Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data

Remote Sensing, Год журнала: 2024, Номер 16(5), С. 928 - 928

Опубликована: Март 6, 2024

Wetlands provide vital ecological and socioeconomic services but face escalating pressures worldwide. This study undertakes an integrated spatiotemporal assessment of the multifaceted vulnerabilities shaping Khinjhir Lake, ecologically significant wetland ecosystem in Pakistan, using advanced geospatial machine learning techniques. Multi-temporal optical remote sensing data from 2000 to 2020 was analyzed through spectral water indices, land cover classification, change detection risk mapping examine moisture variability, modifications, area changes proximity-based threats over two decades. The random forest algorithm attained highest accuracy (89.5%) for classification based on rigorous k-fold cross-validation, with a training 91.2% testing 87.3%. demonstrates model’s effectiveness robustness vulnerability modeling area, showing 11% shrinkage open bodies since 2000. Inventory zoning revealed 30% present-day areas under moderate high vulnerability. cellular automata–Markov (CA–Markov) model predicted continued long-term declines driven by swelling anthropogenic like 29 million population growth surrounding Lake. research integrating satellite analytics, algorithms spatial generate actionable insights into guide conservation planning. findings robust baseline inform policies aimed at ensuring health sustainable management Lake wetlands human climatic that threaten functioning these ecosystems.

Язык: Английский

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Toward sustainable development goals 7 and 13: A comprehensive policy framework to combat climate change

Environmental Impact Assessment Review, Год журнала: 2024, Номер 105, С. 107415 - 107415

Опубликована: Янв. 18, 2024

Язык: Английский

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Soil microplastics: Impacts on greenhouse gasses emissions, carbon cycling, microbial diversity, and soil characteristics

Applied Soil Ecology, Год журнала: 2024, Номер 197, С. 105343 - 105343

Опубликована: Фев. 26, 2024

Язык: Английский

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From resource curse to green growth: Exploring the role of energy utilization and natural resource abundance in economic development

Natural Resources Forum, Год журнала: 2024, Номер unknown

Опубликована: Апрель 16, 2024

Abstract This study delves into the profound repercussions of resource curse hypothesis within Brazil, Russia, India, China, and South Africa (BRICS) nations from 1991 to 2022, examining intricate interplay among natural abundance, energy consumption, economic development (ED). Methodologically, it employs cross‐sectionally augmented Dickey–Fuller test assess stationarity utilizes Westerlund cointegration technique analyze cointegration. Subsequently, autoregressive distributive lag model is deployed explore impact availability, renewable non‐renewable utilization, carbon emissions on ED these countries. The findings reveal a stark reality wherein both consumption wield consistently positive influence short‐ long‐term growth across BRICS economies. Particularly striking dominant consumption. However, this comes in contrast adverse effects identified with excessive coal rents, signifying potential setbacks arising rampant exploitation. Furthermore, suboptimal utilization resources hints at detrimental effect ED. These results transcend confines developing nations, underscoring universality hypothesis, affecting developed illuminates grave risks inherent overreliance overexploitation resources, elucidating heightened competition that severely impedes trajectory countries short long terms. Policymakers must prioritize diversification, implement sustainable management, invest innovative technologies mitigate fostering resilience growth. In conclusion, highlights severe stressing imperative for adept management counter linked overdependence bolster

Язык: Английский

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Urban engineering insights: Spatiotemporal analysis of land surface temperature and land use in urban landscape

Alexandria Engineering Journal, Год журнала: 2024, Номер 92, С. 273 - 282

Опубликована: Март 7, 2024

In the field of urban environment engineering, understanding relationship between land surface temperature (LST) and use cover (LULC) is essential in rapidly growing climatically unstable landscapes such as Chengdu. It helps alleviate magnitude intensity Urban Heat Islands (UHIs). Toward this aim, summer winter Landsat images were acquired four years from 1992 to 2021 used extract LULC classes, LST three indices Normalized Difference Vegetation Index (NDVI), Built-up (NDBI), Modified Water (MNDWI) analyze their spatiotemporal associations. Results showed that built-up areas expanded approximately six times (820.82 Km2, 584.96%) 2021. Meanwhile, mean increased both seasons, by 9.94 °C 0.95 winter. The LST-NDBI correlation was significant positive studied (0.437< r <0.874, p=0.00) while a very high variability observed LST-NDVI (-0.835< <0.255, LST-MNDWI (-0.632< <0.628, coefficients. According results, NDBI can be good intra- inter-annual predictor Chengdu, especially context its fast-paced physical expansion increasing UHI.

