Assessment and prediction of meteorological drought using machine learning algorithms and climate data

Climate Risk Management, Год журнала: 2024, Номер 45, С. 100630 - 100630

Опубликована: Янв. 1, 2024

Monitoring drought in semi-arid regions due to climate change is of paramount importance. This study, conducted Morocco's Upper Drâa Basin (UDB), analyzed data spanning from 1980 2019, focusing on the calculation indices, specifically Standardized Precipitation Index (SPI) and Evapotranspiration (SPEI) at multiple timescales (1, 3, 9, 12 months). Trends were assessed using statistical methods such as Mann-Kendall test Sen's Slope estimator. Four significant machine learning (ML) algorithms, including Random Forest, Voting Regressor, AdaBoost K-Nearest Neighbors evaluated predict SPEI values for both three 12-month periods. The algorithms' performance was measured indices. study revealed that distribution within UDB not uniform, with a discernible decreasing trend values. Notably, four ML algorithms effectively predicted specified demonstrated highest Nash-Sutcliffe Efficiency (NSE) values, ranging 0.74 0.93. In contrast, algorithm produced range 0.44 0.84. These research findings have potential provide valuable insights water resource management experts policymakers. However, it imperative enhance collection methodologies expand measurement sites improve representativeness reduce errors associated local variations.

Язык: Английский

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Evaluating water quality, mineralization mechanisms, and potential health risks of nitrate contamination in the Continental Intercalaire aquifer of Reggane, Algeria

Environmental Earth Sciences, Год журнала: 2024, Номер 83(18)

Опубликована: Сен. 1, 2024

Язык: Английский

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The Role of Artificial Intelligence in Advancing Food Safety: A Strategic Path to Zero Contamination

Food Control, Год журнала: 2025, Номер unknown, С. 111292 - 111292

Опубликована: Март 1, 2025

Язык: Английский

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Spatial distribution of hazard index via heavy metals consumption in water from the Himalayan lacustrine ecosystems

Physics and Chemistry of the Earth Parts A/B/C, Год журнала: 2025, Номер unknown, С. 103858 - 103858

Опубликована: Янв. 1, 2025

Язык: Английский

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Groundwater quality assessment for drinking and irrigation uses within the vicinities of Volta Lake and Akosombo Dam in Ghana: a multi-methodological approach

Environmental Earth Sciences, Год журнала: 2025, Номер 84(7)

Опубликована: Март 26, 2025

Язык: Английский

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Sustainable agricultural water management in the Yellow River Basin, China

Agricultural Water Management, Год журнала: 2023, Номер 288, С. 108473 - 108473

Опубликована: Авг. 5, 2023

The Yellow River Basin, which accommodates the second longest river in China – River, covers a total area of 795,000 km2 and plays an important role national agricultural production, economy, culture. However, Basin also faces enormous challenges related to sustainable water management agriculture as driven by both drought flood. In this special issue, we collected 64 articles across improve our understanding needs demonstrate efficacies practices management. present exciting research on regional soil storage dynamics, moisture conservation rain-fed agriculture, crop demand, irrigation effects, water-nutrient coupling, salinity, nutrient losses, groundwater science Findings studies revealed: (1) importance mulching, drip negative pressure irrigation, coupling (i.e., fertigation) achieving production environmental protection objectives; (2) emerging for better resources allocation among different land uses cropping systems, new approaches conserving mitigating system-level integrated rainfall management, improved knowledge quantity quality management; (3) need future understand processes efficiencies variable landscapes systems changing climates, linkages analyses balance availability losses sustainability.

