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Publications (103)
The objective of this research is to determine the meteorological drought index and the effective rainfall model that exhibit the highest correlation with the yield of rainfed wheat in the Karkheh watershed. Additionally, using spatial statistics analysis, the trend and status of drought in various parts of the watershed will be identified. This wi...
In recent years, deep learning (DL) methods, such as recurrent neural networks (RNN). have been used for streamflow prediction. In this study, the monthly inflow into the Dez Dam reservoir from 1955 to 2018 in southwestern Iran was simulated using various types of RNNs, including long short-term memory (LSTM), bidirectional long short-term memory (...
The objective of this research is determining areas that have experienced the most severe annual droughts in Khuzestan, southwest Iran during a 34-year period (1982–2016). For this purpose, the SPI12 index was used to identify the most severe occurred annual droughts. Inverse distance weighting (IDW) interpolation method was used to interpolate the...
The main goal of this study is to enhance the precision and reliability of monthly runoff forecasts within the complex Navrood watershed, situated in northern Iran. The innovative use of a waveform matching algorithm is a defining feature of this study. This approach is vital in optimizing the selection of the mother wavelet, which is a critical co...
Predicting the onset of the El Niño Southern Oscillation (ENSO) in the current rapidly changing climate could help save thousands of lives annually. Since the variability of this phenomenon is increasing, its prediction is becoming more challenging in the post-2000 era. Hence, we present a novel Multimodal ENSO Forecast (MEF) method for predicting...
In recent years, greenhouse gas emissions have caused extensive changes in the global climate. Climate change leads to extreme events, such as droughts. The present study investigates precipitation and temperature variations and the past and future drought characteristics in Iran through data from 40 synoptic stations and 33 general circulation mod...
Flow prediction is regarded as a major computational process in strategic water resources planning. Prediction's lead time has an inverse relationship with results' accuracy and certainty. This research studies the impact of climate-atmospheric indices on surface runoff predictions with a long lead time. To this end, the correlation of 36 long-dist...
This study investigates the effect of climate change on the runoff and electrical conductivity (EC) of the Marun watershed. It used 35 general circulation models (GCMs) and the identification of unit hydrographs and component flows from rainfall, evaporation and streamflow data (IHACRES) rainfall-runoff model for the hydrological simulation. Moreov...
This study applies three methods, Gene Expression Programming (GEP), M5 tree (M5T) model and optimized Artificial Neural Network by Genetic Algorithm (ANN-GA) for estimation of reference evapotranspiration in Ahvaz and Dezful in the southwest of Iran. Comparison between results of the FAO Penman - Monteith (FPM) method and the mentioned three metho...
Investigation of flow patterns around spur dikes is vitally important to better understand the scour phenomenon around them in open channels and the eventual failure prevention. It is important to calculate the Reynolds shear stress around spur dikes in channels with rigid bed as it is considered one of the most important parameters involved in sha...
The dam reservoir can change hydrological and groundwater conditions. This affects the drought characteristics downstream of the dams. For studying of these effects, this study used three types of drought indices; Standardized Precipitation Index (SPI), Streamflow Drought Index (SDI) and Groundwater Resource Index (GRI). The results showed that due...
Accurate estimation of water quality parameters can help managers who provide high-quality water in arid and semi-arid regions. The considered case study is the Pol-e-Astaneh station in north of Iran. The used data are monthly water quality data during 1971 to 2015. The used methods are Multi-Layer Perceptron (MLP), Radial Basis Function (RBF), Ada...
The conventional discrete hedging model is connected to a drought early warning system (DEWS) and a new concept called effective warning storage (ES). To prepare the desired model, an optimization model (genetic algorithm method) is connected to a simulation model to simultaneously search for threshold values (rule curves) and rationing coefficient...
This study evaluated the outputs of five precipitation (PCP) datasets. These models are ECMWF reanalysis 5th generation (ERA5), precipitation estimation from remotely sensed information using artificial neural networks-climate data record (PERSIANN-CDR), Asian precipitation-highly resolved observational data integration toward evaluation (APHRODITE...
