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  • 301.
    Sissakian, Varoujan
    et al.
    Erbil, Iraq.
    Sidiq, Sakar A.
    University of Kurdistan, Hawler, Erbil.
    Haris, Gowar H.
    University of Kurdistan, Hawler, Erbil.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Knutsson, Sven
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Age Estimation of Qara Chattan Landslide, Using Exposure Dating Method, Sulaimaniyah, Northeast Iraq2017Inngår i: Journal of Earth Sciences and Geotechnical Engineering, ISSN 1792-9040, E-ISSN 1792-9660, Vol. 7, nr 2, s. 1-23Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The northeastern part of Iraq; the Kurdistan Region is a mountainous area with rough topography that increases in relief differences and roughness towards north and northeast. Among those mountains is Pera Magroon with highest peak at elevation of 2773 m (a.s.l.) and relief difference with the southern plain of about 1000 m. Pera Magroon Mountain represents a double plunging anticline trending NW – SE; with many minor complications on both limbs. The oldest exposed rocks in the anticline belong to Late Jurassic, whereas the rocks of the Qamchuqa Formation form the carapace of the mountain. The southwestern limb is steeper than the northeastern one; almost being vertical. A very old and large landslide had occurred along the southwestern limb of Pera Magroon anticline ended near Qara Chattan village; therefore, it is called “Qara Chattan Landslide”. The landslide is a rock slide type with rectangular tongue-shaped and crescent-like toe area. The slid blocks belong to Qamchuqa Formation, range in size up to 3 m3; but the average size is about 1 m3. The Qara Chattan Slide had happened; most probably above an area that was originally an old alluvial fan. The slid mass has swiped the alluvial fan sediments as the large blocks were moving in very high speed down the slope during the sliding. However, on both sides of the landslide the remnant of the alluvial fan sediments can be seen in form of longitudinal and narrow masses; like embankments. To estimate the age of Qara Cahttan Landslide, the exposure dating method is used depending on the size, depth and length of the existing valleys, the age of the nearby landslide and alluvial fans, and historical data acquired from archaeological site. Accordingly, the age of the landslide is estimated to be few thousand years; during the Holocene.

  • 302. Sissalkian, Varoujan
    et al.
    Ayda, Abdulahad
    Iraq Geological Survey, Baghdad.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Knutsson, Sven
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Factors Controlling the Karstification Process in the Fatha Formation in Iraq2016Inngår i: Journal of Earth Sciences and Geotechnical Engineering, ISSN 1792-9040, E-ISSN 1792-9660, Vol. 6, nr 3, s. 147-162Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The Fatha Formation (ex-Lower Fars) is Middle Miocene of age and consistsof cyclic sediments, each ideal cycle consists of marl, limestone and gypsum.However, in the upper half part of the formation, reddish brown claystone occur in the cycles. Moreover, in the uppermost part of the formation, fine reddish brown siltstone and claystone occur in the cycles too. The formation is divided into two members depending on the lithological constituents. Lower Member and Upper Member, the former is characterised by the absence of red clastic in the cycles and presence of thick gypsum beds, whereas the latter is characterised by the presence of fine red clastic with subordinate limestone beds. The Fatah Formation covers considerable parts of the Iraqi territory,especially in the central western part and the central northern part too. In theformer area, the formation usually crops out in a horizontal beds, whereas in thelatter area; it is exposed in the limbs of anticlines and occasionally in their cores. The Fatha Formation is one of the main problematic geological formations in Iraq. Due to intense karstification, the rocks of the formation have caused severe damages to the constructed structures built on its exposure areas. This article deals with the factors controlling the karstification process in the rocks of the Fatha Formation and shade light why karstification is not distributed over all the exposure areas of the formation in Iraq. The study concluded that the main factors that control the karstification process in the Fatha Formation are lithological and tectonic factors.

  • 303.
    Surendran, U.
    et al.
    Centre for Water Resources Development and Management (CWRDM), Kerala, India.
    Sushanth, C. M.
    Centre for Water Resources Development and Management (CWRDM), Kerala, India.
    Joseph, E. J.
    Centre for Water Resources Development and Management (CWRDM), Kerala, India.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Yaseen, Zaher Mundher
    Sustainable Developments in Civil Engineering Research Group, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
    FAO CROPWAT Model-Based Irrigation Requirements for Coconut to Improve Crop and Water Productivity in Kerala, India2019Inngår i: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 11, nr 18, artikkel-id 5132Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The irrigation requirements for coconut in Kerala are general in nature. This study determined the irrigation requirements for coconut, using CROPWAT based on agro-ecological zones (AEZs) for proposing the recommendations. The irrigation recommendations are generated based on the climatic, soil, and crop characteristics. The results showed that the irrigation requirements varied with the locations. Overall, for the state of Kerala, the irrigation requirements varied from 350 to 900 L of water per coconut palm, with the irrigation intervals ranging from three to nine days based on the AEZs. Moreover, this study also confirmed the variation of the water requirements observed within the districts. The quantity of water required per palm varied between 115 to 200 liters per day (LPD) per palm, which is lower than the existing recommendations of 175 to 300 LPD per palm. The proposed irrigation requirements appraised with the presently followed recommendations of the Kerala state, and its advantages discussed for improving the crop and water productivity. In nutshell, if the current recommendation is adopted, 30% of the water used for irrigation can be saved, as well as leading to an improvement in crop production.

