Mohsen Nasseri

University of Tehran | UT · School of Civil Engineering

This study applied a stacked generalization ensemble approach to generate high-resolution precipitation estimates and compared its performance with an optimized local weighted linear regression (LWLR) algorithm, a well-known local precipitation-elevation interpolation method incorporating physiographical factors. The stacked generalization ensemble...

Precipitation is a vital pillar in the most of hydro-climatological studies. To measure its stochastic behavior, recent technological advancements have provided new sources of High-Resolution Precipitation Products (HRPPs), which could be utilized to overcome limitations of the ground measurements. However, accuracy of HRPPs is not the same in diff...

Accurate spatial estimation of precipitation is central to hydroclimatic studies. In this study, deterministic and probabilistic Inverse Distance Weighting (IDW) methods were utilized to provide spatial estimations of precipitation. To improve their accuracies, a modified version of IDW was developed by separation of IDW weights in XY-plane and Z d...

Distributed hydrological models can be suitable choices for predicting the spatial distribution of water and energy fluxes if the conceptual relationships between the components are defined appropriately. Therefore, an innovative approach has been developed using a simultaneous formulation of bulk heat transfer theory, energy budgeting, and water b...

Climate change affects atmospheric circulation patterns and intensifies recurrent extreme weather events across the globe. It has resulted in increasing air temperatures, rising sea levels, and alterations in precipitation patterns, which will immensely influence the hydro-environment regime in semi-enclosed water bodies (e.g., gulfs and estuaries)...

Identifying flood drivers and accurately estimating design floods play a crucial role in fostering sustainable and effective planning and management strategies for mitigating flood risks. Regional Flood frequency Analysis (RFFA) is one of the most commonly used approaches to estimate design floods in ungauged watersheds. This study used XGBoost cou...

Nowadays, the consumption of natural resources is increasing due to population growth, climate change, and development. Considering the crucial impacts of the regional characteristics, this study develops an energy-water-emissions (EWE) nexus model using a system dynamics (SD) framework to assess the pattern of greenhouse gas (GHG) emissions. The m...

Numerous urban systems globally are forecasted to experience ramifications from climate change, including amplified rainfall intensity, storm surge, flooding, and the urban heat island effect. These changes will heavily influence the management of cities and their inhabitants, as well as the services they offer. In order to mitigate this impact, ad...

Climate change and its impacts have significantly altered the hydro-climatological conditions worldwide. Accurate monitoring of drought is a crucial work for assessing water availability and environmental suitability. The Palmer Drought Severity Index (PDSI) is a key indicator used to measure hydrological drought. However, its application in mounta...

The determination of actual evapotranspiration (ET) plays a crucial role in hydrological modelling; however, it is subject to multiple sources of uncertainty. Sophisticated energy-based methods, such as METRIC, may lead to varying results based on diferentinitial and boundary conditions. In this study, the relationship between groundwater withdrawa...

Evaluating the susceptibility of regional climates to climate change gives a pattern to realistically analyze the probable future climate changes. This paper investigates human influence on variations in precipitation extremes in Iran by evaluating precipitation data provided from 286 rain-gage stations during 1967-2010 and general circulation simu...

The estimation accuracy of global precipitation datasets has been enhanced using a committee of various sources. However, the existing merging methods mainly rely on gauge-based measurements, which may have significant uncertainty across data-scarce regions. The unique approach of Triple Collocation (TC) has been widely used in various geographical...

Introduction and purpose: Greenhouse gas emissions and air pollutants are major challenges facing humankind today, primarily due to the consumption of energy carriers. Industries contribute significantly to the development of a country but also contribute to increased energy consumption, which is unavoidable. To address this issue, the use of energ...

This study compared three different snowmelt scenarios using a monthly water balance model in the Taleghan-Alamut Basin in north of Iran. Three scenarios were tested in this study: a temperature-based, a net radiation-based, and an energy balance-based. Remote sensing data were utilized to mitigate the challenges of modeling snowmelt in a basin wit...

