Abubakr Taha Bakheit Taha

ORCID: 0000-0002-4452-7440
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About
Contact & Profiles
Research Areas
  • Hydrology and Watershed Management Studies
  • Water Quality and Pollution Assessment
  • Flood Risk Assessment and Management
  • Water Quality Monitoring Technologies
  • Hydrological Forecasting Using AI
  • Hydrology and Sediment Transport Processes
  • Soil erosion and sediment transport
  • Water resources management and optimization
  • Anaerobic Digestion and Biogas Production
  • Groundwater and Watershed Analysis
  • Wastewater Treatment and Nitrogen Removal
  • Hydrology and Drought Analysis
  • Adsorption and biosorption for pollutant removal
  • Child Nutrition and Water Access
  • Tropical and Extratropical Cyclones Research
  • Precipitation Measurement and Analysis

Prince Sattam Bin Abdulaziz University
2022-2024

Red Sea University
2022-2023

Bisham Qilla and Doyian stations, Indus River Basin of Pakistan Water pollution is an international concern that impedes human health, ecological sustainability, agricultural output. This study focuses on the distinguishing characteristics evolutionary ensemble machine learning (ML) based modeling to provide in-depth insight escalating water quality problems. The 360 temporal readings electric conductivity (EC) total dissolved solids (TDS) with several input variables are used establish...

10.1016/j.ejrh.2023.101331 article EN cc-by Journal of Hydrology Regional Studies 2023-02-07

The conventional disposal of green straws through burning can be eliminated in a biorefinery that converts them into range sustainable commercial products. However, this leads to the generation straw effluent (GSBE). Green biorefineries discharge wastewater ecosystem contains high concentrations COD and NH4+−N. It is one most notable sources visual pollution disruption aquatic life as well public health requires treatment prior discharge. To improve GSBE quality for environmental...

10.3390/pr10112262 article EN Processes 2022-11-02

Water contamination is indeed a worldwide problem that threatens public health, environmental protection, and agricultural productivity. The distinctive attributes of machine learning (ML)-based modelling can provide in-depth understanding into increasing water quality challenges. This study presents the development multi-expression programming (MEP) based predictive model for parameters, i.e., electrical conductivity (EC) total dissolved solids (TDS) in upper Indus River at two different...

10.3390/w14060947 article EN Water 2022-03-17

This study evaluated multiple aspects of flood risks and effects on the Cinan Feizuo protection area in Huaihe River basin. Flooding remains a leading problem for infrastructure, especially urban, residential areas region. Effective modeling urbanized floodplains is challenging, but MIKE (ID-2D) paramount analyzing quantifying risk vulnerable The Saint-Venant equation one-dimensional (1D) 11 model were used to understand dynamics River, two-dimensional (2D) 21 was applied assess area. finite...

10.3390/atmos14040678 article EN cc-by Atmosphere 2023-04-03

Reservoirs overflow during flood season because of sedimentation cycles, which severely affects their effectiveness. Siltation is a major problem in dams constructed waterways arid and semi-arid areas. Therefore, the reservoirs wadis lose capacity due to sedimentation. This study determines an optimal design trapping basin on steep slope areas for Wadi Bishah Asir region southwestern Saudi Arabia. The empirical criteria sediment-trapping used mitigate effects King Fahd Dam. upstream dam...

10.3390/pr11092729 article EN Processes 2023-09-12

Prediction of total sediment load is essential in an extensive range problems such as the design dead volume dams, stable channels, transport rivers, calculation bridge piers degradation, prediction sand and gravel mining effects on river-bed equilibrium, determination environmental impacts dredging necessities. This paper aimed to investigate predict Wadi Arbaat Eastern Sudan. The study was estimated by separate into bedload Suspended Load (SL), independently. Although records are not...

10.12989/sss.2020.26.6.781 article EN Smart Structures and Systems 2020-12-01

The NRCS-CN model is one of the commonly used models for estimation discharge peak in a watershed Saudi Arabia using DEM outputs and daily rainfall data. current study aims to classify sub-basins volume, rain off volume estimate method. drainage map studied sub-basin areas was extracted from SRTM Dem 30 m outputs. To surface runoff its peak, area divided into four tributary basins Wadi Al-Aqiq WMS software m. subbasins were Wadis Rim, Al Yitimah, Ishsh Sha'ib Ruwawah. results indicate...

10.12989/sss.2021.27.6.951 article EN Smart Structures and Systems 2021-06-01

Precipitation is one of the most significant variables with an impact on environment, agriculture, as well design any hydraulic infrastructures. The rainfall analysis predicts highest, average, and minimal values that are expected in certain catchments for return periods. long-term variability over Arbaat watershed was studied at various stations a duration (day, month, year) from 1942 to 2010 runoff using Isohyetal Map area besides different plotting position formulae ratios. This...

10.12989/anr.2021.11.3.281 article EN Advances in nano research 2021-09-01
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