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Assessment of the Relationship Between Rainfall Trend and Flood Impact: A Case Study of Tinsukia District, Assam

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Intelligent Data Engineering and Analytics

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 266))

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Abstract

This study analyzed the trends of extreme rainfall events in Tinsukia district of Assam, India, for the period of 2001–2020. The trends were obtained using gridded daily rainfall data (Source: IMD). It was then converted into monthly and seasonal wise. Deciphering the extreme rainfall trend may help in indicative assessment of its impact on the lives of people. Extreme weather, such as heavy rainfall and high winds, can threaten people, property, and environment. In addition, changes in rainfall patterns can change water levels in the water bodies. It can also lead to loss of biodiversity due to aberration in rainfall events. Furthermore, hydrological disasters are frequent in the Tinsukia district due to heavy rainfall within a short period of time. Hence, it is important to study the rainfall trend in the study area and its possible relationship with flood impact variable. It has been observed that there is a likelihood that extreme rainfall may significantly influence the impact intensity of flood. The highest number of extreme rain events has been observed in June, followed by July and August.

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References

  1. Nandargi, S., Gaur, A., Mulye, S.S.: Hydrological analysis of extreme rainfall events and severe rainstorms over Uttarakhand India. Hydrol. Sci. J. 61(12), 2145–2163 (2016). https://doi.org/10.1080/02626667.2015.1085990

    Article  Google Scholar 

  2. Varikoden, H., Ravadekar, J.V.: On the extreme rainfall events during the southwest monsoon season in northeast regions of the Indian subcontinent. Meteorol. Appl. (2019). https://doi.org/10.1002/met.1822

    Article  Google Scholar 

  3. Praveen, B., Talukdar, S., Shahfahad, Mahato, S., Mondal, J., Sharma, P., Rahman, A.: Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches. Sci. Rep. 10(1), (2020). https://doi.org/10.1038/s41598-020-67228-7

  4. Yazid, M., Humphries, U.: Regional observed trends in daily rainfall indices of extremes over the Indochina Peninsula from 1960 to 2007. Climate 3(1), 168–192 (2015). https://doi.org/10.3390/cli3010168

    Article  Google Scholar 

  5. Jin, M., Li, Y., Su, D.: Urban-Induced mechanisms for an extreme rainfall event in Beijing China: a satellite perspective. Climate 3(1), 193–209 (2015). https://doi.org/10.3390/cli3010193

    Article  Google Scholar 

  6. Lazzari, M., Piccarreta, M.: Landslide disasters triggered by extreme rainfall events: the case of Montescaglioso (Basilicata, Southern Italy). Geosciences 8(10), 377 (2018). https://doi.org/10.3390/geosciences8100377

    Article  Google Scholar 

  7. Roxy, M.K., Ghosh, S., Pathak, A., Athulya, R., Mujumdar, M., Murtugudde, R., Rajeevan, M.: A threefold rise in widespread extreme rain events over central India. Nat. Commun. 8(1), (2017). https://doi.org/10.1038/s41467-017-00744-9

  8. Das, D.: Changing climate and its impacts on Assam, Northeast India. Bandung: J. Global South 2(1) (2015). https://doi.org/10.1186/s40728-015-0028-4

  9. Song, Y., Park, M.: A study on setting disaster-prevention rainfall by rainfall duration in Urban Areas considering natural disaster damage: focusing on South Korea. Water 12(3), 642 (2020). https://doi.org/10.3390/w12030642

    Article  Google Scholar 

  10. Trifonova, T., Trifonov, D., Arakelian, S.: 2015 Disastrous floods in Louisiana, USA, and Assam, India: Groundwater impact on the water balance estimation. Hydrology 3(4), 41 (2016). https://doi.org/10.3390/hydrology3040041

    Article  Google Scholar 

  11. Tripathi, R.: India: Assam floods and landslides—information bulletin No. 1. ReliefWeb (2019). https://reliefweb.int/sites/reliefweb.int/files/resources/IBINfl200719.pdf

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Acknowledgements

Authors are thankful to the Leads Group chairman for providing facilities and opportunities to perform research investigation in the Leads Research Laboratory. Moreover, authors are thankful to the anonymous reviewers for their constructive inputs and suggestions which will definitely be instrumental be in refining the manuscript.

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Correspondence to Govind Sharma .

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Sharma, G. (2022). Assessment of the Relationship Between Rainfall Trend and Flood Impact: A Case Study of Tinsukia District, Assam. In: Satapathy, S.C., Peer, P., Tang, J., Bhateja, V., Ghosh, A. (eds) Intelligent Data Engineering and Analytics. Smart Innovation, Systems and Technologies, vol 266. Springer, Singapore. https://doi.org/10.1007/978-981-16-6624-7_43

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