Climate change (CC) will increase the intensity of extreme phenomena such as drought and flood in arid and semi-arid regions. This will cause the water supply of these areas to become very difficult in times of crisis. This study identifies sub-basins with high flood potential in the baseline period (1982–2005) and the future period (2025–2048) in...
Doroodzan dam (Shiraz, Iran) is located in a hot and dry geographical region, and therefore, the effect of climate change on precipitation, temperature, and runoff parameters was studied in the present paper. For that, in the first step, the CanESM2 weather model under the newly RCP2.6, RCP4.5, and RCP8.5 scenarios and microscopic atmospheric model...
This paper investigates the effects of climate change on the hydrological and meteorological parameters of the Navrood Watershed (a Caspian Hyrcanian forest watershed) in the north of Iran. Outputs of seven CMIP6 GCMs (Tmin, Tmax, and precipitation) under two scenarios, SSP2-4.5 and SSP5-8.5, were utilized. This study considered the historical peri...
This paper investigates the climate change effects on the hydrological and meteorological parameters of the Navrood Basin (a Caspian Hyrcanian forest watershed) in the north of Iran. Outputs of seven CMIP6 GCMs (Tmin, Tmax, and precipitation) under two scenarios, SSP2-4.5 and SSP5-8.5, were utilized. This study considered the historical period (199...
Long-term changes in reservoir inflow due to climate changes and human interference violate the assumptions of hydrologic stationarity especially in the reservoir design. Utilization of uncertain prediction into a reservoir operating rule curves somehow reflects the challenges that imposed by nonstationary conditions. This study proposes a hedging...
The main aims of this study are (a) evaluating effects of discrete wavelet transforms (DWTs) on the machine learning (ML) models, (b) evaluating ability of two types of ML models (regression and classification models) for estimating daily-suspended sediment load (SSL), and (c) selecting the best ML model or hybrid ML model with DWT by new methods s...
The aim of this study is to select the best model (combination of different lag times) for predicting the standardized precipitation index (SPI) and the standardized precipitation and evapotranspiration index (SPEI) in next time. Monthly precipitation and temperature data from 1960 to 2019 were used. In temperate climates, such as the north of Iran...
The construction of the Karkheh Dam is an important factor contributing to the occurrence of dust storms in the Khuzestan Province of Iran. It has reduced the annual mean flow discharge in the Karkheh River from 120 to 50 m3/s and dried land around the river. The area of dried land is 90.17 km2 around the river and 333.45 km2 in the Hawr-al-Azim we...
Today, variable flow pattern, which uses static rule curves, is considered one of the challenges of reservoir operation. One way to overcome this problem is to develop forecast-based rule curves. However, managers must have an estimate of the influence of forecast accuracy on operation performance due to the intrinsic limitations of forecast models...
This study evaluates the impact of climate change (CC) on runoff and hydrological drought trends in the Hablehroud river basin in central Iran. We used a daily time series of minimum temperature (Tmin), maximum temperature (Tmax), and precipitation (PCP) for the baseline period (1982–2005) analysis. For future projections, we used the output of 23...
Today, streamflow prediction is considered as one of the basic components of water resources systems. This is important as climate change and human activities could affect hydrological processes which lead to major changes in water distribution. According to the fifth IPCC report, frequent use of greenhouse gases could indirectly change the natural...
All dear professors, students and other scholars in the field of water science and engineering are cordially informed that the Journal of Hydraulic Structures (JHS), as one of the leading Iranian English-language journals dedicated to the field of water science and engineering, has been launched with the cooperation and support of the Iranian Hydra...
All dear professors, students and other scholars in the field of water science and engineering are cordially informed that the Journal of Hydraulic Structures (JHS), as one of the leading Iranian English-language journals dedicated to the field of water science and engineering, has been launched with the cooperation and support of the Iranian Hydra...
This study demonstrates the application of wavelet transform comprising discrete wavelet transform, maximum overlap discrete wavelet transform (MODWT), and multiresolution-based MODWT (MODWT-MRA), as well as wavelet packet transform (WP), coupled with artificial intelligence (AI)-based models including multi-layer perceptron, radial basis function,...
