Groundwater Origin in Qanats,Chemo-Isotopic,and Hydrogeological Evidence     

Hojat Mirani Moghadam  Rahim Bagheri  Gholam Hossein Karami  Hadi Jafari 《Ground water》2020,58(5):771-776

A systematic study of the chemo-isotopic characteristics and origin of the groundwater was carried out at six major qanats in the hyper-arid Gonabad area, eastern Iran. These qanats as a sustainable groundwater extraction technology have a long history, supporting human life for more than a thousand years in this region. The Gonabad qanats are characterized by outlet electrical conductivity (EC) values of 750 to 3900 µS/cm and HCO₃-Na-Mg and Cl-Na water types. The Gonabad meteoric water line (G_nMWL) was drawn at the local scale as δ²H = 6.32×δ¹⁸O + 8.35 (with R² = 0.90). It has a lower slope and intercept than the global meteoric water line due to different water vapor sources and isotope kinetic fractionation effects during precipitation in this arid region. The altitude effects on isotopic content of precipitation data were derived as δ¹⁸O = (−0.0031 × H_(m.a.s.l))−1.3). The δ²H and δ¹⁸O isotopes signatures demonstrate a meteoric origin of the groundwater of these qanats. The shift of the qanat's water samples from the local meteoric water line (LMWL) in a dry period with higher temperatures is most probably due to evaporation during the infiltration process and water movement in qanat gallery. Based on the isotopic results and mass balance calculations, the qanats are locally recharged from an area between 2000 to 2400 m.a.s.l of nearby carbonate formations and coarse alluvial sediments. The dissolution of evaporate interlayers in Neogene deposits deteriorates the groundwater quality, especially in Baidokht qanat.  相似文献   

Analytical‐numerical solution for stress distribution around tunnel reinforced by radial fully grouted rockbolts          下载免费PDF全文

Masoud Ranjbarnia  Pierpaolo Oreste  Ahmad Fahimifar  Amir Arya 《国际地质力学数值与分析法杂志》2016,40(13):1844-1862

This paper presents an analytical‐numerical approach to obtain the distribution of stresses and deformations around a reinforced tunnel. The increase in the radial stress of the reinforced tunnel, based on the performance of a bolt, is modeled by a function, which its maximum value is in the vicinity of the bolt periphery and it exponentially decreases in the far distance from the bolt. On the basis of this approach, the shear stiffness between the bolt and the rock mass and the shear stress distribution around the bolt within the rock mass are also analytically obtained. The results are compared with those obtained by the assumption of ‘uniform increase of radial stress’ method, which is made by the previous studies. The analyses show when the bolts' spacing is large, the safety factor must be increased if the ‘uniform increase of radial stress’ method is used for the design. Finally, a procedure is introduced to calculate the non‐equal deformation of the rock mass between the bolts at any radius that can be useful to compute the bending moment in shotcrete layer in New Austrian Tunnelling Method (NATM) approach. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献   

Skill Assessment of Copernicus Climate Change Service Seasonal Ensemble Precipitation Forecasts over Iran     

Masoud NOBAKHT  Bahram SAGHAFIAN  Saleh AMINYAVARI 《大气科学进展》2021,38(3):504-521

Medium to long-term precipitation forecasting plays a pivotal role in water resource management and development of warning systems.Recently,the Copernicus Climate Change Service(C3S)database has been releasing monthly forecasts for lead times of up to three months for public use.This study evaluated the ensemble forecasts of three C3S models over the period 1993-2017 in Iran’s eight classified precipitation clusters for one-to three-month lead times.Probabilistic and non-probabilistic criteria were used for evaluation.Furthermore,the skill of selected models was analyzed in dry and wet periods in different precipitation clusters.The results indicated that the models performed best in western precipitation clusters,while in the northern humid cluster the models had negative skill scores.All models were better at forecasting upper-tercile events in dry seasons and lower-tercile events in wet seasons.Moreover,with increasing lead time,the forecast skill of the models worsened.In terms of forecasting in dry and wet years,the forecasts of the models were generally close to observations,albeit they underestimated several severe dry periods and overestimated a few wet periods.Moreover,the multi-model forecasts generated via multivariate regression of the forecasts of the three models yielded better results compared with those of individual models.In general,the ECMWF and UKMO models were found to be appropriate for one-month-ahead precipitation forecasting in most clusters of Iran.For the clusters considered in Iran and for the long-range system versions considered,the Météo France model had lower skill than the other models.  相似文献   

