Search Results (176)

Water is essential for ecological balance, environmental sustainability, and food security, particularly in arid regions where effective water management increasingly depends on farmer cooperation. The Samarkand region of Uzbekistan, known for its favorable climate and leading role in grape production, is facing rising drought conditions. This study explores the factors influencing grape farmers’ willingness to collaborate on water management in the districts of Ishtikhan, Payarik, and Kushrabot, which together produce 75–80% of the region’s grapes. A quantitative survey of 384 grape-producing households was conducted across 19 county citizens’ gatherings (38.7% of such gatherings), and structural equation modeling was employed to analyze a framework consisting of four dimensions: norms, environmental concerns, economic barriers, and the intention to adopt sustainable practices. The results indicate that norms and environmental concerns positively influence collaboration, suggesting a collective orientation toward sustainability. In contrast, economic barriers such as high costs and limited financial capacity significantly hinder cooperative behavior. Furthermore, a strong individual intention to adopt sustainable practices was associated with a greater likelihood of collaboration. These findings highlight the critical drivers and constraints shaping collective water use in agriculture and suggest that targeted policy measures and community-led efforts are vital for promoting sustainable water governance in drought-prone regions. Full article

Dams play a vital role in securing water and electricity supplies for households and industry, and they contribute significantly to flood protection. Regular monitoring of dam deformations holds fundamental socio-economic and ecological importance. Traditionally, this has relied on time-consuming in situ techniques that offer either high spatial or temporal resolution. Persistent Scatterer Interferometry (PSI) addresses these limitations, enabling high-resolution monitoring in both domains. Sensors such as TerraSAR-X (TSX) and Sentinel-1 (S-1) have proven effective for deformation analysis with millimeter accuracy. Combining TSX and S-1 datasets enhances monitoring capabilities by leveraging the high spatial resolution of TSX with the broad coverage of S-1. This improves monitoring by increasing PS point density, reducing revisit intervals, and facilitating the detection of environmental deformation drivers. This study aims to investigate two objectives: first, we evaluate the benefits of a spatially and temporally densified PS time series derived from TSX and S-1 data for detecting radial deformations in individual dam segments. To support this, we developed the TSX2StaMPS toolbox, integrated into the updated snap2stamps workflow for generating single-master interferogram stacks using TSX data. Second, we identify deformation drivers using water level and temperature as exogenous variables. The five-year study period (2017–2022) was conducted on a gravity dam in North Rhine-Westphalia, Germany, which was divided into logically connected segments. The results were compared to in situ data obtained from pendulum measurements. Linear models demonstrated a fair agreement between the combined time series and the pendulum data ($R^2$ = 0.5; MAE = 2.3 mm). Temperature was identified as the primary long-term driver of periodic deformations of the gravity dam. Following the filling of the reservoir, the variance in the PS data increased from 0.9 mm to 3.9 mm in RMSE, suggesting that water level changes are more responsible for short-term variations in the SAR signal. Upon full impoundment, the mean deformation amplitude decreased by approximately 1.7 mm toward the downstream side of the dam, which was attributed to the higher water pressure. The last five meters of water level rise resulted in higher feature importance due to interaction effects with temperature. The study concludes that integrating multiple PS datasets for dam monitoring is beneficial particularly for dams where few PS points can be identified using one sensor or where pendulum systems are not installed. Identifying the drivers of deformation is feasible and can be incorporated into existing monitoring frameworks. Full article

Water, the lifeblood of our planet, sustains ecosystems, economies, and communities. However, climate change and increasing hydrological variability have exacerbated global water scarcity, threatening livelihoods and economic stability. According to the United Nations, over 2 billion people currently live in water-stressed regions, a figure expected to rise significantly by 2030. To address this urgent challenge, this study proposes an AI-driven anomaly detection framework for smart water metering networks (SWMNs) using machine learning (ML) techniques and data resampling methods to enhance water conservation efforts. This research utilizes 6 years of monthly water consumption data from 1375 households from Location A, Windhoek, Namibia, and applies support vector machine (SVM), decision tree (DT), random forest (RF), and k-nearest neighbors (kNN) models within ensemble learning strategies. A significant challenge in real-world datasets is class imbalance, which can reduce model reliability in detecting abnormal patterns. To address this, we employed data resampling techniques including random undersampling (RUS), SMOTE, and SMOTEENN. Among these, SMOTEENN achieved the best overall performance for individual models, with the RF classifier reaching an accuracy of 99.5% and an AUC score of 0.998. Ensemble learning approaches also yielded strong results, with the stacking ensemble achieving 99.6% accuracy, followed by soft voting at 99.2% and hard voting at 98.1%. These results highlight the effectiveness of ensemble methods and advanced sampling techniques in improving anomaly detection under class-imbalanced conditions. To the best of our knowledge, this is the first study to explore and evaluate the combined use of ensemble learning and resampling techniques for ML-based anomaly detection in SWMNs. By integrating artificial intelligence into water systems, this work lays the foundation for scalable, secure, and efficient smart water management solutions, contributing to global efforts in sustainable water governance. Full article