In this study, a novel algorithm is presented to combine different wavelet transform (WT) approaches comprising discrete wavelet transform (DWT), maximal overlap discrete wavelet transform (MODWT), and multiresolution-based MODWT (MODWT-MRA) along with autoregressive integrated moving average (ARIMA), and artificial intelligence (AI) models for one...
One of the important factors which control the possible cracking zone in earth dams is the geometry of valley cross section. This research uses genetic express programming (GEP) for finding the best equations for the relationship between the width and depth of possible cracking zone and geometric parameters of valley cross section, such as the inve...
Use of general circulation models (GCMs) is common for forecasting of hydrometric and meteorological parameters, but the uncertainty of these models is high. This study developed a new approach for calculation of suspended sediment load (SSL) using historical flow discharge data and SSL data of the Idanak hydrometric station on the Marun River (in...
The forecasting of tide or ebb elevation is a conventional issue. However, prediction of different components of tidal cycle in tidal rivers is a new aspect in geology and river engineering. For this purpose, this study utilizes the Gene Expression Programming (GEP) method in the Khosro-Abad, Khorramshahr, and Arvand Rood tidal stations (from 2001...
Today, streamflow prediction is considered as one of the basic components of water resources systems. This is important as climate change and human activities could affect hydrological processes which lead to major changes in water distribution. According to the fifth IPCC report, frequent use of greenhouse gases could indirectly change the natural...
The observed radar reflectivity (Z) converts to rainfall intensity (R) by a transfer function. In the first stage, for calibration of collected data (with time step 15 minutes) by weather radar and determination of the best relation between Z and R, it applied a genetic algorithm (GA) to minimize the amount of root mean square error (RMSE). Althoug...
In recent years, the climatic change and global warming have affected on meteorological and hydrologic conditions in dry and warm regions. The severity of occurred droughts has increased in these regions. This research monitors 3- , 6- , 9- and 12-month hydrologic drought severity in the Khuzestan Province, with 51 hydrometric stations, based on dr...
This research uses the multi-layer perceptron–artificial neural network (MLP-ANN), radial basis function–ANN (RBF-ANN), least square support vector machine (LSSVM), adaptive neuro-fuzzy inference system (ANFIS), M5 model tree (M5T), gene expression programming (GEP), genetic programming (GP) and Bayesian network (BN) with five types of mother wavel...
Unlike calculation of scour depth around of a single pier, estimation of scour depth around group piers is a complex problem. In this research, four types of artificial neural networks (ANNs) were applied multi layer perceptron (MLP), radial basis function (RBF), neuro fuzzy inference system (ANFIS), and support vector machine (SVM). The inputs of...
This research evaluates effects of climatic change on future temperature, precipitation and flow discharge in the Karkheh watershed (a watershed in south west of Iran). For this purpose, it utilizes General Circulation Models (GCMs) and the non parametric Mann-Kendall (MK) trend test. Considered hydrometric station is the Jelogir station at the ups...
The high degree of nonlinearity in the analysis of hydrologic systems demonstrates that artificial neural networks are suitable methods for this purpose. Artificial neural networks and passive microwave imagery have been combined for monitoring snow parameters, particularly in arid and semi-arid areas where the hydrologic process of the water basin...
In order to provide more accurate reservoir operating policies, this study attempts to implement effective monthly forecasting models. Seven inflow forecasting schemes, applying discrete wavelet transformation and artificial neural networks are proposed and provided to forecast the monthly inflow of Dez Reservoir. Based on some different performanc...
The recent drastic decrease in the surface water resources quality has limited water resources managers in Great Karun river basin, southwest of Iran. In this research, the effects of water quality on the satisfaction of different demand sits in Great Karun river basin is modeled and studied by dint of systemic analysis principles based on the actu...
In tidal rivers design return period is multiplication of return periods of floods and tidal flows. This research considers the down stream of the Karun River in southwest of Iran as case study. For calibration of Fluvial-12 model, the deformations of river cross sections from 1996 to 2013 were measured by surveying. Using of the Ackers – White (19...
