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The Environmental Impact Assessment (EIA) is one of the important means of environmental management worldwide, and the EIA follow-up is one of the crucial measures to ensure the concrete implementation of the EIA. In this research, systematic reviews of EIA follow-up for projects in China were conducted to comprehensively appraise the implementation of the EIA follow-up and to identify the potential to improve the practice of an EIA follow-up. First, the EIA follow-up reports were collected through various sources. In total, there were 74 EIA follow-up reports that were identified and acquired. Second, a reviewing framework, containing 16 different indicators, was developed to systematically document and classify these EIA follow-up reports. Third, these EIA follow-up reports were grouped into several categories according to various indicators and then were analyzed to recognize their key features, including sources of data, analytic tools adopted, spatial-temporal distribution, industrial distribution, triggering causes, content, structure and effectiveness. The results showed that there were considerable disparities in the quality and the rigor of EIA follow-ups conducted. These features, along with some existing deficiencies of EIA follow-up, such as the lack of corresponding monitoring and management, can greatly limit the overall application and effectiveness of EIA follow-up in China. However, a number of good practices were identified. For example, a list of projects subject to mandatory EIA follow-up was promulgated, and the conditions for projects subject to EIA follow-up were explicitly stipulated in regulations. These good practices would be very helpful for the international EIA community to advance the practice of EIA follow-up, to reduce the disparities in the quality and the rigor of EIA follow-up, to improve the overall effectiveness of EIA follow-up and to promote the future implementation and development of EIA follow-up
I-Shin Chang; Wenqi Wang; Jing Wu; Yuhong Sun; Rong Hu. Environmental impact assessment follow-up for projects in China: Institution and practice. Environmental Impact Assessment Review 2018, 73, 7 -19.
AMA StyleI-Shin Chang, Wenqi Wang, Jing Wu, Yuhong Sun, Rong Hu. Environmental impact assessment follow-up for projects in China: Institution and practice. Environmental Impact Assessment Review. 2018; 73 ():7-19.
Chicago/Turabian StyleI-Shin Chang; Wenqi Wang; Jing Wu; Yuhong Sun; Rong Hu. 2018. "Environmental impact assessment follow-up for projects in China: Institution and practice." Environmental Impact Assessment Review 73, no. : 7-19.
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.
Wenqi Wang; Yuhong Sun; Jing Wu. Environmental Warning System Based on the DPSIR Model: A Practical and Concise Method for Environmental Assessment. Sustainability 2018, 10, 1728 .
AMA StyleWenqi Wang, Yuhong Sun, Jing Wu. Environmental Warning System Based on the DPSIR Model: A Practical and Concise Method for Environmental Assessment. Sustainability. 2018; 10 (6):1728.
Chicago/Turabian StyleWenqi Wang; Yuhong Sun; Jing Wu. 2018. "Environmental Warning System Based on the DPSIR Model: A Practical and Concise Method for Environmental Assessment." Sustainability 10, no. 6: 1728.