Countries participating in the Amazon Cooperation Treaty Organization have few options for the environmentally appropriate final disposal of municipal solid waste. Thus, sustainable practices aimed at reducing the negative effects of such a disposal on the environment are complex and hard to accomplish, since solid waste generation per capita proportionally increases as populations grow (≈ 2.7% > world average), mainly in countries inserted in Amazon Cooperation Treaty Organization. Thus, demographic, socioeconomic, management, and ecological factors represented by 18 independent variables were statistically analyzed to explain waste per capita variation in Amazonian countries and sub-regions. Multiple Kruskal-Wallis tests were applied; 13 of them recorded significant results (p < 0.05). Subsequently, simple and multivariate regression analyses were carried out by taking into consideration waste per capita and significant variables. Simple regression results recorded for variables "IAC" and "Gini index" were significant (R = 60.09%, R = 30.83%), with emphasis on "Amazon biome" (DF = 33, p < 0.01, R = 5.34%). Multivariate models resulted in wide explainability variation, depending on the number and type of available variable (54.47% ≤ R ≤ 70.83%), with emphasis on "IAC," "Ptot," "Purb," "Wton," "Lon," Area, "HDI," "Gini," and "SDG11" (p < 0.01). In conclusion, waste per capita estimation models can present variations and geographical interdependencies due to different variables and factors that reflect the current public policies and municipal solid waste management practices.
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http://dx.doi.org/10.1007/s11356-022-18509-3 | DOI Listing |
Nat Commun
January 2025
State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, PR China.
Heterotrophic denitrifiers play crucial roles in global carbon and nitrogen cycling. However, their inability to oxidize sulfide renders them vulnerable to this toxic molecule, which inhibits the key enzymatic reaction responsible for reducing nitrous oxide (NO), thereby raising greenhouse gas emissions. Here, we applied microcosm incubations, community-isotope-corrected DNA stable-isotope probing, and metagenomics to characterize a cohort of heterotrophic denitrifiers in estuarine sediments that thrive by coupling sulfur oxidation with denitrification through chemolithoheterotrophic metabolism.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Department of Environmental Science and Engineering, Indian Institute of Technology (ISM), Dhanbad, 826004, Jharkhand, India.
This study employs mechanically synthesized nano-scrap carbon iron filings (nSCIF) as a cost-effective and sustainable catalyst in heterogeneous electro-Fenton process. The catalytic behaviour of nSCIF was studied for the oxidation of cytarabine (CBN) under the influence of various experimental parameters such as pH, catalyst dose and applied current density. The highest removal efficiency (~ 99%) was achieved in 90 min of reaction at pH 3, 0.
View Article and Find Full Text PDFChemosphere
January 2025
Department of Environmental Sciences, Government College University Faisalabad, Faisalabad, 38000, Pakistan; Department of Biological Sciences and Technology, China Medical University, Taichung, 40402, Taiwan. Electronic address:
The toxic tannery solid waste leachate (TSWL) containing heavy metals is generated after the percolation of rainwater in openly dumped tannery solid waste (TSW) which poses a serious threat to the surroundings by leaching down and bioaccumulation. For its management, the phytoextraction potential of Pistia stratiotes L. and Spirodela polyrhiza L.
View Article and Find Full Text PDFWaste Manag
January 2025
Dipartimento di Scienze della Terra, dell'Ambiente e delle Risorse (DiSTAR), Università degli Studi di Napoli "Federico II", Naples, Italy. Electronic address:
An accurate assessment of leachate levels necessitates the integration of various parameters. Traditional geophysical prospecting methods often lack measurable accuracy because they focus on individual parameters rather than effectively integrating data. This may lead to inconsistent estimates of leachate depth and make the evaluation of prediction reliability challenging.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Civil Engineering Department, University Department, Rajasthan Technical University, Kota, Rajasthan, 324010, India.
The current study investigates the relationship between urbanization, solid waste generation, and environmental changes in Kota city from 2000 to 2023. The study employs Google Earth Engine (GEE) to analyze land use and land cover (LULC) classification, normalized difference vegetation index (NDVI), normalized difference modified water index (NDMWI), normalized difference built-up index (NDBI), land surface temperature (LST), and predict future LULC changes up to 2043. The results show that the built-up area increased by 122.
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