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Mohammad Hossein Niksokhan
School of Environment, College of Engineering, University of Tehran, Tehran, Iran

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Research article
Published: 07 October 2020 in Hydrological Sciences Journal
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Hydropower is essential for global electricity production, but it consumes water by evaporation from the reservoir surface. Here, a new approach is introduced in relation to modelling the water footprint of electricity (WFe) from hydropower. Two of the most important variables in calculating the WFe are volume of evaporation (EV) and electricity production (EP). In this study, the random forest (RF) model was used to predict both EV and EP. For analysing hybrid models, wavelet transform was used and wavelet RF (WRF) models were developed. After decomposing the input variables by wavelet transform, the relief algorithm (RA) was used to recognize important components and inserted into the RF model. The proposed approach was applied at Mahabad Hydropower in Iran. The results suggest that applying the wavelet transform on input data and using algorithms such as RA can be regarded as a good approach for modelling of EV and EP.

ACS Style

Mohammad Reza Golabi; Feridon Radmanesh; Ali Mohammad Akhoond-Ali; Mohammad Hossein Niksokhan; Ozgur Kisi. Development of an indirect method for modelling the water footprint of electricity using wavelet transform coupled with the random forest model. Hydrological Sciences Journal 2020, 65, 2521 -2534.

AMA Style

Mohammad Reza Golabi, Feridon Radmanesh, Ali Mohammad Akhoond-Ali, Mohammad Hossein Niksokhan, Ozgur Kisi. Development of an indirect method for modelling the water footprint of electricity using wavelet transform coupled with the random forest model. Hydrological Sciences Journal. 2020; 65 (15):2521-2534.

Chicago/Turabian Style

Mohammad Reza Golabi; Feridon Radmanesh; Ali Mohammad Akhoond-Ali; Mohammad Hossein Niksokhan; Ozgur Kisi. 2020. "Development of an indirect method for modelling the water footprint of electricity using wavelet transform coupled with the random forest model." Hydrological Sciences Journal 65, no. 15: 2521-2534.

Original paper
Published: 19 September 2020 in Arabian Journal of Geosciences
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Given the limited fresh water resources available, evaporation from dam reservoirs and freshwater lakes whereby large amounts of water resources are lost is now becoming a serious challenge in hydrology and water resource management. In this study, Kohli and Frenken (KF) method and the KF modified (MKF) (for the modification of this method, level I (250 m) reference evapotranspiration (RET) data were obtained from the FAO’s WaPOR Product (FWP) which is a ready product based on remote sensing (RS)) were utilized to estimate reservoir evaporation (RE) in seventeen stations in Iran for the period of 9 years: 2009–2018. The current study includes four distinct steps, as follows. In the first step, the KF method was evaluated with the ground data (measured), and the ready RS product was then validated in the second step. In the third step, we evaluated the MKF method. Finally, in the fourth step, a number of statistical indices were evaluated for each of the methods in order to examine its performance. The results indicated that there was no significant difference between the estimated evaporation values using KF method and the measured values based on the statistical indices. As such, the validation of the ready RS product was acceptable for all dam reservoirs. Moreover, it was found that coefficients of the MKF equation for all stations had a relatively high degree of reliability (R〉0.871). Also, these coefficients had a wide range of variations in different regions, so using a fixed coefficient for all stations will have a relatively large error. The findings also revealed that using the MKF method can improve the performance of the KF method from 0.11 to 9.28%.

ACS Style

Mohammad Reza Golabi; Mohammad Hossein Niksokhan; Feridon Radmanesh. Estimating reservoir evaporation: fusing Kohli and Frenken method and the FAO’s WaPOR Product. Arabian Journal of Geosciences 2020, 13, 1 -9.

AMA Style

Mohammad Reza Golabi, Mohammad Hossein Niksokhan, Feridon Radmanesh. Estimating reservoir evaporation: fusing Kohli and Frenken method and the FAO’s WaPOR Product. Arabian Journal of Geosciences. 2020; 13 (19):1-9.

Chicago/Turabian Style

Mohammad Reza Golabi; Mohammad Hossein Niksokhan; Feridon Radmanesh. 2020. "Estimating reservoir evaporation: fusing Kohli and Frenken method and the FAO’s WaPOR Product." Arabian Journal of Geosciences 13, no. 19: 1-9.

Article
Published: 01 August 2020 in Water Resources Management
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Determining the optimized policies in the exploitation of groundwater water resources is a complicated issue, especially when there are several different managers with conflicting goals. The current study presents a new multi-purpose method to reach a compromise among different stakeholders by determining optimal social policies and sustainable hydro-environmental management of underground water resources. This method simultaneously considers qualitative and quantitative simulation and optimization, stakeholders’ preferences, and uncertainty analysis. In this study, the recharge was determined and incorporated in MODFLOW groundwater current model and MT3DMS pollution transfer model by using the hydrological model SWAT. In addition, DREAM (zs) algorithm (derived from algorithms based on Markov chain Monte Carlo) was used to examine the uncertainty of MODFLOW model parameters. The optimal head and TDS rate were determined in the studied aquifer by linking the model with MOPSO. Then, the Pareto frontier derived from the previous step, was utilized to determine the allocation rate of groundwater resources among a set of non-dominated solutions using Social Choice Rules (SCR) including Condorcet, Median Voting Rule (MVR), and Fallback Bargaining (FB) including unanimity fallback bargaining and fallback bargaining with impasse. The results showed that almost all the selected methods of conflict resolution in this research behaved similarly, and their results were not significantly different from each other. However, the comparison of these methods indicated that the MVR with the minimum reduction in withdrawal discharge and the maximum elevation in response to optimal allocation policies had the best performance. The amount of water extracted from the study area is about 540 million m3/year, which reaches 395 million m3/year.

