A Multi-Index Evaluation System for Identifying the Optimal Configuration of LID Facilities in the Newly Built and Built-up Urban Areas

Abstract

Intensifying urban stormwater runoff and pollution caused by urbanization and climate change threatens property and lives in cities around the world. Low-impact development (LID) is an effective approach to improve urban flood resistance, but there is a lack of quantitative evaluation criteria to determine the best scenario in the newly built and built-up urban areas. In this study, based on the Fuzzy Comprehensive Evaluation method (FCE), a multi-index evaluation system is established to quantify the LID performance for the environment, technology, economy, and society. For overcoming subjective arbitrariness, the Criteria Importance Though Intercriteria Correlation (CRITIC) and Analytical Hierarchy Process (AHP) methods are used to evaluate the weight of each evaluation index. The proposed method is demonstrated for the Xi'an City, China. Results show that the integrated configuration of green roof, infiltration pavement and grass swale has the best comprehensive efficiency under the proposed method. More specifically, the allocation of different LID combinations in the newly built area can effectively manage the flooding in this area. However, the comprehensive efficiency of increasing the diameter of the storm sewer is optimal in the built-up area. The increased pipe diameter can discharge more rainwater through the urban storm sewer and mitigate overflow. A multi-index evaluation framework beyond the traditional subjective evaluation standard is established, which can quantitatively evaluate the effectiveness of LID facilities. The proposed quantification evaluation method can provide an efficient recommendation for sponge city construction and evaluation.

A Review of Recent Developments on Modeling Low Impact Development (LID) Technique

“…The AHP method is used to weigh each criterion and indicator that influences the selection of alternatives and synthesizes expert judgment, while the TOPSIS method is used to rank the best alternative in social and economic recoverability. Other MCDM methods used in different LID studies include the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) [73], Criteria Importance Through Intercriteria Correlation (CRITIC) [74]. Nonetheless, the proposed framework is not necessarily suitable when applied to different study areas, so it needs to be tested extensively [75].…”

Space-Time Pattern of Coupling Coordination between Environmental Regulation and Green Water Resource Efficiency in China

“…It is defined as the ability to minimize water resource input under green output, taking into account the ecological and economic value functions of water resources [8]. At present, scholars at home and abroad have explored the relationship between environmental regulation and GWRE from different perspectives, and at the beginning of the study, scholars focused on the measurement and evaluation of water resources efficiency, mainly using the index system evaluation method [9] (factor analysis method [10], entropy method [11], etc. ), stochastic frontier analysis method (SFA) [12], and data envelopment analysis method (DEA) [13,14].…”