Aquaponics has witnessed global proliferation and a notable enhancement in sustainability in recent years. Consequently, it assumes paramount importance to delineate optimal locations for its implementation, in fact, the success of an aquaponic facility also depends on its geographical placement, necessitating consideration of many variables encompassing natural resources, socioeconomic factors, infrastructural availability and environmental constraints, whether natural or artificial. This paper focuses on the definition and test in the Emilia-Romagna region (Italy) of a GIS-based multi-criteria land suitability assessment model aimed at allowing the diffusion and environmental integration of innovative integrated multi-trophic aquaponic systems. The process has been implemented with a Weighted Linear Combination (WLC) model, where decisions and criteria were selected via a participatory mechanism involving experts in various fields. The region has been subdivided into 50 × 50 m grid cells, with each grid cell being associated with a value ranging from 0 to 8. In this context, a rating of 0 means unsuitability, while a rating of 1 denotes minimal suitability, and the highest rating of 8 designates maximal suitability. Notably, a substantial portion of the surveyed territory has been found to be completely unsuitable for the establishment of aquaponic facilities. More than 86.4% of the remaining suitable areas were rated 6, 7, or 8, affirming the overall favourability of the Emilia-Romagna region for aquaponic installations. Finally, the veracity and robustness of the results have been tested through a one-at-a-time sensitivity analysis, that has proven the appropriateness of the proposed model.
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http://dx.doi.org/10.1016/j.scitotenv.2023.169790 | DOI Listing |
Environ Sci Pollut Res Int
January 2025
Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8572, Japan.
Conventional power generation methods have led to adverse environmental impacts. Thus, the need for a strategic transition to alternative energy sources arises. This study presents a comprehensive approach to sustainable solar energy deployment using multi-criteria decision-making (MCDM) techniques.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Centre for Environmental Studies, Department of Civil Engineering, College of Engineering Guindy, Anna University, Chennai, 600 025, India.
Landfill biomining is indeed a promising eco-friendly approach to sustainably manage and reclaim old dumpsites. Soil like fractions of < 8-10 mm size, also known as bioearth or good earth constitute a substantial part of the legacy waste. Detailed characterization is necessary to meet regulatory standards for the safe use of bioearth and minimize its environmental and human health impacts upon reuse.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Forest Engineering, Faculty of Forestry, Kastamonu University, Kastamonu, Türkiye.
Revealing the status of forests is important for sustainable forest management. The basis of the concept lies in meeting the needs of future generations and today's generations in the management of forests. The use of remote-sensing (RS) technologies and geographic information systems (GIS) techniques in revealing the current forest structure and in long-term planning of forest areas with multipurpose planning techniques is increasing day by day.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Pediatrics, College of Medicine and King Khalid University Hospital, King Saud University, Medical City, Riyadh, Saudi Arabia.
The habitat suitability of Salvadora oleoides and Tamarix aphylla can be one of the most significant steps towards conserving these tree species. Habitat loss presents a critical threat to the existence of S. oleoides and T.
View Article and Find Full Text PDFSci Rep
December 2024
School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.
Drawing from the United Nations Sustainable Development Goals (SDGs), this study offers a framework for optimizing rail transit routes, balancing economic benefits with environmental preservation. Using the Bivariate Choropleth-Multi-Criteria Decision Analysis (BC-MCDA) model, we categorize global regions into economic benefit, environmental conservation, high-conflict, and low-conflict zones. Specifically, 7.
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