Drought analysis has gained great importance owning to recent global warming and climate change. Because of the importance of the Khuzestan province in agriculture and economy of Iran, a semi-arid country, this research evaluates its meteorological drought severity. The data from 40 meteorological stations in the period of 1954 to 2016 were collect...
In watersheds that have not sufficient meteorological and hydrometric data for simulating rainfall-runoff events, using geomorphologic and geomorphoclimatic characteristics of watershed is a conventional method for the simulation. A number of rainfall-runoff models utilize these characteristics such as Nash-IUH, Clark-IUH, Geomorphologic Instantane...
In this research, a combined method was developed to determine the erodibility of bends in the Karkheh River. For this purpose, a 40 km reach of the Karkheh River downstream of the Karkheh Dam was considered. The value of the shear stress was the calculated using the CCHE2D model. The results from the model show that in 1996 (before construction of...
كیفیت منابع آب بر اثر عوامل طبیعی و انسانی در هر منطقه دچار تغییر می شود كه این تغییرات عمدتاً بهره برداری از منابع آب را محدود می كنند. مشكلات افزایش آلودگی آب در بسیاری از رودخانه ها، تصمیم گیرندگان را مجبور به ادغام مدیریت كیفیت آب با تصمیم گیری های تخصیص آب كرده است. برآورد و پیش بینی پارامترهای کمی و کیفی آب در طول رودخانه به منظور تصمیم گیری...
This research utilizes DrinC software and some codes developed in MATLAB software for calculating the drought indices and determination of trend of climatologic and hydrologic time series data using different nonparametric Mann–Kendall trend tests. The time series data used in this research include the minimum, mean and maximum monthly temperatures...
Access to sufficient and confident hydrometric data is necessary for water resources management. Most of the Iran’s hydrometric stations do not have sufficient data. The method of producing synthetic data should use probability concepts and retains main characteristics of the data, too. In this research, synthetic hydrometric data are generated by...
The Inverse Transient Analysis (ITA) is a well known method for leakage detection and calibration of pipe networks. To reduce the problem dimensionality as well as to allocate candidate leakages everywhere in the network and to handle the simulation and measurement uncertainties, it is assumed that a leakage has a quasi-normal distribution around i...
Space-borne passive microwave (PM) radiometers have provided an opportunity to estimate Snow water equivalent (SWE) and Snow depth (SD) at both regional and global scales. This study attempts to employ empirical algorithms and multivariate regressions (MRs) using Special Sensor Microwave Imager (SSM/I) brightness temperature (TB) in order to achiev...
In this research, two equations are considered as examples of hyperbolic and elliptic equations. In addition, two finite element methods are applied for solving of these equations. The purpose of this research is the selection of suitable method for solving each of two equations. Burgers’ equation is a hyperbolic equation. This equation is a pure a...
Due to increase in population and occurrence of extreme droughts in recent years, correct management and planning of water resources are essential and considered vital needs in the Middle East countries. Optimal water release from reservoirs is part of water resource management. For optimization of water release from reservoirs, different methods c...
In recent years, extreme droughts have occurred in the Middle East. In order to produce forecasts which ascertain the possibility of continuing drought, consideration of climatic and hydrometric data is necessary. This article presents a case study of three hydrometric stations – Telezang, Tang 5 Bakteari and Sepeed Dasht Sezar – upstream of the De...
In this research, the main hydrological characteristics (such as trend, stationarity, and normalization of hydrological data) of the Kasilian watershed are considered from 1970 to 2009. For forecasting of discharge, gene expression programming (GEP) method is applied. Normality and stationarity of time series are necessary for application of GEP me...
The establishment of stability in rivers is dependent on a variety of factors, and yet the established stability can be interrupted at any moment or time. One factor that can strongly disrupt the stability of rivers is the construction of dams. For this study, the identification and evaluation of morphological changes occurring to the Karkheh River...
Fluvial flows in the upstream of tidal rivers and tidal surges in the downstream of them are governing factors in tidal rivers. Hydraulic routing is a very difficult problem in tidal rivers. In this research, three methods are developed for determination of water surface elevation in tidal rivers. Results of these methods are compared to results of...
