Green roofs can significantly reduce stormwater runoff volumes. Plant selection is crucial to retention performance, as it is influenced by how well plants dry out substrates between rainfall events. While the role of plants in evapotranspiration (ET) on green roofs is well-studied, their potential influence on retention via their impacts on water movement through substrates is poorly understood. We used a simulated rainfall experiment with plant species with different water use strategies to determine the key drivers of green roof retention performance. Overall per-event retention was very high (89-95%) and similar for all plant species and unplanted modules for small events. However, for larger events, some species showed lower retention than unplanted modules or low-water using succulent species. Despite the fact that these species were more effective at replenishing storage between rainfall events due to their higher ET, they reduced the maximum storage capacity of the substrate, likely due to their root systems creating preferential flow paths. This finding has important implications for green roofs, as although ET represents the primary means by which the storage capacity of green roofs can be regenerated, if species with high ET also reduce the maximum storage capacity, effective retention performance is reduced. Therefore, we suggest that species selection must first focus on how plants affect storage capacity in the first instance and consider water use strategies as a secondary objective.
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http://dx.doi.org/10.1016/j.jenvman.2018.11.070 | DOI Listing |
J Mol Graph Model
December 2024
Department of computer Engineering, College of Computer Science, King Khalid University, Main Campus, Al farah Abha, 61421, Kingdom of Saudi Arabia.
The DFT was employed to assess the ion-storage capability of an irida-graphene monolayer (IGM) in Mg-ion batteries (MIBs). The IGM had a mechanically stable structure. The IGM also exhibited great conductance based on the DOS calculations.
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December 2024
Associate Professor, Department Biostatistics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Analog processed cheeses are cheese-like products with diverse compositions and functional properties that are produced by replacing milk components with non-milk components. The aim of the study was to investigate physicochemical, rheological and sensory properties of cheeses and oleogels. The results showed; that increasing the concentration of Mono and di-glyceride increased the oil binding capacity and improved the characteristics of the oleogel texture and stable during storage, especially in terms of oxidative.
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December 2024
Key Laboratory of Green Processing and Intelligent Manufacturing of Lingnan Specialty Food of Ministry and Rural Affairs, College of Light Industry and Food, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China. Electronic address:
'Tuogu' and 'Bingtang' plums display unique textural responses to salt curing, manifesting in volume reduction, surface wrinkling, and alterations in color and texture, alongside ongoing material exchange. Over a seven-day salting period, 'Tuogu' plums lost 14.9 % of their moisture, compared to 'Bingtang' plums' 24.
View Article and Find Full Text PDFJ Colloid Interface Sci
December 2024
School of Environmental and Materials Engineering, Yantai University, Yantai 264005, China. Electronic address:
Vanadium-based oxides hold immense promise as cathode materials for aqueous zinc-ion batteries (AZIBs); however, their practical implementation faces a significant hurdle: a prolonged activation period is typically required to achieve peak performance. This activation process, which often requires hundreds of cycles, arises from the complex behavior of mixed-valence vanadium systems. In this paper, we propose a solution based on an elegant and simple electrical activation strategy.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Computer Science, College of Education for Pure Sciences, University of Basrah, Basrah, Iraq.
Vehicular Ad-hoc Networks (VANETs) are growing into more desirable targets for malicious individuals due to the quick rise in the number of automated vehicles around the roadside. Secure data transfer is necessary for VANETs to preserve the integrity of the entire network. Federated learning (FL) is often suggested as a safe technique for exchanging data among VANETs, however, its capacity to protect private information is constrained.
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