  • 304.
    Tajbakhsh, Mohammad
    et al.
    Regional Water Authority, Kermanshah, Iran.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Comparative study of multi-station method and Hershfield’s approaches for PMP determination (case study: Northeast of Iran)2019Inngår i: Sustainable Water Resources Management, ISSN 2363-5037, Vol. 5, nr 3, s. 1133-1141Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The maximum daily rainfall values for 36 homogeneous stations in the northeast of Iran were adopted to estimate the appropriate Probable annual Maximum Precipitation 1-day precipitation (PMP24) values. PMP24 was found as 128.2–284.2, 62.7–160.2 and 124 mm for Hershfield 1, Hershfield 2 and multi-station approach, respectively. The ratio of PMP24 to the highest observed 1-day rainfall was consistent for the second approach of Hershfield. It was in harmony with the multi-station method, but varied widely for Hershfield 1. This may be the result of different record length effect on Hershfield 1 approach. Finally, the map of PMP24 isochrones was prepared for the second approach of Hershfield for over northeast of Iran.

  • 305.
    Tao, Hai
    et al.
    Computer Science Department, Baoji University of Arts and Sciences, Baoji, China.
    Ebtehaj, Isa
    Department of Civil Engineering, Razi University, Kermanshah, Iran. Environmental Research Center, Razi University, Kermanshah, Iran.
    Bonakdari, Hossein
    Department of Civil Engineering, Razi University, Kermanshah, Iran. Environmental Research Center, Razi University, Kermanshah, Iran.
    Heddam, Salim
    Faculty of Science, Agronomy Department, Hydraulics Division, Laboratory of Research in Biodiversity Interaction Ecosystem and Biotechnology, University 20 Août 1955, Algeria.
    Voyant, Cyril
    Castelluccio Hospital, Radiotherapy Unit, Ajaccio, France. University of Reunion Island—PIMENT Laboratory, France..
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Deo, Ravinesh
    School of Agricultural, Computational and Environmental Sciences, Centre for Sustainable Agricultural Systems & Centre for Applied Climate Sciences, Institute of Life Sciences and the Environment, University of Southern Queensland, Springfield, Australia.
    Yaseen, Zaher
    Sustainable Developments in Civil Engineering Research Group, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
    Designing a New Data Intelligence Model for Global Solar Radiation Prediction: Application of Multivariate Modeling Scheme2019Inngår i: Energies, ISSN 1996-1073, E-ISSN 1996-1073, Vol. 12, nr 7, artikkel-id 1365Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Global solar radiation prediction is highly desirable for multiple energy applications, such

    as energy production and sustainability, solar energy systems management, and lighting tasks for home use and recreational purposes. This research work designs a new approach and investigates the capability of novel data intelligent models based on the self-adaptive evolutionary extreme learning machine (SaE-ELM) algorithm to predict daily solar radiation in the Burkina Faso region. Four different meteorological stations are tested in the modeling process: Boromo, Dori, Gaoua and Po, located in West Africa. Various climate variables ssociated with the changes in solar radiation are utilized as the exploratory predictor variables through different input combinations used in the intelligent model (maximum and minimum air temperatures and humidity, wind speed, evaporation and vapor pressure deficits). The input combinations are then constructed based on the magnitude of the Pearson correlation coefficient computed between the predictors and the predictand, as a baseline method to determine the similarity between the predictors and the target variable. The results of the four tested meteorological stations show consistent findings, where the

    incorporation of all climate variables seemed to generate data intelligent models that erforms with best prediction accuracy. A closer examination showed that the tested sites, Boromo, Dori, Gaoua and Po, attained the best performance result in the testing phase, with a root mean square error and a mean absolute error (RMSE-MAE [MJ/m 2]) equating to about (0.72-0.54), (2.57-1.99), (0.88-0.65) and (1.17-0.86), respectively. In general, the proposed data intelligent models provide an excellent modeling strategy for solar radiation prediction, particularly over the Burkina Faso region in Western Africa. This study offers implications for solar energy exploration and energy management in data sparse regions.

