Browsing by Author "Dalhousie University"
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Item Detection of cyanotoxins in Lake Torment (Nova Scotia, Canada)(Lviv Politechnic Publishing House, 2019-02-26) Hushchyna, Kateryna; McLellan, Kayla; Nguyen-Quang, Tri; Dalhousie UniversityThis paper will update some information related to cyanotoxins detected in lake Torment, a recreational freshwater body in Nova Scotia, Canada. The goal of our paper is to present the detected toxins released by Toxic Algal Blooms and introducing the method of measurement by using the ELISA test. The results can show a very potential approach of toxin detection which could be applied in Ukraine or other countries where cyanotoxin detection in fresh and marine water ecosystems are still not well developed.Item 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 UniversityMathematical 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.Item The application of Trindex to predict harmful algal blooms in lake torment (Nova scotia, Canada)(Видавництво Львівської політехніки, 2020-02-24) Hushchyna, Kateryna; Bao, Quoc Vo; Tri, Nguyen-Quang; Dalhousie UniversityThis paper introduces the Threshold Index (hereafter called TRINDEX) for the Harmful Algal Bloom (HAB) prediction in lake Torment (Nova Scotia province, Canada). TRINDEX was suggested via the logarithmic transformation and then the thresholds of bloom pattern were established by the discrimination test named the Receiver Operating Characteristic curve (ROC). The cohort studies will be also presented to show how accurate the bloom prediction when using TRINDEX in comparing to the real observations.