Research and Application of Optimal Allocation Model of Water and Soil Resources from the Perspective of Ecological Economics

Author:

Dai Liuyi12,Wang Xinran23ORCID

Affiliation:

1. Department of Economics, Pusan National University, Busan 46241, Rep. of, Republic of Korea

2. Baotou Teachers’ College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014030, China

3. Department of Business Administration, Jeonju University, Jeonju 55069, Rep. of, Republic of Korea

Abstract

In order to solve the problem of realizing the rational allocation of water and soil resources in the watershed on the premise of ecological protection under the background of climate change, this paper proposes an optimal allocation model of water and soil resources from the perspective of ecological economics. In this paper, the use area of various land resources is taken as the decision variable, and the total amount of water resources available is taken as the constraint condition, and the multiobjective models under different scenarios are established, respectively. MOGWO algorithm is used to calculate the Pareto solution set under each scenario, and finally AHP is used to select the optimal solution with different decision preferences from Pareto. The experimental results show that under the current situation, the water shortage of the basin is 7.61 × 10 8  m3. In the current planning year (2020), 950.7 km2 of cultivated land should be reduced to meet the water resources situation of the river basin, accounting for about 17.8% of the total cultivated land, which is also in line with the basic policy of “well killing and land shrinking” advocated by the river basin in recent years. In the medium-term planning year (2035), the cultivated land area can be maintained at about 4300. Due to the increase of available water resources, water-saving irrigation area and irrigation water utilization coefficient, the cultivated land area in the long-term planning year (2050) can be increased by about 200 km2 on the basis of the medium-term planning year. Conclusion. The model finally obtains the optimal solution in line with different decision preferences under different scenarios.

Funder

Jeonju University

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

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