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    Large metropolitan water demand forecasting using DAN2, FTDNN, and KNN models: A case study of the city of Tehran, Iran

    , Article Urban Water Journal ; Volume 14, Issue 6 , 2017 , Pages 655-659 ; 1573062X (ISSN) Ghiassi, M ; Fa'al, F ; Abrishamchi, A ; Sharif University of Technology
    Taylor and Francis Ltd  2017
    Abstract
    Efficient operation of urban water systems necessitates accurate water demand forecasting. We present daily, weekly, and monthly water demand forecasting using dynamic artificial neural network (DAN2), focused time-delay neural network (FTDNN), and K-nearest neighbor (KNN) models for the city of Tehran. The daily model investigates whether partitioning weekdays into weekends and non-weekends can improve forecast results; it did not. The weekly model yielded good results by using the summation of the daily forecast values into their corresponding weeks. The monthly results showed that partitioning the year into high and low seasons can improve forecast accuracy. All three models offer very... 

    Urban Water Demand Forecasting with Dynamic Artificial Neural Networks

    , M.Sc. Thesis Sharif University of Technology Fa'al, Fatemeh (Author) ; Abrishamchi, Ahmad (Supervisor)
    Abstract
    The water demand forecasting is an important activity for successful planning, utilization and operation of urban water supply and distribution systems. The population growth result in water consumption growth, also the restriction of water resources lead to pay more attention to the water demand management. The unexpected droughts, financial crises, over-use of water resources, or inessential infrastructure development are the outcome of poor water demand prediction and inflexible water resource management. This research is addressed the daily short-term (two week ahead), weekly medium-term (six months ahead), and monthly long-term (two years ahead) water demand. The dynamic artificial... 

    A sustainable urban water management model under uncertainty: a case study

    , Article Management of Environmental Quality: An International Journal ; Volume 32, Issue 2 , 2021 , Pages 376-397 ; 14777835 (ISSN) Shabani, M ; Shams Gharneh, N ; Akhavan Niaki, S. T ; Sharif University of Technology
    Emerald Group Holdings Ltd  2021
    Abstract
    Purpose: Tackling the challenges of water scarcity requires comprehensive management according to financial, environmental and social issues. This paper aims to develop a planning approach for systematic decision-making and pay attention to uncertainties in water demand management and supply investment. Design/methodology/approach: This study presents a multiobjective optimization model to manage water resources based on the balance of supply and demand. The objectives of the model include economic, social and environmental (sustainable development) factors. The model achieves an optimal urban water portfolio by using a scenario tree. Findings: The mathematical goal programming (GP) in a... 

    Long-Term Water Demand Forecasting for the Tehran City under Uncertainties

    , M.Sc. Thesis Sharif University of Technology Miraki, Ghasem (Author) ; Abrishamchi, Ahmad (Supervisor)
    Abstract
    Forecasting model of water consumption amounts could be used in order to manage water resources for future condition of city. In this thesis, a model for forecasting water demand for Tehran has been presented by evaluating regression models and intelligent models. In this study, uncertainties which are connected to climate and population changes are taken into account. The considered variables include minimum, maximum and medium temperature, precipitation and solar radiation. Considering objectives of this thesis and various forecasting methods and their advantages and regional conditions of Tehran, in addition to regression analysis, perceptron neural network, probabilistic neural network... 

    Multi-criteria decision making for integrated urban water management

    , Article IAHS-AISH Publication ; Issue 293 , 2005 , Pages 73-82 ; 01447815 (ISSN) Zarghaami, M ; Abrishamchi, A ; Ardakanian, R ; Sharif University of Technology
    2005
    Abstract
    The integration of water demand management measures using a multi-criteria decision making model is discussed. The demand management measures include leakage detection, water metering and distribution network rehabilitation. A Compromise Programming method is used for integration of criteria including economic efficiency, public health and sustainability. The model is found to be efficient for long-term plans for implementation and usage of resources and is capable of being employed by decision makers in comprehensive urban water management studies  

    Water Market Modeling in Response to Water Resources Allocation Challenges in Orumieh River Basin

    , M.Sc. Thesis Sharif University of Technology Mohammadi Azar, Nasim (Author) ; Abrishamchi, Ahmad (Supervisor) ; Arhami, Mohammad (Supervisor)
    Abstract
    In recent years, water issues have been the focus of increasing international concern and debate. Agriculture is not only the world's largest water user in terms of volume, it is also a relatively low-value, low-efficiency water user. These facts are forcing governments and donors to rethink the economic, social and environmental implications of irrigation projects. Population growth, increase in water demand, the extended drought and utilization of too much water for agricultural, have been made water conflicts over water resources. Due to the drought has a significant economic and social impact on the irrigated agricultural sector, Water markets based on transferable water rights developed... 

    Regional Water Resources Management Using System Dynamics Approach, Case Study: Karaj Area

    , M.Sc. Thesis Sharif University of Technology Tavakoli, Saman (Author) ; Abrishamchi, Ahmad (Supervisor)
    Abstract
    Incline in the population and civilization, development of agriculture, and expansion of industries, in addition to limitations on surface and groundwater resources necessitate the existence of correct and efficient planning of management and utilization of water resources. Prediction of behavioral models of changes in water resources systems, influenced by utilizing strategies, absolutely helps stakeholders for conservative development of these resources. System dynamics is an object oriented method that is based on system's feedback. Not only it gives real description of complex systems, but also it provides the ability to influence effectively in development of the model for the user. The... 

