Hadi Memarian

• Doctor of Philosophy
• Professor (Assistant) at University of Birjand

Introduction: Soil erosion, a critical environmental issue, endangers ecosystems, agriculture, and food security. This study aims to develop a precise and comprehensive method for assessing soil vulnerability to erosion by exploring various advanced statistical and machine learning models. Combining spatial modeling and machine learning, this resea...

The evolution of land use patterns and the emergence of urban heat islands (UHI) over time are critical issues in city development strategies. This study aims to establish a model that maps the correlation between changes in land use and land surface temperature (LST) in the Mashhad City, northeastern Iran. Employing the Google Earth Engine (GEE) p...

This study examines the evolution of land use and land cover (LULC) patterns and their impacts on urban heat development, offering insights critical for city planning. This research develops a predictive model connecting LULC shifts to trends in land surface temperature (LST) over 35 years (1985–2020) in Sari metropolis, Iran. Utilizing Google Eart...

Gully erosion, a significant environmental issue, can lead to severe consequences like soil loss, habitat destruction, and water pollution. To mitigate its impact, accurate mapping of land sensitivity to gully erosion is crucial. Machine learning models offer a powerful approach to predict and map gully erosion susceptibility. This study focuses on...

Extended abstract 1- Introduction Soil conservation is of paramount importance for sustainable development, food security, and environmental protection. Understanding soil erosion is considered as a critical practice for soil conservation programs worldwide. Currently, soil erosion is increasingly recognized as a serious concern for sustainable agr...

To achieve sustainable development, it is crucial to conserve natural lands and implement sustainable land-use strategies. Environmental sustainability can be measured using indicators like ecological carrying capacity (ECC) and biological capacity (BC). In this study, the ecological sustainability and potential trends of land degradation of Khoras...

Vegetation cover is one of the basic and key ecological factors in arid regions, which will be severely affected by the drought process. As a result of this impacts, there will be increased intensity of soil erosion and soil degradation. Therefore, the present research was conducted with the aim of evaluating the process of drought and its impact o...

Land subsidence, as one of the environmental hazards, is happening in many countries of the world. This phenomenon, if not properly managed, can cause irreparable damage. In this regard, Iran, as one of the countries that has been facing the risk of land subsidence for several decades, will probably be affected by the damage of this phenomenon in t...

In the present study, four global climate models MRI-ESM2-0, IPSL-CM6A-LR, CanESM5, and GFDL-ESM4 from the set of CMIP6 models are assessed to select the best model and determine the effects of climate change on temperature and precipitation parameters under three shared socioeconomic pathway scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5) for the bas...

Floods cause great damage to ecosystems and are among the main agents of soil erosion. Given the importance of soils for the functioning of ecosystems and development and improvement of bio-economic conditions, the risk and rate of soil erosion was assessed using the RUSLE model in Iran’s Lorestan province before and after a period of major floods...

Floods cause great damage to ecosystems and are among the main agents of soil erosion. Given the importance of soils for the functioning of ecosystems and development and improvement of bio-economic conditions, the risk and rate of soil erosion was assessed using the RUSLE model in Iran’s Lorestan province before and after a period of major floods...

Land provides ecosystem services and social, cultural, spiritual and economic benefits and supports the promotion of human health and well-being. The human activities, especially the unsustainable and continuous exploitation of lands and the processes such as desertification, land degradation and drought have negative effects on ecosystems. The con...

Prediction of destructive flood events particularly in degraded watersheds necessitates the importance of model calibration procedure. Multi-objective calibration of hydrologic model parameters with conflicting objectives attempts to adjust the parameter values in terms of different objective functions. Thus, this research carried out a procedure o...

Soil erosion is a complex process with socio-economic and environmental impacts and acts as the main factor in land degradation in arid regions. We evaluated soil erosion risk in Iran's arid northeast based on the potential and actual soil erosion risks using the Coordination of Information on the Environment (CORINE) model in a Geographic Informat...

This research was mainly aimed at the validation analysis of an integrative approach of the physical-based stability index mapping (SINMAP) with the maximum entropy (MaxEnt) stochastic model for risk analysis of mass movements to identify effectual driving forces. The study area (the geologic zone of the Kopet Dagh-Hezar Masjed) is geographically l...

The Gorgan-rud river basin in the northeast of Iran has undergone extensive land use changes causing floods during the past decades. This study aims to investigate land use change and its correspondence to flood events during 1987–2017 in the study area. Six pixel- and object-based classifications algorithms were used for land use change modeling....

