Seyyed Roohollah Masoomi

Mr. Seyyed Roohollah Masoomi

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
16 May 2025 in Chemengineering
Verified
Journal Article
Open access
PDF file
SMSeyyed Roohollah Masoomi
Seyyed Roohollah Masoomi
Mohammad GheibiMohammad Gheibi
Mohammad Gheibi
Reza MoezziReza Moezzi
Reza Moezzi
Kourosh BehzadianKourosh Behzadian
Kourosh Behzadian
AAAtiyeh Ardakanian
Atiyeh Ardakanian
AAAndres Annuk
Andres Annuk
Sludge management in petroleum refineries is a costly and complex challenge, posing environmental risks and health hazards for humans. This study explores sludge incineration as a viable energy recovery method, using a case study from an Iranian refinery. Analysis of 15 sludge samples via bomb calorimetry revealed an average heat value of 3100 kcal/kg, which declines with increased moisture content, while higher chemical oxygen demand (COD) enhances energy yield. Over five years, 4000 tonnes of accumulated sludge presented an energy potential of 12,400 Gcal. Statistical modeling, including polynomial regression and response surface methodology (RSM), mapped sludge storage profiles and predicted calorific values based on COD and moisture variations. The results indicate anaerobic digestion at greater depths reduces organic matter, lowering energy potential. Differential scanning calorimetry (DSC) analysis confirmed key thermal transitions, supporting sludge incineration as an effective waste-to-energy strategy. Implementing this approach within a circular economy framework can optimize refinery waste management while reducing pollution, though proper combustion byproduct control is essential for sustainability and regulatory compliance.

4 January 2026 in Pollutants
Verified
Journal Article
Open access
PDF file
SMSeyyed Roohollah Masoomi
Seyyed Roohollah Masoomi
Mohammadamin GanjiMohammadamin Ganji
Mohammadamin Ganji
AAAndres Annuk
Andres Annuk
MEMohammad Eftekhari
Mohammad Eftekhari
AMAamir mahmood
Aamir mahmood
Reza MoezziReza Moezzi
Reza Moezzi
Harmful algal blooms (HABs) represent an escalating threat in marine and coastal ecosystems, posing increasing risks to ecological balance, public health, and blue economy industries including fisheries, aquaculture, and tourism. This review examines the impact of climate change and anthropogenic pressures on the escalation of HAB occurrences, focusing especially on vulnerable regions in Mexico, which are the primary case study for this investigation. The methodological framework integrates HAB risk assessment (RA) methods found in the literature. Progress in detection and monitoring technologies—such as sensing, in situ sensor networks, and prediction tools based on machine learning—are reviewed for their roles in enhancing early-warning systems and aiding decision support. The key findings emphasize four linked aspects: (i) patterns of HAB risk in coastal zones, (ii) deficiencies and prospects in HAB-related policy development, (iii) how governance structures facilitate or hinder effective actions, and (iv) the growing usefulness of online monitoring and evaluation tools for real-time environmental observation. The results emphasize the need for coupled technological and governance solutions to reduce HAB impacts, protect marine biodiversity, and enhance the resilience of coastal communities confronting increasingly frequent and severe bloom events.