Precipitation is a key constituent of the water cycle and its accurate measurement is essential for a wide range of hydroclimatic studies. Although advances in technology have provided new sources of precipitation data (e.g., satellite data), gauge measurements are still considered as the most reliable source of information. Accuracy of ground meas...

Drought is one of the inseparable elements of climate fluctuation that causes a lot of damages every year. Considering the effects of drought on different parts of the environment, agriculture, natural resources, wildlife, etc., drought forecast can be useful for managing the crisis and reducing its damages. In this study, monthly drought was calcu...

The growing use of global-scale environmental products in hydro-climatic modeling has increased the variety of their applications and the complications of their uncertainties and evaluations. Researchers have recently turned to statistical blending of these products to achieve optimal modeling. The proposed statistical blending in this study includ...

The aim of this paper is the spatiotemporal characterization of daily PM 10 (1 km spatial resolution) using machine learning (ML) models (Random Forest (RF) and Gaussian Process Regression (GPR)) over Tehran as the most polluted city in Iran for policy-makers. The performances of the ML models (which are calibrated via large-scale and different spa...

Radar satellite imagery has been widely used to obtain soil moisture (SM) estimates of high accuracy. However, obtaining the best accuracy of SM estimates requires investigating the contribution of vegetation canopy to the accuracy of retrieved SM. We used the Integral Equation Model (IEM) coupled with the Water Cloud Model (WCM) (herein referred t...

Emission of Green House Gases (GHGs) and climate change has become one of the most important challenges of the modern civilization. One of the main causes of emission is the consumption of energy carriers. With the growth of population, industries play a very important role in the development of countries, and this makes the increase in the consump...

Air pollution has many harmful effects and leads to various damages. In this research, the amount of social costs caused by air pollution in Tehran metropolis for PM, NOx, SOx, CO and VOC pollutants has been met. For this purpose, first, the emission rate of this pollutant has been determined based on the reports of the Environmental Protection Org...

Previous studies depicted that the global gridded hydroclimatic products mostly lack precision and are inconsistent throughout the real-world water cycle. The current study evaluates the efficiency of the eight streamflow datasets (FLDAS, GLDAS 2.1, GLDAS 2.0, ERA5, TERRA, ERA5_Land, MERRA2, and GRUN) in two large-scale watersheds with different cl...

Human activities and climate change are recognized as two of the most important drivers of hydrologic variability and have attracted the interest of researchers over the past decade. Changes in land use, dam construction, agricultural development, and global warming are forces that directly or indirectly impact the global and local hydrologic regim...

This article aimed to investigate the potential of using three large‐scale precipitation products (PPs), including TRMM, ERA5‐Land, and MSWEP, and two land surface characteristics, including NDVI and Land Surface Temperature (LST), to improve the accuracy of an elevation‐based spatial non‐stationary, Locally Weighted Linear Regression (LWLR) method...

Nowadays, large-scale and remotely sensed products have been widely used, and this study aims to investigate the effect of precipitation and evapotranspiration (ET) products on the performance of hydrological models, especially the water balance in Gheshlagh and Baghmalek basins in Iran with two different climates and model structures. For this pur...

In this article, a method for interpolating precipitation, based on the non-stationary relationship between precipitation and elevation in time and space, has been introduced, which can be used in water balance calculation studies at the study-area level over the country. In this method, each DEM cell’s precipitation is calculated by establishing a...

Accurate determination of spatio-temporal distribution of temperature plays a decisive role in water balance studies due to its impact on the potential evapotranspiration and other hydro-climatological components of water balance. Current practice based on the Iranian national water balance guideline provides a time-consuming methodology for estima...

Considering the importance and role of water balance in structural and non-structural planning of water resources management, determining its climatic and hydrological components is of particular importance. In the technical literature of the subject, extensive research has been done in order to determine experimental and conceptual relationships w...

