Najmeh Mahjouri

• Associate Professor
• K.N.Toosi University of Technology

The climate change and human activities significantly affect hydrological time series. Due to the mixed impacts of these factors on changing runoff time series, identifying the exact time of starting statistical change in the regime of runoff is usually complicated. The regional or spatial relationship among hydrologic time series as well as tempor...

This paper proposes a new framework for evaluating water and environmental resources carrying capacity (WERCC) based on the concept of resilience under uncertainty. First, several quantitative and qualitative criteria based on the seven principles of resilience and the Pressure-Support-State (PSS) framework are defined to incorporate the positive a...

In this paper, a new Groundwater Quantity-Quality-based Drought Index (GQQI) is developed based on multi-variate Copula analysis of groundwater quantity and quality indicators. For evaluating the developed index, its temporal and spatial distribution is studied and compared to those of some other indices, such as Standardized Salinity Index (SSI),...

It is the online supplementary materials of corresponding article: Zavareh, M. M. J., Mahjouri, N., Rahimzadegan, M., & Rahimpour, M. (2023). A drought index based on groundwater quantity and quality: Application of multivariate copula analysis. Journal of Cleaner Production, 137959. https://doi.org/10.1016/j.jclepro.2023.137959

This paper presents a new framework for modeling the bargaining process among stakeholders by coupling social choice and bargaining methods. Based on this framework, two methods of evolutionary bargaining coupled with Borda count (BBC) and evolutionary bargaining coupled with pairwise voting (BPV) are proposed, and the results of applying them to r...

In this paper, a new framework is developed for evaluating the resilience of urban drainage systems (UDSs) under floods by proposing and quantifying some technical and socio-ecological (SE) criteria. The proposed criteria are used to quantify the seven principles of building resilience in socio-ecological systems. The criteria mainly focus on prese...

Due to the adverse impacts of severe droughts on various aspects of human life and ecosystem services (ESs), the spatio-temporal assessment of the resilience of ESs under droughts is essential. In this paper, we propose a new methodology for assessing ESs-based resilience, taking into account the seven resilience principles: a) redundancy and diver...

In this paper, daily and monthly runoff discharge forecasts are improved by developing an ensemble model based on the Bayesian maximum entropy (BME), which integrates the outcomes of several single-source simulation models. The performance of the developed ensemble model in daily and monthly discharge forecasting is evaluated by comparing its resul...

In this paper, a new methodology is developed for urban runof management based on global sensitivity analysis of the storm water management model (SWMM) considering uncertainties. The variogram analysis of response surface (VARS) model is utilized for sensitivity analysis of the SWMM parameters by combining the runof simulation model of the SWMM wi...

In recent years, methods of evaluating the resilience of water resources management projects, especially during extreme conditions, have attracted researchers’ attention. In previous researched, the resilience assessment of water supply and demand scenarios throughout a river basin has not been adequately implemented. In addition, to decide on dete...

The study of interactions between surface and ground water is usually essential in water resources management. This paper studies the spatio-temporal pattern of surface and ground water interactions in Zarrinerud Basin, Iran, using a coupled SWAT-MODFLOW model. For this purpose, the physically-based semi-distributed model, SWAT, is linked to a phys...

In this paper, we present a new methodology for improving the results of seasonal drought forecasting by developing a Bayesian Maximum Entropy-based fusion (BMEF) model. The BMEF model combines the forecasts done by four individual (single-source) data-driven models to achieve better outcomes. Regional drought indices of Effective Drought Index (ED...

Reliable estimation of probable maximum precipitation (PMP) is critical to ensure the safety and resilience of communities. The aim of this study is to improve the estimation of 24-h PMP using ground-based and remotely sensed data, particularly over data-scarce regions. Gumbel copula, as a bivariate extreme value distribution based on a moisture ma...

In this paper, a new fuzzy group decision-making methodology which determines and incorporates negotiation powers of decision makers is developed. The proposed method is based on a combination of interval type-2 fuzzy sets and a multi-criteria decision making (MCDM) model, namely TOPSIS. To examine the applicability of the proposed methodology, it...

Most conventional hydrological time series models, used for forecasting or synthetic data generation, are based on the stationary hypothesis. Hydrologic variables such as surface runoff discharge exhibit non-stationary behavior due to the effects of climate change or human activities. In this paper, a new methodology is proposed to analyze the unce...

