Mohammed Achite
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View article: Meteorological drought variability and its characterization in sub humid mediterranean region, the Wadi Isser basin of Algeria from 1970 to 2017
Meteorological drought variability and its characterization in sub humid mediterranean region, the Wadi Isser basin of Algeria from 1970 to 2017 Open
In this study, the trend and the persistence in Standardized Precipitation Index (SPI) time series, derived from monthly rainfall data obtained from 26 gauging stations in the Wadi Isser basin (Algeria), have been analyzed using a suite of…
View article: Comparative assessment of standalone and hybrid deep neural networks for modeling daily pan evaporation in a semi-arid environment
Comparative assessment of standalone and hybrid deep neural networks for modeling daily pan evaporation in a semi-arid environment Open
View article: Mapping Soil Erosion Potential in Algeria’s Wadi Mina Basin: Insights from Revised Universal Soil Loss Equation and Geographic Information System for Sustainable Land Management
Mapping Soil Erosion Potential in Algeria’s Wadi Mina Basin: Insights from Revised Universal Soil Loss Equation and Geographic Information System for Sustainable Land Management Open
In this paper, the Revised Universal Soil Loss Equation (RUSLE) model has been employed as a critical analytical instrument to assess the likelihood of soil erosion and pinpoint the most appropriate locations for conservation initiatives i…
View article: Mapping drought characteristics in northern Algerian Basins using the ERA5-Land dataset
Mapping drought characteristics in northern Algerian Basins using the ERA5-Land dataset Open
View article: Advanced Soft Computing Techniques for Monthly Streamflow Prediction in Seasonal Rivers
Advanced Soft Computing Techniques for Monthly Streamflow Prediction in Seasonal Rivers Open
The rising incidence of droughts in specific global regions in recent years, primarily attributed to global warming, has markedly increased the demand for reliable and accurate streamflow estimation. Streamflow estimation is essential for …
View article: A coupled extreme gradient boosting-MPA approach for estimating daily reference evapotranspiration
A coupled extreme gradient boosting-MPA approach for estimating daily reference evapotranspiration Open
View article: Geo-Statistical Characterization of Annual Maximum Daily Rainfall Variability in Semi-Arid Regions
Geo-Statistical Characterization of Annual Maximum Daily Rainfall Variability in Semi-Arid Regions Open
In the Wadi Cheliff basin (Algeria), a 48-year (1971–2018) time series of annual maximum daily rainfall was studied to identify and quantify trends observed at 150 rain gauges. Initial trends in annual maximum daily rainfall were determine…
View article: A combined support vector regression with a firefly algorithm for prediction of energy consumption in wastewater treatment plants
A combined support vector regression with a firefly algorithm for prediction of energy consumption in wastewater treatment plants Open
Wastewater treatment plants (WWTPs) comprise energy-intensive processes, serving as primary contributors to overall WWTP costs. This research study proposes a novel approach that integrates support vector regression (SVR) with the firefly …
View article: Correction: Prediction of monthly groundwater level using a new hybrid intelligent approach in the Tabriz plain, Iran
Correction: Prediction of monthly groundwater level using a new hybrid intelligent approach in the Tabriz plain, Iran Open
View article: Trend Analysis of Hydro-Meteorological Variables in the Wadi Ouahrane Basin, Algeria
Trend Analysis of Hydro-Meteorological Variables in the Wadi Ouahrane Basin, Algeria Open
In recent decades, a plethora of natural disasters, including floods, storms, heat waves, droughts, and various other weather-related events, have brought destruction worldwide. In particular, Algeria is facing several natural hydrometeoro…
View article: Evaluate effect of 126 pre-processing methods on various artificial intelligence models accuracy versus normal mode to predict groundwater level (case study: Hamedan-Bahar Plain, Iran)
Evaluate effect of 126 pre-processing methods on various artificial intelligence models accuracy versus normal mode to predict groundwater level (case study: Hamedan-Bahar Plain, Iran) Open
View article: Analyzing the dynamical relationships between meteorological and hydrological drought of Wadi Mina basin, Algeria using a novel multiscale framework