Currently, the management, availability, and equitable access to water are some of the most critical environmental challenges in many countries, including Mexico. The Household Water Insecurity Experience Scale (HWISE) offers a more comprehensive and accurate assessment of water insecurity (WI) as well as its relationship to poverty, at the local, state, and national levels, than traditional usage indicators do. Therefore, this study aims to estimate the association between water insecurity and household wellbeing in Mexico, as well as the role of geographic factors. Methods: We analyzed data from 11,512 households that had previously participated in a representative survey at the national, regional, and urban/rural levels. We conducted descriptive and bivariate analyses on the variables of interest according to household WI status. Multivariate logistic regression models were used to determine the association between WI and the geographic, household, and household head variables of interest. Results: The factors associated with a greater odds ratio of household WI were low wellbeing conditions (OR = 1.74, p < 0.01), no running water in the home (OR = 2.71, p < 0.01), a monthly household income less than 6000 Mexican pesos (less than 352 dollars) (OR = 2.31, p = 0.006), living in an urban area (OR = 1.93, p = 0.001), and living in the Mexico State (OR = 3.92, p < 0.01), Mexico City (OR = 3.19, p < 0.01), or Central Pacific (OR = 3.27, p < 0.01) regions. Conclusions: Currently, multiple factors threaten household water security. These findings can inform decision-makers about the driving factors behind gaps in water access, availability, and use in Mexican households, thereby ensuring the “availability and sustainable management of water and sanitation for all”. Full article

Adolescence is a critical period for growth and development, yet research on dietary quality and its influencing factors among Senegalese adolescent girls is limited. This study aims to assess dietary quality, with a focus on dietary diversity (DD), and identify its determinants in a nationally representative sample of adolescent girls in Senegal. A cross-sectional study was conducted in 2023 among 600 girls aged 10–19 years. Food intake was assessed over a seven-day period to evaluate DD. Household food security and sociodemographic data were gathered through face-to-face interviews. Half the sample had adequate DD. As for consumption, 80% had breakfast daily, while the same proportion consumed one snack per day. Fruits and vegetables, meat/poultry/fish, and dairy were consumed daily by less than 25% of the sample. Sweet foods, sweet beverages, and salty and fried food were consumed by less than 10% every day. Not having been sick in the past two weeks (Odds ratio (OR): 1.53, Confidence Interval (CI): 1.05–2.22), taking breakfast daily (OR: 1.89, CI: 1.23–2.93) and micronutrients (OR: 2.75, CI: 1.54–4.92), listening to the radio at least once a week (OR: 1.66, CI: 1.05–2.63), and living in a household with access to an improved source of water (OR: 4.13, CI: 2.28–7.49) were positively associated with adequate DD. Overall, the diet of adolescent girls is of poor quality. Potential determinants of their dietary quality should be considered in future nutrition programs and policies to ensure their optimal growth and development. Full article

Climate variability and land-use changes are critical challenges impacting agriculture globally, with Zimbabwe’s Gwayi catchment area experiencing noticeable effects. This study investigated how smallholder farmers in the region perceive these changes and their influence on agricultural productivity and livelihoods. The research addresses the gap in understanding local farmer experiences with climate change and land-use modifications in the context of food security. A cross-sectional survey (n = 483) was conducted using self-administered questionnaires to capture demographic information, perceptions of climate variability, land-use changes, and their impacts on agriculture. The results indicate a trend of increasing droughts, dry spells, and heatwaves, alongside altered rainfall patterns and rising temperatures, corroborating the observed climate data. Environmental degradation, including deforestation, gully formation, and land expansion, exacerbates these changes. Consequently, farmers reported substantial reductions in crop yields, with 84.05% experiencing significant-to-very negative impacts, alongside declining livestock health (32.51% reporting very negative impacts), increased water scarcity (43.3% reporting drying water sources), and more frequent disease outbreaks. These challenges collectively contributed to heightened food insecurity, with 74.12% of households reporting negative impacts on their food supply. The study underscores the synergistic impacts of climate variability and land-use changes, highlighting the urgent need for climate-smart agricultural practices and sustainable land management to enhance resilience and ensure long-term food security for smallholder farmers in the Gwayi catchment. Full article

