand for regional water resources is closely tied to population and economic factors, requiring a proportional allocation of water resources to match population and GDP [42]. The Gini coefficient is employed to quantify how well regional water resources correspond to economic factors [43].…”

Quantitative Diagnosis of Water Resources Carrying Capacity Obstacle Factors Based on Connection Number and TOPSIS in Huaibei Plain

“…( At present, some studies have neglected the microscopic movement among the connection number components [46,47], resulting in unreliable and unstable evaluation results, which are not in accordance with the actual water resources carrying states of the region and cannot provide an effective decision-making basis for the management of regional water resources. In this paper, the migration and transformation of the connection number components under the macro-static and micro-movement states were comprehensively considered, and the mobility matrix was proposed based on the partial connection number, which can realize the qualitative and quantitative portrayals of the direction and incremental size of the movement of the connection number components at the micro-level under the macro-static state.…”

The Spatial-Temporal Matching Characteristics of Water Resources and Socio-Economic Development Factors: A Case Study of Guangdong Province

“…Currently, the inequality of water resources and the spatially mismatch between water and other elements have been increasingly discussed at various levels, from grid to prefectural, basin, and national level [6][7][8][9]. In China, regional studies focusing on water resource equilibrium have mainly concentrated in the northern arid and semi-arid region [10,11]. Previous researchers addressed that a water inequality can aggravate the water conflicts between different sectors and regions.…”