Yi-Ning Ye , Ya-Ling Chou , Dong Zhao , Wei Cao , Jia-Wei Xu , Ai-Jun Wang
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引用次数: 0
Abstract
As the concept of sustainable development continues to evolve, the changes in permafrost environment under the influence of engineering construction and climate change have received more and more attention from scholars at home and abroad. Herein, to solve the dependence of each factor on time and complexity of the interactions among factors in permafrost environment, a comprehensive evaluation model based on Driving Force-Pressure-State-Response-Control (DPSRC) theory and system dynamics (SD) was proposed. This model can evaluate permafrost environment of Qinghai-Tibetan Plateau which is effected by climate change (CC), engineering construction (EC), and artificial prevention measures (APM). The evaluation system of permafrost environment was established according to DPSRC theory. Based on SD, a casual loop model and a stock-and-flow model with three subsystem models were established to evaluate permafrost environment. Then, the validity of the comprehensive evaluation model is verified. Chai-Mu Railway was taken as the research section and set whether to use artificial prevention measures (APM) as the simulation condition to obtain the regional permafrost environment evaluation under different scenarios. The evaluation results show that artificial prevention measures (APM) were necessary for regional permafrost environment, special subgrade (thermosyphon subgrade) treatment was more effective than ecological protection investment. This comprehensive evaluation model was objective and reliable, and can provide a basis for the protection and management of permafrost environment in the future.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).