  • 306.
    Tayebiyan, Aida
    et al.
    Kerman University of Medical Sciences, Kerman, Iran.
    Mohammad, Thamer Ahmad
    University of Baghdad, Jadriya, Iraq.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Malakootian, Mohammad
    Kerman University of Medical Sciences, Kerman, Iran.
    Comparison of Optimal Hedging Policies forHydropower Reservoir System Operation2019Inngår i: Water, ISSN 2073-4441, E-ISSN 2073-4441, Vol. 11, nr 1, artikkel-id 121Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Reservoiroperation rules play an important role in regions economic development. Meanwhile, hedging policies are mostly applied for municipal, industrial, and irrigation water supplies from reservoirs and it is less used for reservoir operation for hydropower generation. The concept of hedging and rationing factors can be used to maintain the water in a reservoir for the sake of increasing water storage and water head for future use. However, water storage and head are the key factors in operation of reservoir systems for hydropower generation. This study investigates the applicability of seven competing hedging policies including four customary forms of hedging (1PHP, 2PHP, 3PHP, DHP) and three new forms of hedging rules (SOPHP, BSOPHP, SHPHP) for reservoir operation for hydropower generation. The models were constructed in MATLABR2011b based on the characteristics of the Batang Padang hydropower reservoir system, Malaysia. In order to maximize the output of power generation in operational periods (2003–2009), three optimization algorithms namely particle swarm optimization (PSO), genetic algorithm (GA), and hybrid PSO-GA were linked to one of the constructed model (1PHP as a test) to find the most effective algorithm. Since the results demonstrated the superiority of the hybrid PSO-GA algorithm compared to either PSO or GA, the hybrid PSO-GA were linked to each constructed model in order to find the optimal decision variables of each model. The proposed methodology was validated using monthly data from 2010–2012. The results showed that there are no significant difference between the output of monthly mean power generation during 2003–2009 and 2010–2012. The results declared that by applying the proposed policies, the output of power generation could increase by 13% with respect to the historical management. Moreover, the discrepancies between mean power generations from highest to lowest months were reduced from 49 MW to 26 MW, which is almost half. This means that hedging policies could efficiently distribute the water-supply and power-supply in the operational period and increase the stability of the system. Among the studied hedging policies, SHPHP is the most convenient policy for hydropower reservoir operation and gave the best result.

  • 307.
    Yaseen, Zaher
    et al.
    School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia.
    Ebtehaj, Isa
    Department of Civil Engineering, Razi University, Iran.
    Kim, Sungwon
    Department of Railroad Construction and Safety Engineering, Dongyang University, Korea.
    Sanikhani, Hadi
    Water Engineering Department, Agriculture Faculty, University of Kurdistan, Iran.
    Asadi, H.
    Water Engineering Department, Faculty of Agriculture, University of Tabriz, Iran.
    Ghareb, Mazen Ismaeel
    Department of Computer Science, College of Science and Technology, University of Human Development, Iraq.
    Bonakdari, Hossein
    Department of Civil Engineering, Razi University, Iran.
    Mohtar, Wan Hanna Melini Wan
    Sustainable and Smart Township Research Centre (SUTRA), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Shahid, Shamsuddin
    School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia.
    Novel Hybrid Data-Intelligence Model for Forecasting Monthly Rainfall with Uncertainty Analysis2019Inngår i: Water, ISSN 2073-4441, E-ISSN 2073-4441, Vol. 11, nr 3, artikkel-id 502Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    In this research, three different evolutionary algorithms (EAs), namely, particle swarm optimization (PSO), genetic algorithm (GA) and differential evolution (DE), are integrated with the adaptive neuro-fuzzy inference system (ANFIS) model. The developed hybrid models are proposed to forecast rainfall time series. The capability of the proposed evolutionary hybrid ANFIS was compared with the conventional ANFIS in forecasting monthly rainfall for the Pahang watershed, Malaysia. To select the optimal model, sixteen different combinations of six different lag attributes taking into account the effect of monthly, seasonal, and annual history were considered. The performances of the forecasting models were assessed using various forecasting skill indicators. Moreover, an uncertainty analysis of the developed forecasting models was performed to evaluate the ability of the hybrid ANFIS models. The bound width of 95% confidence interval (d-factor) and the percentage of observed samples which was enveloped by 95% forecasted uncertainties (95PPU) were used for this purpose. The results indicated that all the hybrid ANFIS models performed better than the conventional ANFIS and for all input combinations. The obtained results showed that the models with best input combinations had the (95PPU and d-factor) values of (91.67 and 1.41), (91.03 and 1.41), (89.74 and 1.42), and (88.46 and 1.43) for ANFIS-PSO, ANFIS-GA, ANFIS-DE, and the conventional ANFIS, respectively. Based on the 95PPU and d-factor, it is concluded that all hybrid ANFIS models have an acceptable degree of uncertainty in forecasting monthly rainfall. The results of this study proved that the hybrid ANFIS with an evolutionary algorithm is a reliable modeling technique for forecasting monthly rainfall.

  • 308.
    Yaseen, Zaher Mundher
    et al.
    Sustainable Developments in Civil Engineering Research Group, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
    Ehteram, Mohammad
    Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University.
    Sharafati, Ahmad
    Civil Engineering Department, Science and Research Branch, Islamic Azad University, Tehran.
    Shahid, Shamsuddin
    School of Civil Engineering, Universiti Teknologi Malaysia (UTM).
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    El-Shafie, Ahmed
    Civil Engineering Department, Faculty of Engineering, University of Malaya, Kuala Lumpur .
    The Integration of Nature-Inspired Algorithms with Least Square Support Vector Regression Models: Application to Modeling River Dissolved Oxygen Concentration2018Inngår i: Water, ISSN 2073-4441, E-ISSN 2073-4441, Vol. 10, nr 9, artikkel-id 1124Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The current study investigates an improved version of Least Square Support Vector

