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Environmental Warning System Based on the DPSIR Model: A Practical and Concise Method for Environmental Assessment

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  • Wenqi Wang

    (College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China)

  • Yuhong Sun

    (Yunnan Provincial Appraisal Center for Environmental Engineering, Kunming 650032, China)

  • Jing Wu

    (College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China)

Abstract

Though we are in urgent need of environmental warnings to slow environmental deterioration, currently, there is no internationally concise method for environmental warnings. In addition, the existing approaches do not combine the three aspects of ecology, resources, and environment. At the same time, the three elements of the environment (air, water, and soil) are separated in most environmental warning systems. Thus, the method this paper gives is an innovative attempt and aims to make environmental assessment more practical. This paper establishes the index system of an environmental early warning based on the Driving–Pressure–State–Influence–Response (DPSIR) model. The Analytic Hierarchy Process (AHP) method was used to determine the weights. Next, single and integrated index methods further assess the environmental warning state, in which the weighted summation method is used to summarize the data and results. The case of Tianjin is used to confirm the applicability of this method. In conclusion, the method in this paper is more well-behaved and, therefore, more suitable to assist cities in their environmental assessment.

Suggested Citation

  • Wenqi Wang & Yuhong Sun & Jing Wu, 2018. "Environmental Warning System Based on the DPSIR Model: A Practical and Concise Method for Environmental Assessment," Sustainability, MDPI, vol. 10(6), pages 1-20, May.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1728-:d:148936
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    11. Menglu Chen & Juliang Jin & Shaowei Ning & Yuliang Zhou & Parmeshwar Udmale, 2020. "Early Warning Method for Regional Water Resources Carrying Capacity Based on the Logical Curve and Aggregate Warning Index," IJERPH, MDPI, vol. 17(7), pages 1-15, March.
    12. Xiaolei Geng & Dou Zhang & Chengwei Li & Yanyao Li & Jingling Huang & Xiangrong Wang, 2020. "Application and Comparison of Multiple Models on Agricultural Sustainability Assessments: A Case Study of the Yangtze River Delta Urban Agglomeration, China," Sustainability, MDPI, vol. 13(1), pages 1-22, December.
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