Climate variability and extremes adversely affect the agricultural production system, food security, livestock sector, and water resources. With the cumulative effects of climate variability, there is a need to anticipate and develop appropriate adaptation strategies to cope with changing climatic conditions. It is necessary to study the adaptation strategies that are to be followed for climate change to examine the ability of vulnerable communities and people, frequently affected by drought and other climate-related risks, to adapt to climate change impacts. Hence, the present study examined the determinants of various climate change adaptation strategies followed by farmers as a measure to face climate variability, which will be ultimately beneficial and enlightening to policymakers to gain knowledge about the measures to be taken to mitigate the impact of climate change. The study was undertaken using data collected from 105 farm households with an organized pre-tested interview schedule in the central agro-climatic zone of Afghanistan. The multivariate probit econometric model was used to analyze the factors responsible for major adaptation strategies to mitigate the impact of climate change. The key findings of the model indicated that the probability of educated farmers migrating to the non-agricultural sector for employment has increased by 1.3 percent, and those who have more land area have adopted a reduction in irrigation by 5.2 percent as an adaptive mechanism. The study also found that having access to technical guidance from extension officials increased the likelihood of farmers changing their cropping pattern by 18.6 percent and of diversifying their farms by 19.2 percent. On the other hand, expert guidance reduced the likelihood of drilling new bore wells by 20.5 percentage points and decreased the probability of selling livestock by 10.8 percentage points. The results of the study provide policy insights to improve the ability of farmers to modify their practices through improvement in extension services, irrigation infrastructure facilities, watershed development, and climate-resilient agricultural systems. Full article

This study investigates the hydrological, ecological, and socio-economic responses of Ugii Lake—a freshwater body in semi-arid Central Mongolia—to climate variability and anthropogenic pressures. Seasonal field surveys conducted during the spring, summer, and fall of 2023–2024 revealed notable spatial and temporal variation in water quality, with pH ranging from 7.54 to 8.87, EC from 316 to 645 µS/cm, and turbidity between 0.36 and 5.76 NTU. Total dissolved solids (TDS) values and ionic compositions indicated increased salinization in some zones, particularly those exposed to high evaporation and shoreline disturbance. Heavy metal analysis identified elevated levels of aluminum, manganese, and zinc at several sampling points; however, concentrations generally remained within national environmental standards. Vegetation surveys showed that disturbed areas—especially those affected by grazing and tourism—exhibited reduced native plant diversity and dominance of invasive species. Socio-economic interviews with local herders and stakeholders indicated that 67.3% of households experienced declining livestock productivity, and 37.1% reported increased allergies or respiratory symptoms linked to deteriorating environmental conditions. Despite some ongoing conservation efforts, respondents expressed dissatisfaction with enforcement and impact. These findings highlight the need for community-driven, integrated lake management strategies that address environmental degradation, climate adaptation, and rural livelihood security. Full article

Crop diversification is a vital strategy for achieving sustainable agriculture and food security, yet adoption rates remain low. This study examined the socioeconomic factors influencing crop diversification among smallholder farmers. A two-stage sampling procedure was employed to elicit data from 161 farmers solely specializing in crop production. A structured questionnaire was used to collect data, analyzed using descriptive statistics. The multiple linear regression and multivariate probit regression models were applied to assess the socioeconomic factors influencing diversification. The results revealed that smallholders primarily focused on vegetable cultivation (87%), followed by cereals (56%) and legumes (43%). Education level, household size, market access, and the perceived benefits of diversification significantly (p < 0.05) influenced diversification decisions. Also, sources of irrigation water, age, marital status, and farm size were key factors in vegetable diversification, while farming experience, farm size, and perceived benefits influenced legume diversification. Only marital status and farming experience were positively linked to cereal crop diversification. Furthermore, 48.4% of farmers practice intercropping, integrating maize with pumpkins or sugar beans, while 33.5% still rely on monoculture, predominantly maize, due to limited resources. These findings highlight the need for policies and extension support to address socioeconomic barriers and encourage a wider adoption of crop diversification strategies. Full article

