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A model of objective weighting for EIA

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Abstract

In spite of progress achieved in the research of environmental impact assessment (EIA), the problem of weight distribution for a set of parameters has not as yet, been properly solved. This paper presents an approach of objective weighting by using a procedure of P ij principal component-factor analysis (P ij PCFA), which suits specifically those parameters measured directly by physical scales. The P ij PCFA weighting procedure reforms the conventional weighting practice in two aspects: first, the expert subjective judgment is replaced by the standardized measure P ij as the original input of weight processing and, secondly, the principal component-factor analysis is introduced to approach the environmental parameters for their respective contributions to the totality of the regional ecosystem. Not only is the P ij PCFA weighting logical in theoretical reasoning, it also suits practically all levels of professional routines in natural environmental assessment and impact analysis. Having been assured of objectivity and accuracy in the EIA case study of the Chuansha County in Shanghai, China, the P ij PCFA weighting procedure has the potential to be applied in other geographical fields that need assigning weights to parameters that are measured by physical scales.

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Authors and Affiliations

  1. Department of Geography, San Diego State University, 92182, San Diego, California, USA

    Long Gen Ying

  2. Department of Geography, East China Normal University, 200062, Shanghai, People's Republic of China

    You Ci Liu

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  1. Long Gen Ying
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Ying, L.G., Liu, Y.C. A model of objective weighting for EIA. Environ Monit Assess 36, 169–182 (1995). https://doi.org/10.1007/BF00546788

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