Few studies in the literature integrate rainwater harvesting and firefighting. Thus, the general objective of this paper was to evaluate the potential use of rainwater as a source of water for firefighting. To do so, two approaches were proposed for the assessment. The first approach was the analysis of the existing literature. Two databases were evaluated as references in engineering fields, of which 32 articles mentioned rainwater as an alternative for firefighting. The main result of the review was the scarcity of articles in the area under study, with some of the existing articles focusing on forest fires. In contrast, others analysed the use of rainwater within the scope of buildings or fire stations. The second approach involved a case study that started by analysing the fire statistics provided by the Military Fire Department of the state of Santa Catarina, Brazil. It was observed that, between 2017 and 2020, building fires represented 25 % of the state's fires and 50 % of the water consumption in firefighting, while the rest of the fire occurrences represented the other half of water consumption. Rainwater can be used not only to reduce the total consumption of potable water but also as a logistics tool towards better response time in the event of a fire. With the firefighting water demand obtained, a Life Cycle Assessment (LCA) approach was performed to assess the potential environmental optimisation in a simplified scope. It was performed in a cradle-to-gate approach, leaving the potential optimisations in transport and logistics apart. Also, a cost assessment was carried out, obtaining a much lower cost for firefighting and providing financial savings for fire stations. As a result, rainwater is expected to decrease environmental impacts, help logistics in fire and save money for fire supression.
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http://dx.doi.org/10.1016/j.scitotenv.2023.165510 | DOI Listing |
Bioscience
August 2024
Earth and Environmental Science Department at Lehigh University, Bethlehem, Pennsylvania, United States.
Under climate change, ecosystems are experiencing novel drought regimes, often in combination with stressors that reduce resilience and amplify drought's impacts. Consequently, drought appears increasingly likely to push systems beyond important physiological and ecological thresholds, resulting in substantial changes in ecosystem characteristics persisting long after drought ends (i.e.
View Article and Find Full Text PDFJ Fungi (Basel)
January 2025
Department of Plant Pathology, University of California, Davis, CA 95616, USA.
Evidence of unintended introductions of species into native habitats has become increasingly prevalent in California. If not managed adequately, species can become devastating agricultural and forest plant pathogens. Additionally, California's natural areas, characterized by a Mediterranean climate and dominated by chaparral (evergreen, drought-tolerant shrubs) and oak woodlands, lack sufficient baseline knowledge on biology and ecology, hindering effective management efforts.
View Article and Find Full Text PDFSci Rep
January 2025
School of Oil & Natural Gas Engineering, Southwest Petroleum University, Chengdu, 610500, Sichuan, China.
As a necessary part of intelligent control of a joint station, the automatic identification of abnormal conditions and automatic adjustment of operation schemes need to judge the running state of the system. In this paper, a combination of Particle Swarm Optimization (PSO) and Gray Wolf Optimizer (GWO) is proposed to optimize the Backpropagation Neural Network (BP) model (PSO-GWO-BP) and a pressure drop prediction model for the joint station export system is established using PSO-GWO-BP. Compared with the traditional hydraulic calculation modified (THCM) models and other machine learning algorithms, the PSO-GWO-BP model has significant advantages in prediction accuracy.
View Article and Find Full Text PDFPNAS Nexus
January 2025
Southern Research Station, US Forest Service, 320 Green Street, Athens, GA 30602, USA.
Wildfires are growing in destructive power, and accurately predicting the spread and intensity of wildland fire is essential for managing ecological and societal impacts. No current operational models used for fire behavior prediction resolve critical fire-atmospheric coupling or nonlocal influences of the fire environment, rendering them inadequate in accounting for the range of wildland fire behavior scenarios under increasingly novel fuel and climate conditions. Here, we present a new perspective on a dominant fire-atmospheric feedback mechanism, which we term wildland fire entrainment (WFE).
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
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