Application of HEC-RAS Model to Predict Sediment Transport for Euphrates River from Haditha to Heet 2016

The aim of this study is to evaluate the sediment transport and to assess the quality of water for a reach of Euphrates River with a length of (124.4 km), begins from downstream of Haditha dam which represents the upstream of study, and ends at Heet station in Heet city which represents the downstream. There are 196 cross-sections which were distributed along the study area by using the model of one-dimensional HEC-RAS version 4.1. Calibration and Verification processes from(01-Sep-2013) to (30-Nov2013) and (01-DEC-2013) to (28-FEB-2014) respectively, show that the optimal Manning Roughness Coefficient (n) is equal to (0.033) which gives the less error ratio between the observed and calculated water surface elevations. By comparing the results of sediment transport “mass accumulated” for this study which equal to (237.38ton/day) was larger than the value of the previous study which equal to (165ton/day, measured in 2010). But the value of sediment load of this study at Heet station was equal to (551.76 ton/day) which was less than the value of previous study (189.041×103 ton/day, measured in 1988), due to increasing in the rates of discharge that was arrived the reach of study area

Application of SWAT Model for Sediment Loads from Valleys Transmitted to Haditha Reservoir

This study included the extraction properties of spatial and morphological basins studied using the Soil and Water Assessment Tool (SWAT) model linked to (GIS) to find the amount of sediment and rates of flow that flows into the Haditha reservoir . The aim of this study is determine the amount of sediment coming from the valleys and flowing into the Haditha Dam reservoir for 25 years ago for the period (1985-2010) and its impact on design lifetime of the Haditha Dam reservoir and to determine the best ways to reduce the sediment transport. The result indicated that total amount of sediment coming from all valleys about (2.56 * 106 ton). The maximum annual total sediment load was about (488.22 * 103 ton) in year 1988 due to the surface runoff about 167.79 * 106 m3, while the minimum annual total sediment load was about (8.62 * 103 ton) in year 2007. This due to the total runoff volume that was 5.67×106 m3. Model calibration and verification were carry out using flow rate and sediment yield data observed at the study area and the results were satisfactory

An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction

Despite the massive diversity in the modeling requirements for practical hydrological applications, there remains a need to develop more reliable and intelligent expert systems used for real-time prediction purposes. The challenge in meeting the standards of an expert system is primarily due to the influence and behavior of hydrological processes that is driven by natural fluctuations over the physical scale, and the resulting variance in the underlying model input datasets. River flow forecasting is an imperative task for water resources operation and management, water demand assessments, irrigation and agriculture, early flood warning and hydropower generations. This paper aims to investigate the viability of the enhanced version of extreme learning machine (EELM) model in river flow forecasting applied in a tropical environment. Herein, we apply the complete orthogonal decomposition (COD) learning tool to tune the output-hidden layer of the ELM model’s internal neuronal system, instead of the conventional multi-resolution tool (e.g., singular value decomposition). To demonstrate the application of EELM model, the Kelantan River, located in the Malaysian peninsular, selected as a case study. For a comparison of the EELM model, and further model evaluation, two distinct data-intelligent models are developed (i.e., the classical ELM and the support vector regression, SVR model). An exhaustive list of diagnostic indicators are used to evaluate the EELM model in respect to the benchmark algorithms, namely, SVR and ELM. The model performance indicators exhibit superior results for the EELM model relative to ELM and SVR models. In addition, the EELM model is presented as a more accurate, alternative predictive tool for modelling the tropical river flow patterns and its underlying characteristic perturbations in the physical space. Several statistical metrics defined as the coefficient of determination (r), Nash-Sutcliffe efficiency (Ens), Willmott’s Index (WI), root-mean-square error (RMSE) and mean absolute error (MAE) are computed to assess the model’s effectiveness. In quantitative terms, superiority of EELM over ELM and SVR models was exhibited by Ens = 0.7995, 0.7434 and 0.665, r = 0.894, 0.869 and 0.818 and WI = 0.9380, 0.9180 and 0.8921, respectively. Whereas, EELM model attained lower (RMSE and MAE) values by approximately (11.61–22.53%) and (8.26–8.72%) relative to ELM and SVR models, respectively. The obtained results reveal that the EELM model is a robust expert model and can be embraced practically in real-life water resources management and river sustainability decisions. As a complementary component of this paper, we also review state-of-art research works where scholars have embraced extensive implementation of the ELM model in water resource engineering problems. A comprehensive evaluation is carried out to recognize the current limitations, and also to propose potential opportunities of applying improved variants of the ELM model presented as a future research direction