ACS Style

Khadije Norouzi Khatiri; Mohammad Hossein Niksokhan; Amin Sarang; Asghar Kamali. Coupled Simulation-Optimization Model for the Management of Groundwater Resources by Considering Uncertainty and Conflict Resolution. Water Resources Management 2020, 34, 3585 -3608.

AMA Style

Khadije Norouzi Khatiri, Mohammad Hossein Niksokhan, Amin Sarang, Asghar Kamali. Coupled Simulation-Optimization Model for the Management of Groundwater Resources by Considering Uncertainty and Conflict Resolution. Water Resources Management. 2020; 34 (11):3585-3608.

Chicago/Turabian Style

Khadije Norouzi Khatiri; Mohammad Hossein Niksokhan; Amin Sarang; Asghar Kamali. 2020. "Coupled Simulation-Optimization Model for the Management of Groundwater Resources by Considering Uncertainty and Conflict Resolution." Water Resources Management 34, no. 11: 3585-3608.

Journal article
Published: 12 July 2020 in Journal of Contaminant Hydrology
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The transport of pollutants inside the groundwater system is profoundly affected by absorption and transmission via colloid or soil particles. Therefore, it is essential to investigate the significant pollutants (Such as hexavalent chromium (Cr(VI))) transfer in the presence of colloid particles that can facilitate or retain this transfer. For this purpose, an experiment is carried out in a saturated porous media column to study the bentonite concentration, flow velocity and sand grain size effects on co-transport of Cr(VI) with bentonite. The results of this study demonstrated that the colloid particles facilitate the transfer of Cr(VI) by 30% in 200 mg/l bentonite colloids concentration. The amount of transmitted Cr(VI) is decreased by increasing the bentonite colloids concentration from 200 mg/l to 300 mg/l. As the flow velocity increased from 2 cm/min to 3.3 cm/min, the amount of transferred Cr(VI) increased by 7%. The results show that with reducing the sand grain size, the amount of transmitted bentonite and Cr(VI) is reduced that this effect is more sensible in bentonite transport. As a result, it can be noted that the bentonite colloidal particles according to its concentration and experimental conditions, may facilitate or retain the Cr(VI) transport and sand gradation has a significant impact on colloid and pollutant transmission.

ACS Style

Behzad Ghiasi; Mohammad Hossein Niksokhan; Ali Mahdavi Mazdeh. Co-transport of chromium(VI) and bentonite colloidal particles in water-saturated porous media: Effect of colloid concentration, sand gradation, and flow velocity. Journal of Contaminant Hydrology 2020, 234, 103682 .

AMA Style

Behzad Ghiasi, Mohammad Hossein Niksokhan, Ali Mahdavi Mazdeh. Co-transport of chromium(VI) and bentonite colloidal particles in water-saturated porous media: Effect of colloid concentration, sand gradation, and flow velocity. Journal of Contaminant Hydrology. 2020; 234 ():103682.

Chicago/Turabian Style

Behzad Ghiasi; Mohammad Hossein Niksokhan; Ali Mahdavi Mazdeh. 2020. "Co-transport of chromium(VI) and bentonite colloidal particles in water-saturated porous media: Effect of colloid concentration, sand gradation, and flow velocity." Journal of Contaminant Hydrology 234, no. : 103682.

Journal article
Published: 05 June 2020 in Journal of Hydroinformatics
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This article aims to present a new methodology for waste load allocation (WLA) in a riverine system considering the uncertainty and achieve the lowest amount of inequity index, cost, and fuzzy risk of standard violation. To find a surface of undominated solutions, a new modified PAWN method, initially designed for sensitivity analysis, was developed and coupled with a simulation-optimization process using multi-objective particle swarm optimization (MOPSO) algorithm, to consider the uncertainty of all affecting variables and parameters by using their probability distribution. The proposed methodology applied to Sefidrood River in the northern part of Iran. Graph model for conflict resolution (GMCR) as a subset of game theory was implemented to attain a compromise on WLA among the stakeholders of a river system's quality in Iran: Department of Environment, Municipal Waste Water, and Private Sector. Some undominated solutions were used in GMCR model and modeling the conflict among decision makers reveals that their preferences and the status quo do not lead to a solely stable equilibrium; thus the intervention of a ruler as arbitrator leads them to reach a compromise on a scenario that has a median FRVS and cost. Sensitivity analysis was done using the PAWN method to assess the sensitivity of three intended objectives to all variables and parameters.

ACS Style

Behnam Andik; Mohammad Hossein Niksokhan. Waste load allocation under uncertainty using game theory approach and simulation-optimization process. Journal of Hydroinformatics 2020, 22, 815 -841.

AMA Style

Behnam Andik, Mohammad Hossein Niksokhan. Waste load allocation under uncertainty using game theory approach and simulation-optimization process. Journal of Hydroinformatics. 2020; 22 (4):815-841.

Chicago/Turabian Style

Behnam Andik; Mohammad Hossein Niksokhan. 2020. "Waste load allocation under uncertainty using game theory approach and simulation-optimization process." Journal of Hydroinformatics 22, no. 4: 815-841.