This paper proposes a novel stochastic framework for groundwater quantity and quality management in aquifers threatened by saltwater intrusion. In this methodology, a finite difference SEAWAT code is linked with an optimization model to solve density-dependent groundwater flow equations considering different patterns of pumping rates. To reduce the...

This paper presents an integrated framework for management of aquifers threatened by saltwater intrusion (SI). In this framework, SEAWAT model is used for simulating the density dependent groundwater flow. Three meta-models based on the artificial neural network (ANN), M5 tree and random subspaces model (RSM) are developed, as surrogate models for...

Climate change and human activities are two important factors affecting surface runoff. In water resource planning and management, it is usually important to separate the contribution of the mentioned factors to the runoff change. In this paper, a new methodology is proposed to obtain the relative impact of human activities and climate change on st...

Climate change and human activities are two important factors affecting surface runoff. In water resource planning and management, it is usually important to separate the contribution of the mentioned factors on runoff. In this study, the breakpoint of the annual time series of the observed runoff is estimated and the time series is divided into tw...

Climate change and human activities are two important factors affecting surface runoff. In water resource planning and management, it is usually important to separate the contribution of the mentioned factors on runoff. In this study, the breakpoint of the annual time series of the observed runoff is estimated and the time series is divided into tw...

In this paper, a fuzzy decision making methodology is proposed to find a socially optimal scenario for allocating effluent of wastewater treatment plants and urban and suburban runoffs to agricultural regions and recharging aquifers. The presented methodology named modified fuzzy social choice (MFSC) considers multi-stakeholder multi-criteria probl...

Coastal aquifers are usually exposed to saltwater intrusion. Therefore, groundwater extracted from these aquifers should be regulated considering their dimensions and effective parameters. In this paper, optimum discharge from a large number of exploitation wells is evaluated according to variations of width, length, and anisotropy coefficient in t...

Spatial and seasonal variations of curve number (CN) and initial abstraction ratio (λ) in a watershed can result in inaccurate runoff volume estimations when using the US Natural Resources Conservation Service (SCS-CN) method with constant values for these parameters. In this paper, parameters of CN and λ are considered as calibration parameters an...

Data inadequacy is a common problem in designing or updating groundwater monitoring systems. The developed methodologies for the optimal design of groundwater monitoring systems usually assume that there is a complete set of data obtained from existing monitoring wells and provide a revised configuration for the system by analyzing the current data...

Reusing treated wastewater for supplying water demands such as landscape and agricultural irrigation in urban and suburban areas has become a major water supply approach especially in regions struggling with water shortage. Due to limited available treated wastewater to satisfy all water demands, conflicts may arise in allocating treated wastewater...

In this paper, a new methodology is developed for optimal multiple-pollutant waste load allocation (MPWLA) in rivers considering the main existing uncertainties. An interval optimization method is used to solve the MPWLA problem. Different possible scenarios for treatment of pollution loads are defined and the corresponding treatment costs are take...

In this paper, a new methodology is developed for optimal multiple-pollutant waste load allocation (MPWLA) in rivers considering the main existing uncertainties. An interval optimization method is used to solve the MPWLA problem. Different possible scenarios for treatment of pollution loads are defined and corresponding treatment costs are taken in...

In this paper, a new methodology is developed for early detecting leakage from landfills to groundwater systems. The optimal number and locations of monitoring wells are determined with respect to maximizing the probability of detecting a pollution source and minimizing the total cost of monitoring system. The concentration of a water quality indic...

The aim of this paper is to propose a new geomorphologic method for deriving the complete shape of instantaneous unit hydrograph (IUH) in ungauged watersheds by calculating the mean travel time of excess rainfall in overland and channel segments. All required parameters for the calculations of travel time of sheet and channel flows for different hy...

In spite of the efficiency of the Artificial Neural Networks (ANNs) for modeling nonlinear and complicated rainfall-runoff (R-R) process, they suffer from some drawbacks. Support Vector Regression (SVR) model has appeared to be a powerful alternative to reduce some of these drawbacks while retaining many strengths of ANNs. In this paper, to form a...

In this paper, a waste load allocation model is developed which can incorporate uncertainties due to randomness as well as vagueness regarding some variables and parameters. A probabilistic water quality index is also presented and used in the waste load allocation model. For any discharger of the system, different wastewater treatment scenarios ar...