Empirically-derived relationships are mainly used to estimate evapotranspiration (ET) in water balance models. Due to a lack of effective factors and correct conceptual relationships, the resulting ET may be inaccurate. Therefore, a hydrological model was developed by combining water balance and Bulk Transfer theory, called Semi-Distributed Coupled...

Precipitation is a major component of the water cycle, and its monitoring plays a key role in many aspects of water resources management. Despite technological advancements and availability of large-scale precipitation datasets, demand for ground observations as benchmark data is still vital. In this research, a method is developed to optimize rain...

In recent decades, regions all around the world have experienced severe droughts adversely affecting their agricultural production. Climate change, along with limited access to water will alter future production and agricultural development. The purpose of this study is to provide a perspective for the future cultivation regime in the Divandarre re...

Considering snowmelt in mountainous areas as the important source of streamflow, the snow accumulation/melting processes are vital for accurate simulation of the hydrological regimes. The lack of snow-related data and its uncertainties/conceptual ambiguity in snowpack modeling are the different challenges of developing hydroclimatological models. T...

In this paper, a comprehensive semi-distributed water balance model is presented for basins under anthropogenic impacts. It benefits from data in different time resolutions for estimation of surface and groundwater exchanges and water withdrawals for various purposes. Ground-based data such as vegetation cover and topography have been used to deter...

Introduction Greenhouse gases emission cause the rising average temperature of the Earth and has disturbed the global and local water cycle (IPCC, 2007). Precipitation is one of the most important climatic variables, which has been affected spatiotemporally by climate change. Its effects are not uniformly influenced the terrsitrial areas. Changes...

Drought is one of the inseparable parts of climate fluctuations that cause a lot of damage every year. Considering the effects of drought on different parts of the environment, agriculture, natural resources, wildlife, etc., its prediction can be useful for managing the crisis and reducing the damages caused by it. In the current research, monthly...

In recent decades, the application of quantitative and qualitative mathematical models for evaluation of Water Bodies hydrodynamic phenomena was taken spread. In this research, a two-dimensional hydrodynamic model was developed for quality evaluation of Bamdej wetlands from Shavour dam in upstream to the Tavana channel intersection in the downstree...

This paper aims to predict the failure pressure of corroded offshore pipelines, employing different machine learning techniques. To this end, an efficient finite element based algorithm is programmed to numerically estimate the failure pressure of offshore pipelines, subjected to internal corrosion. In this process, since the computational effort o...

Human and climate are two major scio-hydrologic drivers that determine hydrological regimes and patterns. In this regards, Land Use and Land Cover (LULC) changes, agricultural development, etc., on global and regional scales, hydro-climatological components have been influenced so far. The effects of each driver on the variation of hydrological com...

In recent decades, air pollution has become a crucial issue in megacities such as Tehran; therefore, its spatial estimation can help with better control and management of air pollution effects on humans and the environment. Since the number of air pollution monitoring stations is limited in Tehran, using remotely sensed data and obtaining its relat...

The surface energy balance (SEB) model is a physically based approach in which aerodynamic principles and bulk transfer theory are used to estimate actual evapotranspiration. A wide range of different methods have been developed to parameterize the SEB equation; however, few studies addressed solutions to the SEB considering the land surface temper...

In recent decades, regions all around the world have experienced severe droughts adversely affecting their agricultural production. Climate change, along with limited access to water will alter future production and agricultural development. The purpose of this study is to provide a perspective for the future cultivation regime in the Divandarre re...

Based on the announced (Intended) Nationally Determined Contributions (INDCs), parties to the United Nations Framework Convention on Climate Change (UNFCCC) have introduced greenhouse gas emission reduction goals. These goals are based on the country-specific long-term climate policy. However, these goals do not necessarily match the countries’ soc...

Against the paramount role of actual evapotranspiration (ET) in hydrological modeling, determining its values is mixed with different sources of uncertainties. In addition, estimation of ET with energy-based methods (e.g., METRIC) leads to different results with various acceptable initial and boundary conditions (such as land use and cold/hot pixel...

