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Application of Artificial Neural Network for Forecasting Nitrate Concentration as a Water Quality Parameter: A Case Study of Feitsui Reservoir, Taiwan

Agricultural robots; Ammonia; Biochemical oxygen demand; Dissolved oxygen; Forecasting; Forestry; Nitrates; Nitrogen oxides; Potable water; Reservoirs (water); Water quality; Water resources; Accurate modeling; Artificial neural network models; Correlation coefficient; Hydro-power generation; Indust...

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Main Authors: Latif S.D., Azmi M.S.B.N., Ahmed A.N., Fai C.M., El-Shafie A.
Other Authors: 57216081524
Format: Article
Published: International Information and Engineering Technology Association 2023
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id my.uniten.dspace-25202
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spelling my.uniten.dspace-252022023-05-29T16:07:19Z Application of Artificial Neural Network for Forecasting Nitrate Concentration as a Water Quality Parameter: A Case Study of Feitsui Reservoir, Taiwan Latif S.D. Azmi M.S.B.N. Ahmed A.N. Fai C.M. El-Shafie A. 57216081524 57220031281 57214837520 57214146115 16068189400 Agricultural robots; Ammonia; Biochemical oxygen demand; Dissolved oxygen; Forecasting; Forestry; Nitrates; Nitrogen oxides; Potable water; Reservoirs (water); Water quality; Water resources; Accurate modeling; Artificial neural network models; Correlation coefficient; Hydro-power generation; Industrial activities; Nitrate concentration; Nitrogen dioxides; Water quality parameters; Neural networks Water resources play a vital role in various economies such as agriculture, forestry, cattle farming, hydropower generation, fisheries, industrial activity, and other creative activities, as well as the need for drinking water. Monitoring the water quality parameters in rivers is becoming increasingly relevant as freshwater is increasingly being used. In this study, the artificial neural network (ANN) model was developed and applied to predict nitrate (NO3) as a water quality parameter (WQP) in the Feitsui reservoir, Taiwan. For the input of the model, five water quality parameters were monitored and used namely, ammonium (NH3), nitrogen dioxide (NO2), dissolved oxygen (DO), nitrate (NO3) and phosphate (PO4) as input parameters. As a statistical measurement, the correlation coefficient (R) is used to evaluate the performance of the model. The result shows that ANN is an accurate model for predicting nitrate as a water quality parameter in the Feitsui reservoir. The regression value for the training, testing, validation, and overall are 0.92, 0.93, 0.99, and 0.94, respectively. � 2020 WITPress. All rights reserved. Final 2023-05-29T08:07:19Z 2023-05-29T08:07:19Z 2020 Article 10.18280/ijdne.150505 2-s2.0-85096549010 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096549010&doi=10.18280%2fijdne.150505&partnerID=40&md5=0ca579cbfe39e006944264548fbd0d8f https://irepository.uniten.edu.my/handle/123456789/25202 15 5 647 652 All Open Access, Bronze International Information and Engineering Technology Association Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Agricultural robots; Ammonia; Biochemical oxygen demand; Dissolved oxygen; Forecasting; Forestry; Nitrates; Nitrogen oxides; Potable water; Reservoirs (water); Water quality; Water resources; Accurate modeling; Artificial neural network models; Correlation coefficient; Hydro-power generation; Industrial activities; Nitrate concentration; Nitrogen dioxides; Water quality parameters; Neural networks
author2 57216081524
author_facet 57216081524
Latif S.D.
Azmi M.S.B.N.
Ahmed A.N.
Fai C.M.
El-Shafie A.
format Article
author Latif S.D.
Azmi M.S.B.N.
Ahmed A.N.
Fai C.M.
El-Shafie A.
spellingShingle Latif S.D.
Azmi M.S.B.N.
Ahmed A.N.
Fai C.M.
El-Shafie A.
Application of Artificial Neural Network for Forecasting Nitrate Concentration as a Water Quality Parameter: A Case Study of Feitsui Reservoir, Taiwan
author_sort Latif S.D.
title Application of Artificial Neural Network for Forecasting Nitrate Concentration as a Water Quality Parameter: A Case Study of Feitsui Reservoir, Taiwan
title_short Application of Artificial Neural Network for Forecasting Nitrate Concentration as a Water Quality Parameter: A Case Study of Feitsui Reservoir, Taiwan
title_full Application of Artificial Neural Network for Forecasting Nitrate Concentration as a Water Quality Parameter: A Case Study of Feitsui Reservoir, Taiwan
title_fullStr Application of Artificial Neural Network for Forecasting Nitrate Concentration as a Water Quality Parameter: A Case Study of Feitsui Reservoir, Taiwan
title_full_unstemmed Application of Artificial Neural Network for Forecasting Nitrate Concentration as a Water Quality Parameter: A Case Study of Feitsui Reservoir, Taiwan
title_sort application of artificial neural network for forecasting nitrate concentration as a water quality parameter: a case study of feitsui reservoir, taiwan
publisher International Information and Engineering Technology Association
publishDate 2023
_version_ 1806427837616357376
score 13.222552

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