Multi-Criteria GIS for Sponge City Planning with Open Data Sources in Vigo (Spain) DOI Creative Commons
Jesús Balado, Mercedes Solla

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, Год журнала: 2024, Номер X-4/W5-2024, С. 41 - 48

Опубликована: Июнь 27, 2024

Abstract. Sponge cities are renowned for their efficacy against extreme weather events, reducing surface runoff, managing stormwater, and mitigating flood risks. Moreover, they present multifaceted advantages by integrating blue-green infrastructure, enhancing urban sustainability, improving water quality. The trend of expansion beyond China marks a significant development in climate-resilient planning. This study pioneers the use open data to locate suitable sites sponge Low Impact Development (LID) solutions, showcasing Vigo (Spain) as viable case mid-sized cities. Input is obtained from administrative cartography (DTM, hydrogeology, land cover, river courses, demographic census) satellite imagery (impervious coverage, vegetation, temperature) Landsat 8 MODIS calculating three spectral indices (NISI, NDVI, NDIH). A robust Geographical Information System (GIS) method proposed weighting multi-criteria with AHP matrix. Three main potential identified deploying specific LID strategies, green roofs, parking, or rain gardens. Nevertheless, while swiftly identifies intervention on municipal scale, conclusive decisions necessitate terrain insights, public sentiments, regulations, funding considerations.

Язык: Английский

Integrated assessment of available water volume for sustainable sponge city construction – A case study in Xi'an, China DOI Creative Commons
Li Luo,

Dong Su,

Tong Wang

и другие.

Water Science & Technology, Год журнала: 2024, Номер 89(5), С. 1282 - 1296

Опубликована: Фев. 19, 2024

Abstract To address the lack of theoretical guidance for sponge city construction (SCC) in China, this study introduces a method to evaluate available water volume (AWV) urban watersheds. This evaluation is based on balance relationship, volume, and ecological demand (EWD). The Xi'an area was selected as case due its shortage flooding issues. Results show monthly surface subsurface AWV ranging between 53.06 53.98 million m3 8,701.89 8,898.14 m3, respectively. By maximizing potential AWV, an annual supply 527.75 could be provided, surpassing artificial consumption 394.20 effectively addressing scarcity. During rainy season, implementing measures such employing permeable paving materials, establishing wetlands rainwater gardens, constructing lakes reservoirs can mitigate caused by rainfall exceeding 32.8 mm. While space holds significant utilization, revitalizing environment crucial. Overall, framework offers comprehensive solution issues area, serving vital theory SCC.

Язык: Английский

Процитировано

3
Assessing the potential for green roof retrofitting: A systematic review of methods, indicators and data sources DOI
Jing Dong, Chunli Li, Ruonan Guo

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106261 - 106261

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Multi-Criteria GIS for Sponge City Planning with Open Data Sources in Vigo (Spain) DOI Creative Commons
Jesús Balado, Mercedes Solla

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, Год журнала: 2024, Номер X-4/W5-2024, С. 41 - 48

Опубликована: Июнь 27, 2024

Abstract. Sponge cities are renowned for their efficacy against extreme weather events, reducing surface runoff, managing stormwater, and mitigating flood risks. Moreover, they present multifaceted advantages by integrating blue-green infrastructure, enhancing urban sustainability, improving water quality. The trend of expansion beyond China marks a significant development in climate-resilient planning. This study pioneers the use open data to locate suitable sites sponge Low Impact Development (LID) solutions, showcasing Vigo (Spain) as viable case mid-sized cities. Input is obtained from administrative cartography (DTM, hydrogeology, land cover, river courses, demographic census) satellite imagery (impervious coverage, vegetation, temperature) Landsat 8 MODIS calculating three spectral indices (NISI, NDVI, NDIH). A robust Geographical Information System (GIS) method proposed weighting multi-criteria with AHP matrix. Three main potential identified deploying specific LID strategies, green roofs, parking, or rain gardens. Nevertheless, while swiftly identifies intervention on municipal scale, conclusive decisions necessitate terrain insights, public sentiments, regulations, funding considerations.

Язык: Английский

Процитировано

1