Analyzing the dynamical relationships between meteorological and hydrological drought of Wadi Mina basin, Algeria using a novel multiscale framework Open
Understanding the relationship between hydrological and meteorological drought in drought-prone regions is critical for proper reservoir management. This study presents a novel multiscale framework for investigating the associations betwee…
View article: Application of multiple spatial interpolation approaches to annual rainfall data in the Wadi Cheliff basin (north Algeria)
Application of multiple spatial interpolation approaches to annual rainfall data in the Wadi Cheliff basin (north Algeria) Open
This study addresses a challenging problem of predicting mean annual precipitation across arid and semi-arid areas in northern Algeria, utilizing deterministic, geostatistical (GS), and machine learning (ML) models. Through the analysis of…
View article: Review of: "Spatial Analysis of Soil Fertility Using Geostatistical Techniques And Artificial Neural Networks"
Review of: "Spatial Analysis of Soil Fertility Using Geostatistical Techniques And Artificial Neural Networks" Open
View article: Modeling of Monthly Rainfall–Runoff Using Various Machine Learning Techniques in Wadi Ouahrane Basin, Algeria
Modeling of Monthly Rainfall–Runoff Using Various Machine Learning Techniques in Wadi Ouahrane Basin, Algeria Open
Rainfall–runoff modeling has been the core of hydrological research studies for decades. To comprehend this phenomenon, many machine learning algorithms have been widely used. Nevertheless, a thorough comparison of machine learning algorit…
View article: Hydrological Drought Prediction Based on Hybrid Extreme Learning Machine: Wadi Mina Basin Case Study, Algeria
Hydrological Drought Prediction Based on Hybrid Extreme Learning Machine: Wadi Mina Basin Case Study, Algeria Open
Drought is one of the most severe climatic calamities, affecting many aspects of the environment and human existence. Effective planning and decision making in disaster-prone areas require accurate and reliable drought predictions globally…
View article: An improved adaptive neuro-fuzzy inference system for hydrological drought prediction in Algeria
An improved adaptive neuro-fuzzy inference system for hydrological drought prediction in Algeria Open
Drought has negative impacts on water resources, food security, soil degradation, desertification and agricultural productivity. The meteorological and hydrological droughts prediction using standardized precipitation/runoff indices (SPI/S…
View article: Shannon Entropy of Performance Metrics to Choose the Best Novel Hybrid Algorithm to Predict Groundwater Level (Case study: Tabriz plain, Iran)
Shannon Entropy of Performance Metrics to Choose the Best Novel Hybrid Algorithm to Predict Groundwater Level (Case study: Tabriz plain, Iran) Open
Predicting groundwater level (GWL) fluctuations, which act as a reserve water reservoir, Particularly in arid and semi-arid climates, is vital in water resources management and planning. Within the scope of current research, a novel hybrid…
View article: Assessment and monitoring of meteorological and hydrological drought in semiarid regions: The Wadi Ouahrane basin case study (Algeria)
Assessment and monitoring of meteorological and hydrological drought in semiarid regions: The Wadi Ouahrane basin case study (Algeria) Open
The aim of this study is to use the Standardized Precipitation Index (SPI) and the Standardized Runoff Index (SRI) to investigate meteorological and hydrological drought in the Wadi Ouahrane basin of north Algeria. Indeed, in recent years,…
View article: Performance of Machine Learning Techniques for Meteorological Drought Forecasting in the Wadi Mina Basin, Algeria
Performance of Machine Learning Techniques for Meteorological Drought Forecasting in the Wadi Mina Basin, Algeria Open
Water resources, land and soil degradation, desertification, agricultural productivity, and food security are all adversely influenced by drought. The prediction of meteorological droughts using the standardized precipitation index (SPI) i…
View article: Application of ANFIS, ELM, and ANN models to assess water productivity indicators based on agronomic techniques in the Lake Urmia Basin
Application of ANFIS, ELM, and ANN models to assess water productivity indicators based on agronomic techniques in the Lake Urmia Basin Open
Water productivity (WP) is one of the most important critical indicators in the essential planning of water consumption in the agricultural sector. For this purpose, the WP and economic water productivity (WPe) were estimated using agronom…
