Stochastic Environmental Research and Risk Assessment, Год журнала: 2024, Номер unknown
Опубликована: Дек. 31, 2024
Язык: Английский
Stochastic Environmental Research and Risk Assessment, Год журнала: 2024, Номер unknown
Опубликована: Дек. 31, 2024
Язык: Английский
Sustainability, Год журнала: 2024, Номер 16(14), С. 6108 - 6108
Опубликована: Июль 17, 2024
This study prioritized initiatives within the China–Pakistan Economic Corridor (CPEC), foreign funding, and associated environmental national issues. Additionally, it analyzed these factors’ effects on improving infrastructure, commerce, economic cooperation between China Pakistan. Besides that, also studies current climatic, economic, political challenges, mainly focused water agriculture Climate, issues affect environment. These concerns deserve global attention. Pakistan relies agriculture, its scarcity predisposes to losses, urbanization, many socioeconomic problems. Climate change flood have devastated sector. Water affects too significantly impacts economy food resources. The nation has not previously experienced such a profoundly distressing epoch. faced several environmental, challenges; specifically, fields of present notable apprehensions. Unfavorable climatic conditions impede attainment sustainable in Considering strong reliance resources, is crucial acknowledge that industrialization resulted substantial contamination due presence microplastics heavy metals. Moreover, South Asian region experiences significant CPEC solution for financial issues, but big challenge degradation stage, especially since funding key increasing corruption bringing more burden economy. Unfortunately, good To ensure safety, security, sustainability, projects should follow regulations. provides new list initiative priority tasks openly disrupt initiative, serve whole project, give appropriate recommendations future research policy-making.
Язык: Английский
Процитировано
10Sustainable Horizons, Год журнала: 2025, Номер 14, С. 100126 - 100126
Опубликована: Янв. 9, 2025
Язык: Английский
Процитировано
1Results in Engineering, Год журнала: 2024, Номер 22, С. 102354 - 102354
Опубликована: Июнь 1, 2024
Growing population, burgeoning economic growth and technological advancements have caused a surge in electricity demand worldwide. In recent years, Pakistan, contributing less than 1% to global greenhouse gas emissions, has endured severe weather, including the 2022 floods that affected nearly 30 million people. Pakistan is developing country signatory of Paris accord made an international commitment cut down its GHG emissions. To date, total generation about 122,934 GWh, from which 60.9% (744,862 GWh) met by thermal sources (coal, oil gas), 23.7% (29,181 hydel, 12.4% (15,182 nuclear 3% (3709 done through renewable energy sources. The for rising exponentially, around fulfilled hydrocarbons. This study introduces novel approach assessing sector's emissions using CO2, CH4, N2O, expanding beyond traditional focus on CO2 alone. work uses time-varying carbon intensity calculate and, subsequently, fossil fuel-driven electrical systems. One notable aspect this capability with more frequent temporal resolution, frequently. peak are observed January December at values 650gCO2-eq/kWh 550gCO2-eq/kWh respectively, causing smog issues country. Results show during January, February, October, November relatively higher due unavailability hydel resources.
Язык: Английский
Процитировано
7Journal of Cleaner Production, Год журнала: 2024, Номер 467, С. 142931 - 142931
Опубликована: Июнь 18, 2024
Язык: Английский
Процитировано
7Global and earth surface processes change., Год журнала: 2024, Номер 1, С. 100001 - 100001
Опубликована: Июнь 1, 2024
Язык: Английский
Процитировано
4Theoretical and Applied Climatology, Год журнала: 2025, Номер 156(2)
Опубликована: Янв. 15, 2025
Язык: Английский
Процитировано
0Materials Today Electronics, Год журнала: 2025, Номер unknown, С. 100136 - 100136
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Quaternary Science Reviews, Год журнала: 2025, Номер 352, С. 109203 - 109203
Опубликована: Янв. 25, 2025
Язык: Английский
Процитировано
0Forests, Год журнала: 2025, Номер 16(2), С. 330 - 330
Опубликована: Фев. 13, 2025
Consistent and accurate data on forest biomass carbon dynamics are essential for optimizing sequestration, advancing sustainable management, developing natural climate solutions in various ecosystems. This study quantifies the designated forests based GEDI LiDAR datasets with a unique compartment-level monitoring of unexplored hilly areas Mansehra. The integration multisource explanatory variables, employing machine learning models, adds further innovation to reliable above ground (AGB) estimation. Integrating Landsat-9 vegetation indices ancillary improved estimation, random algorithm yielding best performance (R2 = 0.86, RMSE 28.03 Mg/ha, MAE 19.54 Mg/ha). Validation field point-to-point basis estimated mean above-ground 224.61 closely aligning measurement 208.13 Mg/ha 0.71). overall AGB model 189.42 moist temperate area. A critical deficit sequestration potential was analysed, 2022, at 19.94 thousand tons, 0.83 tons nullify CO2 emissions (20.77 tons). proposes estimation reliability offers insights into potential, suggesting policy shift decision-making change mitigation policies.
Язык: Английский
Процитировано
0International Journal of Biological Macromolecules, Год журнала: 2025, Номер unknown, С. 142468 - 142468
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
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