This study aimed to evaluate and compare the estimated rainfall of GPM meteorological satellite with ground stations using non-parametric Kolmogorov-Smirnov in Gorganrood catchment, Golestan province. In this study, 16 stations were used with the statistical period of 20.03.2014 -20.03.2016. The daily rainfall data of the GPM satellite with a spati...

Floods cause great damage to ecosystems and are among the main agents of soil erosion. Given the importance of soils for the functioning of ecosystems and development and improvement of bio-economic conditions, the risk and rate of soil erosion was assessed using the RUSLE model in Iran’s Lorestan province before and after a period of major floods...

Soil erosion is a complex process with adverse environmental impacts. Today, on a global scale, by modeling the effects of natural and human factors on the severity of soil erosion, it is possible to determine the main drivers of ecosystems, for effective policy-making in optimal soil management. Therefore, in this study, to assess the severity of...

Sustainable ecosystem management is an effective approach to prevent and tackle desertification on local and global scales. This study aims to determine and prioritize the main driving forces of desertification in northeastern Iran and to provide appropriate management strategies. This paper proposes effective policies and strategies using the mult...

Groundwater is one of the most important resources of water in the world. Studies show that low rainfall, persistent droughts, and over-exploitation have caused economic and environmental damage. Therefore, this study was conducted to evaluate the effects of rainfall and drought on the groundwater of Kashmar plain as one of the most important ferti...

Abstract Background and Objectives: Precipitation is one of the most important factors affecting water and energy balance in the world and important meteorological variables. To accurately estimate precipitation, various methods are used, including the direct use of meteorological ground station data and direct observations, the use of remote sens...

To manage rangeland ecosystems, the first step is to determine effective factors on species distribution and diversity. The prediction models of species distribution determine the most effective factors for any plant species and examine behavior of the species interacted with environmental variables and also accompanying species. In this work, to s...

This research aimed to appraise the performance of the Soil and Water Assessment Tool (SWAT) model in sediment flow simulation and also to investigate the uncertainty of the model in the watershed areas of arid and semi-arid regions. In this survey, we used the Sequential Uncertainty Fitting ver.2 (SUFI-2) algorithm to assess the uncertainty and ca...

1. Introduction Desertification is one of the most complex environmental threats with negative socio-economic impacts. Understanding the Spatio-temporal characteristics of this process is possible by identifying, monitoring, and evaluating important criteria and indicators (Akbari et al., 2016). Each of the criteria effective in desertification ca...

The hydrologic cycle in the river basins of semi-arid regions is severely influenced by climate change. The aim of this study is to assess the impact of climate change on the hydro-climatic condition in Zoshk-Abardeh watershed in the eastern Iran. The Soil and Water Assessment Tool (SWAT) was calibrated using the Sequential Uncertainty Fitting – Ve...

Desertification is a serious and perilous threat to natural ecosystems. Understanding the spatio-temporal characteristics of this process through the evaluation and monitoring of important indicators appears to be a challenging task. This research was carried out in arid regions of the northeast of Iran, with the objective of assessing desertificat...

Desertification is considered as a serious threat to natural resources and human communities. Understanding the factors affecting this process can play a key role in proper land management. The current study aims to prioritize important indicators of desertification utilizing factor and cluster analyses in the arid regions of northeastern Iran. At...

The main purpose of this research is to determine the generation quantity of each generator in a power system. In this way, not only will the electricity demanded by the system be supplied, but the cost of fuel along with the level of pollution can be minimized. Obviously, calculation of the optimal layout of power plants with the aim of minimizing...

In this research, two techniques of pixel-based and object-based image analysis were investigated and compared for providing land use map in arid basin of Mokhtaran, Birjand. Using Landsat satellite imagery in 2015, the classification of land use was performed with three object-based algorithms of supervised fuzzy-maximum likelihood, maximum likeli...

Although hydrological models play an essential role in managing water resources, quantifying different sources of uncertainties is a challenging task. In this study, the application of parameter uncertainty quantification methods and their performance for predicting runoff were investigated in Kashafrood River, as a large-scale basin, located in th...

Although hydrological models play an essential role in managing water resources, quantifying different sources of uncertainties is a challenging task. In this study, the application of two parameter uncertainty quantification methods and their performances for predicting runoff was investigated. Sequential Uncertainty Fitting version 2 (SUFI-2) and...