    Machines integrated with a Bat Algorithm (LSSVM-BA) for modeling the dissolved oxygen (DO)concentration in rivers. The LSSVM-BA model results are compared with those obtained using M5Tree and Multivariate Adaptive Regression Spline (MARS) models to show the efficacy of this novelintegrated model. The river water quality data at three monitoring stations located in the USA areconsidered for the simulation of DO concentration. Eight input combinations of four water quality parameters, namely, water temperature, discharge, pH, and specific conductance, are used to simulate the DO concentration. The results revealed the superiority of the LSSVM-BA model over the M5 Tree and MARS models in the prediction of river DO. The accuracy of the LSSVM-BA model compared with those of the M5 Tree and MARS models is found to increase by 20% and 42%, respectively, in terms of the root-mean-square error. All the predictive models are found to perform best when all the four water quality variables are used as input, which indicates that it is possible to supply more information to the predictive model by way of incorporation of all the water quality variables.

  • 309.
    Yaseen, Zaher Mundher
    et al.
    School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Johor Bahru, Malaysia.
    Mohtar, Wan Hanna Melini Wan
    Sustainable and Smart Township Research Centre (SUTRA), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
    Ameen, Ameen Mohammed Salih
    Department of Water Resources, University of Baghdad, Baghdad, Iraq.
    Ebtehaj, Isa
    Department of Civil Engineering, Razi University, Kermanshah, Iran.
    Razali, Siti Fatin Mohd
    Sustainable and Smart Township Research Centre (SUTRA), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
    Bonakdari, Hossein
    Department of Civil Engineering, Razi University, Kermanshah, Iran.
    Salih, Sinan Q.
    Institute of Research and Development, Duy Tan University, Da Nang, Vietnam.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Shahid, Shamsuddin
    School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Johor Bahru, Malaysia.
    Implementation of Univariate Paradigm for Streamflow Simulation Using Hybrid Data-Driven Model: Case Study in Tropical Region2019Inngår i: IEEE Access, E-ISSN 2169-3536, Vol. 7, s. 74471-74481Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The performance of the bio-inspired adaptive neuro-fuzzy inference system (ANFIS) models are proposed for forecasting highly non-linear streamflow of Pahang River, located in a tropical climatic region of Peninsular Malaysia. Three different bio-inspired optimization algorithms namely particle swarm optimization (PSO), genetic algorithm (GA), and differential evolution (DE) were individually used to tune the membership function of ANFIS model in order to improve the capability of streamflow forecasting. Different combination of antecedent streamflow was used to develop the forecasting models. The performance of the models was evaluated using a number of metrics including mean absolute error (MAE), root mean square error (RMSE), coefficient of determination ( R2 ), and Willmott’s Index (WI) statistics. The results revealed that increasing number of inputs has a positive impact on the forecasting ability of both ANFIS and hybrid ANFIS models. The comparison of the performance of three optimization methods indicated PSO improved the capability of ANFIS model (RMSE = 7.96; MAE = 2.34; R2=0.998 and WI = 0.994) more compared to GA and DE in forecasting streamflow. The uncertainty band of ANFIS-PSO forecast was also found the lowest (±0.217), which indicates that ANFIS-PSO model can be used for reliable forecasting of highly stochastic river flow in tropical environment.

  • 310.
    Yassin, Ali
    et al.
    Iraq Geological Survey, Baghdad.
    Alabidi, Abdulkadhim
    Department of Geology, Faculty of Science, University of Kufa.
    Hussain, Mohammed
    Babylon University.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Knutsson, Sven
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Copper Ores in Mawat Ophiolite Complex(Part of ZSZ) NE Iraq2015Inngår i: Natural Resources, ISSN 2158-706X, E-ISSN 2158-7086, Vol. 6, nr 10, s. 514-526Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Ore microscopy study for some samples from Mawat complex NE Iraq (part of Zagros Suture Zone) showed the presence of copper ore minerals was irregularly distributed, mainly throughout the basic rocks of Mawat Ophiolite Complex. The main sulfides minerals identified were: chalcopyrite, pyrite, bornite, chalcocite and covellite. Iron hydroxides/oxides including goethite and magnetite were also observed associated with sulfide ore. Chalcopyrite and pyrite were the main primary minerals from which other ores were formed. They were originated at the orthomagmatic stage, and also deposited from aqueous solution of final stage in the consolidation of a magma forming vein textures which was observed in many samples. Two types of pyrite generations were recognized. They were pre-tectonic pyrite and post-tectonic pyrite. The secondary recognized ore textures were rim, pseudo morph, zoning, relicts, atoll and vein replacement textures. Secondary textures resulting from exsolution were also presented. Three stages of mineralization could be concluded: orthomagmatic stage (Earliest), the hydrothermal activations stage (Hypogene) and the weathering stage (Supergene). Paragenaticaly, the primary copper sulfides including chalcopyrite and bornite were responsible for other copper ores formation. These minerals were observed disseminated throughout the host mafic rocks which were considered as endogenic deposits (magmatic and hypogene origin) and they were modified as small patches of chalcocite and covellite.