Towards the Generation of a Spatial Hydrological Soil Group Map Based on the Radial Basis Network Model and Spectral Reflectance Band Recognition

Hydrological soil group is essential to soil information for several fields of modeling and applications. This information can affect suitable environmental, agricultural, and hydrological development. Laboratory analysis for soil sampling cannot efficiently provide the needed information because these analyses are commonly costly, time-consuming, and limited in retrieving the temporal and spatial variability. In this context, remote sensing is now solid to offer meaningful spatial data for studying soil characteristics on various spatial scales utilizing the different spectral reflectance. For this study, the integration of Geographic Information System (GIS) remote sensing data and survey data with the Artificial Neural Network (ANN) were used to generate a hydrological soil group map and to infer spatial patterns of soils across complete area converges for Alghadaf Wadi in the Western Desert of Iraq. The generated soil information was tested based on the sand, silt, and clay content. The testing result indicated that the differences between actual and predicted values to determine soil classes are agreed well. Therefore, this method is vital for mapping and monitoring soil texture by providing timely, fast repetitive data and relatively cheap.Validerad;2022;Nivå 1;2022-11-08 (joosat);</p

Evaluation of sediment transport empirical equations : case study of the Euphrates River West Iraq

Sediment transport in rivers is an important and complex process. It is very important to know the nature and quantities of sediments transported in course of rivers to achieve prudent water management. Due to the presence of most of the important projects on or near the banks of the river in the study area, so there is always a fear that these projects will be affected by the processes of erosion, transport, and sedimentation among the decision makers. Therefore, there is a need to develop our knowledge of the suitable equations that can be applied with acceptable accuracy to obtain satisfactory results for monitoring the processes of erosion, sedimentation, and transport that occur in River path to monitor and anticipate the changes taking place in the areas of the riverbanks. This study was carried out to check the reliability of different sediment transport formulas using data collected from the Euphrates River at the thermal power station in Al Anbar province, Iraq. The study also aimed to select the best formula for this site. Hydrological data have been collected. These were used for computing the total sediment load in the river at a specified cross-section using common sediment transport formulas ascribed to Ackers-White, Bagnold, Yang, Colby, Shen and Hung, and Engelund-Hansen. The performance of these formulas was assessed based on the accuracy of the predictions of the observed sediment load within a limited discrepancy ratio. The evaluations showed that the Engelund-Hansen formula represented the best formula for this river reach.Validerad;2021;Nivå 2;2021-05-06 (alebob)</p

Groundwater Quality and Sustainability Evaluation for Irrigation Purposes: A Case Study in an Arid Region, Iraq

Validerad;2022;Nivå 1;2022-04-27 (sofila)</p

Evaluate the Optimal Future Demand of Water Consumption in Al-Anbar Province in the West of Iraq

Water is an essential source of sustaining life and used in generating electricity, agriculture, industry, and the daily domestic uses. This study was prepared to determine the water consumption of Anbar Province in the west of Iraq according to agricultural, industrial, and domestic demand. In addition, the study is evaluating the expected future water consumption by demand sites within study area. The results showed the domestic water demand will increases by 32% from 267.30 million m3 /year in 2021 to 352.70 million m3 per year in 2035, with a deficit of 24.5% in the year 2035. Furthermore, the study had appeared the agricultural demand was 1404.38 million m3 /year according to the limited cultivated area, which equals 42.93% from the total available area of 221,250 hectares. The agricultural demand increases to 2611 million m3 /year when uses all available area, and this cause occurs deficit in water demand reach to 1591 and 1715 million m3 /year in the years 2030 and 2035 respectively. In contrast, the study referred to necessary apply other irrigation methods as drip and sprinkler irrigation, which has high irrigation efficiency. In addition, using lined channels and pipes to transport water to reduce losses by leaching and evaporation. © 2021 WITPress. All rights reserved.Validerad;2021;Nivå 1;2021-08-18 (johcin)</p

