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Item type:Publication, Access status: without files , A multi-scale framework for assessing the suitability of low impact development in a dense flood-prone urban areaLow Impact Development (LID) strategies offer multiple benefits, including flood prevention, urban diffuse pollution control, and the creation of alternative water sources by increasing permeable surfaces. This study applies a multi-scale, multidisciplinary holistic and adaptive strategy framework for flood management in a high-density urban area in Ankara to identify suitable zones for LID implementation. The framework integrates field research, remote sensing, statistical learning, and expert input bridging engineering and urban planning perspectives, consist of (i) LID land suitability at the pixel scale and (ii) LID planning with prioritization at the neighborhood scale. Land Use and Land Cover classification was conducted on Google Earth Engine using the Random Forest algorithm and WorldView-4 satellite imagery. Six commonly used Multi-Criteria Decision-Making (MCDM) methods were employed to assess land suitability using MetaRanking. Neighborhood-scale analysis identifies priority zones for LID implementation by evaluating building density, runoff accumulation, and the intersections of impermeable surfaces with high-density areas. According to MCDM findings, bioretention cells are the most suitable LID type (29.8 %), while rain barrels account for 24.1 % of building coverage. The suitability analysis highlights the northwestern region of the study area as a priority zone for LID applications. Proposed green corridors and permeable pedestrian pathways can further enhance water retention and urban resilience. The plant species selected for LID systems are drought-tolerant, region-specific, and derived from floristic studies conducted in Ankara, considering both ecological and aesthetic contributions. This holistic approach addresses the complexities of urban hydrology, spatial planning, and socioeconomic dynamics, promoting sustainable and equitable urban landscapes.Publicationtype: Journal Article12 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Assessment of low impact development strategies with multi-scale, multi-criteria decision making approaches for urban flood resilience(2025-04); ; ; Urbanization exacerbates runoff, peak flow unpredictability, deterioration of water quality, and the Urban Heat Island Effect. Low-income, flood-prone areas are disproportionately impacted by weak governance and inadequate infrastructure. All of which influence water, energy, and equality balance. As preventing urban development is unfeasible, Low Impact Development (LID) provides a viable alternative. We offer a multi-scale framework that incorporates LID solutions for stormwater management in Ankara, Türkiye; therefore, filling the gap in holistic, multidisciplinary, and multiscale approaches via engineering and urban planner perspectives. Our framework contains: (i) Multi-Criteria Decision Making (MCDM)-Driven Pixel Scale Analysis of WorldView-4 images to create Land Use Land Cover (LULC) data using Random Forest (81.34% accuracy) on Google Earth Engine and SRTM-based slope and flow accumulation data. Using expert opinion and literature, we created and scored criteria matrices for LULC, slope, flow accumulation, and cost. This resulted in detailed LID suitability maps via the MCDM algorithm by the R programming language. (ii) Expert-Driven Neighborhood Scale Analysis for prioritization of LID based on urban parameters such as slope, surface morphology, population density, impervious surfaces, road networks, and runoff hotspots by the junction areas that emerge from the overlapping of the areas. Bioretention cells are suggested for 42.9% of the research area, rain barrels for 19.6%, and vegetative filter strips for 1.4%. Expert-Driven analysis facilitates prioritizing, whereas MCDM-Driven analysis gives pixel-level LID placement recommendations. This scalable, multidisciplinary framework provides a solid model for urban water management that may influence urban planners and policymakers in Ankara and other cities throughout the world.Publicationtype: Conference Paper26 11