  • 311.
    Yousif, Ali A.
    et al.
    Water Resources Engineering Department, College of Engineering, University of Duhok, Duhok, Iraq.
    Sulaiman, Sadeq Oleiwi
    Dams and Water Resources Department, College of Engineering, University of Anbar, Ramadi, Iraq.
    Diop, Lamine
    UFR S2ATA, Sciences Agronomiques, de l’Aquaculture et des Technologies Alimentaires, Université Gaston Berger (UGB), Saint Louis, Sénégal.
    Etheram, Mohammad
    Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan, Iran.
    Shahid, Shamsuddin
    School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Yaseen, Zaher Mundher
    ustainable Developments in Civil Engineering Research Group, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
    Open Channel Sluice Gate Scouring Parameters Prediction: Different Scenarios of Dimensional and Non-Dimensional Input Parameters2019Inngår i: Water, ISSN 2073-4441, E-ISSN 2073-4441, Vol. 11, nr 2, artikkel-id 353Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The determination of scour characteristics in the downstream of sluice gate is highly importantfor designing and protection of hydraulic structure.  The applicability of modern data-intelligence technique known as extreme learning machine (ELM) to simulate scour characteristics has been examined in this study.  Three major characteristics of scour hole in the downstream of a sluice gate, namely the length of scour hole (Ls), the maximum scour depth (Ds), and the position of maximum scour depth (Lsm), are modeled using different properties of the flow and bed material. The obtained results using ELM were compared with multivariate adaptive regression spline (MARS). The dimensional analysis technique was used to reduce the number of input variable to a smaller number of dimensionless groups and both the dimensional and non-dimensional variables were used to model the scour characteristics. The prediction performances of the developed models were examined using several statistical metrics. The results revealed that ELM can predict scour properties with much higher accuracy compared to MARS. The errors in prediction can be reduced in the range of 79%–81% using ELM models compared to MARS models. Better performance of the models was observed when dimensional variables were used as input. The result indicates that the use of ELM with non-dimensional data can provide high accuracy in modeling complex hydrological problems.

  • 312.
    Zainy, Maher
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geovetenskap och miljöteknik.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Bauer, Tobias
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geovetenskap och miljöteknik.
    Ask, Maria
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geovetenskap och miljöteknik.
    The Tectonic and Structural Classifications of the Western Part of the Zagros Fold and Thrust Belt, North Iraq, Review and Discussion2017Inngår i: Journal of Earth Sciences and Geotechnical Engineering, ISSN 1792-9040, Vol. 7, nr 2, s. 71-89Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The Zagros fold and thrust belt represents a tectonically significant area, and one

    of the richest areas in oil and gas reservoirs in the world. The Zagros fold and

    thrust belt is the deformational product of the Cretaceous-present day convergence

    of the Arabian and Iranian (Eurasian) plates (subduction and collision). The belt

    extends more than 2000 km from southern Turkey through the north and

    northeastern Iraq to the Strait of Hormuz in southwestern Iran. The Zagros fold

    and thrust belt is divided into two parts which are; Western part within Iraqi

    region and Eastern part within Iranian region. The western part of the Zagros fold

    and thrust belt has been traditionally subdivided into several structural zones that

    are generally striking parallel to the plate boundary. This is characterized by

    exposure of Late Ordovician to Pliocene - Pliestocene formations with different

    types of Quaternary Sediments. This research will concentrate on Western part of

    Zagros fold and thrust belt and the styles of structural classifications, which will

    aid to clarify and better understand the tectonic and structural history and

    evolution of the region. We have considered the last version of structural

    classification as the most relevant one to the reality, especially within outer

    platform (Unstable shelf). Where it divides the region into four structural zones,

    which are: Low Folded zone, High Folded Zone, Imbricate Zone, and Zagros

    Suture Zone and these zones were further divided to several subzones. This

    classification is based on the structural style and intensity of deformation,

    stratigraphy, mechanicalstratigraphy and tectono-stratigraphy of the deformed

    sequences, Age of deformation, surface physiography and morphology. The data

    used in the classification is more reliable, up to date and relevant.

  • 313.
    Zainy, Maher T.
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geovetenskap och miljöteknik.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Bauer, Tobias
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geovetenskap och miljöteknik.
    Ask, Maria
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geovetenskap och miljöteknik.
    The Tectonic and Structural Classifications of the Western Part of the Zagros Fold and Thrust Belt, North Iraq, Review and Discussion2017Inngår i: Journal of Earth Sciences and Geotechnical Engineering, ISSN 1792-9040, E-ISSN 1792-9660, Vol. 7, nr 2, s. 71-89Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The Zagros fold and thrust belt represents a tectonically significant area, and one of the richest areas in oil and gas reservoirs in the world. The Zagros fold and thrust belt is the deformational product of the Cretaceous-present day convergence of the Arabian and Iranian (Eurasian) plates (subduction and collision). The belt extends more than 2000 km from southern Turkey through the north and northeastern Iraq to the Strait of Hormuz in southwestern Iran. The Zagros fold and thrust belt is divided into two parts which are; Western part within Iraqi region and Eastern part within Iranian region. The western part of the Zagros fold and thrust belt has been traditionally subdivided into several structural zones that are generally striking parallel to the plate boundary. This is characterized by exposure of Late Ordovician to Pliocene - Pliestocene formations with different types of Quaternary Sediments. This research will concentrate on Western part of Zagros fold and thrust belt and the styles of structural classifications, which will aid to clarify and better understand the tectonic and structural history and evolution of the region. We have considered the last version of structural classification as the most relevant one to the reality, especially within outer platform (Unstable shelf). Where it divides the region into four structural zones, which are: Low Folded zone, High Folded Zone, Imbricate Zone, and Zagros Suture Zone and these zones were further divided to several subzones. This classification is based on the structural style and intensity of deformation, stratigraphy, mechanicalstratigraphy and tectono-stratigraphy of the deformed sequences, Age of deformation, surface physiography and morphology. The data used in the classification is more reliable, up to date and relevant.

