
Seyed Mohammad AshrafiShahid Chamran University of Ahvaz | scu · Department of Civil Engineering (Ahvaz)
Seyed Mohammad Ashrafi
Ph.D. Water Resources Engineering
I am currently working on development of intelligent water resources management.
About
75
Publications
23,535
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Introduction
Experienced Associate Professor with a demonstrated history of working in the higher education industry. The inventor of Melody Search Algorithm, as an Improved version of Harmony Search Optimization Algorithm. Skilled in Water Resources Modeling, Soft Computing Techniques, Optimization Algorithms, Matlab Programming, Analytical Skills, Hydrology, and Environmental Engineering. The outstanding reviewer of some of high quality scientific journals.
Additional affiliations
September 2004 - February 2013
Publications
Publications (75)
Efficient and optimal management of urban water distribution networks needs to forecast the amount of short-term water demand for a day and night at hourly intervals. Water demand has a time series nature and a pattern with a complex structure, which is influenced by many factors. Deep neural networks (DNNs) can be suitable for extracting this patt...
Forecasting precipitation is a crucial input to hydrological models and hydrological event management. Accurate forecasts minimize the impact of extreme events on communities and infrastructure by providing timely and reliable information. In this study, six artificial intelligent hybrid models are developed to predict daily rainfall in urban areas...
Forecasting short-term water demands is one of the most critical needs of operating companies of urban water distribution networks. Water demands have a time series nature, and various factors affect their variations and patterns, which make it difficult to forecast. In this study, we first implemented a hybrid model of convolutional neural network...
Groundwater vulnerability maps are crucial for safeguarding groundwater quality. A research gap exists in using advanced data fusion techniques to identify areas subject to seawater intrusion. To address this gap, this research enhances the GALDIT method and applies diverse deep learning models, combined with machine learning techniques, to improve...
Floods are among the most widespread and devastating natural disasters, accounting for 47% of all weather-related events and affecting over 2.3 billion people, particularly in Asia. Assessing flood-prone areas is crucial for effective disaster risk reduction, but existing flood damage estimation methods, such as depth-damage functions, often lack r...
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...
Climate change has caused fundamental changes in the pattern of rainfall worldwide. Climate change can alter precipitation patterns, consequently intensifying the frequency and severity of flash floods in specific regions, including Iran. It is important for communities to be prepared for these events and to take steps to mitigate their impact. Ful...
Precipitation forecast, as the most critical input of hydrological models, is fundamental in managing hydrological events. In this research, four artificial intelligence models from the combination of the Ant Colony Optimization algorithm with three types of simulators: Feed-Forward Backpropagation Neural Network (FFBNN), Cascade-Forward Backpropag...
Efficient and optimal management of urban water distribution networks needs to forecast the amount of short term water demand for a day and night at hourly intervals. Water demand has a time series nature and a pattern with a complex structure, which is influenced by many factors. Deep neural networks (DNNs) can be suitable for extracting this patt...
کنترل کامل یا مدیریت خسارت سیل، همیشه از طریق اقدامات سازهای بدلیل محدودیتهای اقتصادی، تکنولوژیکی، محیطزیستی و اجتماعی عملی نمیباشد. بنابراین غالباً اقدامات غیرسازهای مانند پیشبینی و هشدار سیل جهت اتخاذ تصمیمات موثر و انتخاب راههای مناسب برای مقابله با سیلاب نقش مهمی را در کاهش تلفات بازی میکنند. اهمیت سیستمهای پیشرفته برای پیشبینی کوتاه...
Focusing on the importance of energy in the Energy, Water, and Food (EWF) nexus, this study develops a comprehensive energy simulation under the EWF nexus system approach (CESNeX). The simulation model employs an effective template for planning and decision-making in the nexus system. The CESNeX simulates the energy subsystem in both the demand and...
This paper presents a comprehensive review of optimization algorithms utilized in reservoir simulation-optimization models, specifically focusing on determining optimal rule curves. The study explores critical conditions essential for the optimization process, including inflow data, objective and smoothing functions, downstream water demand, initia...
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 paper reviews applications of optimization techniques connected with reservoir simulation models to search for optimal rule curves. The literature reporting the search for suitable reservoir rule curves is discussed and examined. The development of optimization techniques for searching processes are investigated by focusing on fitness function...
The aim of this research was to identify optimal choices in decision support systems for network reservoirs by using optimal rule curves under four scenarios related to water scarcity and overflow situations. These scenarios were normal water shortage, high water shortage, normal overflow and high overflow situations. The application of various opt...
This research aims to apply optimization techniques using atom search optimization (ASO), genetic programming (GP), and wind-driven optimization (WDO) with a reservoir simulation model for searching optimal rule curves of a multi-reservoir system, using the objective function with the minimum average quantity of release excess water. The multi-rese...
Formulation of sustainable development plans in the water sector requires reliable estimates of future hydrological conditions. The general circulation models (GCM) are usually used in the prediction of runoff in future periods but the predictions have large uncertainty. This study aimed to propose an approach for reducing the uncertainty of the re...
