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    Meteorological Drought Forecasting Using Conjunctive Model Of Adaptive Neuro Fuzzy Inference System And Wavelet Transforms (Case Study: Urmia Lake Watershed

    , M.Sc. Thesis Sharif University of Technology Soleimani, Arash (Author) ; Abrishamchi, Ahmad (Supervisor)
    Abstract
    Drought is a common phenomena which has a lot of unwanted conse-quences on human being life and environment. Drought forecasting plays a significant role in water resources and environmental systems. Considering IRAN inappropriate location which is on the arid and semi-arid area of the earth and Widespread damages which are related to drought during recent years in iran; importance of developing an accurate model by using new technologies becomes quite inevitable. In the last decay Neural Networks have appeared very useful in non-Stationary and non-linear time Series forecasting and modeling.
    This study is about to use conjunctive model of adaptive neuro fuzzy inference system and... 

    Balance between place attachment and migration based on subjective adaptive capacity in response to climate change: the case of Famenin county in western iran

    , Article Climate and Development ; 2017 , Pages 1-14 ; 17565529 (ISSN) Khanian, M ; Serpoush, B ; Gheitarani, N ; Sharif University of Technology
    Abstract
    The effects of climate change have disturbed the living patterns of many people around the globe during the past decade and it has been a key contributing factor to mass migrations. The ‘adaptation’ approach is currently considered the most effective available solution for balancing out these effects. As a result, many researchers are trying to find out how to increase the adaptive capacity of individuals and communities in response to the effects of climate change. The effect of place attachment as a factor which connects human societies to the surrounding environment is undeniable. In this regard, the present study attempts to analyse the role of place attachment in increasing the... 

    A nine-step approach for developing and implementing an “agricultural drought risk management plan”; case study: Alamut River basin in Qazvin, Iran

    , Article Natural Hazards ; Volume 102, Issue 3 , 2020 , Pages 1187-1205 Fatehi Marj, A ; Hosseini Hossein Abadi, F ; Sharif University of Technology
    Springer  2020
    Abstract
    Occurrence of drought, as an inevitable natural climate feature, cannot be ceased while happening. However, costs of the consequences could be alleviated using mature scientific integrated approaches. To reduce the amount of damage, it is required to provide “Contingency” and “Mitigation” action plans. For this reason, development of efficient operating instructions for various regions based on weather conditions and field studies is needed as well as having a sophisticated understanding of socioeconomic situations. This paper describes an approach to provide the first national agricultural drought risk management plan for a river basin in Iran country as a pilot. The study lasted for... 

    Review of cycles and indices of drought and their effect on water resources, ecological, biological, agricultural, social and economical issues in Iran

    , Article International Journal of Environmental Studies ; Volume 62, Issue 6 , 2005 , Pages 709-724 ; 00207233 (ISSN) Abbaspour, M ; Sabetraftar, A ; Sharif University of Technology
    2005
    Abstract
    This paper assesses the cycles and indices of drought in Iran and prepares general maps of the region, which are affected by droughts with 10- and 30-year reversible periods frequency of 1 and 3 years by utilizing statistical methods. To study the condition of drought, some indices have been applied in Yazd Province over a 48-year statistical period (1925-2000). Then with regard to existing statistics (1998-2001), the effect of drought on various issues during the most recent drought cycle have been assessed. © 2005 Taylor & Francis  

    Spatial Artificial Neural Network (SANN) based regional drought analysis

    , Article Proceedings - 2012 4th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2012 ; 2012 , Pages 3-8 ; 9780769548210 (ISBN) Saremi, A ; Saremi, K ; Saremi, A ; Sadeghi, M ; Sharif University of Technology
    2012
    Abstract
    Drought is one of the most serious hazards that has more effect on human societies than the others. Scentific researches have important roles in drought planning and management of water resources, especially in time of crisis and predicted big event by the event that the crisis management turnover. The main objective of this research is to develop an approach to analyze the spatial patterns of meteorological droughts based on annual precipitation data in Iran. By using a nonparametric spatial analysis neural network algorithm, the normalized and standardized precipitation data are classified into certain degrees of drought severity (extreme drought, severe drought, mild drought, and... 

