Hossein SahourGeorgia Institute of Technology | GT
Hossein Sahour
Doctor of Philosophy
About
39
Publications
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Introduction
Hossein is a senior data scientist at NextNav and helps develop new generation 3D geolocation technology
Publications
Publications (39)
Trend analysis of climate variables such as streamflow, precipitation, and temperature provides useful information for understanding the hydrological changes associated with climate change. In this study, a nonparametric Mann-Kendall test was employed to evaluate annual, seasonal, and monthly trends of precipitation and streamflow for the Neka basi...
The Gravity Recovery and Climate Experiment (GRACE) has been successfully used to monitor variations in terrestrial water storage (GRACETWS) and groundwater storage (GRACEGWS) across the globe, yet such applications are hindered on local scales by the limited spatial resolution of GRACE data. Using the Lower Peninsula of Michigan as a test site, we...
Increasing the concentration of nitrates in aquifer systems reduces water quality and causes serious diseases and complications for human health. Therefore, it is important to monitor nitrate levels in groundwater resources and identify contaminated aquifers. In this research, multiple artificial neural network (ANN) structures and a genetic algori...
Understanding annual extraction volumes and fluctuations in groundwater depth is essential in water resource management. This study applied various machine learning methods to predict the spatial variability of groundwater depletion (GWD) in an alluvial aquifer located along the southern coasts of the Caspian Sea (Mazandaran Plain). Initially, mean...
This study investigates the application of Artificial Neural Networks (ANN) supplemented with optimization algorithms for modeling and mapping groundwater quality in an extensive unconfined aquifer in Northern Iran, a task traditionally performed through labor-intensive and costly water sampling and lab analysis. A comprehensive collection of groun...
Arsenic is a toxic heavy element that can cause a wide range of diseases, including cancer, when present in high concentrations in drinking water. Identifying areas with arsenic contamination is crucial for protecting human health. Using an alluvial unconfined aquifer in Iran as a test site, a methodology for modeling and mapping arsenic contaminat...
Groundwater quality is typically measured through water sampling and lab analysis. The field-based measurements are costly and time-consuming when applied over a large domain. In this study, we developed a machine learning-based framework to map groundwater quality in an unconfined aquifer in the north of Iran. Groundwater samples were provided fro...
During the last decade (2011-2022), the frequency of extreme precipitation events (> 100 mm) over the Arabian Peninsula (area: 3082,982 km2) increased by some 40% compared to the preceding decade (2000 – 2010), an increase attributed to the climate change. We examined the temporal and spatial distribution of extreme events over five major watershed...
Excess surface water after heavy rainfalls leads to soil erosion and flash floods, resulting in human and financial losses. Reducing runoff is an essential management tool to protect water and soil resources. This study aimed to evaluate the effects of vegetation and land management methods on runoff control and to provide a model to predict runoff...
Groundwater quality is measured through water sampling, and lab analysis. The field-based measurements are costly and time-consuming when applied over a large domain. In this study, we developed a machine learning-based framework to map groundwater quality in an unconfined aquifer in the north of Iran. Groundwater samples were provided from 248 mon...
In this study
, the annual splash (raindrop) erosion rate was mapped using erosion pins and a co-active neuro-fuzzy inference system (CANFIS) in the Talar watershed in the north of Iran. First, 109 pairs of pins were installed on a hillslope in the study area. The amount of soil loss (ground lowering) from the pins in a 1-year period was measured t...
The focus of this study is to locate shallow groundwater (SGW) occurrences in arid lands using the Western Desert (WD; area: ∼680,000 km²) of Egypt as a test site. The SGW in the study area originated from paleo-precipitation during previous wet climatic periods. In wet periods, fossil groundwater was at higher levels, ascended along high-angle fau...
Several environmental indicators were used to evaluate the water and sediment quality of Ismailia Canal for heavy metal contamination. The average concentrations of heavy metals in water and sediments (μg/L and μg/g) were Pb (1.36–31.78), Fe (0.95–5124), Ni (0.45–32.14), Cu (0.34–32.64), Zn (0.28–117.77), Co (0.078–29.40), and Mn (0.044–194.83), re...
Excess surface water after heavy rainfalls leads to soil erosion and flash floods, resulting in human and financial losses. Reducing runoff is an essential management tool to protect water and soil resources. This study aimed to evaluate the effects of vegetation and land management methods on runoff control and to provide a model to predict runoff...
Urban and industrial wastewaters, and the weathering of rocks are the main anthropogenic and natural sources of heavy metals (HMs) in coastal worldwide environments. The present work examined the content, distribution, potential sources, and ecological risks of HM contamination in the coastal sediments of Suez Bay, Egypt. Six pollution and health r...
Detecting mineralogical alteration by hydrocarbon micro-seepage from trap to surface across the deformed structure, through Comparative analysis study of hyperspectral image (EO-1, Hyperion), and multispectral (landsat7 and Advanced land imager (Ali) to map soil alteration by petroleum seepage with applying remote sensing techniques as (band ratios...
Groundwater drawdown is typically measured using pumping tests and field experiments; however, the traditional methods are time-consuming and costly when applied to extensive areas. In this research, a methodology is introduced based on artificial neural network (ANN)s and field measurements in an alluvial aquifer in the north of Iran. First, the a...
The Prairie Pothole Region (PPR) contains numerous depressional wetlands known as potholes that provide habitats for waterfowl and other wetland-dependent species. Mapping these wetlands is essential for identifying viable waterfowl habitat and conservation planning scenarios, yet it is a challenging task due to the small size of the potholes, and...