    Water allocation using game theory under climate change impact (Case study: Zarinehrood)

    , Article Journal of Water and Climate Change ; Volume 12, Issue 3 , 2021 , Pages 759-771 ; 20402244 (ISSN) Hemati, H ; Abrishamchi, A ; Sharif University of Technology
    IWA Publishing  2021
    Abstract
    The combined effects of climate change and growing water demand due to population growth, industrial and agricultural developments cause an increase in water scarcity and the subsequent environmental crisis in river basins, which results in conflicts over the property rights and allocation agreements. Thus, an integrated, sustainable and efficient water allocation considering changes in water resources due to climate change and change of users’ demands is necessary. In this study, the drainage basin of Zarinehrood was chosen to evaluate the function of selective methods. Assessing climate change impact scenarios of the Fifth IPCC reports, e.g., RCP2.6, RCP4.5, RCP6.0 and RCP8.5, have been... 

    Seasonal prediction of Karoon streamflow using large-scale climate indices

    , Article World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress, 22 May 2011 through 26 May 2011 ; May , 2011 , Pages 1184-1193 ; 9780784411735 (ISBN) Azimi, M ; Golpaygani, F ; Tajrishy, M ; Abrishamchi, A ; Sharif University of Technology
    2011
    Abstract
    Water resources limitation in arid and semi arid regions on one hand and water demand increase on the other, have made the optimum utilization of existing water resources and systems necessary. In this context, researchers are trying to increase the accuracy and lag time of prediction by using various statistic and empirical models as well as different local and long-range variables in the last decades. Karoon River is the greatest and most important river in Iran because of agricultural water demand supply and hydroelectric power production. Therefore streamflow prediction of this river has considerable economical and social benefits. In this study the relationship between Karoon stramflow... 

    Selective withdrawal optimization in a multipurpose water use reservoir

    , Article International Journal of Environmental Science and Technology ; Volume 16, Issue 10 , 2019 , Pages 5559-5568 ; 17351472 (ISSN) Aghasian, K ; Moridi, A ; Mirbagheri, A ; Abbaspour, M ; Sharif University of Technology
    Center for Environmental and Energy Research and Studies  2019
    Abstract
    Dam construction in arid and semiarid regions is generally related to the risk of increased salinity, due to water passage in contact with salty formations. Hence, it is important to take reservoir thermal and salinity stratification into account in operational rules. In the present study, a simulation–optimization model was developed to determine the amount of water release from various outlets to discharge the brine from hypolimnion layer considering the downstream water quality limitations. The most appropriate time, rate, and concentration to release brine were determined based on water consumption conditions and downstream water demand and river ecology characteristics. The proposed... 

    Development of a dynamic long-term water allocation model for agriculture and industry water demands

    , Article Water Resources Management ; Volume 24, Issue 9 , 2010 , Pages 1717-1746 ; 09204741 (ISSN) Karimi, A ; Ardakanian, R ; Sharif University of Technology
    2010
    Abstract
    Demands growth and water resources limitation, enforce water sector policy makers to integrate water supply-demand interactions in a coherent framework for efficient water allocation. Water supply-demand interaction, changes long-term trend of water demands, which in turn has a substantial influence on water allocation. Researches on water allocation modeling lack adequate projection of relationship between water supply and demand. Socio-economic factors representing water allocation stakeholders' benefits, account for the main share of water supply-demand interaction. Identification, representation and consideration of these factors in a water allocation model, is the main limitation of... 

    Quantifying the impacts of agricultural alteration and climate change on the water cycle dynamics in a headwater catchment of Lake Urmia Basin

    , Article Agricultural Water Management ; Volume 270 , 2022 ; 03783774 (ISSN) Rahmani, J ; Danesh Yazdi, M ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    The rapid shrinkage of Lake Urmia over the past two decades has raised serious environmental concerns. Several restoration plans have been proposed to reduce agricultural water consumption to supply a remarkable fraction of the lake's environmental flow requirement. However, an accurate and realistic evaluation of the effectiveness of these plans in reducing agricultural water consumption across the basin is still poorly understood. This study assessed the water-saving potential of agricultural alteration in a snow-dominated catchment in the Lake Urmia Basin. In particular, we explored the impact of crop pattern alteration via reducing the cultivation area and employing different irrigation... 

    Promoting the adoption of residential water conservation behaviors as a preventive policy to sustainable urban water management

    , Article Journal of Environmental Management ; Volume 313 , 2022 ; 03014797 (ISSN) Shahangian, S. A ; Tabesh, M ; Yazdanpanah, M ; Zobeidi, T ; Raoof, M. A ; Sharif University of Technology
    Academic Press  2022
    Abstract
    As concerning with water insecurity driven by water scarcity threatens the lives and livelihoods of humanity worldwide, urban water demand management is focused on promoting residential water conservation behaviors (WCBs) as a critical policy response to water scarcity. However, urban water conservation initiatives cannot be successful unless households involve in residential WCBs voluntarily by adopting water curtailment and/or water-efficiency actions. Thus, understanding motivations and mechanisms underlying accepting these two types of WCBs and interpreting their distinctions are primary policy considerations to make sustainable water consumption behaviors. Hence, the purpose of this...