Comprehensive model of environmental degradation assessment.

This study explores the development of a comprehensive techno-economic model of environmental degradation based on the ReCiPe2016 approach named Financial Developed ReCiPe (FDR). The FDR considers cause-and-effect pathways of environmental degradation by ocean acidification, floods, acid rain, malnutrition, forest destruction, and waste more than the ReCiPe2016 in the midpoint and the environmental properties in the endpoint by considering tourism potential and intergenerational benefits. This model quantifies environmental degradation by the functions of fate factors (FF), effect factors (EF), exposure factors (XF), and economic impacts.

Human health risk of nitrate in groundwater of Tehran-Karaj plain, Iran.

Groundwater pollution by nitrate has is a major concern in the Tehran-Karaj aquifer, Iran, where the wells provide up to 80% of the water supply for a population of more than 18 million-yet detailed human health risks associated with nitrate are unknown due to the lack of accessible data to adequately cover the aquifer in both place and time. Here, using a rich dataset measured annually in more than 75 wells, we mapped the non-carcinogenic risk of nitrate in the aquifer between 2007 and 2018, a window with the most extensive anthropogenic activities in this region. Nitrate concentration varied from ~ 6 to ~ 150 mg/L, around three times greater than the standard level for drinking use, i.

Integrated model for land-use transformation analysis based on multi-layer perception neural network and agent-based model.

The efficacy of land-use changes on aquatic ecosystems has been extensively studied in recent decades. Water resource management needs to understand the relationship between land-use change patterns and water quality, especially in urban areas. Hence, recognizing spatial-temporal changes in land use is required for sustainable development and proper water resource management.

Optimization of influential parameters of hydrocarbon recovery from waste oily sludge by solvent extraction using solvent blend.

The influence of experimental factors in solvent extraction for hydrocarbon recovery from oil sludge was investigated using an orthogonal experimental design. The results indicated that temperature, solvent type, solvent blend, solvent to sludge ratio, and treatment duration had significant effects on hydrocarbon recovery. In this investigation, a response surface methodology used to optimize the conditions required to recover hydrocarbons from oily sludge.

Study of speciation and spatial variation of pollutants in Anzali Wetland (Iran) using linear regression, Kriging and multivariate analysis.

Multivariate statistical techniques and geostatistical methods are among the important tools used in surface water quality management. They are widely used in interpreting data, identifying the pollution sources, understanding the spatial variation of parameters, and determining the places of monitoring stations. Therefore, in this study, spatial variation of water quality and pollutants in the Anzali Wetland water (Iran) was evaluated using multivariate statistical and Kriging methods.

Conceptual change of disaster management models: A thematic analysis.

Different models have been proposed for disaster management by researchers and agencies. Despite their efficiency in some locations, disasters are still a fundamental challenge in the way of sustainable development. The purpose of this research is developing a comprehensive conceptual model for disaster management using thematic analysis.

Disaster Management Structure of Universities: Case Study of the Central Campus of the University of Tehran.

Objective: Research on the disaster management plans of renowned universities worldwide shows that such plans are generally compiled in 3 categories: structural, nonstructural, and organizational sections. The importance of earthquakes in Tehran and the high vulnerability of the University of Tehran to earthquakes encouraged us to challenge the university's plans concerning disaster management.

Methods: An initial attempt was made to analyze the disaster management of 23 renowned universities worldwide and their structure compared with the present organizational structure of the University of Tehran.

Mathematical modeling in municipal solid waste management: case study of Tehran.

Background: Solid Waste Management (SWM) in metropolises with systematic methods and following environmental issues, is one of the most important subjects in the area of urban management. In this regard, it is regarded as a legal entity so that its activities are not overshadowed by other urban activities. In this paper, a linear mathematical programming model has been designed for integrated SWM.

Temporary site selection and decision-making methods: a case study of Tehran, Iran.

Decisions on selecting an appropriate site for temporary shelter used to be taken in a limited amount of time after a disaster. The need for a systematic method in this area inspired the MADM (multi-attribute decision making) for complex disaster management decisions. This research proposes a model for appropriate and systematic site selection for temporary shelters, before an earthquake, using a geographical information system and MADM based on an earthquake damage assessment.