  • 314.
    Zakaria, Saleh
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Dawood, Anwer
    Koya University.
    Knutsson, Sven
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Future Prospects for Macro Rainwater Harvesting Technique at Northwest Iraq2014Inngår i: Journal of Earth Sciences and Geotechnical Engineering, ISSN 1792-9040, E-ISSN 1792-9660, Vol. 4, nr 1, s. 1-16Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Rainfall data is part of the main components in the hydrological cycle and firmly associated with almost all aspect of climate. Previous research indicated that Macro rainwater harvesting techniques (RWH) can be implemented successfully in Sinjar area northwest Iraq. Recently, prediction of rainfall trends in the Middle East and Iraq in particular suggest a decrease in rainfall due to climate change. This raises the question about the future validity of RWH in the area.In this research, the validity of RWH was investigated using predicted rainfall data in Sinjar area. Eight seasons were selected representing different decades that start 2020 to 2099. The results showed that the maximum, minimum and average harvested future runoff volumes reached about 28.5, 7.61, and 13.9 million cubic meters, that may occurred during the seasons 2055-2056, 2046-2047, and 2065-2066 respectively. The resultant harvested runoff volumes produced by four selected basins at Eastern Sinjar as a catchment area with total area of 435.15 km2. In the second part, an attempt had been made to provide the study area by a set of charts that can help in estimating daily runoff under dry, wet and normal conditions for rainfall depths that ranged between 15 to 55 mm.

  • 315.
    Zakaria, Saleh
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Ezz-Aldeen, Mohammad
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Knutsson, Sven
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Rain water harvesting at eastern Sinjar mountain, Iraq2012Inngår i: Geoscience Research, ISSN 0976-9846, E-ISSN 0976-9854, Vol. 3, nr 2, s. 100-108Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Iraq is facing water shortages and the problem is becoming more serious with time. The main water resources of Iraq (Tigris and Euphrates Rivers) suffer from severe reduction in their discharges due to construction dams on the both banks of Rivers inside Turkey and Syria. Agricultural land had been reduced drastically due to water scarcity. Despite this fact, none of the Iraqi farmers had yet used non-conventional techniques to augment water resources to overcome water shortage problems such as Rainwater Harvesting (RWH) technique.The main aim of this research is to contribute to solving the problem of water shortage of Iraq by finding effective results in terms of saving significant runoff water for irrigation purposes, and therefore provide an academic effort as a tool for encourage and decision support for RWH in Iraq.Macro RWH (large catchment area), was applied at East Sinjar Mountain in Iraq. The estimating volume of harvested runoff ranged (0.11-28.11) ×106 m3 calculated using the Watershed Modeling System (WMS) for the four selected basins together with total area of 435.14 km2 for the study period of (1990-2009).The results of estimating runoff volume showed that the runoff volume can be considered for irrigation practices especially in supplementary irrigation.A linear programming technique was adopted to maximize the irrigated area. Three scenarios of irrigation level were chosen: supplemental irrigation (SI) 100% Satisfy full irrigation requirements (S1), deficit irrigation (DI) 50% of full irrigation requirements (S2), and deficit irrigation (DI) 25% of full irrigation requirements (S3). The resultant irrigated area ranged between 18-2646 for SI 100%, 58-41303 for DI 50%, and 27-9543for DI 25% hectares respectively for all four selected basins together. These results reflect useful value of RWH and its influence to increase the irrigated area in the studied region.

  • 316.
    Zakaria, Saleh
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Knutsson, Sven
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Historical and future climatic change scenarios for temperature and rainfall for Iraq2013Inngår i: Journal of Civil Engineering and Architecture, ISSN 1934-7359, E-ISSN 1934-7367, Vol. 7, nr 12, s. 1574-1594Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The world is facing a big challenge of climatic change, mainly due to increasing concentrations of greenhouse gases (GHGs) in the atmosphere. Many researches indicated that the climate change occurred disproportionately on developing countries such as Middle East and North Africa (MENA) countries.The climatic model CGCM3.1 (T47) 2 is used in this research to explain the changes in average temperatures and the rainfall on MMENA region with special emphases on Iraq. Historical records (1900-2009) and future (2020-2099) were studied and compared, each period was divided to four sub-periods of thirty years. The results showed that the average monthly temperature for the four historical periods fluctuated between the lowest and highest value as follows: 9.2-32.9, 10.3-32.7, 9.3-32.8, and 8.6-33.9 (Cº).The rainfall for historical periods kept on the same distribution during the past 109 years, and fluctuated between the lowest and highest value of 21.3 and 37.6 mm with an average that reached up to 26.51 mm. For the future period, the maximum average monthly temperature reached up to 37.41 (Cº) during June and minimum average monthly temperature reached up to 4.24 (Cº) during January. The average monthly temperature fluctuated giving a clear impression that the future portends a higher temperature. The average monthly of rainfall, for the future period, fluctuated between the lowest and highest value of 12.91 and 20.63 mm with an average that reached 16.84 mm which represent a reduction percentage of about 36.47% relative to the historical record of rainfall for the same months.

