A5059853471- Soil erosion and sediment transport
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Hydrology and Sediment Transport Processes
- Precipitation Measurement and Analysis
- Flood Risk Assessment and Management
- Aeolian processes and effects
- Climate variability and models
- Irrigation Practices and Water Management
- Meteorological Phenomena and Simulations
- Tree Root and Stability Studies
- Soil Moisture and Remote Sensing
- Water Systems and Optimization
- Plant Water Relations and Carbon Dynamics
- Hydraulic flow and structures
- Water resources management and optimization
- Water-Energy-Food Nexus Studies
- Heavy metals in environment
- Rangeland Management and Livestock Ecology
- Mine drainage and remediation techniques
- Soil and Water Nutrient Dynamics
- Soil Geostatistics and Mapping
- Soil and Land Suitability Analysis
- Soil and Unsaturated Flow
- Landslides and related hazards
Griffith University
2020-2023
Cairo University
2021
Nanjing University of Information Science and Technology
2021
Central Queensland University
2010-2020
Queensland Rail
2006
University of Newcastle Australia
1999
Vrije Universiteit Brussel
1994
Accurate estimation of drought events is vital for the mitigation their adverse consequences on water resources, agriculture and ecosystems. Machine learning algorithms are promising methods prediction as they require less time, minimal inputs, relatively complex than dynamic or physical models. In this study, a combination machine with Standardized Precipitation Evapotranspiration Index (SPEI) proposed analysis within representative case study in Tibetan Plateau, China, period 1980–2019....
Abstract Assessing irrigation water quality is one of the most critical challenges in improving resource management strategies. The objective this work was to predict index Bahr El-Baqr, Egypt, based on non-expensive approaches that requires simple parameters. To achieve goal, three artificial intelligence (AI) models (Support vector machine, SVM; extreme gradient boosting, XGB; Random Forest, RF) and four multiple regression (Stepwise Regression, SW; Principal Components PCR; Partial least...
Prediction of crop yield is an essential task for maximizing the global food supply, particularly in developing countries. This study investigated lettuce (fresh weight) prediction using four machine learning (ML) models, namely, support vector regressor (SVR), extreme gradient boosting (XGB), random forest (RF), and deep neural network (DNN). It was cultivated three hydroponics systems (i.e., suspended nutrient film technique system, pyramidal aeroponic tower system), which interacted with...
Spain is one of the largest wine producers in world, with Extremadura (south-west Spain) being its second-largest producing region after Castilla La Mancha. Within Extremadura, most traditional and productive viticulture Tierra de Barros, which boasts an annual production 3×106 litres. However, no soil erosion assessment has been undertaken any vineyard to ascertain environmental sustainability. Therefore, Improved Stock Unearthing Method (ISUM) Revised Universal Soil Loss Equation (RUSLE)...
Abstract Accurate prediction of digital soil maps allows for the evaluation larger areas with respect to design efficient land management plans at regional scale. Nowadays, there is an increasing demand high spatial resolution‐gridded data crop planning and because it saves time costs. One most essential physical properties affecting water holding capacity, nutrient availability growth texture. It exhibits a variability, but accurate scales are lacking. The aim this research was produce...
Statistical imputation techniques were evaluated for infilling missing records in daily rainfall data within the Pra and Densu river basins Ghana. The considered mean, regression, multiple by chain equation, k-nearest neighbour, probabilistic principal component analysis (PPCA), missForest, linear interpolation, hot deck, expectation maximization, Gaussian copula, inverse distance weighting kriging. Different percentages of (5%, 10%, 20% 30%) artificially introduced into complete datasets....
Abstract The advent of digital elevation models (DEMs) has made it possible to objectively extract, calculate and store geomorphological parameters for hydrological modelling at several scales. For a grid‐based DEM, the threshold area used extract channel network is analogous scale map produced. In addition scale, effects vertical resolution DEM on some frequently in hydrology are examined using high‐resolution DEMs two natural artificial catchments. was varied between 1 cm m, most common...
New trends related to market incomes, cultural human development, non-sustainable soil management practices, and climate change are affecting land abandonment in Mediterranean sloping vineyards. It is generally accepted that hydrological processes and, subsequently, erosion rates usually different between cultivated abandoned soils. However, these alterations still poorly studied relation the general weather conditions vineyards Thus, main goals of this research (1) estimate differences...
Abstract There are limited literature on the impacts of drought crop yields in warm regions such as southwest China. Drought vulnerability four different crops (wheat, rice, maize and sugarcane) cultivated three provinces (Sichuan, Guizhou Yunnan) within China were investigated this study. It was based index standardized precipitation evapotranspiration (SPEI) for ‐3‐ ‐6 months timescales (SPEI‐3 SPEI‐6). The correlation between SPEI yield residuals series individual estimated period from...
Rain gauges continue to be sources of rainfall data despite progress made in precipitation measurements using radar and satellite technology. There has been some work done on assessing the optimum rain gauge network density required for hydrological modelling, but without consensus. This paper contributes identification density, scaling laws bias-corrected 1 km × grid records, covering an area 28,371 km2 that hosts 315 south-east Queensland, Australia. Varying numbers pixels (rain gauges)...
The main aim of this research was to determine the potential effects different tillage systems (TT: traditional and RT: reduced tillage) on runoff erosion at two locations (Kahramanmaras Tarsus, Southern Turkey) under (i) fallow, (ii) wheat (Triticumaestivum L.), (iii) sainfoin (Onobrychissativa L.) crops. Rainfall simulations with intensity 120 mm h−1 30-min duration, representing a typical extreme thunderstorm in area, were used. We quantified elapsed time generation (ET), total volume...
A daily rainfall disaggregation model, which uses a copula to model the dependence structure between total depth, duration of wet periods, and maximum proportional depth period, is presented. The wet(1)‐dry(0) binary sequence modeled by nonrandomized Bartlett‐Lewis with diurnal effect incorporated before superimposing AR(1) process submodel. Unlike previous studies, structured such that all day data available are considered in analysis, without need discard any good quality embedded month...
Abstract Drought is showing an increasing trend as a result of the significant variation in precipitation and temperature China. This study investigated impacts drought on ecosystem water use efficiency (WUE) southwest The spatiotemporal distribution WUE were analysed through integrated approaches based observed climate satellite remote sensing datasets to understand response drought. Also, climatic variables gross primary productivity (GPP), evapotranspiration (ET) have been discussed. More...
Abstract Background Water pollution with heavy metals is a severe dilemma that concerns the whole world related to its risk natural ecosystems and human health. The main objective was evaluate removal efficiency of Cd various concentrations from contaminated aqueous solution by use two cyanobacterial strains ( Nostoc muscorum Trichormus variabilis ). For this purpose, specially designed laboratory pilot-scale experiment conducted using these on four different initial (0, 0.5, 1.0 2.0 mg L −1...
Understanding the knowledge of climate-change impacts on water-resources is a priority. This article goes step further with main objective this study to explore water-practitioners’ viewpoints regarding water supply-side and demand-side management measures in coping future climatic achieve urban security. Interviews were conducted water-professionals from regional authorities Queensland, Australia. From water-practitioner’s viewpoint, surface perceived remain high-priority resource for...