Browsing by Author "Nadeem, Muhammad"

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    Mathematical simulation for algal growth in the water reservoirs of Moncton city (New Brunswick, Canada) by the supervised learning classifier
    (Lviv Politechnic Publishing House, 2018-02-01) Sabir, Qurat-Ul An; Nadeem, Muhammad; Nguyen-Quang, Tri; Dalhousie University
    Mathematical model is a good approach to deal with the coupling effects of governing parameters in algal bloom growth. Among manymodels to deal with combining factors and data-based supervised learning classifiers, the Artificial Neural Network (ANN) has the most significant impact on the development of bloom pattern. The objective of this paper is to use the Artificial Neural Network (ANN) model to simulate the growth of harmful algae under environmental factors that can lead to bloom pattern in two reservoirs of Moncton city (Canada) with the collected data fromtwo years of observation 2016–2017.
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    The first step to sketch the spatio-temporal evolution of biochemical and physical parameters involving in the Harmful Algal Blooms (HAB) in Mattatall Lake (Nova Scotia, Canada)
    (Publishing House of Lviv Polytechnic National University, 2016) Nguyen-Quang, Tri; Lieou, Kien-Chinh; Hushchyna, Kateryna; Nguyen, Tri-Dung; Sharifi Mood, Negar; Nadeem, Muhammad; McLellan, Kayla; Murdymootoo, Kalaivani; Merks, Emily; Hirtle, Rachel
    Many watercourses in Nova Scotia (Canada) have recently had algal blooms in a surprisingly increasing way in frequency and diversity without any good understanding or explanation about causes and effects. The blooms triggered in Mattatall Lake (Wentworth, Nova Scotia) have many particular aspects: toxic species domination, nutrients increasing on a monthly basis, and blooms that co-exist with icy conditions. In this paper, we suggest an approach to create a map system with an appropriate interpolation and validation of necessary data in order to deal with this issue in Mattatall Lake and to contribute to the analysis framework and management plan on the entire area. Our long-term objective is aiming to suggest a modeling process for the entire watershed.