TREND ANALYSIS OF METEOROLOGICAL DROUGHT USING STANDARDIZED PRECIPITATION INDEX FOR ALLAHABAD

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International Journal of Civil Engineering and Technology (IJCIET) Volume 9, Issue 8, August 218, pp. 1458 1465, Article ID: IJCIET_9_8_147 Available online at http://www.iaeme.com/ijciet/issues.asp?jtype=ijciet&vtype=9&itype=8 ISSN Print: 976-638 and ISSN Online: 976-6316 IAEME Publication Scopus Indexed TREND ANALYSIS OF METEOROLOGICAL DROUGHT USING STANDARDIZED PRECIPITATION INDEX FOR ALLAHABAD Mohammed Shahique Sheeraz M.Tech. Student, Department of Civil Engineering, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, India Chandra Shekhar Mishra Asst. Professor, Department of Civil Engineering, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, India R.K. Pandey Professor, Department of Civil Engineering, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, India ABSTRACT Climate variability is the phenomenon where different factors can cause temperature to fluctuate around the average without causing the long-term average itself to change. The present study is carried out in order to study the statistical trend analysis of precipitation along with study of abnormal wetness and dryness over Allahabad district, India. A detailed investigation comprising of Standard Precipitation Index (SPI) of Allahabad district is carried out using monthly precipitation data over the period of 196717. For Allahabad district standard precipitation index (SPI) values range from +.21 to 1.91 indicating variation in precipitation over the period of 196717. Key words: Allahabad, Climate Change, Drought, RainfallTrend Analysis, Standardized Precipitation Index Cite this Article: Mohammed Shahique Sheeraz, Chandra Shekhar Mishra and R.K. Pandey, Trend Analysis of Meteorological Drought Using Standardized Precipitation Index for Allahabad. International Journal of Civil Engineering and Technology, 9(8), 218, pp. 1458465. http://www.iaeme.com/ijciet/issues.asp?jtype=ijciet&vtype=9&itype=8 1. INTRODUCTION The distribution of weather patterns over periods ranging from seasons to several years (below normal) is Climate variability, while any changes in the distribution of weather patterns over periods ranging from decades to millions of years is climate change. As India is supporting 16.8% of world s population on just 2.3% of global land, with 65% of the net http://www.iaeme.com/ijciet/index.asp 1458 editor@iaeme.com

Trend Analysis of Meteorological Drought Using Standardized Precipitation Index for Allahabad cultivated area under rain fed agriculture hence the climate variability and climate change studies bear crucial important for Indian subcontinent regions [Handbook of Agriculture, 26]. Therefore in this present study, main important climatic variable i.e. precipitation is focused to study about the relationship between climate variability and hydrology in the study area which could help in the development of sustainable water resources to agricultural sector. It is important to have a basic knowledge of precipitation distribution during individual months, seasons and year for the optimum development of water resources and for planning of agricultural operations over the given region [Wagesho et al., 212].Any changes in the rainfall pattern may lead to natural calamities like drought and flood conditions. Drought can be categorized as insidious natural hazard that results from lower levels of precipitations than what is considered normal. Whenthis phenomenonextendsfor a longer period of time or over a season, then rainfall is insufficient in meeting the demands of human activities and the environment.a probability based index which is developedfor better representation of abnormal wetness and dryness is the Standardized precipitation index (SPI). SPI can be calculated easily and can be applied conveniently. The only input data required by it is precipitation and the problem of parameter calibration is escaped. But minimum data required for input is 3 years. Thus, it is particularly suitable for drought/flood monitoring. Even though the original purpose of SPI was for drought detection and monitoring, but it can also be applied to identify wetter than normal conditions. 2. STUDY AREA AND DATA USED Allahabad districtwhich is located at 25.45 N latitudeand 81.84 E longitude in the southern part of the Uttar Pradesh at an elevation of 98 meters, stands at the confluence of two, the Ganges and Yamuna.It lies in thesouthern part of Uttar Pradesh state. TheAllahabad district is surrounded in the east by Sant Ravi Das (Bhadohi) andmirzapur districts,kaushambi district in the west, Jaunpur and Pratapgarhdistricts in the north and Banda district and the state of Madhya Pradesh in the south. Figure 1 Location of Allahabad District The Allahabad district receives an annual rainfall that ranges between 6mm to 1mm. Precipitation data required for the study of trend analysis covers monthly rainfall data of 51 http://www.iaeme.com/ijciet/index.asp 1459 editor@iaeme.com

