Ronald Pelot

ORCID: 0000-0001-8837-0409
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About
Contact & Profiles
Research Areas
  • Maritime Navigation and Safety
  • Arctic and Russian Policy Studies
  • Oil Spill Detection and Mitigation
  • Facility Location and Emergency Management
  • Arctic and Antarctic ice dynamics
  • Marine and fisheries research
  • Marine animal studies overview
  • Evacuation and Crowd Dynamics
  • Ocean Acidification Effects and Responses
  • Vehicle Routing Optimization Methods
  • Atmospheric and Environmental Gas Dynamics
  • Occupational Health and Performance
  • Infrastructure Resilience and Vulnerability Analysis
  • Coastal and Marine Management
  • Tropical and Extratropical Cyclones Research
  • Disaster Management and Resilience
  • Risk Perception and Management
  • Identification and Quantification in Food
  • Marine Ecology and Invasive Species
  • Integrated Energy Systems Optimization
  • Hybrid Renewable Energy Systems
  • Remote-Sensing Image Classification
  • Maritime Ports and Logistics
  • Geographic Information Systems Studies
  • Risk and Safety Analysis

Dalhousie University
2015-2025

University of New Brunswick
2005

Queen's University
1999

American College of Surgeons
1999

In 2016, the world shipping fleet grew by 3.5%. Even if annual growth rate remains at its lowest since 2013, global situation is still in overcapacity (UNCTAD 2016). Ninety percent of trade, volume, done sea. Monitoring this helps with vessel navigation, informing to help avoid critical situations such as collisions, accidents leading oil pollution, grounding, or ships distress, but also because traffic management congested areas essential. For system wide management, regions MPAs (marine...

10.1007/s13437-018-0151-6 article EN cc-by WMU Journal of Maritime Affairs 2018-09-01

This study introduces an adaptive robust approach for optimally sizing hybrid renewable energy systems (HRESs) comprising solar panels, wind turbines, batteries, and a diesel generator. It integrates vector auto-regressive models (VAR) neural networks (NN) into dynamic uncertainty sets (DUSs) to address temporal auto-correlations cross-correlations among uncertain parameters like demand supply. These DUSs are compared static independent based on time series (TS) from the literature. An exact...

10.3390/en18051130 article EN cc-by Energies 2025-02-25

Abstract Aquatic non-indigenous species (NIS) pose significant threats to biodiversity, disrupting ecosystems and inflicting substantial economic damages across agriculture, forestry, fisheries. Due the fast growth of global trade transportation networks, NIS has been introduced spread unintentionally in new environments. This study develops a physics-informed model forecast maritime shipping traffic between port regions worldwide. The predicted information provided by these models, turn, is...

10.1038/s41598-024-67552-2 article EN cc-by Scientific Reports 2024-07-19

There is a long history of studying the relationship between weather and maritime activities. This article analyzes link relative incident rate (RIR) general factors within certain gridded areas time periods. The study area, which encompasses broad extent Atlantic Canadian waters, includes fishing incidents recorded by Coast Guard from 1997 to 1999. Methodologies used for traffic track generation in geographical information system aggregation all relevant data needed statistical analyses are...

10.1111/j.1539-6924.2009.01217.x article EN Risk Analysis 2009-03-03

Maritime traffic volume in the Arctic is growing for several reasons: climate change resulting less ice extent, duration, and thickness; economic drivers are inducing growth resource extraction traffic, community size (affecting resupply) adventure tourism. This dynamic situation, coupled with harsh weather, variable operating conditions, remoteness, lack of straightforward emergency response options, demand robust risk management processes. The requirements polar ship operations specified...

10.1088/1755-1315/34/1/012034 article EN IOP Conference Series Earth and Environmental Science 2016-04-01

In this paper, a multi-criteria analysis is performed on the location of Maritime Search and Rescue resources. Two well-known standard models (the maximal covering problem p-median problem) are modified applied in accordance with our characteristics. The study considers several distinct response vessel types different capabilities. Future incidents simulated based underlying distribution historical incidents. formulated solved using data from Atlantic region Canada. optimal solutions these...

10.1080/03155986.2017.1334322 article EN INFOR Information Systems and Operational Research 2017-06-08

Determining proper locations to establish emergency response facilities is a critical strategic element of pollution preparedness and planning for oil spills in remote areas. Many location-allocation models are available the literature, but Arctic contexts such as remoteness environmental sensitivities still inadequately investigated while building optimization models. A Mixed Integer Programming (MIP) based model developed devise problem: maximizing weighted spill coverage considering size,...

10.1016/j.multra.2023.100110 article EN cc-by Multimodal Transportation 2023-11-10

Multicriteria decision analysis (MCDA) has been applied to various energy problems incorporate a variety of qualitative and quantitative criteria, usually spanning environmental, social, engineering, economic fields. MCDA associated methods such as life‐cycle assessments cost‐benefit can also include risk address uncertainties in criteria estimates. One technology now being assessed help mitigate climate change is carbon capture storage (CCS). CCS new process that captures CO 2 emissions...

10.1111/risa.12211 article EN Risk Analysis 2014-04-28

Fishing activity detection is important for fishery management to maintain abundant oceans.This paper presents a novel approach identifying fishing activities from Automatic Identification System (AIS) data using Conditional Random Fields (CRFs).CRFs are popular solving structured prediction problems such as sequence labeling in natural language processing.To model the conditional probability distributions that can identify of vessel points, we treat attributes points observed variables and...

10.15439/2016f546 article EN cc-by Annals of Computer Science and Information Systems 2016-10-02

10.1016/j.patrec.2007.05.014 article EN Pattern Recognition Letters 2007-06-08
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