View article: Enhancing Rainfall-Runoff Simulation via Meteorological Variables and a Deep-Conceptual Learning-Based Framework
Enhancing Rainfall-Runoff Simulation via Meteorological Variables and a Deep-Conceptual Learning-Based Framework Open
Accurate streamflow simulation is crucial for many applications, such as optimal reservoir operation and irrigation. Conceptual techniques employ physical ideas and are suitable for representing the physics of the hydrologic model, but the…
View article: Comprehensive Review: Advancements in Rainfall-Runoff Modelling for Flood Mitigation
Comprehensive Review: Advancements in Rainfall-Runoff Modelling for Flood Mitigation Open
Runoff plays an essential part in the hydrological cycle, as it regulates the quantity of water which flows into streams and returns surplus water into the oceans. Runoff modelling may assist in understanding, controlling, and monitoring t…
View article: Rainfall and Runoff Trend Analysis in the Wadi Mina Basin (Northern Algeria) Using Non-Parametric Tests and the ITA Method
Rainfall and Runoff Trend Analysis in the Wadi Mina Basin (Northern Algeria) Using Non-Parametric Tests and the ITA Method Open
The aim of this paper is to analyze the temporal tendencies of monthly, seasonal, and annual rainfall and runoff in the Wadi Mina basin (north-western side of Africa) using data from five stations in the period from 1973–2012. With this ai…
View article: Modern Techniques to Modeling Reference Evapotranspiration in a Semiarid Area Based on ANN and GEP Models
Modern Techniques to Modeling Reference Evapotranspiration in a Semiarid Area Based on ANN and GEP Models Open
Evapotranspiration (ET) is a significant aspect of the hydrologic cycle, notably in irrigated agriculture. Direct approaches for estimating reference evapotranspiration (ET0) are either difficult or need a large number of inputs that are n…
View article: Forecasting of SPI and SRI Using Multiplicative ARIMA under Climate Variability in a Mediterranean Region: Wadi Ouahrane Basin, Algeria
Forecasting of SPI and SRI Using Multiplicative ARIMA under Climate Variability in a Mediterranean Region: Wadi Ouahrane Basin, Algeria Open
Water resources have always been a major concern, particularly in arid and semiarid parts of the world. Low precipitation and its uneven distribution in Algeria, along with fast population and agriculture activity increase and, particularl…
View article: Meteorological and Hydrological Drought Risk Assessment Using Multi-Dimensional Copulas in the Wadi Ouahrane Basin in Algeria
Meteorological and Hydrological Drought Risk Assessment Using Multi-Dimensional Copulas in the Wadi Ouahrane Basin in Algeria Open
A persistent precipitation deficiency (meteorological drought) could spread to surface water bodies and produce a hydrological drought. Meteorological and hydrological droughts are thus closely related, even though they are separated by a …
View article: Evaluation of Machine Learning Techniques for Hydrological Drought Modeling: A Case Study of the Wadi Ouahrane Basin in Algeria
Evaluation of Machine Learning Techniques for Hydrological Drought Modeling: A Case Study of the Wadi Ouahrane Basin in Algeria Open
Forecasting meteorological and hydrological drought using standardized metrics of rainfall and runoff (SPI/SRI) is critical for the long-term planning and management of water resources at the global and regional levels. In this study, vari…
View article: Estimating Yield and Water Productivity of Tomato Using a Novel Hybrid Approach
Estimating Yield and Water Productivity of Tomato Using a Novel Hybrid Approach Open
Water productivity (WP) of crops is affected by water–fertilizer management in interaction with climatic factors. This study aimed to evaluate the efficiency of a hybrid method of season optimization algorithm (SO) and support vector regre…
View article: The Innovative Polygon Trend Analysis (IPTA) as a Simple Qualitative Method to Detect Changes in Environment—Example Detecting Trends of the Total Monthly Precipitation in Semiarid Area
The Innovative Polygon Trend Analysis (IPTA) as a Simple Qualitative Method to Detect Changes in Environment—Example Detecting Trends of the Total Monthly Precipitation in Semiarid Area Open
Precipitation is a crucial component of the water cycle, and its unpredictability may dramatically influence agriculture, ecosystems, and water resource management. On the other hand, climate variability has caused water scarcity in many c…