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Farzad Piadeh

Researcher at Amirkabir University of Technology

Publications -  11
Citations -  150

Farzad Piadeh is an academic researcher from Amirkabir University of Technology. The author has contributed to research in topics: Environmental science & Flood myth. The author has an hindex of 4, co-authored 4 publications receiving 75 citations.

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Reliability assessment for hybrid systems of advanced treatment units of industrial wastewater reuse using combined event tree and fuzzy fault tree analyses

TL;DR: Results in this study show that selecting ATUs with higher removal efficiencies or rate of acceptable scenarios to form a hybrid ATU system cannot necessarily lead to a more reliable hybrid system without performing suggested FTA and ETA in this paper.
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Present situation of wastewater treatment in the Iranian industrial estates: Recycle and reuse as a solution for achieving goals of eco-industrial parks

TL;DR: In this article, the authors presented an overview on the wastewater management at the Iranian industrial estates for the purpose of achieving the goal of eco-industrial parks by describing the present situation and discussing the experiences of wastewater reuse systems for irrigation and industrial purposes.
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A Critical Review of Real-Time Modelling of Flood Forecasting in Urban Drainage Systems

TL;DR: In this article , the authors present a comprehensive review of the current state-of-the-art and future trends of real-time modelling of flood forecasting in urban drainage systems.
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Assessment of sustainability of a hybrid of advanced treatment technologies for recycling industrial wastewater in developing countries: Case study of Iranian industrial parks

TL;DR: In this article, the authors proposed a framework for assessing the sustainability of advanced hybrid treatment systems through three major steps: (1) describing feasible alternatives and defining evaluation procedure (modified analytical hierarchy process); (2) elaborating the decision making process including 32 integrated indices (8 sub-criteria and 4 criteria) and defining five possible scenarios and finally (3) prioritizing the alternatives, finding the best answer and making a sensitive analysis.
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A Comprehensive Framework for Risk Probability Assessment of Landfill Fire Incidents Using Fuzzy Fault Tree Analysis

TL;DR: In this paper , the authors present a new framework for risk probability evaluation of major fires in landfills using the fuzzy fault tree analysis, which starts with construction of the fault tree of landfill fire comprised of 38 basic and 22 intermediate events with corresponding type of faults under managerial, executive, human, and environmental conditions.