Journal article
Published: 23 May 2020 in Journal of Hydrology
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In recent years, uncertainties in climate change have made the allocation of waste load a severe challenge. This research develops a new model framework integrating a soil and water assessment tool (SWAT) for hydrological simulation of the river basin, Borg many-objective evolutionary algorithm (Borg MOEA) for optimization, and a software for many-objective robust decision making (OpenMORDM) to minimize these uncertainties and identifying the most robust waste load allocation plans resisting the impact of system uncertainties. This framework has been applied to the Golgol River basin, Iran, which is the main source of the Ilam dam water supply. In this study, first, temperature and precipitation were predicted in 2080–2099. Then, The SWAT model was used to simulate runoff and biochemical oxygen demand (BOD). Afterward, by specifying the objective functions, the Borg MOEA produced the most optimal waste load allocation scenarios in the driest month of the future (August), So that the amount of BOD in the dam reservoir remains less than 5 mg/L. In the next step, the robustness of the solutions analyzed using OpenMORDM. Then, the results were analyzed using the patient rule induction method (PRIM) and classification and regression tree (CART) methods to identify the system vulnerability domains and minimizing false positives. Through the analysis, four climate scenarios have been used to explain how the methodological selection of them affects the resulting candidate planning solutions. The results indicated that individual design selections from the water managers or researchers could influence the efficacy of the model framework, which in turn results in failure of the most robust waste-load allocation strategies under future climate change.

ACS Style

Rojin Meysami; Mohammad Hossein Niksokhan. Evaluating robustness of waste load allocation under climate change using multi-objective decision making. Journal of Hydrology 2020, 588, 125091 .

AMA Style

Rojin Meysami, Mohammad Hossein Niksokhan. Evaluating robustness of waste load allocation under climate change using multi-objective decision making. Journal of Hydrology. 2020; 588 ():125091.

Chicago/Turabian Style

Rojin Meysami; Mohammad Hossein Niksokhan. 2020. "Evaluating robustness of waste load allocation under climate change using multi-objective decision making." Journal of Hydrology 588, no. : 125091.

Research article
Published: 11 April 2020 in Environmental Science and Pollution Research
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The co-transport of pollutants with colloidal particles to lower depths of groundwater and porous environments has been demonstrated in many studies in recent three decades. Despite the numerous researches, all experimental and numerical studies of pollutant transfer in the presence of colloidal particles have been carried out in one dimension, which causes significant errors in this phenomenon. In this study, the two-dimensional transfer experiment of chromium in the presence of bentonite colloidal particles is done in saturated porous media. In order to conduct the experiment in two-dimensional conditions, the sampling was done in central and lateral of the last experiment column section. The results have been demonstrated that the transmission along the longitudinal direction is higher than lateral in the three tests of the transfer of chromium, bentonite, and chromium in the presence of bentonite colloidal particles at the beginning of the experiment, and due to completed mixing in the section, it reached to a constant value as lateral samples. While the presence of bentonite colloidal particles facilitates the transfer of chromium in both longitudinal and lateral directions, increasing the bentonite colloidal particle concentration causes more getting stuck of colloid particles between the sand grains and reduction of the chromium transfer in both longitudinal and lateral directions. So, it can be concluded that transfer in the lateral direction is lower in bentonite colloidal particles compared with chromium, and the reason is the bentonite colloidal particles getting stuck between sand grains, which is exacerbated by increasing the concentration of the bentonite. Also, due to the chromium co-transport with colloid particles in the fraction of chromium total transport, increasing the bentonite concentration causes decreasing the chromium lateral transfer.

ACS Style

Behzad Ghiasi; Mohammad Hossein Niksokhan; Ali Mahdavi Mazdeh. Effect of bentonite particles’ presence on two-dimensional chromium transmission. Environmental Science and Pollution Research 2020, 27, 21692 -21701.

AMA Style

Behzad Ghiasi, Mohammad Hossein Niksokhan, Ali Mahdavi Mazdeh. Effect of bentonite particles’ presence on two-dimensional chromium transmission. Environmental Science and Pollution Research. 2020; 27 (17):21692-21701.

Chicago/Turabian Style

Behzad Ghiasi; Mohammad Hossein Niksokhan; Ali Mahdavi Mazdeh. 2020. "Effect of bentonite particles’ presence on two-dimensional chromium transmission." Environmental Science and Pollution Research 27, no. 17: 21692-21701.

Journal article
Published: 13 January 2020 in Water Supply
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The main goal in this research is study of impacts of various likelihood functions on DREAM(zs) (Differential Evolution Adaptive Metropolis) method results in simulation-optimization model of aquifer. In this study, DREAM(zs) algorithm has been developed to study aquifer simulation-optimization model uncertainties. DREAM(zs) is used to investigate uncertainty of parameters of the simulation-optimization model in Isfahan-Barkhar aquifer, Isfehan province, Iran. This study is carried out on an aquifer simulation model of MODFLOW that is coupled with MOPSO (multi-objective particle swarm optimization) optimization. Three likelihood functions, L1, L2, and L3, are considered as informal and the remaining (L4 and L5) are represented as formal categories. Likelihood function L1 is Nash–Sutcliffe efficiency and L2 is based on minimum mean square error. L3 uses estimation of model error variance and L4 focuses on the relationship between the traditional least squares fitting and the Bayesian inference. In likelihood function L5 the serial dependence of residual errors is calculated using a first-order autoregressive model of the residuals. Results suggested that the parameters sensitivity depend on the likelihood function selection, and sensitivity of all parameters is not similar in different likelihood functions. MOPSO algorithm outputs indicated that likelihood function No. 5 has a higher speed in reaching convergence and this function also showed that objective functions had a better performance compared to the other likelihood functions.

