Understanding the connections between climate change, air pollution, and human health in Africa: Insights from a literature review

Journal of Environmental Science and Health Part C, Journal Year: 2023, Volume and Issue: 41(3-4), P. 77 - 120

Published: Oct. 2, 2023

Climate change and air pollution are two interconnected global challenges that have profound impacts on human health. In Africa, a continent known for its rich biodiversity diverse ecosystems, the adverse effects of climate particularly concerning. This review study examines implications health well-being in Africa. It explores intersection these factors their impact various outcomes, including cardiovascular disease, respiratory disorders, mental health, vulnerable populations such as children elderly. The highlights disproportionate groups emphasizes need targeted interventions policies to protect Furthermore, it discusses role exacerbating potential long-term consequences public also addresses importance considering temperature precipitation changes modifiers pollution. By synthesizing existing research, this aims shed light complex relationships highlight key findings, knowledge gaps, solutions mitigating region. insights gained from can inform evidence-based mitigate promote sustainable development

Language: Английский

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Identification of influential weather parameters and seasonal drought prediction in Bangladesh using machine learning algorithm

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Jan. 4, 2024

Abstract Droughts pose a severe environmental risk in countries that rely heavily on agriculture, resulting heightened levels of concern regarding food security and livelihood enhancement. Bangladesh is highly susceptible to hazards, with droughts further exacerbating the precarious situation for its 170 million inhabitants. Therefore, we are endeavouring highlight identification relative importance climatic attributes estimation seasonal intensity frequency Bangladesh. With period forty years (1981–2020) weather data, sophisticated machine learning (ML) methods were employed classify 35 agroclimatic regions into dry or wet conditions using nine parameters, as determined by Standardized Precipitation Evapotranspiration Index (SPEI). Out 24 ML algorithms, four best methods, ranger, bagEarth, support vector machine, random forest (RF) have been identified prediction multi-scale drought indices. The RF classifier Boruta algorithms shows water balance, precipitation, maximum minimum temperature higher influence occurrence across trend spatio-temporal analysis indicates, has decreased over time, but return time increased. There was significant variation changing spatial nature intensity. Spatially, shifted from northern central southern zones Bangladesh, which had an adverse impact crop production rural urban households. So, this precise study important implications understanding how mitigate impacts. Additionally, emphasizes need better collaboration between relevant stakeholders, such policymakers, researchers, communities, local actors, develop effective adaptation strategies increase monitoring meticulous management

Language: Английский

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Drought analysis using normalized difference vegetation index and land surface temperature over Niamey region, the southwestern of the Niger between 2013 and 2019

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 52, P. 101689 - 101689

Published: Feb. 10, 2024

Semi-arid regions are highly susceptible to drought due their low annual precipitation and ecological vulnerability climate change. This study focuses on the Niamey region in southwestern Niger employs Vegetation Health Index (VHI) assess severity its changes. Using data from Landsat 8 OLI/TIRS, including Normalized Difference (NDVI) Land Surface Temperature (LST), we derived Condition (VCI), (TCI), for 2013 2019. Analysis of time series 2019 reveals that experienced severe drought, with 62.31 km2 42.35 km2, respectively, facing a lack precipitation. Notably, extreme droughts covered large area 55.75 accounting 13.94 % region, indicating an increase frequency Furthermore, NDVI values ranged 0.50 − 0.18, while those 0.57 0.20. Additionally, relationship between LST appeared be linear inversely proportional both (R2 = 0.34, P 0.58) 0.06, 0.25). Rising demonstrated significant effects plants, surface features playing crucial role. The significance this research is understand has impact agriculture, water resources development. Remote sensing monitor high resolution over areas showed patterns distribution during period Niamey. could provide valuable insights into land environmental planning tropical regions.

Language: Английский

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Impact assessment of agricultural droughts on water use efficiency in different climatic regions of Punjab Province Pakistan using MODIS time series imagery

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(7)

Published: July 1, 2024

Abstract Drought is the most destructive phenomenon that distresses terrestrial carbon cycle balance and crop production. The variation in evapotranspiration (ET) gross primary productivity (GPP) a significant cause of agricultural drought effects on water use efficiency. This study aims to evaluate impact WUE it's anomalies different climate regions. standard vegetation index was used measure extent drought. calculated using ratio ET, GPP, classification De Martonne method. conducted over last 22 years, from 2001 2022. Meanwhile, 2001, 2002, 2014, 2018 were considered high years based 22‐year analysis. According remote sensing analysis ET increased throughout all regions more strongly arid zone than humid Humid areas vital due ones. badge with severity across climates except very zone. saw faster recovery times ones, experienced severe droughts. findings this research are essential for understanding cycles agriculture management. helped analyse varying change. significance includes informing agricultural, resource, management planning Punjab Province, an region vulnerable holds important learnings worldwide. It has practical scientific importance regarding systems' specific stresses responses

Language: Английский

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Advancements in drought using remote sensing: assessing progress, overcoming challenges, and exploring future opportunities

Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 155(6), P. 4251 - 4288

Published: March 5, 2024

Language: Английский

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Status of seawater intrusion in Mexico: A review

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 57, P. 102189 - 102189

Published: Jan. 15, 2025

Language: Английский

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Drought Risk Management in Ethiopia: A Systematic Review

Journal of Energy Environmental & Chemical Engineering, Journal Year: 2025, Volume and Issue: 10(1), P. 1 - 11

Published: Jan. 22, 2025

Ethiopia faces significant vulnerability to climate change due its limited adaptive capacity and heavy reliance on rain-fed agriculture for livelihoods. Drought, a critical aspect of change, is persistent silent disaster that gradually affects extensive areas across the country. Unlike sudden natural disasters such as floods or tornadoes, impacts drought develop slowly are not immediately apparent. This paper examines risk management in Ethiopia, country recurrent droughts fanned by significantly impacting millions people, particularly rural areas. The aim investigate socio-environmental challenges raised water scarcity, which agricultural productivity, food security, public health. study emphasizes importance integrated strategies combine government initiatives, community engagement, international support enhance resilience among vulnerable populations. implementation Productive Safety Net Program (PSNP), community-driven adaptation measures, role social capital fostering cooperation resource sharing during crises key strategy short term adaptation. Advanced monitoring predictive technologies improve preparedness response events crucial. By addressing both technical dimensions management, this research contributes development sustainable solutions mitigate promote long-term Ethiopia.

Language: Английский

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Remote Sensing and Soil Moisture Sensors for Irrigation Management in Avocado Orchards: A Practical Approach for Water Stress Assessment in Remote Agricultural Areas

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(4), P. 708 - 708

Published: Feb. 19, 2025

Water scarcity significantly challenges agricultural systems worldwide, especially in tropical areas such as the Dominican Republic. This study explores integrating satellite-based remote sensing technologies and field-based soil moisture sensors to assess water stress optimize irrigation management avocado orchards Puerto Escondido, Using multispectral imagery from Landsat 8 9 satellites, key vegetation indices (NDVI SAVI) NDWI, a water-related index that specifically indicates changes crop contents, rather than vigor, were derived monitor health, growth stages, contents. Crop coefficient (Kc) values calculated these combined with reference evapotranspiration (ETo) estimates three meteorological models (Hargreaves–Samani, Priestley–Taylor, Blaney–Criddle) requirements. The results revealed data at 30 cm depth strongly correlated satellite-derived estimates, reflecting trees’ critical root zone dynamics. Additionally, seasonal patterns showed NDVI SAVI effectively tracked vegetative while NDWI indicated canopy content, particularly during periods of stress. Integrating field measurements allowed comprehensive assessment requirements stress, providing valuable insights for improving practices. Finally, this demonstrates potential large-scale assessment, offering scalable cost-effective solution optimizing practices water-limited regions. These findings advance precision agriculture, environments, provide foundation future research aimed enhancing accuracy

Language: Английский

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Integrating Remote Sensing, GIS, and AI Technologies in Soil Erosion Studies

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: March 7, 2025

Soils are one of the most valuable non-renewable natural resources, and conserving them is critical for agricultural development ecological sustainability because they provide numerous ecosystem services. Soil erosion, a complex process caused by forces such as rainfall wind, poses significant challenges to ecosystems, agriculture, infrastructure, water quality, necessitating advanced monitoring modeling techniques. It has become global issue, threatening systems food security result climatic changes human activities. Traditional soil erosion field measurement methods have limitations in spatial temporal coverage. The integration new techniques remote sensing (RS), geographic information (GIS), artificial intelligence (AI) revolutionized our approach understanding managing erosion. RS technologies widely applicable investigations due their high efficiency, time savings, comprehensiveness. In recent years, advancements sensor technology resulted fine spatial-resolution images increased accuracy detection mapping purposes. Satellite imagery provides data on land cover properties, whereas digital elevation models (DEMs) detailed required assess slope flow accumulation, which important factors modeling. GIS enhances analysis integrating multiple datasets, making it easier identify hot spots utilizing like Revised Universal Loss Equation (RUSLE) estimate loss guide management decisions. Furthermore, AI techniques, particularly machine learning (ML) deep (DL), significantly improve predictions analyzing historical extracting relevant features from imagery. These use convolutional neural networks (CNNs) augmentation, well risk factors. Additionally, innovative methods, including biodegradable materials, hydroseeding, autonomous vehicles precision being developed prevent mitigate effectively. Although specific case studies demonstrate successful implementation this integrated framework variety landscapes, ongoing availability model validation must be addressed. Ultimately, collaboration RS, GIS, not only but also paves way effective control strategies, underscoring importance continued research vital area. This chapter addresses basic concerns related application erosion: concepts, acquisition, tools, types, management, visualization, an overview type its role

Language: Английский

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Investigating the hydropower plants production and profitability using system dynamics approach

Journal of Energy Storage, Journal Year: 2021, Volume and Issue: 46, P. 103919 - 103919

Published: Dec. 31, 2021

Language: Английский

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