    Interconnected governance and social barriers impeding the restoration process of Lake Urmia

    , Article Journal of Hydrology ; Volume 598 , 2021 ; 00221694 (ISSN) Pouladi, P ; Badiezadeh, S ; Pouladi, M ; Yousefi, P ; Farahmand, H ; Kalantari, Z ; Yu, D. J ; Sivapalan, M ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    Lake Urmia in Iran has undergone catastrophic desiccation due to increasing anthropogenic development, especially in the agricultural sector. A paramount national goal is to restore the lake to its former healthy condition, but corresponding water governance and restoration efforts have encountered various, mostly human-related, challenges. We argue here that these challenges stem from lack of awareness and insufficient consideration of the local social conditions and the subtleties of human-water interactions, which we collectively refer to as socio-hydrological barriers. Ignorance of such socio-hydrological barriers can lead to policy efforts that are mismatched with local realities and,... 

    Increasing risk of meteorological drought in the Lake Urmia basin under climate change: Introducing the precipitation–temperature deciles index

    , Article Journal of Hydrology ; 2020 Abbasian, M. S ; Najafi, M. R ; Abrishamchi, A ; Sharif University of Technology
    Elsevier B.V  2020
    Abstract
    Meteorological droughts due to the concurrent occurrence of low-precipitation and high-temperature events can lead to severe negative impacts on agriculture, economy, ecosystem, and society. This study proposes a novel framework to characterize such drought conditions based on the joint variability of precipitation–temperature, particularly under climate change. Generalized hierarchical linear model is used to downscale precipitation and temperature at multiple stations from the outputs of nine General Circulation Models (GCMs) under Representative Concentration Pathways (RCPs) 4.5 and 8.5. A bivariate drought index called Precipitation–Temperature Deciles Index (PTDI) is developed using... 

    Conjunctive Use of Surface and Ground Water Resources in Subject to Minimize the Storage and Pompage Costs in Drought Condition

    , M.Sc. Thesis Sharif University of Technology Mirjafari, Morteza (Author) ; Abrishamchi, Ahmad (Supervisor)
    Abstract
    Using a combination of groundwater and surface water, is defined as each project planned by combining these two sources which, in most cases, will achieve greater benefits than the non-integrated. The benefit is a set of privileges that technically, economically and environmentally justify the project. One of the prevalent and effective problems of fertile and flat plains of Khuzestan province, especially the Evan plain, is lack of proper drainage of agricultural land downstream of dams and irrigation networks which are covered by. In this plain also, according to statistics from Piezometers, the groundwater level is rising. At the first, the aim of this study is to study the current... 

    Probabilistic analysis of long-term climate drought using steady-state markov chain approach

    , Article Water Resources Management ; Volume 34, Issue 15 , 2020 , Pages 4703-4724 Azimi, S ; Hassannayebi, E ; Boroun, M ; Tahmoures, M ; Sharif University of Technology
    Springer Science and Business Media B.V  2020
    Abstract
    This study presents a steady-state Markov chain model to predict the long-term probability of drought conditions. The research aims to propose a rigorous framework for statistical analysis of drought characteristics and its trends over time for a large area of aquifers and plains in Iran. For this purpose, two meteorological indicators called the Standardized Precipitation Index (SPI), and the Groundwater Resource Index (GRI) are examined. The groundwater drought study includes more than 26,000 wells in about 600 meteorological stations over 20 years being surveyed daily. This study discusses the spatial interpolation of drought steady-state probabilities based on recorded SPI and GRI data... 

    Increasing risk of meteorological drought in the Lake Urmia basin under climate change: Introducing the precipitation–temperature deciles index

    , Article Journal of Hydrology ; Volume 592 , 2021 ; 00221694 (ISSN) Abbasian, M. S ; Najafi, M. R ; Abrishamchi, A ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    Meteorological droughts due to the concurrent occurrence of low-precipitation and high-temperature events can lead to severe negative impacts on agriculture, economy, ecosystem, and society. This study proposes a novel framework to characterize such drought conditions based on the joint variability of precipitation–temperature, particularly under climate change. Generalized hierarchical linear model is used to downscale precipitation and temperature at multiple stations from the outputs of nine General Circulation Models (GCMs) under Representative Concentration Pathways (RCPs) 4.5 and 8.5. A bivariate drought index called Precipitation–Temperature Deciles Index (PTDI) is developed using... 