ACS Style

Khadije Norouzi Khatiri; Mohammad Hossein Niksokhan; Amin Sarang. Choosing various likelihood functions on uncertainty assessment in groundwater simulation-optimization model. Water Supply 2020, 20, 737 -750.

AMA Style

Khadije Norouzi Khatiri, Mohammad Hossein Niksokhan, Amin Sarang. Choosing various likelihood functions on uncertainty assessment in groundwater simulation-optimization model. Water Supply. 2020; 20 (2):737-750.

Chicago/Turabian Style

Khadije Norouzi Khatiri; Mohammad Hossein Niksokhan; Amin Sarang. 2020. "Choosing various likelihood functions on uncertainty assessment in groundwater simulation-optimization model." Water Supply 20, no. 2: 737-750.

Journal article
Published: 15 November 2019 in Water Science and Technology
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Successful application of one-dimensional advection–dispersion models in rivers depends on the accuracy of the longitudinal dispersion coefficient (LDC). In this regards, this study aims to introduce an appropriate approach to estimate LDC in natural rivers that is based on a hybrid method of granular computing (GRC) and an artificial neural network (ANN) model (GRC-ANN). Also, adaptive neuro-fuzzy inference system (ANFIS) and ANN models were developed to investigate the accuracy of three credible artificial intelligence (AI) models and the performance of these models in different LDC values. By comparing with empirical models developed in other studies, the results revealed the superior performance of GRC-ANN for LDC estimation. The sensitivity analysis of the three intelligent models developed in this study was done to determine the sensitivity of each model to its input parameters, especially the most important ones. The sensitivity analysis results showed that the W/H parameter (W: channel width; H: flow depth) has the most significant impact on the output of all three models in this research.

ACS Style

Behzad Ghiasi; Hossein Sheikhian; Amin Zeynolabedin; Mohammad Hossein Niksokhan. Granular computing–neural network model for prediction of longitudinal dispersion coefficients in rivers. Water Science and Technology 2019, 80, 1880 -1892.

AMA Style

Behzad Ghiasi, Hossein Sheikhian, Amin Zeynolabedin, Mohammad Hossein Niksokhan. Granular computing–neural network model for prediction of longitudinal dispersion coefficients in rivers. Water Science and Technology. 2019; 80 (10):1880-1892.

Chicago/Turabian Style

Behzad Ghiasi; Hossein Sheikhian; Amin Zeynolabedin; Mohammad Hossein Niksokhan. 2019. "Granular computing–neural network model for prediction of longitudinal dispersion coefficients in rivers." Water Science and Technology 80, no. 10: 1880-1892.

Article
Published: 04 November 2019 in Ocean Dynamics
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Excessive usage of fossil fuels and high emission of greenhouse gases have increased the earth’s temperature and consequently have led to changes in wind and wave regimes. The main effects of climate change on oceans are warming of the ocean water, melting of ice, acidification of ocean water, and change in the ocean currents. The main effects of climate change on coastal regions are change in the coast hydrodynamics, sea level rise, change in wave height, coastal erosion, coastal structure damage, food shortage, and storms. Due to the importance of waves in the coastal zone and its effect on erosion and sedimentation, it is necessary to study wave changes. In this study, the effect of climate change on wave specifications was evaluated in the southern coast of the Caspian Sea in Noshahr Port. To simulate wave parameters, the third generation spectral Simulating WAves Nearshore (SWAN) model was used. Wave modeling was carried out using the SWAN numerical model for two 30-yearly periods, including the control period (1984 to 2014) and the future period (2051 to 2080). For wave modeling in the control period, the European Center for Average Weather Forecast wind field was used, and for the future period, a downscaled wind field from Coordinated Regional Downscaling Experiment projection, which was sponsored by World Climate Research Programme, based on the most recent emission scenarios RCP2.6, RCP4.5, and RCP8.5, was used. The model results were calibrated and verified with buoy-recorded data. The effect of the climate change on the wave parameters was evaluated by studying the differences between the patterns in three scenarios and the control period. Results showed that the 30-year maximum significant wave height will increase because of climate change, and the wave direction will not change. In addition, the intensity of storms will increase in the future.

ACS Style

Samaneh Lesani; Mohammad Hossein Niksokhan. Climate change impact on Caspian Sea wave conditions in the Noshahr Port. Ocean Dynamics 2019, 69, 1287 -1310.

AMA Style

Samaneh Lesani, Mohammad Hossein Niksokhan. Climate change impact on Caspian Sea wave conditions in the Noshahr Port. Ocean Dynamics. 2019; 69 (11-12):1287-1310.

Chicago/Turabian Style

Samaneh Lesani; Mohammad Hossein Niksokhan. 2019. "Climate change impact on Caspian Sea wave conditions in the Noshahr Port." Ocean Dynamics 69, no. 11-12: 1287-1310.