  • 317.
    Zakaria, Saleh
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Knutsson, Sven
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Rainwater harvesting using recorded and hypothetical rainfall data scenarios2013Inngår i: Journal of Earth Sciences and Geotechnical Engineering, ISSN 1792-9040, E-ISSN 1792-9660, Vol. 3, nr 2, s. 21-42Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Macro Rainwater Harvesting (RWH) under recorded and forecasting rainfall scenarios helps to overcome the water shortage problem. Eastern Sinjar District-Iraq had been investigated for the potential of RWH with a catchment area of four basins. Three recorded rainfall scenarios (S1, S2, and S3) were diagnosed representing seasons of the maximum, minimum and average weekly rainfall events for the period 1990-2011. Forecasting the rainfall depths for the same catchment area were estimated depending on Box-Jenkins methodology to build Autoregressive Integrated Moving Average (ARIMA) models for weekly rainfall data for the period 2012-2016. Three forecasting rainfall scenarios (S4, S5, and S6) were diagnosed to represent the seasons of the maximum, minimum and average weekly forecasting rainfall events. The results of these scenarios were compared with an average area to be irrigated obtained from the results of 19 years record. The results indicated that in wet years RWH technique with supplemental irrigation help to give total irrigated area larger than a total specified average irrigated area. In average and dry years, the amounts of the additional needed water were estimated to irrigate the total areas that should be increase in order to satisfy the specified average irrigated area.

  • 318.
    Zakaria, Saleh
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Knutsson, Sven
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Wheat yield scenarios for rainwater harvesting at northern Sinjar mountain, Iraq2013Inngår i: Journal of Natural Science, ISSN 0075-4307, Vol. 5, nr 10, s. 1057-1068Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Iraq is part of West Asia and North Africa (WANA) region. The area is known as dry land, famous with gap of crop yield as a result of the water shortage problem.Six basins with total catchment area of 614.19 km2 at rain-fed of Northern Sinjar District-Iraq had been chosen to investigate both of the potential of rainwater harvesting (RWH) and three supplemental irrigation (SI) scenarios S1, S2, and S3 (100%, 75%, and 50% of full irrigation requirement) to support the wheat yield (bread and durum) under various rainfall conditions for the study period 1990-2009.The results indicated that, the total volume of harvested runoff can be considered for irriga- tion practices, that reached up to 42.4 , 25.1, 0.6, 10.9 (*106 m3) during 1995-1996, 1996-1997, 1998-1999, and 2001-2002, respectively.The total irrigated area ranged between 10.9-5163.7 and 8.8-3595.7 (ha) for bread and durum wheat crop for the four selected seasons respectively. The yield scenarios for supplemental irrigation condition Y1, Y2, and Y3 give 68–9712, 94–12999, and 105–22806 Ton for bread wheat, and for durum wheat give 56–8035, 87–10906, and 103–17396 Ton.

  • 319.
    Zakaria, Saleh
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Knutsson, Sven
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Al-Badrany, Thafer
    University of Mosul.
    ARIMA Models for weekly rainfall in the semi-arid Sinjar District at Iraq2012Inngår i: Journal of Earth Sciences and Geotechnical Engineering, ISSN 1792-9040, E-ISSN 1792-9660, Vol. 2, nr 3Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Time series analysis and forecasting is an important tool which can be used to improve water resources management. Iraq is facing a severe water shortage problem. The use of rainwater harvesting is one of the techniques to overcome this problem. To put this into practice, it is of prime importance to forecast future rainfall events on a weekly basis.Box-Jenkins methodology has been used in this research to build Autoregressive Integrated Moving Average (ARIMA) models for weekly rainfall data from four rainfall stations in the North West of Iraq: Sinjar, Mosul, Rabeaa and Talafar for the period 1990-2011. Four ARIMA models were developed for the above stations as follow: (3,0,2)x(2,1,1)30, (1,0,1)x(1,1,3)30, (1,1,2)x(3,0,1)30 and (1,1,1)x(0,0,1)30 respectively. The performance of the resulting successful ARIMA models were evaluated using the data year (2011).These models were used to forecast the weekly rainfall data for the up-coming years (2012 to 2016). The results supported previous work that had been carried out on the same area recommending the use of water harvesting in agricultural practices.