Язык: Английский

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Advanced stacked integration method for forecasting long-term drought severity: CNN with machine learning models

Journal of Hydrology Regional Studies, Год журнала: 2024, Номер 53, С. 101759 - 101759

Опубликована: Апрель 11, 2024

Eight governorates in upper Egypt namely Aswan, Asyut, Beni-Suef, Fayoum, Luxor, Minya, Qena and Sohag. This study aims to develop novel hybrid machine learning (ML) models for forecasting the drought phenomena based on limited inputs eight Egyptian govern-orates, ii) evaluate performance accuracy of developed ML predicting Palmer Drought Severity Index (PDSI) recommend optimal model statistical metrics. The were Convolution Neural Networks (CNN)-Long Short-Term Memory (LSTM), CNN-Random Forest (RF), CNN-Support Vector Machine (SVR), CNN-Extreme Gradient Boosting (XGB). Results showed that CNN-LSTM outperformed others followed by CNN-RF. Values NSE, MAE, MARE, IA, R2, RMSE 0.885, 0.915, − 2.073, 0.967, 0.573, respectively. For testing stage CNN-SVR was found perform best; average values 0.828, 0.364, 2.903, 0.950, 0.828 0.688, provided a way forward convenient estimation PDSI from meteorological data terms advancing deep algorithms. models, more or less, can satisfactory predict values. Additionally, suggests as most suitable advance future investigation area.

Язык: Английский

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Assessment of groundwater potential zone mapping for semi-arid environment areas using AHP and MIF techniques

Environmental Sciences Europe, Год журнала: 2024, Номер 36(1)

Опубликована: Апрель 29, 2024

Abstract Groundwater resources are essential for drinking water, irrigation, and the economy mainly in semiarid environments where rainfall is limited. Currently, unpredictable due to climate change pollution on Earth’s surface directly affects groundwater resources. In this area, most people depend irrigation purposes, every summer, of area depends a environment. Hence, we selected two popular methods, analytical hierarchy process (AHP) multiple influence factor (MIF) which can be applied map potential zones. Nine thematic layers, such as land use cover (LULC), geomorphology, soil, drainage density, slope, lineament elevation, level, geology maps, were study using remote sensing geographic information system (GIS) techniques. These layers integrated ArcGIS 10.5 software with help AHP MIF methods. The zones revealed four classes, i.e., poor, moderate, good, very based MF zone 241.50 (ha) Poor, 285.64 408.31 92.75 good method. Similarly, method that classes divided into classes: 351.29 511.18 (ha), 123.95 41.78 good. results compared determine methods best planning water resource development specific areas have basaltic rock drought conditions. Both maps validated yield data. receiver operating characteristic (ROC) curve under (AUC) model found 0.80 (good) 0.93 (excellent) respectively; hence, delineation planning. present study’s framework will valuable improving efficiency conserving rainwater maintaining ecosystem India.

Язык: Английский

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Optimization of nitrogen regulates the ionic homeostasis, potassium efficiency, and proline content to improve the growth, yield, and quality of maize under salinity stress

Environmental and Experimental Botany, Год журнала: 2024, Номер 226, С. 105836 - 105836

Опубликована: Июнь 28, 2024

Язык: Английский

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Integration of organic, inorganic and bio fertilizer, improve maize-wheat system productivity and soil nutrients

Journal of Plant Nutrition, Год журнала: 2024, Номер 47(15), С. 2494 - 2510

Опубликована: Май 20, 2024

The decline in crop yields is attributed to uneven chemical fertilization practices and poor soil fertility. From a sustainability perspective, the application of beneficial microorganisms alongside blend inorganic organic fertilizers significantly influences productivity food security. Concerns within scientific community arise from haphazard negligent use fertilizers. Farming communities predominantly reliant on often overlook alternatives, leading gradual matter native nutrient levels, ultimately resulting decreased yields. In diverse cropping systems, amalgamation chemical, biological, sources sustains health, replenishes nutrients, optimizes Plant residues enhance microbial activity, expedite cycling availability, aid preserving health through carbon sequestration. Regular utilization plant other materials enriches content, enhancing productivity. Integrating presents potential avenue maize soybean maize-wheat subsequently benefiting wheat profitability. efficacy specific nutrients can be heightened by combining with various techniques. Hence, incorporating phosphorus phosphorus-mobilizing solubilizing agents (such as Trichoderma & PSB), along integrated management peach waste including residues, compost, biochar, imperative for promoting growth, increasing seed yields, fostering environmental sustainability.

Язык: Английский

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