Mohammed Shahique Sheeraz, Chandra Shekhar Mishra and R.K. Pandey years i.e. from 1967 to 217 for Allahabad district. For present study, the values of Standardized Precipitation Index (SPI) of Allahabad district are estimated with time step of 12 months which are used in the study to show the annual fluctuation of precipitation from its mean as well as abnormal wetness and dryness over study area. The monthly precipitation data for Allahabad district forthe period of 51 years (1967-217) is collectedfrom Indian Meteorological Department website(www.imd.gov.in)and Indian Water Portal website (www.indianwaterportal.org). The data is then analyzed for fluctuation of precipitation pattern as well as for measuring severity of abnormal wetness and dryness of precipitation.the software used to calculate SPI is R(version- 3.5.) 3. METHODOLOGY A probability based index which is developed for better representation of abnormal wetness and dryness is known as Standard precipitation index (SPI) (Mckee, 1993). The current study uses SPI for analysing fluctuation in precipitation pattern as well as for measuring severity of abnormal wetness and dryness of precipitation. In India, SPI is the best tool for monitoring meteorological drought (Jayantasarkar, 21, Pai 211). About 6 to 7 % of Indian economy is directly dependent upon agriculture and the agriculture is purely dependent on south west monsoon precipitation.therefore by use of single parameter i.e. precipitation in order to monitor and analysis of drought, SPI gives better results in comparison to other indices such as percent of normal (PN), Palmer drought severity index (PDSI), Surface water supply index (SWSI) etc. In order to calculate SPI, the difference of the precipitation from the mean for a particular time step and then dividing it by the standard deviation is done. SPI = (1) Where- X i is the actual precipitation, X avg is the mean precipitation, is the standard deviation. Mckee(1993), described SPI values range both above and below zero. If the value of SPI exceeds > +2 &< it will be described as being extremely wet and extremely dry respectively. Likewise, SPI values in between +1.99 to +1.5 &.99 to.5 being severe wet and severe dry respectively, +1.49 to +1. &.49 to. being moderately wet and moderately dry respectively and values -.99 to +.99 are near normal. Table 1:SPI Values 2.+ extremely wet 1.5 to 1.99 very wet 1. to 1.49 moderately wet -.99 to.99 near normal. to.49 moderately dry.5 to.99 severely dry and less extremely dry http://www.iaeme.com/ijciet/index.asp 146 editor@iaeme.com

Trend Analysis of Meteorological Drought Using Standardized Precipitation Index for Allahabad 4. RESULT AND DISCUSSION The twelve month SPI analysis for Allahabad district along with annual precipitation (in mm) is shown in table 2. Table 2 Allahabad District SPI Values http://www.iaeme.com/ijciet/index.asp 1461 editor@iaeme.com

SPI Values SPI Values SPI Values Mohammed Shahique Sheeraz, Chandra Shekhar Mishra and R.K. Pandey For Allahabad, it is clearly found that before 2, only thirteen severely dry years and one moderately dry year occurred with SPI values ranging from.22 to.91.however, from 1967 to 217 there were total twenty-three severely dry years and one moderately dry year with SPI values ranging from.22 to.91. Overall, the SPI values for Allahabad range from.21 to.91 for the period 196717 suggesting that there is near normal to severely dry years occurred in Allahabad.From year 2 to 217 there are only eight years with near normal precipitation, rest ten years come under severely dry. Scatter Charts for twelve-month SPI analysis of Allahabad district for different time periods(1967991, 199217, 1967999, 217, 196717) are given below from figure 2 to figure 6..5 1965 -.5 197 1975 198 1985 199 1995.5.5 Year 1967991 Figure 2 SPI Analysis(1967991) 199 1995 2 25 21 215 22 -.5.5.5 Year 199217 Figure 3 SPI Analysis (199217).5 196 -.5 197 198 199 2 21.5.5 Year 1967999 Figure 4 SPI Analysis (1967999) http://www.iaeme.com/ijciet/index.asp 1462 editor@iaeme.com

