Research on Water Resources-social Economy-ecosystem Coupling
System based on Improved Ant Colony Algorithm
Yihuan He
*
and Shi An
School of Economics and Management, Harbin Institute of Technology, Harbin, 150001, P.R. China
Keyword: Water resources, Social economy, Ecosystem, Ant colony algorithm, Symbiosis, Security status
Abstract:
Based on the ant colony algorithm, using the Lotka-Volterra symbiosis model and taking Guangzhou,
Shenzhen, Zhuhai, Shantou, Dongguan, Zhongshan, Zhaoqing, Foshan and Yangjiang as the research objects,
research on the coupling relationship of water resource, social economy and ecosystem system from 2005 to
2019 was carried out. The basic index, comprehensive index and security status of water resources were
calculated. The symbiotic relationship between water resources, social economy, and ecological environment
was analyzed quantitatively. It is of great significance to the realization of full utilization of water resources
and sustainable development.
1 INTRODUCTION
The social-ecological-water resources system
includes all aspects of human activities. The purpose
of studying the coupling development of the system
is to understand the interaction mechanism between
the systems, calculate the exchange flux within the
system, and provide ideas and methods for guiding
the coordinated and efficient development of the
entire system. Compared with traditional linear and
non-linear programming algorithms, ant colony
algorithm in studying coupled systems has many
advantages. The idea of the algorithm is simple, and
it is not restricted by the differentiability,
differentiability, and continuity required by the
planning problem. Since the algorithm starts from a
set of schemes, it expands the scope of search and
optimization, and reduces the risk of a large gap
between the local optimal solution and the global
optimal solution generated by the traditional linear
optimization method. Thus, the relationship between
the various elements is coordinated, and the unity of
economic, social and environmental is realized by
applyling the ant colony algorithm to the water
environment system.
Research on water rights allocation, optimization
models, water shortage risk assessment, and optimal
allocation of water resources have been carried out
(Chen et al., 2015; He, 2014; Hou & Wu, 2015; Liu et
al., 2020; Wang et al., 2014; Xie et al., 2013; Zhao et
al., 2017). However, the ant colony algorithm also had
the following shortcomings: (1) It requires a longer
search time. (2) It is prone to stagnation, which is not
conducive to finding a better solution. Therefore, it is
necessary to improve the state transition probability
of the basic ant colony algorithm, and build a new ant
colony algorithm suitable for the coupled system of
water resources-social economy-ecosystem based on
actual problem requirements.
Based on the ant colony algorithm, the basic index,
comprehensive index, safety index and carrying
capacity of the nine major cities in Guangdong
Province was calculated by using the Lotka-Volterra
symbiosis model. Then the coupling relationship
between water resources, social economy and
ecological environment was analyzed.
Figure 1: Improved ant colony algorithm feedback
relationship diagram.