    Increasing risk of meteorological drought in the Lake Urmia basin under climate change: Introducing the precipitation–temperature deciles index

    , Article Journal of Hydrology ; Volume 592 , 2021 ; 00221694 (ISSN) Abbasian, M. S ; Najafi, M. R ; Abrishamchi, A ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    Meteorological droughts due to the concurrent occurrence of low-precipitation and high-temperature events can lead to severe negative impacts on agriculture, economy, ecosystem, and society. This study proposes a novel framework to characterize such drought conditions based on the joint variability of precipitation–temperature, particularly under climate change. Generalized hierarchical linear model is used to downscale precipitation and temperature at multiple stations from the outputs of nine General Circulation Models (GCMs) under Representative Concentration Pathways (RCPs) 4.5 and 8.5. A bivariate drought index called Precipitation–Temperature Deciles Index (PTDI) is developed using... 

    Desiccation of a saline lake as a lock-in phenomenon: A socio-hydrological perspective

    , Article Science of the Total Environment ; Volume 811 , 2022 ; 00489697 (ISSN) Pouladi, P ; Nazemi, A. R ; Pouladi, M ; Nikraftar, Z ; Mohammadi, M ; Yousefi, P ; Yu, D. J ; Afshar, A ; Aubeneau, A ; Sivapalan, M ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    Understanding of how anthropogenic droughts occur in socio-hydrological systems is critical in studying resilience of these systems. This is especially relevant when a “lock-in” toward watershed desiccation occurs as an emergent outcome of coupling among social dynamics and surface and underground water processes. How the various processes collectively fit together to reinforce such a lock-in and what may be a critical or ignored feedback worsening the state of the socio-hydrological systems remains poorly understood. Here we tackle this gap by focusing on the case of Lake Urmia in Iran, a saline lake that faces the same fate as that of Aral Sea due to over-extraction of water sources that... 

    Using Echo State Networks for Modeling and Prediction of Drought Based on Remote Sensing Data

    , M.Sc. Thesis Sharif University of Technology Mohammadinejad, Amir (Author) ; Jalili, Mahdi (Supervisor)
    Abstract
    Iran is regarded as a dry land and has suffered from extreme to severe drought conditions in recent years. Drought – which is mainly caused by shortage in rainfall – affects the normal life in Iran. Development of tools for effectively monitoring and predicting drought intensity might help the policy makers to reduce the vulnerability of the areas affected by drought. In this thesis, we showed that the intensity of drought can be predicted using satellite imagery data and recurrent neural networks. To this end, the standardized precipitation index (SPI) was chosen as an index for drought and normalized deviation of vegetation index (NDVI) as a remote sensing measure extracted from NOAA-AVHRR... 

    Drought Management by Utilizing Water Trading Models (Case study: East Azarvbayjan, Orumieh River Basin)

    , M.Sc. Thesis Sharif University of Technology Hasanzadeh, Maryam (Author) ; Abrishamchi, Ahmad (Supervisor)
    Abstract
    The extended drought in the Orumieh River Basin has caused severe problems for Orumieh Lake. Due to the fact that agriculture is the biggest user of water resources in this region, effective management of groundwater and surface water resources plays an important role in management of Orumieh lake`s condition. In this situation, “water trading” by designing an efficient “smart market” seems to be a viable option; A market with lower transaction costs which can be adaptable to changing demands and being able to optimize economic benefit within the environmental constraints. This market works by reallocating water among users who intend to sell their excess water and those who prefer to buy... 

    Investigation of Drought Effects on the Groundwater Level in the Lake Urmia Basin

    , M.Sc. Thesis Sharif University of Technology Hayatbini, Negin (Author) ; Abrishamchi, Ahmad (Supervisor)
    Abstract
    The phenomenon of drought causes many damages which is not limited to arid and semi-arid areas and may have destroying effects on groundwater resources of any region. To investigate the drought effects on one of the Lake Urmia’s sub-basin, the precipitation data in 25 rain stations in period of 45 years (2011-1976) was used. After completing and restoring data, and checking the randomness and homogeneity of them, standardized precipitation index (SPI) with different time scales has been calculated. According to that, the monitoring maps of drought using ArcGIS tool with regard to best interpolation method was created in order to identify the sensitive areas in dry years.
    Moreover,... 