The United Nations Framework Convention on Climate Change calls on member states to reduce their greenhouse gas emissions as much as possible in order to combat global warming. Iran has announced 4 and 12 percent emission reduction targets in 2030 in its Intended Nationally Determined Contributions compared to the Business-As-Usual (BAU) scenario,...

We compare the predicted results of future hydrological changes based on a thirty-year (1989-2019) weather dataset with paleoclimatic changes inferred based on established proxies from the Jazmurian playa in southeastern Iran. Parallels between expected changes in the future were compared to past climatic conditions to trace the impact this region...

Precipitation data are of paramount importance in hydrological modeling procedures. In recent years, many large-scale precipitation products have been developed by researchers. In this study, performance of two statistical techniques, namely, Triple Collocation (TC) and Correlated Triple Collocation (CTC), are assessed during evaluation of monthly...

One of the most influential environmental variables is rainfall which has significant effect on water resources management, agricultural development, hydrology, and climate change studies. Due to high spatiotemporal variability of rainfall, its monitoring network design can be considered as a useful tool to improve the efficiency of recorded rain g...

Evapotranspiration is one of the most important part of hydrologic cycle that sink the watershed moisture flux to outside from the existing water resource. Most of the current relationships equation for estimating actual evapotranspiration are empirical, which are based on local condition that their calibration or selection must be based on status...

Improving precipitation accuracy over a watershed is one of the highest priorities in water resources studies and management. Several global precipitation datasets are available for estimating precipitation over any region in the world. However, local or regional application of these datasets should account for and correct potential errors in the o...

The aim of this research is to gain a better understanding of the effects of climate change with a comprehensive and dynamic perspective. Therefore, by using the System Dynamics (SD) approach to simulate the effects of climate change on the quality and quantity of the Karoun River and regarding the water supply and demand systems in the region and...

To fully benefit from remotely sensed observations of the terrestrial water cycle, bias and random errors in these data sets need to be quantified. This paper presents a Bayesian hierarchical model that fuses monthly water balance data and estimates the corresponding data errors and error-corrected water balance components (precipitation, evaporati...

Statistical downscaling of General Circulation Models (GCM) simulations is widely used for projecting precipitation at different spatiotemporal scales. However, the downscaling process is linked with different source of uncertainty including structural/parametric uncertainty of the model and output uncertainty. This research proposes a novel framew...

Accurate spatial estimation of precipitation plays a key role in many hydrological modelling, water resources planning and agricultural management studies. In order to estimate high-resolution precipitation in the current research, an estimation model based on PRISM framework considering Digital Elevation Model (DEM) and other spatial attributes is...

Abstract Extended Abstract: 1- Introduction: Estimation of discharge in ungauged basins is of prominent importance in hydrologic and water resource management studies; however, it is not possible to determine the runoff coefficient in different watersheds without streamflow data. In many study areas of the country (unit of hydrological basis and b...

Different sets of dry spell length such as complete series, monthly maximum, seasonal maximum, and annual maximum are applied and modeled with different probability distribution functions (such as Gumbel Max, generalized extreme value, Log-Logistic, generalized logistic, inverse Gaussian, Log-Pearson 3, generalized Pareto) to recognize in which dur...

The anisotropy and directional variation of spatial attributes is one of the most important challenges in spatial estimation of environmental features. This problem received a suitable response in the realm of stochastic modeling using directional variography; however, there is not any specific solution in the field of deterministic methods. In thi...

The importance of optimization of rain gauge stations locations is critical given that rainfall data is central to various water-related studies. As rainfall data has vagueness in nature, fuzzy set theory can describe uncertainties existing in rainfall data. In this paper, we develop a framework to rainfall network design that combines fuzzy concep...

