Urban Pluvial Flood Management Part 2: Global Perceptions and Priorities in Urban Stormwater Adaptation Management and Policy Alternatives

Abstract

Urban stormwater infrastructure is at an increased risk of being overwhelmed by pluvial flood events due to climate change. Currently, there are no global standards or frameworks for approaching urban rainfall adaptation policy. Such standards or frameworks would allow cities that have limited time, finances or research capacities to make more confident adaptation policy decisions based on a globally agreed theoretical basis. Additionally, while adaptation via blue-green infrastructure is often weighed against traditional grey infrastructure approaches, its choice must be considered within the context of additional policy alternatives involved in stormwater management. Using six global and developed cities, we explore to what extent a standardized hierarchy of urban rainfall adaptation techniques can be established through a combined Analytic Hierarchy Process (AHP) Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) Multi-Criteria Decision Analysis. While regional and stakeholder differences emerge, our study demonstrates that green infrastructure undertaken by public bodies are the top policy alternative across the cities and stakeholder groups, and that there exists some consensus on best management practice techniques for urban stormwater adaptation.

Evaluation of the Influence of Catchment Parameters on the Required Size of a Stormwater Infiltration Facility

“…Considering the range of challenges facing global communities, solving the problem of stormwater management cannot be done without getting closer to achieving the Sustainable Development Goals [15]. Particular attention should be paid to the need to ensure the health [16] and well-being [17] of people in the drained area and to guarantee universal access to potable water [18]. Equally important are the issues of creating sustainable cities and communities [19], responsible consumption and production [20], and protecting life on land, for example, by preventing flooding [21,22] and sewer overload [23].…”

A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India

“…Analytical Hierarchy Process (AHP) (Das 2020;Das and Gupta 2021), Fuzzy Analytical Hierarchy Process (Hasanloo et al 2019), Discrete Choice Analysis (Wassenaar and Chen 2003), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) (Sari 2021), Preference Ranking Organization Method (Chen 2021), Vise Kriterijumska Optimizacijaik Ompromisno Resenje (VIKOR) (Wang et al 2019), Evaluation Based on Distance from Average Solution (EDAS) (Ghorabaee et al 2017), and Multi-objective Optimization on the basis Ratio Analysis (Karande and Chakraborty 2012), takes a dominant role to handle flood hazard susceptibility and vulnerability mapping. In this study, the researchers have attempted to manifest the flood susceptibility modelling of the region using the TOPSIS, VIKOR, and EDAS MCDM methods, which are become preferably and frequently used in regional flood studies (Arabameri et al 2019;Khosravi et al 2019;Akay 2021;Axelsson et al 2021;Zanganeh Asadi et al 2021). All the MCDM methods are selected due to their high efficiency in making the decision based on multiple criteria (Song and Chung 2016;Siregar et al 2018;Stanujkic et al 2018).…”

Adaptability Assessment and Analysis of Temporal and Spatial Differences of Water-Energy-Food System in Yangtze River Delta in China

“…The adaptation mechanism changes from passive adaptation [19] to active adaptation. The adaptation timeliness has been extended from emergency adaptation [20] to medium and long-term adaptation [21]. Adaptability has become the critical research direction of global geography [22], ecology [23], environmental science [24] and other related disciplines.…”