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...
Shannon’s entropy theory measures the average uncertainty in the outcomes of an event. Since drought monitoring is an important issue, it is imperative to develop more user-friendly, modern methods for it. The present study investigates the uncertainty of the difference between monthly mean precipitation and potential evapotranspiration utilizing S...
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...
This article proposes a methodology to accurately monitor seawater intrusion (SWI) using time-varied GALDIT vulnerability maps. The properly produced samples are then used as input–output patterns for the approximate SWI simulation. As a novelty, the specific area of high susceptibility to SWI is proposed as the dynamic saltwater wedge position to...
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...
Hedging policy is an applicable strategy for water resources systems with storage reservoirs to reduce the damage resulting from extended droughts. Optimizing the operation of parallel and cascade multireservoir systems is a challenging task because of its many complexities. This study proposes a two-stage approach for reaching both operating rule...
Having systematic simulation and optimization models with high computational accuracy is one of the most important problems in developing decision support systems. In the present research, a specific methodology was proposed for decentralized calibration of complex water resources system models by using the structural capabilities of the melody sea...
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...
Hedging policy is an applicable strategy for water resources systems with storage reservoirs to reduce the damage resulting from extended droughts. Optimizing the operation of parallel and cascade multi-reservoir systems is a challenging task because of its many complexities. This study attempts to propose a two-stage approach for reaching both ope...
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...
A realistic understanding of aquifer vulnerability to seawater intrusion is one of the important prerequisites for coastal aquifer management. The GALDIT method is a proper tool that, despite considering the qualitative, hydrogeological, and geological characteristics of the aquifer, has not considered the role of aquifer surface recharge. The Qom-...
In this study, a box encoding scheme is implemented within a novel Pareto-based Self-Adaptive Melody Search algorithm (PSaMeS), proposed to solve a multi-objective supply chain optimization problem. To evaluate various development strategies of a production company, two objectives including net benefit maximization and delivery time minimization ar...
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...
This project aims to develop a semi-intelligent framework for facilitating decision making processes in the field of water resources management in Great Karun downstream of Gotvand and Dez reservoirs. Great Karun is one of the most important basins In IRAN that has to serve main purposes including public and environmental water supply, irrigation,...
The leak detection parameters in the inverse transient analysis (ITA) are obtained in an inverse approach by solving a nonlinear programming problem using metaheuristic algorithms such as the genetic algorithm (GA). Despite its high capability in deriving the leak detection parameters, the ITA method is computationally complex and costly as it uses...
The "concept of productivity" in the context of WEN (water-energy nexus) is a new outlook to evaluate dam and power plant operation policies. Understanding and modeling the complicated nature of water-energy nexus (WEN) are essential to increase productivity. The performance of dams and hydropower plants is mostly evaluated by the amount of energy...
The inverse transient analysis (ITA) is a well-known leak detection method for pressurized piping systems. In this method, unknown parameters of the number, location, and size of leakages are obtained through solving a nonlinear programming problem using an optimization technique. Both transient analysis and optimization are time consuming and make...
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...
Hydrological drought plays an important role in planning and managing water resources systems to meet increasing water demands due to population growth. In this study, the effects of climate change on the hydrological drought characteristics of the Gharasu basin, as one of the major sub-basins of the Karkheh river basin, are investigated. This rive...
The inverse transient analysis (ITA) method is amongst the successful leak detection methods in water distribution networks. However, determining the unknown leakage parameters such as number, location, and area of leakages is computationally time-consuming and costly due to applying metaheuristic algorithms, like the genetic algorithm (GA). This s...
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...
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 prediction of the intrusion of saline water into coastal aquifers as a result of
changing the amount of groundwater extractions is a prerequisite for managing
groundwater. This study investigates the capability of different types of Support Vector
Regression (SVR) models to predict salinity concentrations at the selected well in the
small coast...
This article explains the time-series data for sensitivity of water-energy nexus to Dez Dam operation located at Dez basin in the southeast of Iran for a period of 54 years (648 months) from October 1964 to September 2018. The utilized data included outflow of the turbine, reservoir inflow, reservoir volume, evaporation, precipitation, spillway, to...
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...
This study aims to investigate the different management policies of multi-reservoir systems and their impact on the demand supply and hydropower generation in Great Karun River basin. For this purpose, the semi-distributed simulation-optimization model of the Great Karun River basin is developed. Also, the multi-objective particle swarm optimizatio...
In this study, water resources system of Great Karun watershed is modelled as a semi-distributed system considering the diversity of demand sites downstream of Olya Gotvand and Dez reservoirs in southwest of Iran. The main aim of the present study is to develop a basin's decision-support system to assist decision-makers in examining the impacts of...
In the present study, the climatic and hydrological variables are simulated for Gharesu watershed under the RCP4.5 scenario in three time scales including; near (P1), medium (P2) and far (P3) future periods. To perform an accurate simulation, the superior models are chosen comparing 34 (CMIP5) AOGCM models. The achieved results indicate that the va...
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...