    Optimizing Operation Policy of Multipurpose Reservoirs System Under Drought (Case study: Latian-Mamlu reservoirs system)

    , M.Sc. Thesis Sharif University of Technology Moradi, Mohammad Reza (Author) ; Abrishamchi, Ahmad (Supervisor)
    Abstract
    In many regions of Iran, arid and semiarid climate and increase of water consumption, lead water managers to use optimal operating of water resources systems. During periods of drought, when inflows to the reservoir are low, it may not be possible to satisfy the target delivery (planned demand), and shortage occurs. Also, During periods of drought, the underground water resource’s pollution and inordinate consumption of underground water resources, increase density of water pollution. These reasons always appoint water resource planner to develop models for determine optimal surface water resource operating rules. Using of hedging rules that are attended by many researchers in these... 

    Agricultural Income Shocks and Daily Work Hours of Child Labor in Iran

    , M.Sc. Thesis Sharif University of Technology Shakerdargah, Ali (Author) ; Keshavarz Haddad, Gholamreza (Supervisor) ; Fatemi Ardestani, Farshad (Supervisor)
    Abstract
    Empirical finding and evidence asserts that families, in response to income shock, allegedly use their children as income sources and have them to participate in the labor market. By making use of Propensity Score Matching and Heckman Two Steps models and exogenous agricultural income shocks, we examine the hypothesis for the families in the rural areas of Iran. We use the Households' Income and Expenditures Survey of Iran for two consequent years of 1393 (2014) and 1394 (2015). The working sample is restricted to households with children aged between 10-17 years old. Our findings show that the outcome of interest, daily work hours, is not significantly affected by the exogenous shocks of... 

    Drought Uncertainty Analysis under Climate Change Using Copula

    , M.Sc. Thesis Sharif University of Technology Abbasian, Mohammad Sadegh (Author) ; Abrishamchi, Ahmad (Supervisor)
    Abstract
    The classical approaches of drought analysis are performed using historical records and univariate statistical methods. In the use of historical records it is assumed that statistical characteristics of droughts will be exactly repeated in the future (the assumption of stationarity) and in the use of univariate methods it is assumed that drought variables (e.g. duration and severity) are independent; while on the contrary, global warming changes long-term climate patterns, which is called climate change, and also drought variables have significant correlation. Thus, results of classical approaches of drought analysis have uncertainties.The primary objective of this thesis is to propose an... 

    Development of a Model for Monitoring and Prediction of Drought under Climate Change at Watershed Scale

    , Ph.D. Dissertation Sharif University of Technology Abbasian, Mohammad Sadegh (Author) ; Abrishamchi, Ahmad (Supervisor) ; Moghim, Sanaz (Supervisor)
    Abstract
    The objective of this dissertation is to develop a model to monitor and project the long-term changes in meteorological drought under climate change at watershed scale. In this model, drought is defined based on joint precipitation-temperature values since negative correlation between precipitation and temperature implies that drier periods are often warmer, and therefore, the consequences of drought are more severe compared to low-precipitation periods with mild temperature. This is of particular importance considering global warming. To quantify drought, an indicator called precipitation-temperature deciles index, which is an extension of precipitation deciles index, is introduced. Copula... 

    Essays on Environmental Economics

    , Ph.D. Dissertation Sharif University of Technology Amanzadeh, Naser (Author) ; Fatemi Ardestani, Farshad (Supervisor) ; Vesal, Mohammad (Supervisor)
    Abstract
    The relationship between the environment and human life has long been considered by researchers. Technological growth in the last century, by the intensification of natural resources usage, led to environmental degradation, and thus the importance of recognizing the relationship between human life and the environment has doubled. The present dissertation is organized in three chapters, in each of which we investigate the impacts of a dimension of environmental degradation on human well-being.In the first chapter, we investigate the effect of drought on expenditure and income per capita of Iranian households. To do this, we combine the expenditure and income data of more than 600,000 urban...