Global environmental and climatic changes have become an ever-increasing trepidation worldwide due to the unprecedented changes in temperatures, precipitation, weather, and ecosystems at the international, regional, and local levels. This study attempts to find out the impacts and vulnerabilities of climate-induced hazards and environmental degradation on the lives of Indigenous people in the Chittagong Hill Tracts (CHT), along with finding out the factors of environmental degradation in Indigenous communities. This study also explores the adaptation strategies of Indigenous people in adverse situations in the Chittagong Hill Tracts. For conducting this study, a critical ethnographic approach is adopted, together with participant observation, in-depth interviews (N = 55), and focus group discussions (FGDs) (N = 5, 48 participants), following purposive sampling over one year (October 2019 to October 2020). The findings of this study indicate that climate-induced hazards and environmental crisis brings unprecedented suffering to the lives and livelihoods of Indigenous people. Climate change and variability together with human causes contribute to creating an environmental crisis that threatens food security, creates water scarcity, and disrupts agricultural activities and household properties in Indigenous communities. The findings also indicate that Indigenous people are bound to change their traditional jhum cultivation and adjust their traditional housing structure apart from searching for alternative livelihoods due to climatic events and environmental crises. However, Indigenous people try to adapt to this adverse situation following their life-long experiences and local knowledge. This study helps policymakers as well as governments to understand the major drivers of environmental crisis and climatic events in Indigenous communities, together with finding out the solutions and recuperating the living conditions of the marginalized groups in Bangladesh and beyond. Full article

Climate change is a substantial threat to worldwide food security, affecting the supply, stability, accessibility, and quality of food. This study aimed to explore the impact of climate change on household food security of farming communities in dry zones in Sri Lanka, focusing on water resource limitations and agricultural productivity, using a qualitative case study method with 13 cases. The impact of climate change on farming and food security was identified under the key themes of food production and yield, income and economic stability, water resources and management, food availability and access, nutrition quality, and dietary diversity. The findings revealed that climate change can indirectly affect food security by impacting household and personal incomes. It also influences health, access to clean water, and the ability to utilize food effectively. Such climatic changes significantly impact household food security and distinctly affect nutrition quality and dietary diversity, which are identifiable as the primary food security elements. This study suggests moving other income sources to enhance the economic stability of farming households, adopting new farming techniques, organizing government assistance programs, and establishing social safety nets such as food aid programs and financial support for affected households. Such activities will help to address the decline of yield production that is caused by climate change, and will mitigate the effect that climate change has on household food security. It further emphasizes the need to combine modern policy interventions and the existing domestic adaptation framework. This investigation employs a qualitative research method to explore how communities experience actual climate change effects, including water issues and farm failures. It effectively captures and contributes detailed knowledge to the current research on this subject. Full article

Background: Acute diarrheal disease remains a leading cause of childhood morbidity and mortality, particularly among children under five. Despite being preventable and treatable, cultural, socioeconomic, and familial factors influence home management. This study examined how these factors shape childhood diarrhea care in Ecuador. Objective: To analyze maternal, child, and household characteristics associated with diarrhea management in children under five years of age using data from the 2018 Ecuadorian National Health and Nutrition Survey (ENSANUT). Methods: This cross-sectional study applied logistic regression models to assess the influence of various factors on diarrhea management practices. Results: Maternal education, ethnicity, child’s age, household size, and urban or rural residence significantly influenced diarrhea management. Households with 4–6 persons (OR = 1.584, p < 0.05) and 7–9 persons (OR = 2.006, p < 0.05) had higher odds of receiving medical care. However, the child’s sex, birth order, maternal marital status, and socioeconomic status were not significant predictors. Conclusions: Although most children received some form of healthcare, disparities persisted, particularly in education level, ethnicity, and rural residence. These findings highlight the need for targeted maternal health literacy programs, culturally tailored interventions, and improved water-security initiatives to enhance diarrhea management and reduce inequities in care. Full article