Rehabilitation of Temporary Composite Dams (Case Study: Mared Soil-Sheet Pile Dam)     

Saber Alidadi  Masoud Hakami 《Geotechnical and Geological Engineering》2015,33(1):137-142

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Estimation of the Rock Load in Non-squeezing Ground Condition Using the Post Failure Properties of Rock Mass     

Mohsen Soleiman Dehkordi  H. A. Lazemi  K. Shahriar  Masoud Soleiman Dehkordi 《Geotechnical and Geological Engineering》2015,33(4):1115-1128

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Studying the effects of deformable panels on seismic displacement of gravity quay walls     

Amirali Mostafavi Moghadam  Abbas Ghalandarzadeh  Ikuo Towhata  Majid Moradi  Babak Ebrahimian  Pourya Hajialikhani 《Ocean Engineering》2009,36(15-16):1129-1148

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An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia   总被引：7，自引：2，他引：5  

Masoud Bakhtyari Kia  Saied Pirasteh  Biswajeet Pradhan  Ahmad Rodzi Mahmud  Wan Nor Azmin Sulaiman  Abbas Moradi 《Environmental Earth Sciences》2012,67(1):251-264

Flooding is one of the most destructive natural hazards that cause damage to both life and property every year, and therefore the development of flood model to determine inundation area in watersheds is important for decision makers. In recent years, data mining approaches such as artificial neural network (ANN) techniques are being increasingly used for flood modeling. Previously, this ANN method was frequently used for hydrological and flood modeling by taking rainfall as input and runoff data as output, usually without taking into consideration of other flood causative factors. The specific objective of this study is to develop a flood model using various flood causative factors using ANN techniques and geographic information system (GIS) to modeling and simulate flood-prone areas in the southern part of Peninsular Malaysia. The ANN model for this study was developed in MATLAB using seven flood causative factors. Relevant thematic layers (including rainfall, slope, elevation, flow accumulation, soil, land use, and geology) are generated using GIS, remote sensing data, and field surveys. In the context of objective weight assignments, the ANN is used to directly produce water levels and then the flood map is constructed in GIS. To measure the performance of the model, four criteria performances, including a coefficient of determination (R ²), the sum squared error, the mean square error, and the root mean square error are used. The verification results showed satisfactory agreement between the predicted and the real hydrological records. The results of this study could be used to help local and national government plan for the future and develop appropriate (to the local environmental conditions) new infrastructure to protect the lives and property of the people of Johor.  相似文献   

Investigation of Effective Parameters on the Embankment Dam Filter Behavior in Simultaneous Cracking in the Core and Filter     

S. M. Ali Zomorodian  Mohammad Jamali Moghadam 《Geotechnical and Geological Engineering》2011,29(4):637-644

Cracks in filter can develop as a result of earthquake deformations or post-construction settlement and in some cases cracks extended through both the core and filter. Hence, a test apparatus has been developed to investigate filter performance in the case of filter and core material cracking in the embankment dams. The apparatus allows testing of incomplete cylindrical test specimens of 10 cm diameter and height of 20 cm. If the filters work well and successfully, crack filling occur, also the flow rate decrease, and the head water pressure increase to the range of early pressure. In the failed filters case, the flow rate do not decrease and remain high, also a very low head water pressure take place. In this research, variations of pressure, fines contents of filter soils, compaction time, PI of the base material and amount of eroded materials was evaluated. Results showed that prime flow rate increased as hydraulic gradient increased, but decreased in a little time and reach to a stable value. Filter with 15% of non-plastic fine content, had ability to slump to fill the crack, but its coefficient of permeability decreased significantly, hence, cannot be used as a filter in embankment dams.  相似文献   

Runoff modeling of the wadi systems for estimating flash flood and groundwater recharge potential in Southern Sinai, Egypt   总被引：1，自引：1，他引：0  

Alaa A. Masoud 《Arabian Journal of Geosciences》2011,4(5-6):785-801

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An Empirical Model for Significant Duration of the Ground Motions Containing Velocity Pulses     

Daryoushi  Masoud  Saffari  Hamid  Mahdavian  Abbas 《Izvestiya Physics of the Solid Earth》2021,57(6):950-964

Izvestiya, Physics of the Solid Earth - ln this study, two relationships have been presented for predicting the significant duration values $$({{D}_{{s5 - 75}}}$$ and $${{D}_{{s5 - 95}}})~$$ of...  相似文献