The Evaluation of the SWAT Model Performance to Predict the Runoff Values in the Iraqi Western Desert

In the present research, the Soil and Water Assessment Tool (SWAT) model was used for the prediction of surface runoff amounts of the catchment of Al-Masad, in the Western Desert of Iraq. The prediction period was from September 2020 to January 2030. The calibration and verification of this model were performed according to the daily surface runoff data that were measured between 2010 and 2014. Statistical parameters were employed to determine the performance of the model. These parameters were RSR (ratio of the root mean square error to the standard deviation of measured data), NSE (Nash-Sutcliffe efficiency), and PBias (percent Bias), which were calculated as 0.58%, 0.71%, and 13% for calibration and 0.55%, 0.74% and 11% for verification, respectively. The results from the model verification and calibration prove that this model was sufficient in simulating the catchment surface runoff. Furthermore, the SWAT model was applied for the prediction of daily, monthly, and yearly surface runoff value of the catchment from 2021 to 2030. The results obtained from the model showed that the annual surface runoff volume of the catchment, throughout the period of the simulation, was between 0.65 and 8.3 million m3 with an average value of 2.622 million m3.Godkänd;2022;Nivå 0;2022-01-01 (johcin)</p

Optimal Allocation Model for Sustainable and Economic Water Sources in Rutba City West of Iraq

The water resources represented by rivers, lakes, and wells are of great importance in the growth and development of civilization by meeting the different needs of the population. Due to the climatic changes that take place in different regions of the world, in addition to the increasing population growth, it has become necessary to manage the various water resources in a way that achieves a balance between supply and demand, especially in dry areas that suffer from limited rainfall and high evaporation rates as a result of high temperatures. Iraq has surface water resources that are the main provider of agricultural, industrial, and domestic demand sites, in addition to a strategic store of groundwater that can be used during periods of water scarcity. In this study, the Water Assessment and Planning (WEAP) model was used to assess the current and future demand of the Rutba city in western Iraq for the period (2021 to 2030). The study showed a population increase of 20.9% for the period 2021-2030 which requires water amounting to (4.43) million cubic meters annually by 2030. Currently, water supply to the city is carried out from three different sources, which is through water withdrawal From the Euphrates River through the Qaim and Heet sites, as well as by withdrawing water from a group of wells from Dabaa aquifers east of the city and pumping it to the city of Rutba by pipes, which requires optimal management of the city's water supply sources to meet the population's need, especially in light of the high annual costs of the process of transferring the water supply to the city

Optimising water resources management by Using Water Evaluation and Planning (WEAP) in the West of Iraq

Iraq has been suffering from decreasing Euphrates discharge due to the construction of dams within upstream countries and the use of surface irrigation systems. The country is facing a problem with meeting the increasing demand for water as a result of population growth and development in the industrial and agricultural sectors. Therefore, a simulation modelling was applied for western Iraq (Ramadi city as a case study) using the Water Evaluation and Planning System (WEAP) for the period 2018–2035. This research follows a four-step approach that involves: (i) evaluating the available water of the Euphrates River under declined water imports caused by the construction of dams in Turkey and Syria, (ii) assessing present and future water demands of the domestic, industrial, and agricultural sectors, (iii) improving water productivity (WP) by means of saving more water, (iv) estimating the economic returns under improved water use. The results showed that Iraq would face a serious problem in the coming years, represented by the limited storage of Haditha Dam, which is considered the strategic water storage site for the central and southern regions of Iraq. The study indicated the necessity of finding alternative sources of water supply by adopting new water management strategies to reduce the water deficit. Godkänd;2022;Nivå 0;2022-06-29 (sofila)</p