Язык: Английский

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Appraisal of heavy metal contamination and their source apportionment identification in five river water systems of the coastal areas in Bangladesh

Regional Studies in Marine Science, Год журнала: 2024, Номер 70, С. 103378 - 103378

Опубликована: Янв. 21, 2024

This groundbreaking study conducted a meticulous examination of heavy metal concentrations, including Pb, Cd, Cr, Cu, Co, Ni, Zn, and As, in water samples from five distinct coastal areas Bangladesh. Employing advanced techniques such as flame atomic absorption spectrometry (FAAS) hydride generation AAS, the researchers provided detailed analysis distribution pollution levels. The quantification results illuminated Pb with highest average concentration, followed by As samples. Halda River area stood out an alarming load, exceeding safe limits staggering 58 times, accompanied elevated levels As. Similarly, Naf River, located southernmost part Bangladesh near Saint Martin, exhibited concentrations Cd Ni. Thstudy incorporated spatial maps, revealing consistent pattern concentration river inlets. To gauge pollution, utilized indices quality index (WQI), (MQI), (MPI). Martin emerged most polluted area, particularly concerning drinking irrigation, according to WQI. MQI pinpointed Galachipa (Kuakata) highly terms water. Further using combined approach involving self-organizing maps (SOM), positive matrix factorization (PMF), geographical information systems (GIS) identified anthropogenic activities primary sources pollution. PMF revealed percentage contributions industrial, agricultural, natural for each metal. In essence, this serves clarion call urgent effective management strategies Bangladesh's regions. findings underscore critical need mitigate arising predominantly activities, emphasizing importance safeguarding human health delicate balance aquatic ecosystems region.

Язык: Английский

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Assessment of land use change and carbon emission: A Log Mean Divisa (LMDI) approach

Heliyon, Год журнала: 2024, Номер 10(3), С. e25669 - e25669

Опубликована: Фев. 1, 2024

Changes in land use have a notable influence on carbon emissions since they can affect the levels of stored both soil and vegetation. To effectively analyze factors influencing from change, Log Mean Divisa (LMDI) method is commonly employed. The LMDI decomposition analysis that dissects changes into different factors, including shifts patterns, population growth, economic activity, energy intensity. This approach enables identification specific drivers emission development targeted policy interventions to address them. explore relationship between emissions, method, case study be conducted. involves selecting particular region or country experiencing change examining driving these transformations. Subsequently, applied decompose within selected country, thereby pinpointing major contributors changes. In our study, we observed necessity regulating consumption greenhouse gas urban communities through sustainable practices technologies. research highlighted variations consumption, renewable utilization, public transportation usage among cities China. Moreover, demonstrated patterns their associated alongside findings analysis, which explored based patterns. illuminates importance understanding employing as valuable analytical tool. It underscores significance technologies mitigating areas provides insights role shaping outcomes.

Язык: Английский

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Daily scale air quality index forecasting using bidirectional recurrent neural networks: Case study of Delhi, India

Environmental Pollution, Год журнала: 2024, Номер 351, С. 124040 - 124040

Опубликована: Апрель 27, 2024

Язык: Английский

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Assessing the Impacts of Eco-innovations, Economic Growth, Urbanization on Ecological Footprints in G-11: Exploring the Sustainable Development Policy Options

Journal of the Knowledge Economy, Год журнала: 2024, Номер unknown

Опубликована: Фев. 6, 2024

Язык: Английский

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Unraveling the ecological threads: How invasive alien plants influence soil carbon dynamics

Journal of Environmental Management, Год журнала: 2024, Номер 356, С. 120556 - 120556

Опубликована: Март 26, 2024

Язык: Английский

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