Sharif Digital Repository

Since physical variables are almost dependent, uncertain and have significant time and spatial changes, nature of hydrological and environmental systems is so complicated, nonlinear and dynamic. Many models have been developed for studying and analyzing various phenomena in these systems. Recently data mining approaches have been used as new methods for modeling of complicated engineering systems. In this study, performance of several data mining tools in analyzing two phenomena in water quality management have been evaluated. These algorithms are Multilayer Perceptron Neural Network (MLP), Radial Basis Function Neural Network (RBFN), Support Vector Machines (SVMs) in the field of Artificial... 

Due to water resources restriction and increase in water demand, optimum use of existing available resources is more essential. This needs accurate prediction of streamflow with lag time from one to several months. In recent decades identification of long term climate variables as predictors of hydrological process has made considerable evolution in climatic predictions and several studies have been made in this field. In this research streamflow volume of Dez Dam in dry season (April to August) has been predicted by using multiple regression models and considering seasonal rainfall data, climate indices and ocean-atmospheric variables including surface temperature of adjacent seas and... 

This study consists of two parts. In the first part, the performance of the LISFLOOD-FP model, which is raster-based, and the HEC-RAS model, are compared and evaluated. This work studied different scenarios under various digital models in two study areas, the Kashkan study basin with mountainous topography and the basin in Nebraska, which has a plain surface. The flood events are among the most severe floods in both study areas that occurred in March and April 2019. This study showed that in mountain topography, the performance of both models is good even with the 30 m high digital models. Although two models perform well, in the Nebraska basin, the performance of the two models in the... 

Research for renewable energy has grown considerably over the last years. Osmotic energy is a form of renewable energy which is not yet used at commercial scale, but have a large potential to used at commercial scale soon. Osmotic power is a technique that converts the difference of molar free energy between fresh water and salt water into electricity. Pressure retarded osmosis (PRO) is the most frequently studied process of osmotic energy. In PRO two solutions of different salinities are brought into contact by a semipermeable membrane that only allows the transport of water and retain the solute. Positive developments in recent years initiated new studies to the exploitation of osmotic... 

In order to reduce damage caused by power outages on rare events that lead to long-term disconnection of microgrid from utility grid, isolated mode performance of microgrids including wind and hudro turbines with energy storage systems is considered in this study. Using wind energy as a renewable resource is considered as an appropriate choice for power production in microgrids. However, the uncertainty in wind turbines power generation is something challenging. The existence of water resources near the wind farms causes a special opportunity for operation of these resources along with wind turbines. This thesis aimed at balancing energy supply and demand in island mode of microgrid,... 

Construction of some structures including parks, bridges and leading walls conducted on the rivers in urbanization leads to the change in the form of the rivers and consequently the change in the hydraulic.The response of river to these changes which are in the form of changes in morphologic features seems to pose some threats such as flood, damage to the buildings located on the route, weakening the bridge of highways and aggradation and degradation of the ecosystem. Kan river, one of the biggest urban rivers in the mega city of tehran, has had some changes such as resort purposes, canalization, the change of slip and roughness and intersection with different bridges during recent... 

The practice of river restoration has grown exponentially over the last several decades. There has been little empirical evaluation of whether restoration projects individually or cumulatively achieve the legally mandated goals of improving the structure and function of rivers. Nutrient reduction through simple methods is the most critical factor. The simplest method, which has minimal financial burden as well as preventing, and reducing the entrance of pollutants into the Chalus River (Mazandaran, in north of Iran), has been selected. The origins of rivers start at a high point and move with a steep. ... 

The study of flood control operation in large scale multipurpose reservoir systems is deals with various objectives, such as flood damage reduction, hydropower generation and reliability of the system for supplying demands after flood seasons. The introduction of these objectives, introduces a conflict in objective function where tradeoff must be made. The purpose of this study is helping to decision making process in evaluation, planning and operation phases through preparing the Pareto curves that include various optimum alternatives for operation. For this purpose, we develop a multiobjective optimization model, based on use the mixed-integer linear programming. This model considers two... 