Evapotranspiration (ET) is one of the most important factors controlling hydrologic, agricultural, and weather cycles. It also converts a large portion of rainfall into vapor, being known as the largest water flux from the earth into the atmosphere. Since ET is affected by many factors, such as land surface characteristics and climatic conditions,...

Change in the spatiotemporal pattern of precipitation is one the most important effects of climate change. This may result in considerable changes in urban flooding and yield a variation in the rate and volume of stormwater, resulting in the failure of stormwater collection systems. In the current paper, the effects of different downscaling methods...

Background and purpose: Jajrood River is one of the major drinking water supply rivers in Tehran, so, the effects of climate change on its quantitative and qualitative resources are highly important. This study aimed at investigating the effect of climate change on organic carbon removal in Jajrood basin. Materials and methods: In this descriptiv...

Accurate estimation of the spatial distribution of precipitation is crucial for hydrologic modeling. To achieve the realistic estimation of precipitation, developing a ground-based observatory system is a costly and time-consuming strategy compared with other solutions such as using a combination of satellite- and ground-based observations. In this...

In response to the climate change, hydrologic and environmental changes and increased uncertainties, implication of water resilience in a context of water governance is essential for improved management. This study aims to answer the following questions: 1) what are different types of resilience with regard to its several definitions, 2) what is th...

nland wetlands are of the most important natural terrestrial types of water resources. Against its importance in protecting and improving biodiversity, air quality and macro-climatic condition of their regions, industrial development, and urbanization treat their natural existence and behavior. Therefore, monitoring and quality evaluation of wetlan...

Hydrological models are simplified imitations of natural and man-made water systems, and because of this simplification, always deal with inherent uncertainty. To develop more rigorous modeling procedures and to provide more reliable results, it is inevitable to consider and estimate this uncertainty. Although there are different approaches in the...

Extreme weather conditions have an important role on strategic planning of water resource and developing adaptation plans and natural disaster management. Therefore, it is necessary to present a detailed perspective of upcoming extreme patterns of rainfall events. In the context of climate change, pattern extraction of extreme events can only be ac...

Simulation of sediment movement, identification of scour pattern, and sediment variations play an important role in river rehabilitation and protection of hydraulic structures considering their stability and safety. In general, different shapes of abutments (circular, vertical, and wing wall) and also spur dikes were employed to protect against sco...

Intense seismic excitations might be considered as one of the most important loading cases imposed on offshore jacket platforms. To perform seismic assessments for these structures, appropriate suites of ground motions can be selected by different methodologies. Since time history analyses of fixed offshore platforms are truly time consuming, numbe...

Evaluation of the impact of climate change on water sectors is one of the most important challenges of water resources management in the current century. In this paper, assessment of vulnerability to climate change on total organic carbon (TOC) concentration in the Jajrood catchment in Tehran has been done. The hydroclimatologic parts of the assess...

Environmental processes are complicated, so it is important to consider uncertainty as part of environmental modelling. A new variant of the machine learning-based method for residual estimation and parametric model uncertainty is presented. This method is based on the UNEEC-P (UNcertainty Estimation based on local Errors and Clustering - Pianosi)...

Identifying the flood susceptible areas is a vital and substantial element of disaster management for every country to control and mitigate injuries of the natural hazards. The current research presents a framework for the preparation of flood prone areas' maps by the integration of Geospatial Information System (GIS), fuzzy logic, and Multi-Criter...

Precipitation data plays an important role in investigation of water-related fields of research such as water resources management, hydraulic structure design and groundwater quantity/quality parameters due to its high variability in space and time. To evaluate and investigate precipitation pattern, a set of well-designed rain gauge stations can su...

Efforts to achieve suitable estimation of parametric or the structural uncertainty of mathematical or conceptual frameworks have been led to develop various probabilistic, possibilistic, and innovative methods. In this paper, uncertain parametric behavior in a monthly water balance model has been studied using the structure of the UNEEC-P method. I...