The proper use of natural resources can preserve these valuable assets. In line with the management of natural resources, land use optimization can be highly useful. The aim of the present study is to propose an appropriate integrative model for optimized allocation of lands for surface runoff and sediment load minimization and net income maximizat...

The change of land use/land cover has been known as an imperative force in environmental alteration, especially in arid and semi-arid areas. This research was mainly aimed to assess the validity of two major types of land change modeling techniques via a three dimensional approach in Birjand urban watershed located in an arid climatic region of Ira...

Socioeconomic assessment of rainwater harvesting systems considered as one of the efficient approaches in water resource management under deficit conditions, leads to a better management practice in the implementation of such systems. This work was aimed at analyzing the socioeconomic limitations and potentials of rooftop catchment systems in Goles...

This study evaluated the performance of rooftop catchment systems in securing non-potable water supply in Birjand, located in an arid area in southeastern Iran. The rooftop catchment systems of seven buildings were simulated for dry, normal, and wet years, in terms of a 31-year period of rainfall records. The trial and error approach and mass diagr...

The necessary recommendations for environmental management can be provided by measuring diversity and distribution of plant species. The relationship between species diversity and environmental variables affecting Furg rangelands, in the East of Iran was examined. A systematic-random approach was employed to sample vegetation and soil characteristi...

Evaluating rangelands means to identify and create potential and actual rangelands in order to utilize this valuable natural resource properly. Hence, one of the important factors in rangeland management is to determine range suitability and recognize factors affecting it. Weighted Linear Combination Method (WLC) is one of the most common methods u...

Mashhad City, according to the latest official statistics of the country is the second populated city after Tehran and is the biggest metropolis in the east of Iran. Considering the rapid growth of the population over the last three decades, the city's development area has been extended, significantly. This significant expansion has impacted natura...

In this study, the trends of water and sediment data collected from three hydrometer stations over the past 25 years of development in the state of Selangor, Peninsular Malaysia, were analyzed using the Mann–Kendall and Pettitt’s tests. Landscape metrics for establishing the relationship between land use changes and trends of hydrological time seri...

Land use changes in river basins result in flooding events that increase sediment load, which is a global concern and is becoming one of the main land management issues. Urban and agriculture development contributes to increasing trend of environmental damage within the Langat River Basin. Thus, an optimum land use pattern is necessary to meet long...

The world has a long experience of using harvested rainwater from rooftop catchments in urbanized regions. There are also many studies about the technical, health, and environmental details of such systems. The gradual prevalence of rainwater harvesting systems in the country exposes a necessity to determine and define some guidelines and instructi...

The world has a long experience of using harvested rainwater from rooftop catchments in urbanized regions. There are also many studies about the technical, health, and environmental details of such systems. The gradual prevalence of rainwater harvesting systems in the country exposes a necessity to determine and define some guidelines and instructi...

The world has a long experience of using harvested rainwater from rooftop catchments in urbanized regions. There are also many studies about the technical, health, and environmental details of such systems. The gradual prevalence of rainwater harvesting systems in the country exposes a necessity to determine and define some guidelines and instructi...

Abstract Rangeland ecosystems are considered as one of the most complex ecosystems and there are the close relationships between its components. This implies that rangeland resources in every area, be evaluated properly for each kind of utilizations and also land suitability is specified for each land use. The aim of this study was determining rang...

The necessary recommendations for environmental management can be provided by measuring the diversity and distribution of plant species. The relationship between species diversity and environmental variables affecting Furg rangelands, in the East of Iran was examined. A systematic-random approach was employed to sample vegetation and soil characte...

This work aims to assess the capability of co-active neuro-fuzzy inference system (CANFIS) for drought forecasting of Birjand, Iran through the combination of global climatic signals with rainfall and lagged values of Standardized Precipitation Index (SPI) index. Using stepwise regression and correlation analyses, the signals NINO 1 + 2, NINO 3, Mu...

The Hulu Langat basin, a strategic watershed in Malaysia, has in recent decades been exposed to extensive changes in land-use and consequently hydrological conditions. In this work, the impact of Land Use and Cover Change (LUCC) on hydrological conditions (water discharge and sediment load) of the basin were investigated using the Soil and Water As...

In recent decades, the Hulu Langat Basin in Malaysia has been exposed to extensive changes in land use pattern and consequently hydrological conditions. Maintaining a reasonable balance between environmental currents and governmental/population demands is a difficult task. In this work, 3 land use scenarios were defined, which are the present (base...