  • 320.
    Zakaria, Saleh
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Knutsson, Sven
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Ezz-Aldeen, Mohammad
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Rain water harvesting and supplemental irrigation at northern Sinjar mountain, Iraq2012Inngår i: Journal of Purity, Utility Reaction and Environment, ISSN 2232-1179, Vol. 1, nr 3, s. 121-141Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Iraq is facing water shortages and the problem is becoming more serious with time. Despite this fact, none of the farmers had used Rainwater Harvesting (RWH) technique yet. The main aim of this research is to contribute to solving the problem of water shortage of Iraq by finding effective results in terms of saving significant runoff water for irrigation purposes. Macro RWH was applied at Northern Sinjar Mountain in Iraq, where macro is indicator for large catchment area. Runoff volume was determined by applying the watershed modeling system (WMS) for six selected basins with total area of 614.19km2 for the study period of (1990-2009). The volume of harvested water ranged (0.6-42.4) × 106 m3 for all six basins together for the study period. A linear programming technique was adopted to optimize the irrigated area for three scenarios of irrigation, 1/ supplemental irrigation (SI) 100%, 2/ deficit irrigation (DI) 50%, 3/ deficit irrigation (DI) 25% of full irrigation requirements. The results of calculation of irrigated area ranged between 14.5-3663.7 for SI 100%, 33.0-39827.1 for DI 50%, and 20.1-7314.0 for DI 25% hectares respectively. These results reflect useful value of RWH and its influence to increase the irrigated area in the studied region.

  • 321.
    Zakaria, Saleh
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Mustafa, Yaseen
    Zakho University.
    Alshibli, Mohammad
    Ministry of Water Resources.
    Knutsson, Sven
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Macro rain water harvesting network to estimate annual runoff at Koysinjaq (Koya) district, Kurdistan region of Iraq2013Inngår i: Engineering, ISSN 1947-3931, E-ISSN 1947-394X, Vol. 5, nr 12, s. 956-966Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Macro rainwater harvesting techniques (Macro RWH) are getting more popular to overcome the problem of water scar-city in arid and semi-arid areas. Iraq is experiencing serious water shortage problem now despite the presence of Tigris and Euphrates Rivers. RWH can help to overcome this problem. In this research RWH was applied on Koya city in its districts, North West Iraq. Twenty two basins were identified as the catchment area for the application of RWH tech-nique. Watershed modeling system (WMS), based on Soil Conservation Service - curve number (SCS-CN) method, was applied to calculate direct runoff from individual daily rain storm using average annual rainfall records of the area. Two consecutive adjustments for the curve number were considered. The first was for the antecedent moisture condition (AMC) and the second was for the slope. These adjustments increased the total resultant harvested runoff up to 79.402 *106 m3. The average percentage of increase of harvested runoff volume reached 9.28%. This implies that water allocation is of the order of 2000 cubic meter per capita per year. This quantity of water will definitely help to develop the area.

  • 322.
    Zakaria, Saleh
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Mustafa, Yaseen
    Knutsson, Sven
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Ahmed, Payman
    Ghafour, Bahra
    Rainwater harvesting at Koysinjaq (Koya), Kurdistan region, Iraq2013Inngår i: Journal of Earth Sciences and Geotechnical Engineering, ISSN 1792-9040, E-ISSN 1792-9660, Vol. 3, nr 4, s. 25-46Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Macro Rainwater Harvesting (RWH) has been tested at Koysinjaq (Koya) District, Kurdistan region of Iraq, due to its limited source of water.The studied area consists of four basins with total area of 228.96 km2. The estimating volumes of harvested runoff for the four selected basins together for the study period (2002-2011) were calculated using the Watershed Modeling System (WMS) which is based on Soil Conservation Service Curve Number (SCS-CN) method.In this research, a comparison between maximum and minimum rainfall seasons was conducted to give better understanding for the events that is governing the harvested runoff collection.The results show that, the total harvested runoff ranged from14.83 to 80.77(*106 m3) from the four selected basins together. This indicates that the technique of Macro RWH can be considered to provide a new source of water to contribute to reduce the problem of water scarcity.

  • 323.
    Zakaria, Saleh
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Mustafa, Yassen
    Zakho University.
    Mohammed, Diary
    Sulaimaniya University.
    Ali, Salahalddin
    Sulaimaniya University.
    Al-Ansari, Nadhir
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Knutsson, Sven
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Estimation of annual harvested runoff at Sulaymaniyah Governorate, Kurdistan region of Iraq2013Inngår i: Journal of Natural Science, ISSN 0075-4307, Vol. 5, nr 12, s. 1272-1283Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Kurdistan Region (KR) of Iraq has suffered from the drought period during the seasons 2007- 2008 and 2008-2009 that affected the human and economic activities of the region. Macro rain- water harvesting (Macro RWH) is one of the te- chniques that can ensure water availability for a region having limited water resources. This te- chnique is based on Soil Conservation Service- Curve Number (SCS-CN) method and the Water- shed Modeling System (WMS) was used to esti- mate the runoff. Rainfall records of Sulaymani- yah area for the period 2002-2012 were studied and an average season was selected (2010-2011). The results of the application of the WMS model showed that about 10.76 million cubic meters could be harvested. The results also showed that the quantity of the harvested runoff was highly affected by rainfall depth, curve number values, antecedent moisture conditions (AMC) and the area of the basins.

4567 301 - 323 of 323
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