Muhammad Nasri Nasehir Khan , Mohd Remy Rozainy Mohd Arif Zainol , Mohamad Firdaus Mohamad Yusop , Mohd Azmier Ahmad , Muhamad Faizal Pakir Mohamed Latiff
{"title":"量化影响:天气和稻田活动对稻田出水水质的统计分析","authors":"Muhammad Nasri Nasehir Khan , Mohd Remy Rozainy Mohd Arif Zainol , Mohamad Firdaus Mohamad Yusop , Mohd Azmier Ahmad , Muhamad Faizal Pakir Mohamed Latiff","doi":"10.1016/j.kjs.2025.100471","DOIUrl":null,"url":null,"abstract":"<div><div>Paddy cultivation is a cornerstone of global agriculture and food production while supporting rural economies worldwide. Nonetheless, the intensive farming methods have adversely impacted water quality due to the poor effluent quality. The objective of this study is to investigate the influence of weather conditions in terms of precipitation and stages of paddy farming activities on the quality of effluent discharged from paddy fields. A holistic approach was applied to integrate the paddy activities and weather variability into the analysis, uncovering nuanced relationships that have previously been overlooked. The water quality parameters, including biochemical oxygen demand (BOD), ammoniacal nitrogen (NH<sub>3</sub>–N), total suspended solids (TSS), total phosphorus (TP), total nitrogen (TN), arsenic (As), and aluminium (Al), were comprehensively assessed with statistical methods such as t-tests and analysis of variance (ANOVA). The implementation of statistical methods such as t-tests and ANOVA provides a robust framework for quantifying these relationships and determining their significance. Results showed that the stages of paddy farming activities influenced all the measured water quality parameters statistically significantly, with p-values less than 0.05 obtained for all the parameters. The weather conditions did not significantly influence the quality of the paddy fields effluent. However, the effect of weather conditions with the combination of paddy farming activities is statistically significant towards NH<sub>3</sub>–N, TSS, and Al with a p-value less than 0.05. This research contributes valuable insights to the scientific understanding of paddy agriculture's environmental footprint and informs evidence-based policies for promoting sustainable agriculture and preserving water quality worldwide. By understanding how weather patterns and farming practices impact effluent quality, strategies to mitigate environmental risks and optimize water management practices in paddy cultivation areas can be developed.</div></div>","PeriodicalId":17848,"journal":{"name":"Kuwait Journal of Science","volume":"53 1","pages":"Article 100471"},"PeriodicalIF":1.1000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantifying the impact: Statistical analysis of weather and paddy activities on paddy effluent quality\",\"authors\":\"Muhammad Nasri Nasehir Khan , Mohd Remy Rozainy Mohd Arif Zainol , Mohamad Firdaus Mohamad Yusop , Mohd Azmier Ahmad , Muhamad Faizal Pakir Mohamed Latiff\",\"doi\":\"10.1016/j.kjs.2025.100471\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Paddy cultivation is a cornerstone of global agriculture and food production while supporting rural economies worldwide. Nonetheless, the intensive farming methods have adversely impacted water quality due to the poor effluent quality. The objective of this study is to investigate the influence of weather conditions in terms of precipitation and stages of paddy farming activities on the quality of effluent discharged from paddy fields. A holistic approach was applied to integrate the paddy activities and weather variability into the analysis, uncovering nuanced relationships that have previously been overlooked. The water quality parameters, including biochemical oxygen demand (BOD), ammoniacal nitrogen (NH<sub>3</sub>–N), total suspended solids (TSS), total phosphorus (TP), total nitrogen (TN), arsenic (As), and aluminium (Al), were comprehensively assessed with statistical methods such as t-tests and analysis of variance (ANOVA). The implementation of statistical methods such as t-tests and ANOVA provides a robust framework for quantifying these relationships and determining their significance. Results showed that the stages of paddy farming activities influenced all the measured water quality parameters statistically significantly, with p-values less than 0.05 obtained for all the parameters. The weather conditions did not significantly influence the quality of the paddy fields effluent. However, the effect of weather conditions with the combination of paddy farming activities is statistically significant towards NH<sub>3</sub>–N, TSS, and Al with a p-value less than 0.05. This research contributes valuable insights to the scientific understanding of paddy agriculture's environmental footprint and informs evidence-based policies for promoting sustainable agriculture and preserving water quality worldwide. By understanding how weather patterns and farming practices impact effluent quality, strategies to mitigate environmental risks and optimize water management practices in paddy cultivation areas can be developed.</div></div>\",\"PeriodicalId\":17848,\"journal\":{\"name\":\"Kuwait Journal of Science\",\"volume\":\"53 1\",\"pages\":\"Article 100471\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2025-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Kuwait Journal of Science\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2307410825001154\",\"RegionNum\":4,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Kuwait Journal of Science","FirstCategoryId":"103","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2307410825001154","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Quantifying the impact: Statistical analysis of weather and paddy activities on paddy effluent quality
Paddy cultivation is a cornerstone of global agriculture and food production while supporting rural economies worldwide. Nonetheless, the intensive farming methods have adversely impacted water quality due to the poor effluent quality. The objective of this study is to investigate the influence of weather conditions in terms of precipitation and stages of paddy farming activities on the quality of effluent discharged from paddy fields. A holistic approach was applied to integrate the paddy activities and weather variability into the analysis, uncovering nuanced relationships that have previously been overlooked. The water quality parameters, including biochemical oxygen demand (BOD), ammoniacal nitrogen (NH3–N), total suspended solids (TSS), total phosphorus (TP), total nitrogen (TN), arsenic (As), and aluminium (Al), were comprehensively assessed with statistical methods such as t-tests and analysis of variance (ANOVA). The implementation of statistical methods such as t-tests and ANOVA provides a robust framework for quantifying these relationships and determining their significance. Results showed that the stages of paddy farming activities influenced all the measured water quality parameters statistically significantly, with p-values less than 0.05 obtained for all the parameters. The weather conditions did not significantly influence the quality of the paddy fields effluent. However, the effect of weather conditions with the combination of paddy farming activities is statistically significant towards NH3–N, TSS, and Al with a p-value less than 0.05. This research contributes valuable insights to the scientific understanding of paddy agriculture's environmental footprint and informs evidence-based policies for promoting sustainable agriculture and preserving water quality worldwide. By understanding how weather patterns and farming practices impact effluent quality, strategies to mitigate environmental risks and optimize water management practices in paddy cultivation areas can be developed.
期刊介绍:
Kuwait Journal of Science (KJS) is indexed and abstracted by major publishing houses such as Chemical Abstract, Science Citation Index, Current contents, Mathematics Abstract, Micribiological Abstracts etc. KJS publishes peer-review articles in various fields of Science including Mathematics, Computer Science, Physics, Statistics, Biology, Chemistry and Earth & Environmental Sciences. In addition, it also aims to bring the results of scientific research carried out under a variety of intellectual traditions and organizations to the attention of specialized scholarly readership. As such, the publisher expects the submission of original manuscripts which contain analysis and solutions about important theoretical, empirical and normative issues.