Detention basins have been used as one of the Best Management Practices (BMPs) for urban flood control during the last decades. In this study, rainfall-runoff modeling in Darakeh Catchment of Tehran for return periods of 50 and 100 years has been performed using Storm Water Management Model (SWMM). This modeling aims to evaluate the present drainage network in dealing with floods and to identify critical sections. Analytic Hierarchy Process (AHP) was used as analytical framework for siting detention basins considering hydrologic, hydraulics, physiographic and economic factors. First, weights for Criteria have been specified and then, site selection of detention basins has been performed.... 

This study aimed to investigate the efficiency of machine learning algorithms in capturing the dynamics of water particles' age distribution and in estimating the time series of median travel time (MTT) in river basins. The mechanism of solute transport in a catchment does not follow the hydrograph shape of the catchment and depends on the spatial and temporal distribution of solute resident time. The equations governing the age dynamics of water particles discharged from a catchment have been presented analytically in recent research. These equations showed that the transfer of solutes depends on various factors, including climatic conditions, basin topography, and basin vegetation. Also,... 

Increase of concentration of CO2 and other greenhouse gases will have significant effect on global climate. Climate change affects precipitation and hydrology, which in turn influences recharge to groundwater. Recharge to groundwater is an important source, which has the main role in groundwater resources availability. To trace these changes to recharges and its consequent effect on groundwater state, a combined modeling of climate change and groundwater is necessary. In This study impact of climate change on groundwater recharge in two different climatic plains of Karkheh river basin in Khuzestan, Iran, has been investigated using a physically-based methodology that can be used for... 

Future of the Karkheh River Basin and its people’s livelihoods clearly depends on natural resources like water, soil, vegetation and livestock. As water is the most limiting natural resource in this basin, any increase in water productivity will almost certainly benefit rural livelihoods. To ensure the sustainability of the improvements in water productivity, assessment of the possible impacts of climate change on hydrology and water resources in the basin is necessary. In this study the potential impacts of climate change on hydrology in the Karkheh River Basin were assessed using a macroscale hydrology model driven by 21st century simulations of temperature and precipitation downscaled... 

Today climate change impacts are increasingly visible through their effects on hydrology and water resources. So it is encouraging to adaptive planning and to reduce unfavorable impacts. Until now, they have been accomplished several studies on climate change impacts across the world. One of these impacts is runoff reduction to reservoirs of hydropower dams. Depending on hydrologic conditions, hydropower provides 16 percent of world electricity and 13 percent of national electricity demand. Hydroelectric power’s low cost, near-zero pollution emissions, and ability to quickly respond to peak loads make it a valuable renewable energy source.Given the important role of hydropower in peak... 

Digital Elevation Models (DEM) is a crucial element of hydraulic models, including floods. Due to the lack of high-precision topographic data, including ground-based mapping hydraulic modeling is challenging. In recent years, remote sensing data, extensively used by many researchers in hydraulic modeling due to global coverage and free access. One of the most critical questions in hydraulic modeling is the efficiency of these DEMs in flood simulation. This research focused on using remote-sensing-based DEMs, such as SRTM-30m and 90m, ASTER-30m, and ALOS-12.5m DEMs, on the performance of the HEC-RAS-2D model in the Gorganrood river.The results showed that ALOS and SRTM-30m DEMs' accuracy and... 

Industry Success leads to the use of fossil fuels in communities that result to climate change in the world. Among these effects, there is the effect on the severity, extent and duration of precipitation. Hydroelectric plants are clean and cheap energy resources in the world that due to the use of water, the phenomenon of climate change are very impressionable. Regarding high costs of construction and maintenance of these dams in order to exploit their lengthy; Impact of climate change on them is important issue.
In this research, first a nonlinear optimization model to maximize hydroelectric power generation by genetic algorithms in the MATLAB software environment has been developed....