Journal article
Published: 10 July 2019 in Water
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The vast development of urban areas has resulted in the increase of stormwater peak runoff and volume. Water quality has also been adversely affected. The best management practices (BMPs) and low impact development (LID) techniques could be applied to urban areas to mitigate these effects. A quantity–quality model was developed to simulate LID practices at the catchment scale using the US Environmental Protection Agency Storm Water Management Model (US EPA SWMM). The purpose of the study was to investigate the impacts of LID techniques on hydrology and water quality. The study was performed in BUNUS catchment in Kuala Lumpur, Malaysia. This study applied vegetated swale and rain garden to assess the model performance at a catchment scale using real field data. The selected LIDs occupied 7% of each subcatchment (of which 40% was swale and 30% was rain garden). The LID removal efficiency was up to 40% and 62% for TN and TSS, respectively. The peak runoff reduction was up to 27% for the rainfall of up to 70 mm, and up to 19% for the rainfall of between 70 and 90 mm, respectively. For the longer storm events of higher than 90 mm the results were not as satisfactory as expected. The model was more effective in peak runoff reduction during the shorter rainfall events. As for the water quality, it was satisfactory in all selected rainfall scenarios.

ACS Style

Abdul Razaq Rezaei; Zubaidah Ismail; Mohammad Hossein Niksokhan; Muhammad Amin Dayarian; Abu Hanipah Ramli; Sharif Moniruzzaman Shirazi. A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale. Water 2019, 11, 1415 .

AMA Style

Abdul Razaq Rezaei, Zubaidah Ismail, Mohammad Hossein Niksokhan, Muhammad Amin Dayarian, Abu Hanipah Ramli, Sharif Moniruzzaman Shirazi. A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale. Water. 2019; 11 (7):1415.

Chicago/Turabian Style

Abdul Razaq Rezaei; Zubaidah Ismail; Mohammad Hossein Niksokhan; Muhammad Amin Dayarian; Abu Hanipah Ramli; Sharif Moniruzzaman Shirazi. 2019. "A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale." Water 11, no. 7: 1415.

Articles
Published: 12 March 2019 in Hydrological Sciences Journal
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Although the effectiveness of best management practices (BMPs) in reducing urban flooding is widely recognized, the improved sustainability achieved by implementing BMPs in upstream suburban areas, reducing downstream urban floods, is debated. This study introduces a new definition of urban drainage system (UDS) sustainability, focusing on BMP usage to enhance system performance after adaptation to climate change. Three types of hydraulic reliability index (HRI) plus robustness and improvability indices were used to quantify the potential enhanced sustainability of the system in a changing climate, together with a climate change adaptability index (CCAI). The sustainability of UDS for the safe conveyance of stormwater runoff is investigated under different land-use scenarios: No BMP, BMP in urban areas, and BMP inside and upstream of urban areas, considering climate change impacts. Rainfall–runoff simulation alongside drainage network modelling is conducted using a stormwater management model (US EPA SWMM) to determine the inundation areas for both baseline and future climatic conditions. A new method for disaggregating daily rainfall to hourly, proposed to provide a finer resolution of input rainfall to SWMM, was applied to a semi-urbanized catchment whose upstream runoff from mountainous areas may contribute to the stormwater runoff in downstream urban parts. Our findings confirm an increase in the number of inundation points and reduction in sustainability indices of UDS due to climate change. The results present an increase in UDS reliability from 4% to 16% and improvements in other sustainability indicators using BMPs in upstream suburban areas compared to implementing them in urban areas.

ACS Style

Negin Binesh; Mohammad Hossein Niksokhan; Amin Sarang; Wolfgang Rauch. Improving sustainability of urban drainage systems for climate change adaptation using best management practices: a case study of Tehran, Iran. Hydrological Sciences Journal 2019, 64, 381 -404.

AMA Style

Negin Binesh, Mohammad Hossein Niksokhan, Amin Sarang, Wolfgang Rauch. Improving sustainability of urban drainage systems for climate change adaptation using best management practices: a case study of Tehran, Iran. Hydrological Sciences Journal. 2019; 64 (4):381-404.

Chicago/Turabian Style

Negin Binesh; Mohammad Hossein Niksokhan; Amin Sarang; Wolfgang Rauch. 2019. "Improving sustainability of urban drainage systems for climate change adaptation using best management practices: a case study of Tehran, Iran." Hydrological Sciences Journal 64, no. 4: 381-404.

Articles
Published: 02 October 2018 in Civil Engineering and Environmental Systems
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Variations in quality or quantity of reservoir discharges and of wastewater treatment plants (WWTP) are typical sources of uncertainty in controlling and management of river water quality downstream. This study evaluates and discusses the impacts of these operation-based uncertainties on waste load allocation (WLA) policies, like water quality trading (WQT), by Monte-Carlo simulation. For this purpose, we chose the Sefidrud River in northern Iran and developed an economic-based WLA in this area through a simulation-optimisation approach. The river with 1150 reaches is simulated by coding in MATLAB and linked to a multi-objective particle swarm optimization (MOPSO) algorithm in which the two objectives are minimisation of environmental violations and abatement costs. For uncertainty analysis through Monte-Carlo simulation, river flow and kinetic rates, dissolved oxygen (DO) at headwater, pollution loads of dischargers, and temperature are considered as primary variables. Results show that the success of WLA is mostly reliant on the DO concentration of headwater, occurrence of seasonal floods, and river aeration rate. The implications of the findings are also analysed for WQT. In particular, the above uncertainties are highlighted as possible threats for the success of discharge permit markets because polluters could be penalised or rewarded for uncertainties regardless of their pollution discharges. Consequently, effective WQT under uncertainty is likely to lead to a need for more monitoring to resolve potential disputes from uncertainties.

