- Open Access
- Authors : Shyam Lochan Bora, Barlin Das, Junmi Gogoi, Kalyan Bhuyan, Partha Jyoti Hazarika
- Paper ID : IJERTCONV10IS07007
- Volume & Issue : PANE – 2021 (Volume 10 – Issue 07)
- Published (First Online): 28-06-2022
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
Analysis of Flood and Drought Years Between 1901-2020 in Seven Northeastern States of India
Shyam Lochan Bora
Department of Physics
D.D.R. College, Chabua Dibrugarh, Assam
Barlin Das Department of Physics Dibrugarh University Dibrugarh, Assam
Junmi Gogoi Department of Physics Dibrugarh University Dibrugarh, Assam
Kalyan Bhuyan Department of Physics Dibrugarh University Dibrugarh, Assam
Partha Jyoti Hazarika Department of Statistics Dibrugarh University Dibrugarh, Assam
Abstract- Northeast India (NEIN) is one of India's wettest areas. Due to its geographical location, this region is vulnerable to water-related calamities. Because of the heavy precipitation, NEIN is subject to severe natural disasters such as sporadic flooding, erosion, and so on. These natural disasters are common among the people of NEIN and act as a barrier to agricultural growth, economic development, and industry development. The presence of flood and drought years influenced the overall development of this region, which is heavily reliant on agriculture. This study used rainfall data from the National Water Informatics Centre India to investigate flood and drought years in seven Northeastern states, namely Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland, and Tripura, from 1901 to 2020. The Normalized index (NI) has been utilized to determine the flood and drought years. Flood and drought years are also classified based on their severities for each
-
STUDY AREA
Fig.1 Study area
state.
Keywords: Rainfall, Flood, Drought, Normalized Index (NI), NEI
-
INTRODUCTION
Climate variabilities like floods and droughts has a negative impact on agriculture, crops production and water purity specially over NEIN which is one of the wettest areas of India and is highly dependent on agriculture. This region is prone to flooding and other natural calamities due to its geographical location [1]. Because of climate change there is a noticeable change observed in rainfall pattern in this region which leads to the frequent occurrence of floods and droughts [2].
In that context, the present study aims to compute the flood and drought years using Indias water resources and Information systems rainfall data for the seven states of NEIN, namely Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland and Tripura to understand the relationship of extreme weather events like floods and droughts with the changing rainfall pattern.
he study area is located between 89º46' to 97 º 30 East longitudes and 21º57'to 29º30' North latitude, which consists of the seven states of NEI namely, Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland and Tripura. The area has a rich biodiversity, high rainfall, and high seismic activities and highly dependent on agriculture for livelihood. The climate of NEIN is subtropical, and the region is known for its wide range of weather and climate. The study area is shown in Fig.1
-
-
MATERIALS AND METHODS
In this study, the monthly rainfall data for 120 years (1901- 2020) have been collected for the seven states of Northeast India, from India's Water Resources and Information system (https://indiawris.gov.in). The month wise rainfall data of June, July, August, September, October (JJASO) have been converted into total monsoon rainfall during 1901-2020. The NI method has been used to compute the flood and drought years [3,4]. For this purpose, the mean monsoon (JJASO) rainfall of each year, the climatological mean and standard deviation of the same have been calculated for each of the seven states of NEIN. The
standardized values were used as the indices of meteorological drought and flood severity. The value of
0.99 to 0.99 are considered as normal condition, the value of 1.0 (+1.0) to 1.49 (+1.49) as moderate drought (flood) condition, the values of 1.5 (+1.5) to
1.99 (+1.99) are assigned as severe drought (flood) and the value below (above) 2 (+2) is extreme drought
(flood) [4]. The NI is given by,
NI = Ri R
(1)
Where, Ri is the total monsoon rainfall of ith year, R is the
climatological mean of monsoon rainfall and is the
standard deviation.
-
RESULTS AND DISCUSSION
The time series plots for total monsoon rainfall (JJASO) along with the mean monsoon rainfall for the states Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland and Tripura from 1901-2020 are shown in the Fig.2. The graphical representation of NI for the above mentioned states is shown in the Fig.3. The classification of flood and drought years based on the severities for the seven states of NEIN are given in the Table I and Table II respectively.
The occurrence of extreme flood events is found to be highest over Meghalaya followed by Arunachal Pradesh and Tripura and lowest extreme flood events has been reported over Nagaland. The severe flood events are highest over Meghalaya and Manipur followed by Arunachal and Tripura and lowest occurrence is in Assam and Nagaland. The moderate flood events are taking place in all the states where the highest occurrence has been observed in Assam and Nagaland shown in table 1.
Similarly, the extreme drought event is highest over Assam and Nagaland and there is no extreme drought event is observed over Meghalaya in the study period. Assam has showing maximum severe droughts event followed by Nagaland and Tripura whereas minimum severe drought events are obtained over Meghalaya and Mizoram. All the states have moderate drought events but among all states, Arunachal Pradesh has the maximum occurrence as shown in the table 2.
