Non-Linear Autoregressive Dissolved Oxygen Prediction Model for Paddy Irrigation Channel

Aisha, Syafira Mohd; Thamrin, Norashikin M.; Ghazali, Muhammad Fariq; Ibrahim, Nik Nor Liyana Nik; Ali, Megat Syahirul Amin Megat

doi:10.18421/tem112-43

Cited by 3 publications

(4 citation statements)

References 28 publications

(33 reference statements)

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“…It is recommended to use purification facilities and systems for predicting possible deviations in the purity of water in the chemical, physical and biological characteristics, according to the standards for its use. The need to monitor the purity of water sources in order to avoid air, land or water pollution is of utmost importance [15].…”

Section: Related Workmentioning

confidence: 99%

Mobile Application for Managing an Automated Irrigation System

Stefanov,

Varbanova,

Stefanova

2024

TEM Journal

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The paper presents an automated irrigation system developed for the needs of private farms and non-profit organizations in the Balkans. Specific hardware and software components are combined for its construction and efficient management. The system is undergoing trials and test implementation among selected groups of customers. For the convenience of users, with the aim of saving time and costs, as well as for continuous remote access to the system, a mobile application has been developed for monitoring work processes, climatic conditions and water supplies. The methodology for the design and implementation of the proposed system and the mobile application for its control included preliminary test studies and discussions with potential customers in need of remotely controlled irrigation systems, including difficult-to-access areas. The authors of the paper present implemented solutions in the mobile application. This paper describes the basic processes of building the system, available hardware components, software management and user interface of the mobile application.

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Section: Related Workmentioning

confidence: 99%

Mobile Application for Managing an Automated Irrigation System

Stefanov,

Varbanova,

Stefanova

2024

TEM Journal

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“…The analysis of carbofuran byproducts is essential because they might be more stable and prevalent than the parent pesticides. This is especially important in tropical environments, where carbofuran breakdown at the application site can be relatively fast (Aisha et al 2022; Mustaffha and Sabran 2020).…”

Section: Degradation Of Carbofuran In Paddy Water Samplesmentioning

confidence: 99%

“…During photolysis, rice plants take up carbon dioxide from the water and release oxygen, which can increase the pH of the water. As it occurs mainly during daylight hours, the pH of paddy water tends to increase during the day and decrease at night (Aisha et al 2022;Mustaffha and Sabran 2020). Further, this degradation pattern is more prominent in the early growing season before the canopy blocks sunlight from reaching the paddy water.…”

Section: Determination Of Rate Of Degradation K and Half-life Of Carb...mentioning

confidence: 99%

A Study of the Photodegradation Carbofuran and its Metabolites in Paddy Water Samples

Baharudin

Ahmad

2023

J Exp Bio & Ag Sci

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Rice fields are one of the agricultural sectors in Malaysia that are heavily pesticide-treated. This study aimed to determine how carbofuran degrades in paddy water and how carbofuran metabolites such as carbofuran-phenol and 3-keto carbofuran reacted during the degradation. The experiment was conducted in two distinct conditions: the first water sample was exposed to sunlight, while the second water sample remained in the dark. During the 56 days of observation, the study discovered carbofuran decomposed slowly in both conditions. The water sample exposed to sunlight showed a faster degradation rate (0.04/day carbofuran) than the water kept in the dark (0.0186/day). The results also demonstrated that photolysis and hydrolysis enhanced the carbofuran degradation in the water. Both 3-keto carbofuran and carbofuran-phenol were detected as metabolites with low concentration levels, ranging from 0.03±0.301 to 0.23±0.142 ppm. These metabolites are considered 'emerging pollutants' as they can be detected in the environment and may post-treat as much as the parent compounds themselves. Hence, this study is trying to fill the research gap to assess the route and rate of carbofuran and its transformation products.

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“…Water having a pH range outside the recommended values show signs that water contains toxic metals or chemicals due to higher pH levels [21]. Literature survey [22] shows that dissolved oxygen in water is not much responsible for change in the pH of a solution as there is no physical-chemical connection was found between the two. Major focus in the present research work is on the study of correlation and variations between pH and DO, in Pre-Monsoon, Monsoon an Autumn season for surface river water.…”

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confidence: 99%

Seasonal Variations of pH and Dissolved Oxygen Concentrations in Major Rivers of Uttar Pradesh

Ghildyal,

Chaudhary

2023

J. Phys.: Conf. Ser.

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The variations in pH and Dissolve Oxygen (DO) concentrations were analysed in surface river water samples for three seasons Pre-Monsoon, Monsoon and Autumn (January to December 2022) for four major rivers Ganga, Yamuna, Gomti and Hindon flowing through Uttar Pradesh, India. For river Ganga pH range varied from 7.65 to 8.47 and DO varied from 6.4mg/l to 9.26mg/l. For river Yamuna pH range varied from 7.31 to 10.5 and DO varied from 0 to 8.1mg/l. Gomti river showed, pH range between 7.2 to 8.48, while DO varied from 0.63mg/l to 8.4mg/l. For, river Hindon, pH varied from 6.8 to 7.66 and DO observed was between 0 to 1.8mg/l. Correlation Matrix showed a significant weak positive correlation between pH and DO for all three seasons for rivers Ganga and Yamuna, while river Gomti showed a significant weak positive correlation in Pre-Monsoon and Monsoon season, and a weak negative correlation in Autumn lastly river Hindon showed weak negative correlation between pH and DO for Pre-Monsoon, and Monsoon and a weak positive significant correlation for Autumn season. Dissolved Oxygen was found in good concentration in river Ganga, and almost nilfor river Hindon. An increasing trend line for DO was observed for rivers Ganga and Yamuna while river Gomti showed a constant trend line lastly river Hindon showed almost nil DO. This study helped to identify the variations of pH and DO, and also to find the correlation between them for Pre-Monsoon, Monsoon and Autumn seasons for the river water samples. The study will prove helpful for designing of water treatment plants accompanying seasonal variations.

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Non-Linear Autoregressive Dissolved Oxygen Prediction Model for Paddy Irrigation Channel

Cited by 3 publications

References 28 publications

Mobile Application for Managing an Automated Irrigation System

Mobile Application for Managing an Automated Irrigation System

A Study of the Photodegradation Carbofuran and its Metabolites in Paddy Water Samples

Seasonal Variations of pH and Dissolved Oxygen Concentrations in Major Rivers of Uttar Pradesh

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