در این پژوهش، از 9 مـدل جفـت شـده اقيـانوس اتمسفر گردش عمـومي جـو AOGCM، به منظور شبیه سازی رواناب در زیرحوضه ی قره سو واقع در شمال غربی حوضه ی آبریزکرخه استفاده شد. برای این منظور ابتدا داده های متغیر دما و بارش مربوط به هر یک از مدلهای گردش عمومی جو در دوره پایه(1981-2005)، از روشBCSD ریز مقیاس شدند و قدرت تفکیک مکانی تمامی مدلها به °0.5 یکسان سا...
Due to the complexity of multi-reservoir system operation problems, researchers usually prefer to assume lumped demands located downstream of such systems. Consequently, distributed local demands through the system are neglected or supplied completely (e.g. using Standard operating policy, SOP), in order to simplify the problem. In this study, Coup...
Operation of multi-reservoir systems is known as complicated and often large-scale optimization problems. The problems, because of broad search space, nonlinear relationships, correlation of several variables, as well as problem uncertainty, are difficult requiring powerful algorithms with specific capabilities to be solved. In the present study a...
A Matlab code based on AIP-MeS form of Melody Search algorithm is implemented to solve unconstrained optimization problems. Three sample objective functions including: Sphere, Rastrigin and Griewank functions are developed to test the source code. This source code can be applied to solve other unconstrained problems directly. For constrained proble...
Melody Search optimization algorithm is implemented to solve unconstrained single objective optimization problem. for instance, three well-known optimization problems including (Sphere, Rastrigin and Griewank) are incorporated within the package.
In order to measure precipitation as the main variable for estimating the runoff and designing hydraulic structures, the satellite algorithm products that have the proper spatial and temporal coverage, can be used. In this study, at first, the daily streamflow simulation of Sarough-Cahy River from the Zarinehroud basin was conducted through the art...
توسعه روشهای برآورد آبدهی جریان در مقیاس زمانی روزانه، با توجه به کمبود ایستگاه های هیدرومتری در بیشتر حوضه های آبریز کشور، از موارد ضروری است که به بهبود اطلاعات مورد نیاز برای اهداف مدیریتی مرتبط با منابع آب منجر می گردد. جهت اندازه گیری بارش به عنوان متغیر اصلی در برآورد رواناب، می توان از محصولات الگوریتم های ماهواره ای که دارای پوشش زمانی و مک...
An efficient adaptive version of Melody Search algorithm (EAMS) is introduced in this study, which is a powerful tool to solve optimization problems in continuous domains. Melody search (MS) algorithm is a recent newly improved version of harmony search (HS), while the algorithm performance strongly depends on fine-tuning of its parameters. Althoug...
A simple code based on the basic form of Harmony Search algorithm is implemented to solve unconstrained optimization problems. Three sample objective functions including: Sphere, Rastrigin and Griewank functions are developed to test the source code. This source code can be applied to solve other unconstrained problems directly. For constrained pro...
An efficient adaptive version of Melody Search algorithm (EAMS) is introduced in this study, which is a powerful tool to solve optimization problems in continuous domains. Melody search (MS) algorithm is a recent newly improved version of harmony search (HS), while the algorithm performance strongly depends on fine-tuning of its parameters. Althoug...
Achieving appropriate policies to operate multi-reservoir systems is a more complicated process involving many variables, constraints, linear and non-linear relations and high degree of uncertainty. Hence, high performance and more effective optimization algorithms are required to optimize operating policies. An efficient adaptive melody search alg...
The derivation of water resources systems operational policies has historically relied on assuming stationary hydrologic conditions. In this approach, the past hydrologic conditions are assumed to be sufficient to guide the future operation of water resources systems. According to the recent knowledge of climate change, developing new approaches to...
Melody Search (MS) Algorithm as an innovative improved version of Harmony Search optimization method, with a novel Alternative Improvisation Procedure (AIP) is presented in this paper. MS algorithm mimics performance processes of the group improvisation for finding the best succession of pitches within a melody. Utilizing different player memories...
In order to enhance the efficiency of Melody Search (MS) algorithm, a novel improvisation scheme named Triple Alternative Improvisation Procedure (TAIP) is introduced and applied in this study. Melody Search is a recently new improved version of harmony search (HS) algorithm used to solve numerical optimization problems. The proposed algorithm (TAI...
This paper presents a simulation-optimization framework for finding non-inferior solutions of multi-objective reservoir problem. In this study the multi-objective optimization problem is converted into a simulation-optimization Iterative problem. The proposed model involves two procedures, an optimization model and a flood simulation model. The 4th...
This paper introduces Melody Search Algorithm which is an innovative optimization algorithm, inspired by basic concepts applied in Harmony Search algorithm. The new algorithm mimics performance processes of the group improvisation for finding the best succession of pitches in a melody. Utilizing different player memories and their interactive proce...
Regarding enormous cost of construction of water resources reservoirs, operation of such systems is a challenging issue that needs to be optimized as well as possible. Meanwhile, considering various objectives within a proper optimization model is necessary to enhance the system benefit. In this study, a novel approach to optimize water reservoirs...