The impacts of land use/cover changes (LUCC) on a developed basin in Malaysia were evaluated. Three storm events in different intensities and durations were required for KINEROS2 (K2) calibration and LUCC impact analysis. K2 validation was performed using three other rainfall events. Calibration results showed excellent and very good fittings for r...

Prediction of highly non-linear behaviour of suspended sediment flow in rivers is of prime importance in environmental studies and watershed management. In this study, the predictive performance of artificial neural network (ANN) integrated with genetic algorithm (GA) was assessed. GA was used to optimize the parameters and architecture of the ANN....

Based on the Système Pour l'Observation de la Terre-5 imagery, two main techniques of classifying land-use categories in a tropical landscape are compared using two supervised algorithms: maximum likelihood classifier (MLC) and K-nearest neighbor object-based classifier. Nine combinations of scale level (SL10, SL30, and SL50) and the nearest neighb...

A single-date archived QuickBird satellite imagery and oil palm yield data collected over a 12-year time series were used to generate empirical oil palm yield models under Malaysian conditions. Vegetation indices and yield data were subject to correlation analysis, followed by regression modeling and model validation using standard metrics. Results...

Memarian, H., Balasundram, S. K., Abbaspour, K. C., Talib, J., Teh, C. B. S., & Alias, M. S. (2012). Soil and water assessment of a tropical watershed using SWAT. In W. K. Rasidah, A. Rosazlin, A. H. Osumanu, M. I. Fakhri, C. I. Fauziah, Z. Malik, A. Hamzah, R. Ahmad & J. Vijayanathan (Eds.), Proceedings of the Soil Science Conference of Malaysia 2...

In this study, the trends of water discharge and sediment load from three hydrometric stations over the past 25 years of development in the state of Selangor, Peninsular Malaysia, were analysed using the Mann-Kendall and Pettitt tests. Landscape metrics for establishing the relationship between land-use changes and trends of hydrological time serie...

Validity of CA-Markov in land use and cover change simulation was investigated at the Langat Basin, Selangor, Ma-laysia. CA-Markov validation was performed using validation metrics, allocation disagreement, quantity disagreement, and figure of merit in a three-dimensional space. The figure of merit, quantity error, and allocation error for total la...

Water resources management usually requires that hydraulic, ecological, and hydrological models be linked. The Hy-drologic Engineering Center River Analysis System (HEC-RAS) hydraulic model and the Hydrologic Engineering Center Geospatial River Analysis System (HEC-GEORAS), imitates flow and water profiles in the Neka river basin's downstream flood...

Prediction of highly non-linear behavior of suspended sediment flow in rivers has prime importance in environmental studies and watershed management. In this study, the predictive performance of two Artificial Neural Networks (ANNs), namely Radial Basis Function (RBF) and Multi-Layer Perceptron (MLP) were compared. Time series data of daily suspend...

The application of an event based physical model, KINEROS2, on a developed tropical watershed in Malaysia was evaluated. Three storm events in different intensities and durations were required for KINEROS2 (K2) calibration. K2 validation was done using two other rainfall events before and after the calibration year. Calibration results showed excel...

The application of an event based physical model, KINEROS2, on a developed tropical watershed in Malaysia was evaluated. Three storm events in different intensities and durations were required for KINEROS2 (K2) calibration. K2 validation was done using two other rainfall events before and after the calibration year. Calibration results showed excel...

Memarian, H., Balasundram, S. K., Teh, C. B. S., Alias, M. S., Abbaspour, K. C., & TALIB, J. (2011). KINEROS2 Application for soil erosion and sedimentation modeling in a watershed scale. In M. Sudin, A. B. Normah, M. B. Jalloh, C. I. Fauziah, M. Maid & J. Kodoh (Eds.), Soils 2011 Conference: Soil Fertility and Plantation Productivity, (pp. 77-87)....

GeoWEPP, an integration of WEPP and TOPAZ within a GIS interface, was used to predict sediment load and runoff at the Lui Watershed, Selangor, Malaysia. Input files for land cover, slope, climate, soil, and management were generated within GeoWEPP and WEPP interfaces and topographic data comprising 1017 hillslopes were parameterized using TOPAZ alg...

Erosion and sedimentation are the most complicated problems in hydrodynamic which are very important in water-related projects of arid and semi-arid basins. For this reason, the presence of suitable methods for good estimation of suspended sediment load of rivers is very valuable. Solving hydrodynamic equations related to these phenomenons and acce...