Abstract Analyzing groundwater hydrologic equations related to karstic aquifers and spring hydrograph simulation have become the focus of many researches. Having double or triple porosity structure, mixed flow nature, and varying conduit permeability have made these formations become complex heterogenic systems with great temporal and spatial hydro...

The aim of this study is to develop a fuzzy neural network-based support vector regression model (FNN-SVR) for mapping crisp-input and fuzzy-output variables. In this model, an artificial neural network (ANN) estimator based on multilayer perceptron (MLP) is considered as the kernel function of the SVR, whereas asymmetric triangular fuzzy H-level s...

In this paper, a methodology is proposed for evaluating sampling locations in an existing river water quality monitoring network. The Dynamic Factor Analysis is utilized to extract the independent dynamic factors from time series of water quality variables. Then, the entropy theory is applied to the independent dynamic factors to construct transinf...

In this paper, bargaining process between different stakeholders involved in a waste load allocation problem is simulated using the Fallback Bargaining (FB) concept. The paper considers two main parties in a waste load allocation problem. On the one hand, there are wastewater dischargers intending to minimize their treatment costs and on the other...

Water quality zoning is an important step for studying and evaluating surface and groundwater quality variations with time and space. It can also provide important information for developing efficient water quality management strategies. Most common methods for water quality zoning do not consider the uncertainties associated with water resources s...

This paper aims at evaluating and revising the spatial and temporal sampling frequencies of the water quality monitoring system of the Jajrood River in the Northern part of Tehran, Iran. This important river system supplies 23% of domestic water demand of the Tehran metropolitan area with population of more than 10 million people. In the proposed m...

In recent years, uneven distribution of available water resources as well as increasing water demands and overexploiting the water resources have brought severe need for transferring water from basins having sufficient water to basins facing water shortages. Therefore, optimal allocation of shared water resources in water transfer projects, conside...

In this paper, two cooperative and non-cooperative methodologies are developed for a large-scale water allocation problem in Southern Iran. The water shares of the water users and their net benefits are determined using optimization models having economic objectives with respect to the physical and environmental constraints of the system. The resul...

In this paper, a new game theoretic methodology is developed for interbasin water transfer management with regard to economic, equity, and environmental criteria. The main objective is to supply the competing users in a fair way, while the efficiency and environmental sustainability criteria are satisfied and the utilities of water users are incorp...

In this paper, an entropy-based approach is used for optimal location of water quality monitoring stations along the Jajrood River, upstream of the Latyan Dam in Iran. This important river-reservoir system supplies a considerable part of domestic water demand of the Tehran metropolitan area with a population of 10 million people. In the previous wo...

In this paper, the Discrete Entropy Theory is used for optimal locating of monitoring stations and determining the sampling frequencies for the monitoring system of the Jajrood River in the Northern part of Tehran, Iran. This important river system supplies a considerable part of the domestic water demand of the Tehran metropolitan area with a popu...

Most of the industrial solid wastes in the province of Khuzestan which are about 1750 tones per day are disposed without considering environmental issues. This paper introduces a framework for developing a master plan for industrial solid waste management. There are usually different criteria for evaluating the existing solid waste pollution loads...

Disposal of about 1750tons of solid wastes per day is the result of a rapid population growth in the province of Khuzestan in the south west of Iran. Most of these wastes, especially hospital solid wastes which have contributed to the pollution of the environment in the study area, are not properly managed considering environmental standards and re...

Rapid industrial growth in the province of Khuzestan in the south west of Iran has resulted in disposal of about 1750 tons of solid waste per day. Most of these industrial solid wastes including hazardous wastes are disposed without considering environmental issues. This has contributed considerably to the pollution of the environment. This paper i...

The city of Kashan is one of the major cities located in the central part of Iran next to great Kavir and has annual domestic water consumption close to 24 million cubic meters. The sewer system mainly consists of the traditional absorption wells and 70 percent of domestic allocated water returns to water resources as wastewater. Thus, the return f...

Karoon-Dez River basin, with an area of 67000 square kilometers, is located in southern part of Iran. This river system supplies the water demands of 16 cities, several villages, thousands hectares of agricultural lands, and several hydropower plants. The increasing water demands at the project development stage including agricultural networks, fis...