ACS Style

Shervin Jamshidi; Mohammad Hossein Niksokhan; Mojtaba Ardestani; Somaye Imani. Operation-based uncertainties in river waste load allocation and their impacts on controlling discharges. Civil Engineering and Environmental Systems 2018, 35, 223 -240.

AMA Style

Shervin Jamshidi, Mohammad Hossein Niksokhan, Mojtaba Ardestani, Somaye Imani. Operation-based uncertainties in river waste load allocation and their impacts on controlling discharges. Civil Engineering and Environmental Systems. 2018; 35 (1-4):223-240.

Chicago/Turabian Style

Shervin Jamshidi; Mohammad Hossein Niksokhan; Mojtaba Ardestani; Somaye Imani. 2018. "Operation-based uncertainties in river waste load allocation and their impacts on controlling discharges." Civil Engineering and Environmental Systems 35, no. 1-4: 223-240.

Article
Published: 08 September 2018 in Environmental Monitoring and Assessment
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Urbanization and climate change are causing numerous side effects on groundwater resources. In this study, an integrated modeling approach by linking soil and water application tool (SWAT), modular finite difference groundwater flow (MODFLOW), and three-dimensional variable-density groundwater flow coupled with multi-species solute and heat transport (SEAWAT) models were used to exhibit responses of groundwater systems, in terms of flow and salt concentrations to current and future climatic and anthropogenic changes. Future climate scenarios for periods of 2010-2040 were generated from the Canadian Global Coupled Model (CGCM) for scenarios A1B, B1, and A2 which was downscaled by the Long Ashton Research Station weather generator (LARS-WG) providing precipitation and temperature patterns for the period 2018-2040. The GCM's outputs were applied to SWAT model to estimate recharge rate for the ten scenarios designed to assess the sensitivity of the aquifer to urbanization and climate change. The estimated recharge rate from SWAT was utilized as an input in numerical groundwater model to evaluate saltwater intrusion (SWI), changes in freshwater storage within the aquifer system, and changes in groundwater level. Based on the results of each scenario's simulation, increase of pumping rate yield by future population growth will have more adverse effects on the unconfined aquifer. The derived information from this study can be used to improve future works by developing a better understanding of the managed and unmanaged response of freshwater storage and unconfined groundwater systems to climate change and anthropogenic activities.

ACS Style

Shaghayegh Akbarpour; Mohammad Hossein Niksokhan. Investigating effects of climate change, urbanization, and sea level changes on groundwater resources in a coastal aquifer: an integrated assessment. Environmental Monitoring and Assessment 2018, 190, 579 .

AMA Style

Shaghayegh Akbarpour, Mohammad Hossein Niksokhan. Investigating effects of climate change, urbanization, and sea level changes on groundwater resources in a coastal aquifer: an integrated assessment. Environmental Monitoring and Assessment. 2018; 190 (10):579.

Chicago/Turabian Style

Shaghayegh Akbarpour; Mohammad Hossein Niksokhan. 2018. "Investigating effects of climate change, urbanization, and sea level changes on groundwater resources in a coastal aquifer: an integrated assessment." Environmental Monitoring and Assessment 190, no. 10: 579.

Journal article
Published: 01 May 2018 in Journal of Environmental Management
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Allocating water to organizational stakeholders poses a vital challenge to water managers. Organizations which benefit from water as the primary factor input attempt to achieve their objectives using cost-effective and quick-return strategies, such as increasing the water rights. In such circumstances, lack of water probably results in the conflict. Recognizing the management approaches, organizational priorities, and the stakeholders' influence power can play a dominant role in analyzing the future of such conflicts. In this paper, we analyzed the conflict of water allocation in Ilam dam among organizational stakeholders. We defined the strategies based on the background of the game and organizational objectives. The influence power of stakeholders and the numerical weights of strategies were quantified based on the expert judgment method. The relative priorities of strategies were then calculated for each state of the conflict. We used the GMCR+ model to study the actions of stakeholders. Results suggest that the Jihad Agriculture Organization and the Water and Wastewater Company withdraw more water; hence, there exists no water to meet the environmental water right. In this case, the participation of the third party, such as the Governorship and the Justice can change the future of the conflict, and result in moving to the optimal state. However, results from Inverse GMCR analysis demonstrate that Justice is the most influential third party that can move the conflict towards a desired equilibrium (optimal case).

ACS Style

Hossein Zanjanian; Hamid Abdolabadi; Mohammad Hossein Niksokhan; Amin Sarang. Influential third party on water right conflict: A Game Theory approach to achieve the desired equilibrium (case study: Ilam dam, Iran). Journal of Environmental Management 2018, 214, 283 -294.

AMA Style

Hossein Zanjanian, Hamid Abdolabadi, Mohammad Hossein Niksokhan, Amin Sarang. Influential third party on water right conflict: A Game Theory approach to achieve the desired equilibrium (case study: Ilam dam, Iran). Journal of Environmental Management. 2018; 214 ():283-294.

Chicago/Turabian Style

Hossein Zanjanian; Hamid Abdolabadi; Mohammad Hossein Niksokhan; Amin Sarang. 2018. "Influential third party on water right conflict: A Game Theory approach to achieve the desired equilibrium (case study: Ilam dam, Iran)." Journal of Environmental Management 214, no. : 283-294.

