Hydrologic impacts of engineering projects on the Tigris–Euphrates system and its marshlands

Jones, Charles; Sultan, M.; Yan, Eugene; Milewski, A.; Hussein, Mohammed L.; Al-Dousari, Ali; Al-Kaisy, S.; Becker, R. H.

doi:10.1016/j.jhydrol.2008.01.029

Cited by 68 publications

(47 citation statements)

References 16 publications

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“…Wastewater discharges into water streams from industrial or residential areas and water treatment plants are mostly unknown in the Hulu Langat watershed. These sources of sediment load are not describable only by water discharge and can produce a large amount of uncertainty in ANN simulation [32,33]. Therefore, using more input data (e.g.…”

Section: Error Analysis During the Testing Processmentioning

confidence: 99%

Comparison between Multi-Layer Perceptron and Radial Basis Function Networks for Sediment Load Estimation in a Tropical Watershed

Memarian¹,

Balasundram

2012

JWARP

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Prediction of highly non-linear behavior of suspended sediment flow in rivers has prime importance in environmental studies and watershed management. In this study, the predictive performance of two Artificial Neural Networks (ANNs), namely Radial Basis Function (RBF) and Multi-Layer Perceptron (MLP) were compared. Time series data of daily suspended sediment discharge and water discharge at the Langat River, Malaysia were used for training and testing the networks. Mean Square Error (MSE), Normalized Mean Square Error (NMSE) and correlation coefficient (r) were used for performance evaluation of the models. Using the testing data set, both models produced a similar level of robustness in sediment load simulation. The MLP network model showed a slightly better output than the RBF network model in predicting suspended sediment discharge, especially in the training process. However, both ANNs showed a weak robustness in estimating large magnitudes of sediment load.

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Section: Error Analysis During the Testing Processmentioning

confidence: 99%

Comparison between Multi-Layer Perceptron and Radial Basis Function Networks for Sediment Load Estimation in a Tropical Watershed

Memarian¹,

Balasundram

2012

JWARP

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“…The Basin faces accelerated growth of irrigated area, population and dam construction as well as climate warming (Jones et al, 2008;Bozkurt & Sen, 2013;Issa et al, 2014). Moreover, in this region water withdrawal are very high, although the renewal water rate is low because of dominating arid climate (El-Fadel et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…There is no doubt that the increasing water demand within watersheds has the potential to greatly impact the amount of available water flow in their tributaries. Water shortages are affecting the human welfare, economic activity, and political stability (Jones et al, 2008), so, predict the future situation of water is an urgent goal.…”

Section: Introductionmentioning

confidence: 99%

The Future of Freshwater in Shatt Al- Arab River (Southern Iraq)

Al-Asadi¹

2017

JGG

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This study uses data from the current rate of population growth, agricultural development and effects of climate change to estimate the future of water demand and the amount of available water in the Shatt Al-Arab River basin. The Shatt Al-Arab River will be facing a freshwater deficit as a result of the decrease of water received from its tributaries. Currently, the river receives freshwater from the Tigris only, as a result to dam construction projects on the tributaries remaining. In 2040, it is expected that the freshwater from the Tigris will not be available to the Shatt Al-Arab; therefore the intrusion of seawater into the river will increase. This may cause a gradual change of water quality in the river from freshwater to seawater. When the Shatt Al-Arab River loses freshwater from all its tributaries the seawater will progress further from Persian Gulf towards the upstream.

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“…The increase in population and expansion of economic activities undoubtedly leads to increasing demand of water use for various purposes. Water resources in Iraq, especially in the last two decades have also suffered of remarkable stress in terms of water quantity due to different reasons such as the dams built on Tigris and Euphrates in the riparian countries, the global climatic changes and the local severe decrease of the annual precipitation rates and improper planning of water uses inside Iraq [1][2][3]. Water quality is certainly affected by the quantity and quality of supplies coming from different sources.…”

Section: Introductionmentioning

confidence: 99%

Application of Water Quality Index for Assessment of Dokan Lake Ecosystem, Kurdistan Region, Iraq

Al-Obaidy¹,

Abid²,

Maulood³

2010

JWARP

216

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Water Quality Index (WQI) was applied in Dokan Lake, Kurdistan region, Iraq using ten water quality parameters (pH, Dissolved Oxygen, Turbidity, Conductivity, Hardness, Alkalinity, Sodium, Biochemical Oxygen Demand, Nitrate and Nitrite). The relative weight assigned to each parameter ranged from 1 to 4 based on the importance of the parameter for aquatic life. The results indicated that water quality of Dokan Lake declined from Good in the years

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Hydrologic impacts of engineering projects on the Tigris–Euphrates system and its marshlands

Cited by 68 publications

References 16 publications

Comparison between Multi-Layer Perceptron and Radial Basis Function Networks for Sediment Load Estimation in a Tropical Watershed

Comparison between Multi-Layer Perceptron and Radial Basis Function Networks for Sediment Load Estimation in a Tropical Watershed

The Future of Freshwater in Shatt Al- Arab River (Southern Iraq)

Application of Water Quality Index for Assessment of Dokan Lake Ecosystem, Kurdistan Region, Iraq

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