In this paper, long-term hydrological response of a watershed to climate change was investigated taking into account the spatial scale effect on the performance of hydrological models. A water balance model was used in which variations of soil moisture, snow budget, deep infiltration and interactions with groundwater resources were modeled. Four va...

A pattern of water quality affected by the input regime and site specification is one of the most important issues in water supply resources and demand management. The present study aims to assess the water quality of Latyan dam, the important reservoir that supplies drinking water of Tehran, the capital city of Iran. Monthly water sampling was per...

Rain gauges are installed to measure pointwise precipitation and provide a comprehensive perspective of its spatiotemporal variations. Selection of an efficient and reliable rainfall monitoring network is a key role to reduce its maintenance and handling cost. The main purpose of the current paper is to compare efficiencies of various network desig...

Efforts to achieve suitable estimation of parametric or the structural uncertainty of mathematical or conceptual frameworks have been led to develop various probabilistic, possibilistic, and innovative methods. In this paper, uncertain parametric behavior in a monthly water balance model has been studied using the structure of the UNEEC-P method. I...

Most often than not, incomplete datasets or short-term recorded data in vast regions impedes reliable climate and water studies. Various methods, such as simple correlation with stations having long-term time series, are practiced to infill or extend the period of observation at stations with missing or short-term data. In the current paper and for...

The main purpose of this study is reform, development and evaluation of dynamic water balance model “DWB” with the approach of the proportional coefficients “To the kind of hydrological reality-based constraints” and acts the withdrawal of groundwater and surface water resources along with calibration and uncertainty analysis its parameter. The res...

Many river-reservoir systems have been significantly affected by climate change. Karun and Dez multi-reservoir system is the largest reservoir system in Iran, which has experienced significant decline of surface runoffs in the past 10 years. Currently, the system contains six multipurpose hydropower reservoirs and 8 more dams have been studied to b...

In this paper, two data mining methods, support vector machine (SVM) and group method of data handling (GMDH), were used to identify spatiotemporal meteorological correlations, which can be used to forecast basin scale seasonal droughts. Standardized Precipitation Index (SPI) was used as a meteorological drought severity index. The case study of th...

This article aims at proposing an improved statistical model for statistical downscaling of monthly precipitation using multiple linear regression (MLR). The proposed model, namely Monthly Statistical DownScaling Model (MSDSM), has been developed based on the general structure of Statistical DownScaling Model (SDSM). In order to improve the perform...

Abstract field and aim: Bahmanshir River is one of the main water resources in southwest Iran which salinity intrusion and other pollution sources have influenced the water quality of this river. In this study, quantitative and qualitative modeling of Bahmanshir River and the water channels of Choebdeh shrimp Culture is performed using MIKE11 softw...

In this paper, two approaches to assess the impacts of climate change on streamflows have been used. In the first approach (direct), a statistical downscaling technique was utilized to predict future streamflows based on large-scale data of general circulation models (GCMs). In the second approach (indirect), GCM outputs were downscaled to produce...

Drought and water scarcity are two of the most important key terms in the water resources management. Drought as a large scale natural disaster is out of water resources managers control. On the contrary, water scarcity, which is the result of the wasteful and immethodical use of water resources, can be managed using precise and proper management d...

Over consequent decades, it's expected that billions of individuals, notably those in developing countries, face shortages of water and food and larger risks to health and life as a result of global climate change. Education and awareness-raising play a vital role in increasing the global climate change adaptation and mitigation capacities of commu...

The analysis uncertainty of hydrological models and identify the statistical properties them basis of existing relationships between of the model parameters and inputs is numerous of the most important hydrological modeling. In this context one of the known methods for modeling the water balance at the catchements scale is Dynamic water balance mod...

The analysis uncertainty of hydrological models and identify the statistical properties them basis of existing relationships between of the model parameters and inputs is numerous of the most important hydrological modeling. In this context one of the known methods for modeling the water balance at the catchements scale is Dynamic water balance mod...