Journal article
Published: 01 February 2018 in Journal of African Earth Sciences
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Hossein Yousefi; Sina Zahedi; Mohammad Hossein Niksokhan. Modifying the analysis made by water quality index using multi-criteria decision making methods. Journal of African Earth Sciences 2018, 138, 309 -318.

AMA Style

Hossein Yousefi, Sina Zahedi, Mohammad Hossein Niksokhan. Modifying the analysis made by water quality index using multi-criteria decision making methods. Journal of African Earth Sciences. 2018; 138 ():309-318.

Chicago/Turabian Style

Hossein Yousefi; Sina Zahedi; Mohammad Hossein Niksokhan. 2018. "Modifying the analysis made by water quality index using multi-criteria decision making methods." Journal of African Earth Sciences 138, no. : 309-318.

Article
Published: 08 January 2018 in Irrigation and Drainage
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The effects of climate change and global warming have become increasingly evident in recent years. Changes in climate may impact water availability, water needs for agriculture and agricultural runoff. The Golgol River Basin has been investigated to examine the effect of climate change. HadCM3 model output under the A2 emission scenario during the two periods of 2046–2065 and 2080–2099 is used to predict temperature and precipitation amount under climate change impact, while the LARS-WG model is used for downscaling. SWAT was applied to simulate runoff, nitrate and organic nitrogen. The SWAT-CUP and SUFI-2 methods were used for calibration. Introducing downscaled results of AOGCM models into the hydrological model and assuming similar regional conditions including fertilizer and land use, the changes in runoff and pollutants in the future were also simulated. It was observed that during 2046–2065, the average monthly runoff, nitrate and organic nitrogen loads would decrease by 27, 18 and 13.5%. The 2080–2099 period when compared to the present shows that the average monthly runoff, nitrate and organic nitrogen loads would decrease by 45, 33 and 35%. So according to runoff quality degradation, management solutions must be found to reduce pollutants. Copyright © 2018 John Wiley & Sons, Ltd. Les effets du changement et du réchauffement climatiques sont de plus en plus évidents ces dernières années. L'un des principaux effets du changement climatique concerne l’agriculture et l'eau et nous en avons étudié les effets sur le bassin de la rivière Golgol. La production du modèle HadCM3 sous le scénario d’émission A2 pendant deux périodes 2046–2065 et 2080–2099 permet de prédire la température et la quantité de précipitations sous influence du changement climatique, tandis que le modèle LARS-WG est utilisé pour le changement d'échelle. SWAT a été appliqué pour simuler le ruissellement, le nitrate et l'azote organique. La méthode SWAT-CUP et SUFI2 ont été utilisés pour l’étalonnage. Les changements à venir dans les eaux de ruissellement et les polluants ont également été simulés en introduisant les résultats réduits des modèles AOGCM dans le modèle hydrologique et en supposant des conditions régionales similaires, y compris l'utilisation des engrais et l’utilisation des sols. On a observé qu'en 2046–2065, les charges moyennes mensuelles de ruissellement, de nitrate et d’azote organique diminueraient de 27, 18 et 13.5%. Pour la période 2080–2099 par rapport au présent, ces valeurs seraient respectivement 45, 33 et 35%. Pour prévenir les pertes économiques et agricoles et les préoccupations concernant la diminution de la qualité des ressources en eau, la gestion des eaux de ruissellement pourrait devenir nécessaire. Copyright © 2018 John Wiley & Sons, Ltd.

ACS Style

Bahman Moshtaghi; Mohammad Hossein Niksokhan; Fereydoun Ghazban; Sepehr Dalilsafaee. Assessing the Impacts of Climate Change on the Quantity and Quality of Agricultural Runoff (Case Study: Golgol River Basin). Irrigation and Drainage 2018, 67, 17 -28.

AMA Style

Bahman Moshtaghi, Mohammad Hossein Niksokhan, Fereydoun Ghazban, Sepehr Dalilsafaee. Assessing the Impacts of Climate Change on the Quantity and Quality of Agricultural Runoff (Case Study: Golgol River Basin). Irrigation and Drainage. 2018; 67 ():17-28.

Chicago/Turabian Style

Bahman Moshtaghi; Mohammad Hossein Niksokhan; Fereydoun Ghazban; Sepehr Dalilsafaee. 2018. "Assessing the Impacts of Climate Change on the Quantity and Quality of Agricultural Runoff (Case Study: Golgol River Basin)." Irrigation and Drainage 67, no. : 17-28.