Unfortunately in developing countries, human activities without attention to the environmental aspects damage to nature. For example, construction of large dams dries wetlands in southwest of Iran. Also, construction of dams is a very important factor for morphological changes. The case study of this research is downstream of the Karkheh dam. This...
The reservoir hedging rule curves are used to avoid severe water shortage during drought periods. In this method reservoir storage is divided into several zones, wherein the rationing factors are changed immediately when water storage level moves from one zone to another. In the present study, a hedging rule with fuzzy rationing factors was applied...
Development of cities, destruction of forests and pastures, population growth and other factors have increased suspended sediment load in rivers of developing countries. Measurement of suspended sediment load is a challenging issue for engineers at flood conditions. The case study of this research is Idenak hydrometric station on the Marun River in...
In this research, a bend channel with a 180 degree central angle (curvature radius to channel width equal to 2) was designed and built in the hydraulic laboratory of Persian Gulf University in order to help better understand
complicated flow pattern in a sharp bend. Vectrino velocimeter was employed to measure velocity components and determine bed...
To deal with severe drought when water supply is insufficient hedging rule, based on hedging rule curve, is proposed. In general, in discrete hedging rules, the rationing factors have changed from a zone to another zone at once. Accordingly, this paper is an attempt to improve the conventional hedging rule to control the changes of rationing factor...
Interaction of fluvial and tidal flows is a complex phenomenon in tidal rivers study. For determination of tidal characteristics in tidal rivers, an appropriate method is needed. Artificial neural network (ANN) using genetic algorithm (GA) method for determining the parameters is a suitable tool that can determine tide velocity, ebb velocity and va...
In the conventional zone-based hedging rule, as a common approach, the rationing factors are changed from one zone to another at once, which is not proper for actual reservoir operation. Hence a fuzzy-rule-based approach is employed to create a transition zone to assign rationing factors. This remedy causes gradual variation in the rationing factor...
This paper present a multi-objective evolutionary algorithm base on decomposition for the optimizing operating rules of a complex multipurpose multi-reservoir system.
In this research, a perceptron artificial neural network is trained and validated by a number of observed data. Inputs of artificial neural network (ANN) are distance from upstream, discharge of freshwater at upstream and tidal height at downstream and its output is salinity concentration. Because of shortage of observed data especially in extreme...
This paper presents a Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) for the optimal operation of a complex multipurpose and multi-reservoir system. Firstly, MOEA/D decomposes a multi-objective optimization problem into a number of scalar optimization sub-problems and optimizes them simultaneously. It uses information of its...
This paper introduces an improved bat algorithm (IBA) with a hybrid mutation strategy to improve its global search ability. In an effort to guide the evolution and reinforce the convergence efficiently, the spatial characteristics of the social and cognitive experience of each bat in the population with the differential evolution (DE) algorithm wer...
Streamflow forecasting is an important issue in water resource management, as it determines some hydrological events. In recent decades, use of satellite images in water resources research has been considerably increased. In this research, obtained snow covered area by satellite images are used for a long-term seasonal streamflow forecasting model....
In this paper presented the evaluation of particle swarm optimization for solving complex optimization water resources problems. The main problem with PSO is it’s prematurity. Therefore a new adjustable PSO-GA hybrid algorithm which combines PSO with genetic operators was proposed. The basis behind this is that such a hybrid approach is expected to...
In the conventional methods of flood frequency analysis, the flood peak variable is just considered and
assumed that this variable follows some specific parametric distribution function. This assumption would
restrict us and lead us to the limited available information to evaluate the flood risk. It is well known that a
flood event has three variab...
Because of the interaction between tidal and fluvial flows in tidal rivers, sampling and measurement of suspended sediment concentration is very complex. Determination of suspended sediment concentration in tidal rivers is a very important problem in some countries such as Canada and United Kingdom (UK) (for example Bay of Fundy in Canada and Brist...
Collection, maintenance and optimized distribution of water is one of the most important and costly projects of water industry in Iran. The selection of the optimized choice among various methods of the construction of the dam body is economical and reduces the construction costs considerably. In recent decades, by the advancement of road construct...