Fig.2 The time series plots for total monsoon rainfall (JJASO) along with the mean monsoon rainfall for the seven states of NEIN (1901-2020)
Fig.3 The graphical representation of NI for the seven states of NEIN (1901-2020)
TABLE I. Classification of floods based on their severities for the seven
States
Floods
Moderate
Severe
Extreme
Arunachal
1930, 1943,
1931,1934,
1932, 1935,
Pradesh
1944, 1945, 1946,
1936,1947,
1938, 1974
1958, 1970, 1987
1949, 1964
Assam
1911, 1917, 1927,
1902,1964,
1918, 1970,
1932, 1934, 1935,
1966
1974
1946, 1947, 1948,
1952, 1971, 1987
Manipur
1928, 1934, 1946,
1939, 1971,
1966, 1974,
1947, 1949, 1950,
1975, 1991,
2008
1977, 1982
2004, 2007,
2017
Meghalaya
1973, 1979, 1982,
1975, 1984,
1974, 1987,
1991, 1995, 1997,
1986, 1989,
1988, 1998,
2001, 2002, 2014,
1993, 2003,
2015
2017, 2019
2020
Mizoram
1947, 1952, 1980,
1990, 1993
2017, 2018
1987, 1989, 1991,
2001, 2008
2000, 2010, 2016
Nagaland
1901, 1903, 1911,
1947, 1950,
1966
1917, 1918, 1928,
1974
1929, 1934, 1939,
1944, 1946, 1952,
1990, 1992, 2010
Tripura
1905, 1915, 1923,
1910, 1956,
1976, 1988,
1928, 1930, 1934,
1974, 2004
1993, 2017
1936, 1959, 1960,
1975, 1984, 1989,
1991
states of NEIN (1901-2020)
TABLE II. Classification of droughts based on their severities for the seven states of NEIN (1901-2020)
States
Droughts
Moderate
Severe
Extreme
Arunachal Pradesh
1920, 1951, 1953,
1956,1978, 1992,
1996, 1997, 2001,
2007, 2008, 2013,
2018
1962, 1994,
2006, 2011
2012
Assam
1967, 1972, 1978,
1997, 2001, 2002,
2014, 2015
1994, 1996,
2009, 2012,
2013, 2016,
2018
1962, 2006,
2011
Manipur
1907, 1913, 1914,
1919, 1968, 1978,
1979, 1994, 2006,
2009, 2020
1904, 1909,
1981, 2014,
2019
1906, 1972
Meghalaya
1914, 1961, 1962,
1967, 1969, 2006
2011
Nil
Mizoram
1901, 1906, 1912,
1914, 1919, 1920,
1931, 1958, 1962,
1963, 1967, 1972
1968
1994
Nagaland
1920, 1951, 1962,
1970, 1980,,
1982, 1995, 1997,
2005, 2014, 2015,
2020
1983, 1985,
2002, 2006,
2012, 2019
1978, 1979,
1986
Tripura
1904, 1912, 1914,
1919, 1931, 1944,
1957, 1958, 1967,
1971, 1980, 1994,
2005, 2020
1943, 1950,
1972, 1981,
2006, 2013
1962
-
CONCLUSION
This study deals with the computation of flood and drought years in the seven states of NEIN for the period of 1901- 2020 using Normalized Index. The occurrence of extreme flood events is found to be highest in Meghalaya and the
occurrence of extreme drought events is found to be highest in case of Assam and Nagaland. The states having high rainfall years show more flood years and vice-versa. The occurrence of flood and drought years can also be related with the phenomena like ENSO.
ACKNOWLEDGEMENT
The authors are grateful to the India water resource and information system (https://indiawris.gov.in) for providing the data used in this study.
REFERENCES:
[1] S.K. Jain, V. Kumar and M. Saharia (2013) Analysis of rainfall and temperature trends in northeast India,. Int. J. Climatology, vol. 33, pp. 968-978, 2013. [2] B. Praveen, S. Talukdar, Shahfahad, S. Mahato, J. Mondal, P. Sharma, A. R. M. T. Islam and A. Rahman Analyzing trend and forecasting of rainfall changes in India using non parametrical and machine learning approaches, Scientific Reports, vol. 10, pp. 10347, 2020. [3] S.K. Kundu and C. Singh Computation of Flood and Drought Years over the North-West Himalayan Region Using Indian Meteorological Department Rainfall Data, int. Journal of geographical and environmental engineering, vol. 13, pp. 491 494, 2019. [4] I. Pal and A. Al-Tabbaa Regional changes of the severities of meteorological droughts and floods in India, J. Geogr. Sci., vol. 21 pp. 195206, 2011.