Article
Published: 04 December 2017 in Irrigation and Drainage
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EnglishFrenchAbstractIn this study, a hydrodynamic model of water quality (CE-QUAL-W2) coupled with a hydrological model (SWAT) with emission scenarios predicted by general circulation models in the future were applied to examine the impact of climate change on the thermal structure of a reservoir. According to the results, the mean annual air temperature will increase from 1.47 to 1.80°C (B1) and from 2.00 to 2.11°C (A2). The average of the monthly precipitation total will also increase from 2.95 to 3.17 mm (A2) and from 5.32 to 9.67 mm (B1) in the future. The results of the hydrological model indicate river flow reduction (A2 scenario), no variation (ECHAM5-OM B1) and increase (HadCM3 B1) in the future. Also, the occurrence time of maximum and minimum monthly discharges are projected to change. To determine the importance of upstream watershed hydrology on thermal structure modelling, the simulation was carried out twice, once with and then without the SWAT model. By comparing the results, it was concluded that by applying the coupled model, the climate change impact on upstream hydrology characteristics and temperature effect both in the surface and bottom layers, altered duration of the stratification cycle and its onset and termination, could be simulated successfully. Copyright © 2017 John Wiley & Sons, Ltd.RÉSUMÉDans cette étude, un modèle hydrodynamique de qualité de l'eau (CE-QUAL-W2) couplé à un modèle hydrologique (SWAT) a été appliqué pour examiner l'impact du changement climatique sur la structure thermique d'un réservoir avec des scénarios d'émission prévus par les modèles de circulation générale dans la période future. Selon les résultats, la température annuelle moyenne de l'air passera de 1.47 à 1.80°C (B1) et de 2.00 à 2.11°C (A2). La moyenne du total mensuel des précipitations augmentera également de 2.95 à 3.17 mm (A2) et de 5.32 à 9.67 mm (B1) dans la période future. Les résultats du modèle hydrologique indiquent la réduction du débit de la rivière (scénario A2), pas de variation (ECHAM5-OM B1) et augmentent (HadCM3 B1) à l'avenir. En outre, le temps d'occurrence des débits mensuels maximaux et minimaux devrait être modifié. Pour déterminer l'importance de l'hydrologie des bassins hydrographiques en amont sur la modélisation de la structure thermique, la simulation a été effectuée deux fois, avec et sans le modèle SWAT. En comparant les résultats, on a conclu qu'en appliquant le modèle couplé, l'impact du changement climatique sur les caractéristiques d'hydrologie en amont, l'effet des températures à la fois dans les couches superficielle et inférieure et l'altération (durée, début, fin) du cycle de stratification pourraient être simulés avec succès. Copyright © 2017 John Wiley & Sons, Ltd.

ACS Style

Sepehr Dalilsafaee; Mohammad Hossein Niksokhan; Bahman Moshtaghi. Impact of Climate Change on Basin Hydrological Characteristics and Thermal Structure of Reservoirs. Irrigation and Drainage 2017, 67, 306 -322.

AMA Style

Sepehr Dalilsafaee, Mohammad Hossein Niksokhan, Bahman Moshtaghi. Impact of Climate Change on Basin Hydrological Characteristics and Thermal Structure of Reservoirs. Irrigation and Drainage. 2017; 67 (2):306-322.

Chicago/Turabian Style

Sepehr Dalilsafaee; Mohammad Hossein Niksokhan; Bahman Moshtaghi. 2017. "Impact of Climate Change on Basin Hydrological Characteristics and Thermal Structure of Reservoirs." Irrigation and Drainage 67, no. 2: 306-322.

Journal article
Published: 01 November 2017 in Ocean Engineering
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Amin Rahdarian; Mohammad Hossein Niksokhan. Numerical modeling of storm surge attenuation by mangroves in protected area of mangroves of Qheshm Island. Ocean Engineering 2017, 145, 304 -315.

AMA Style

Amin Rahdarian, Mohammad Hossein Niksokhan. Numerical modeling of storm surge attenuation by mangroves in protected area of mangroves of Qheshm Island. Ocean Engineering. 2017; 145 ():304-315.

Chicago/Turabian Style

Amin Rahdarian; Mohammad Hossein Niksokhan. 2017. "Numerical modeling of storm surge attenuation by mangroves in protected area of mangroves of Qheshm Island." Ocean Engineering 145, no. : 304-315.

Original
Published: 12 September 2017 in Heat and Mass Transfer
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In this study, coupled method for simulation of flow pattern based on computational methods for fluid dynamics with optimization technique using genetic algorithms is presented to determine the optimal location and number of sensors in an enclosed residential complex parking in Tehran. The main objective of this research is costs reduction and maximum coverage with regard to distribution of existing concentrations in different scenarios. In this study, considering all the different scenarios for simulation of pollution distribution using CFD simulations has been challenging due to extent of parking and number of cars available. To solve this problem, some scenarios have been selected based on random method. Then, maximum concentrations of scenarios are chosen for performing optimization. CFD simulation outputs are inserted as input in the optimization model using genetic algorithm. The obtained results stated optimal number and location of sensors.

ACS Style

Monireh Sadat Mousavi; Khosro Ashrafi; Majid Shafie Pour Motlagh; Mohhamad Hosein Niksokhan; Hamidreza Vosoughifar. Design of a correlated validated CFD and genetic algorithm model for optimized sensors placement for indoor air quality monitoring. Heat and Mass Transfer 2017, 54, 509 -521.

AMA Style

Monireh Sadat Mousavi, Khosro Ashrafi, Majid Shafie Pour Motlagh, Mohhamad Hosein Niksokhan, Hamidreza Vosoughifar. Design of a correlated validated CFD and genetic algorithm model for optimized sensors placement for indoor air quality monitoring. Heat and Mass Transfer. 2017; 54 (2):509-521.

Chicago/Turabian Style

Monireh Sadat Mousavi; Khosro Ashrafi; Majid Shafie Pour Motlagh; Mohhamad Hosein Niksokhan; Hamidreza Vosoughifar. 2017. "Design of a correlated validated CFD and genetic algorithm model for optimized sensors placement for indoor air quality monitoring." Heat and Mass Transfer 54, no. 2: 509-521.