Groundwater is a critical drinking water source in arid regions globally, where reliance on groundwater is highest. However, disparities in groundwater availability, access, and quality pose challenges to water security. This case study employs geostatistical tools, multivariate regression, and clustering analysis to examine the intersection of groundwater level changes (availability), socioeconomic and regulatory factors (access), and nitrate and arsenic contamination (quality) across 1881 groundwater-supplied drinking water service areas in Arizona. Groundwater availability declined over 20-year and 10-year periods, particularly outside designated management areas, with mean annual decline rates ranging from −15.97 to −0.003 m/year. In contrast, increases (0.003 to 13.41 m/year) were concentrated in urban and managed areas. Karst aquifers show long-term resilience but short-term vulnerability. Non-designated areas exhibit mixed effects, reflecting variable management effectiveness. Disparities in groundwater access emerge along various socioeconomic and regulatory lines. Communities with higher Black populations are twice as likely (OR = 2.01, p < 0.001) to experience groundwater declines, while Hispanic/Latino communities have lower depletion risks (OR = 0.92, p < 0.001). Tribal oversight significantly reduces groundwater decline risk (OR = 0.62, p < 0.001), whereas state–primacy areas show mixed effects. Higher female populations correlate with increased groundwater declines, while older populations (65+) experience greater stability. Married-family households and institutional housing are associated with greater declines. Migrant worker housing shows protective effects in long-term models. Rising groundwater levels are associated with higher nitrate and arsenic detection, reinforcing recharge-driven contaminant mobilization. Nitrate exceedance (OR = 1.05) responds more to short-term groundwater changes, while arsenic exceedance persists over longer timescales (OR = 1.01–1.05), reflecting their distinct hydrogeochemical behaviors. Community water systems show higher pollutant detection rates than domestic well areas, suggesting monitoring and infrastructure differences influence contamination patterns. Tribal primacy areas experience lower groundwater declines but show mixed effects on water quality, with reduced nitrate exceedance probabilities; yet they show variable arsenic contamination patterns, suggesting that governance influences availability and contamination dynamics. These findings advance groundwater sustainability research by quantifying disparities across multiple timescales and socio-hydrogeological drivers of groundwater vulnerability. The results underscore the need for expanded managed aquifer recharge, targeted regulatory interventions, and strengthened Tribal water governance to reduce inequities in availability, access, and contamination risk to support equitable and sustainable groundwater management. Full article

Drinking water quality in rural areas is impacted by industrial and agricultural runoff, water treatment infrastructure, and household economic conditions. This study explores the relationship between drinking water quality, water sources, and land cover types in northeastern Kazakhstan. The Water Quality Index (WQI) was calculated for each household and village using the Horton Equation. Land cover was mapped using Sentinel-2 Level-2A imagery. Statistical differences among villages were analyzed through one-way ANOVA and t-tests. A Structural Equation Model (SEM) was built using Maximum Likelihood estimators, with significance set at p < 0.05. Significant variations in manganese, hydrocarbonates, and chlorides were observed based on the distance from the Irtysh River and water sources. Grasslands had the greatest influence on water parameters (−14.89), followed by croplands (5.96), urban lands (2.15), and other land types (2), with forests having the least effect. Biological indicators, such as Actinomycetes sp., were significantly correlated with forests (2.32) and other land cover types. Grasslands reduce mineral content in groundwater, while croplands and forests contribute to mineral enrichment, particularly nitrates from croplands. Urban areas increase chemical loads in groundwater, and manganese levels decrease with distance from the Irtysh River. Chlorides and hydrocarbonates are highest near the river. Rural water treatment infrastructure should be improved, stricter pollution controls should be enforced, and sustainable land use practices should be promoted to reduce agricultural and urban runoff. Additionally, economic incentives for household filtration, regular water quality monitoring, and a coordinated watershed management approach can enhance long-term water security. Full article

Water scarcity is a growing global issue, especially in arid regions like Iran. Global food trade complicates water and food resource management by moving virtual water (the water used to produce goods) between regions. This study uses circular economy principles and life cycle assessment (LCA) to analyze virtual water use across income groups in Iran, focusing on food consumption. This study divided households into three groups: economically vulnerable, middle-class, and affluent. Lower-income households are more water-efficient, using 3.33 L per USD, compared with 0.81 L for middle-class and 0.41 L for affluent households. The per capita virtual water consumption was 3916.7 L for vulnerable groups, 3481.6 L for middle-class, and 3418 L for affluent groups—all higher than the global average. This is because they rely on low-water foods like bread and legumes. Additionally, affluent households consume 80% more red meat, which has a high water footprint. The study calls for policies to promote water-conscious diets, optimize virtual water trade, and integrate sustainability into LCA frameworks. Aligning resource management with circular economy goals can help Iran improve water security and sustainable development. Full article