Monitoring temporal variation of streamflow is necessary for many water resources management plans, yet, such practices are constrained by the absence or paucity of data in many rivers around the world. Using a permanent river in the north of Iran as a test site, a machine learning framework was proposed to model the streamflow data in the three pe...
Rainfall-runoff modeling is necessary for many hydrological studies, such as estimating peak discharges and designing hydraulic structures. The intensity and frequency of extreme climatic events necessitate the use of advanced approaches that incorporate different climatic and landscape parameters for rainfall-runoff modeling. The majority of small...
Assessment of water-induced soil erosion as a crucial part of soil conservation plans is costly and time-consuming when applied to an extensive area. In this study, we propose a methodology based on recording the annual soil erosion in a portion of the study area using erosion pins and assessing the spatial distribution of soil erosion for the enti...
Monitoring changes in groundwater storage is necessary for water resource management plans. The temporal records of spring discharge are restricted by the absence or paucity in many parts of the world. To address this shortcoming, various models and methods have been implemented to reconstruct past hydrologic data. In this study, temporal variation...
Temporal records of river flow as essential data for water resource management plans are not available in many rivers around the world. In this study, monthly discharges of the Taskoh river in the north of Iran were simulated using dendrohydrology (the earlywood vessels and tree- rings chronologies). For this purpose, cross-dating, standardization,...
Groundwater drawdown is typically measured using pumping tests and field experiments; however, the traditional methods are time-consuming and costly when applied to extensive areas. In this research, a methodology is introduced based on artificial neural network (ANN)s and field measurements in an alluvial aquifer in the north of Iran. First, the a...
Monitoring temporal variation of streamflow is necessary for many water resources management plans, yet, such practices are constrained by the absence or paucity of data in many rivers around the world. Using a permanent river in the north of Iran as a test site, a machine learning framework was proposed to model the streamflow data in the three pe...
Assessment of soil erosion is necessary for any long-term soil conservation plan, yet, the procedure is costly and time-consuming when applied to a large domain. Using a portion of the Alborz mountains in the north of Iran as a test site, a methodology was developed and tested based on a self-organizing map. First, annual soil erosion rates were me...
Available water resources in the Middle East, as one of the most water-scarce regions of the world, have undergone extra pressure due to climatic change, population growth, and economic development during the past decades. The objective of this study is to detect the trends and quantify the changes in aridity with respect to precipitation and poten...
The Miankaleh wetland, one of the richest ecosystems in the north of Iran, has experienced an unprecedented environmental degradation caused by overexploitation of the water resources and climatic changes in recent years. This research aims to estimate the environmental water requirement (EWR) for the rivers that drain into the wetland. For this pu...
Assessment of soil erosion is crucial for any long-term soil conservation plan. Traditional in-situ measurements provide a precise amount of erosion rate; however, the procedure is costly and time-consuming when applied over an extensive area. This study aimed to investigate the use of erosion pins and artificial neural networks (ANNs) to assess th...
Groundwater salinity in an aquifer system is typically measured through field studies (e.g., groundwater sampling, and direct current resistivity method). The field-based measurements are costly and time-consuming when they are applied over a large domain. In this study, a methodology was developed and evaluated based on available hydrogeology and...
Identifying shallow (near-surface) groundwater in arid and hyper-arid areas has significant societal benefits, yet it is a costly operation when traditional methods (geophysics and drilling) are applied over large domains. In this study, we developed and successfully applied methodologies that rely heavily on readily available temporal, visible, an...
Intensification of anthropogenic activities and related processes have altered the morphology of modern deltaic systems. As a result, mapping of geomorphic features, such as paleochannels, using recently acquired digital elevation data has become increasingly difficult. Using the Nile River and delta as a test site, we developed and applied procedu...
Analysis of temporal CSR monthly GRACE RL05/RL06 solutions and Sentinel-1 SAR data is underway over selected areas in the Lower Peninsula of Michigan (LP) to assess the distribution, nature, and factors causing observed land deformation in the Lower Peninsula (LP). The secular trends in GRACETWS and GRACEGWS revealed two general patterns across the...
The Gravity Recovery and Climate Experiment (GRACE) has been successfully applied to monitor variation in terrestrial water storage (TWS) and ground water storage (GWS) in many parts of the world. Unfortunately, the applications of these methodologies locally are hampered by the poor spatial resolution of GRACE data. We used statistical approaches...
The Gravity Recovery and Climate Experiment (GRACE) has been successfully used for the assessment of terrestrial water storage (TWS) and ground water storage (GWS) for hydrologic systems worldwide, yet such applications are hindered by the low spatial resolution inherited in GRACE data. To address this shortcoming, we applied stepwise multivariate...
The Gravity Recovery and Climate Experiment (GRACE) has been successfully used to track changes in terrestrial water storage (TWS) and ground water storage (GWS) across the globe. We use GRACE RL05 monthly mascon solutions from the Center for Space Research (CSR) and outputs of the Global Land Data Assimilation Systems (GLDAS) to investigate/extrac...
Evapotranspiration is one the most important parameters in the hydrological cycle and plays a significant role in energy balance of the earth's surface. Traditional field-based measurements approaches for calculation of daily evapo-transpiration are valid only for local scales. Using advanced remote sensing technology, the spatial distribution of e...
Floods are amongst the most destructive natural hazards causing lots of economic damages and casualties. Advancements in Remote Sensing and computer sciences provide a great opportunity for researchers to implement flood prediction systems to mitigate devastating impacts of flood events. In the following research, total outflow, peak flow and time...