K. Sahu, S. Chandniha, Manish Kumar Nema, G. K. Das, Haritha Lekshmi V., Pratibha Wadware
{"title":"利用印度中部一个邦的趋势分析,确定长期降雨量的变化水平","authors":"K. Sahu, S. Chandniha, Manish Kumar Nema, G. K. Das, Haritha Lekshmi V., Pratibha Wadware","doi":"10.2166/wcc.2023.047","DOIUrl":null,"url":null,"abstract":"\n \n Rainfall is the key weather element which regulates the hydrological cycle, availability of water resources and crop production. In this study, spatial and temporal variability of rainfall has been investigated on seasonal and annual time scales of 149 blocks of Chhattisgarh State using 120 years (1901–2020) of rainfall data. Non-parametric, and Theil and Sen's slope estimator were used to identify possible trends and ascertain the variability in the magnitude. The results revealed that there exists a well-marked spatial variability in rainfall over Chhattisgarh in annual and seasonal time scales. Out of 149 blocks a significant negative rainfall was noticed in 105 blocks. Annual rainfall showed a significant positive trend in a few blocks like Bhopalpattnam, Bijapur, Usur, Konta. A similar pattern of trend was noticed in monsoon season. The results of the study demand the urgent need to formulate policies and strategies for water resource management and planning. The blocks which showed the positive rainfall trends can be identified to intensify the cultivation of more water requiring crops based on the suitability to that region. The findings of this study can be used as valuable information for crop planning, policy-making and preparation of contingency plans.","PeriodicalId":49150,"journal":{"name":"Journal of Water and Climate Change","volume":"32 21","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Level long-term rainfall variability using trend analysis in a state of central India\",\"authors\":\"K. Sahu, S. Chandniha, Manish Kumar Nema, G. K. Das, Haritha Lekshmi V., Pratibha Wadware\",\"doi\":\"10.2166/wcc.2023.047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n \\n Rainfall is the key weather element which regulates the hydrological cycle, availability of water resources and crop production. In this study, spatial and temporal variability of rainfall has been investigated on seasonal and annual time scales of 149 blocks of Chhattisgarh State using 120 years (1901–2020) of rainfall data. Non-parametric, and Theil and Sen's slope estimator were used to identify possible trends and ascertain the variability in the magnitude. The results revealed that there exists a well-marked spatial variability in rainfall over Chhattisgarh in annual and seasonal time scales. Out of 149 blocks a significant negative rainfall was noticed in 105 blocks. Annual rainfall showed a significant positive trend in a few blocks like Bhopalpattnam, Bijapur, Usur, Konta. A similar pattern of trend was noticed in monsoon season. The results of the study demand the urgent need to formulate policies and strategies for water resource management and planning. The blocks which showed the positive rainfall trends can be identified to intensify the cultivation of more water requiring crops based on the suitability to that region. The findings of this study can be used as valuable information for crop planning, policy-making and preparation of contingency plans.\",\"PeriodicalId\":49150,\"journal\":{\"name\":\"Journal of Water and Climate Change\",\"volume\":\"32 21\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2023-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Water and Climate Change\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.2166/wcc.2023.047\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Water and Climate Change","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.2166/wcc.2023.047","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"WATER RESOURCES","Score":null,"Total":0}
Level long-term rainfall variability using trend analysis in a state of central India
Rainfall is the key weather element which regulates the hydrological cycle, availability of water resources and crop production. In this study, spatial and temporal variability of rainfall has been investigated on seasonal and annual time scales of 149 blocks of Chhattisgarh State using 120 years (1901–2020) of rainfall data. Non-parametric, and Theil and Sen's slope estimator were used to identify possible trends and ascertain the variability in the magnitude. The results revealed that there exists a well-marked spatial variability in rainfall over Chhattisgarh in annual and seasonal time scales. Out of 149 blocks a significant negative rainfall was noticed in 105 blocks. Annual rainfall showed a significant positive trend in a few blocks like Bhopalpattnam, Bijapur, Usur, Konta. A similar pattern of trend was noticed in monsoon season. The results of the study demand the urgent need to formulate policies and strategies for water resource management and planning. The blocks which showed the positive rainfall trends can be identified to intensify the cultivation of more water requiring crops based on the suitability to that region. The findings of this study can be used as valuable information for crop planning, policy-making and preparation of contingency plans.
期刊介绍:
Journal of Water and Climate Change publishes refereed research and practitioner papers on all aspects of water science, technology, management and innovation in response to climate change, with emphasis on reduction of energy usage.