Landfill cover is a barrier that can reduce landfill gas emission. Vegetation could affect soil hydraulic properties of landfill cover, while its effects on gas permeability is not well understood. This paper investigated the effects of plant roots on the evolution of gas permeability (k) in unsaturated landfill cover over a two-year period. One grass species (Cynodon dactylon) was selected for testing in the laboratory and there were six replications. Bare soil was used as a reference. k was determined after 6, 15 and 24 months of grass growth. The test results show that with the increase of suction, k increased linearly in log scale for both bare and grass-covered soils. k of grass-covered can be lower or higher than that of bare soil, depending on the plant age. After 6 months, k of grass-covered soil was smaller than that of bare soil by 85%, due to the root occupancy of soil pore space. However, after 15 and 24 months, k of grass-covered soil increased by 2-3 orders of magnitude within the root zone over the suction range considered (2-86 kPa). After 2 years, k of grass-covered soil was up to one order of magnitude higher than that in bare soil. It implies that mature vegetation is not beneficial for reducing gas emission in final landfill covers.
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http://dx.doi.org/10.1016/j.scitotenv.2019.02.248 | DOI Listing |
Sci Rep
January 2025
Department of Wildlife Fisheries and Aquaculture, College of Forest Resources, Mississippi State University, Mississippi State, MS, 39762-9690, USA.
The increasing trend in land surface temperature (LST) and the formation of urban heat islands (UHIs) has emerged as a persistent challenge for urban planners and decision-makers. The current research was carried out to study the land use and land cover (LULC) changes and associated LST patterns in the planned city (Kabul) and the unplanned city (Jalalabad), Afghanistan, using Support Vector Machine (SVM) and Landsat data from 1998 to 2018. Future changes in LULC and LST were predicted for 2028 and 2038 using Cellular Automata-Markov (CA-Markov) and Artificial Neural Network (ANN) models.
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January 2025
International Livestock Research Institute (ILRI), Human and Animal Health, Berlin, Germany.
Crimean Congo hemorrhagic fever (CCHF) is a re-emerging tick-borne zoonosis that is caused by CCHF virus (CCHFV). The geographical distribution of the disease and factors that influence its occurrence are poorly known. We analysed historical records on its outbreaks in various countries across the sub-Saharan Africa (SSA) to identify hotspots and determine socioecological and demographicfactors associated with these outbreaks.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Department of Natural Resource Management, College of Agriculture and Veterinary Medicine, Jimma University, Jimma, Ethiopia.
Assessing the impacts of forest cover change on carbon stock and soil moisture dynamics is critical for understanding environmental degradation and guiding sustainable land management. This study evaluates the effects of forest cover change on carbon stock and soil moisture dynamics in Nensebo Forest from 1993 to 2023 using geospatial techniques. Landsat imagery including TM (1993), ETM + (2009), and OLI/TIRS (2023) were used.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
PG & Research Department of Physics, A.V.V.M Sri Pushpam College (Autonomous), [Affiliated to Bharathidasan University, Tiruchirappalli], Poondi, Thanjavur-613503, Tamil Nadu, India.. Electronic address:
Development of bio-supported photocatalysts has become a pressing need in the field of environmental remediation. This work reports the synthesis of bio-enzyme (from banana peels) inherited (ZnO/g-CN) nanocomposite by simple soft chemical method and its photocatalytic degradation ability against the mixed dye (Methylene blue (MB) + Rhodamine-B (RhB)) under UV irradiation. Synthesized nanoparticles were characterized using experimental techniques XRD, FESEM, TEM, EDAX, XPS, UVvis-NIR spectroscopy and FTIR.
View Article and Find Full Text PDFEcol Evol
January 2025
Department of Agricultural, Food and Environmental Sciences Università Politecnica delle Marche Ancona Italy.
This study investigates climate change impacts on spontaneous vegetation, focusing on the Mediterranean basin, a hotspot for climatic changes. Two case study areas, Monti Sibillini (central Italy, temperate) and Sidi Makhlouf (Southern Tunisia, arid), were selected for their contrasting climates and vegetation. Using WorldClim's CMCC-ESM2 climate model, future vegetation distribution was predicted for 2050 and 2080 under SSP 245 (optimistic) and 585 (pessimistic) scenarios.
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