Rainfall (mm) SPI Values SPI Values Trend Analysis of Meteorological Drought Using Standardized Precipitation Index for Allahabad 1995 2 25 21 215 22 -.5.5.5 Year 217 Figure 5 SPI Analysis (217).5 196 -.5 197 198 199 2 21 22.5.5 Year 196717 Figure 6 SPI Analysis (196717) The minimum annual precipitation in Allahabad district in past fifty-one years is observed in the year 29 which was 518.8 mm while the maximum annual precipitation is recorded in the year 198 which was 1593.7 mm. Scatter chart for annual rainfall for Allahabad district is given in figure 7 (1967999) and figure 8 (217). 2 15 1 5 196 197 198 199 2 21 Year Figure 7 Annual Rainfall (1967999) http://www.iaeme.com/ijciet/index.asp 1463 editor@iaeme.com

Rainfall (mm) Mohammed Shahique Sheeraz, Chandra Shekhar Mishra and R.K. Pandey 14 12 1 8 6 4 2 1995 2 25 21 215 22 Year Figure 8 Annual Rainfall (217) 5. CONCLUSION The standardized precipitation index is developed Allahabad district to study different changes in abnormal wetness and dryness in the study area for past fifty-one years (1967-217). Analysis showed that precipitation patterns are changing towards abnormal wet and dry periods for different years. But mostly there is increase in dry periods. Results of SPI showed that there is decrease in precipitation amount in most of the years. Further from the twelve month district-wise SPI scatter chart, clear indication of wet and dry spells are seen for the last seventeen years (217). Most of the years in Allahabad district showed a precipitation deficit of about 1 to 6% from mean precipitation. By definition, if an area has precipitation deficiency of more than 1% than that area comes under meteorological drought, and if precipitation deficiency is up to 6%, it means that during last seventeen years (2-217) a continuous moderate to severe drought has occurred. From the SPI values, it is clearly found out that from 1967 to 1999, only 14 dry years occurred with SPI values ranging from - 1.22 to.91 in Allahabad district. However, for the whole period from 1967 to 217 there were total 24 dry years in Allahabad district with SPI values ranging from.22 to.91. Overall, the SPI values for Allahabad range from.21 to.91 for the period 196717. REFERENCES [1] Allahabad- Wikipedia, the free encyclopedia. [2] Arnell, N.W. (24). Climate change and global water resources: SRES emissions and socio economic scenarios. Global Environmental Change, 14, 31 52. [3] Bhuiyan, C., Singh, R.P., &Kogan, F.N. (26). Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data. International Journal of Applied Earth Observation and Geoinformation. [4] Duhan and AshishPandey, (213). Statistical analysis of long term spatial and temporal trends of precipitation during 191 22 at Madhya Pradesh, India. Atmospheric Research 122, 136 149. [5] Henry, K. N., &Gan, T. Y. (23). Drought indices and their application to East Africa. International Journal of Climatology, 23, 1335 1357. [6] Indian Meteorological Department website (www.imd.gov.in) http://www.iaeme.com/ijciet/index.asp 1464 editor@iaeme.com

Trend Analysis of Meteorological Drought Using Standardized Precipitation Index for Allahabad [7] Indian Water Portal website (www.indianwaterportal.org) [8] IPCC, (22). Technical Paper V, Climate Change and Biodiversity. Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK. [9] IPCC, (27). Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK. [1] IPCC, (213). Contribution of Working Group I to the IPCC Fifth Assessment Report Climate Change13. The physical science basis. [11] Jayanta, Sarkar. (21). Monitoring drought risks in India; with emphasis on agricultural drought. Agricultural Drought Indices Proceedings of an Expert Meeting. [12] Jhajharia D., YadavBrijesh K., Maske Sunil, ChattopadhyaySurajit, and Kar Anil K., (212). Identification of trends in rainfall, rainy days and 24 h maximum rainfall over subtropical Assam in Northeast India. C. R. Geoscience 344, 1 13. [13] Mannava, &Shivakumar, V. K. (21). Agricultural drought WMO Prospective. Agricultural Drought Indices Proceedings of an Expert Meeting, Spain. [14] Mckee T. B., Nolan, J. D., &Kleistet, J. (172 Jan 1993). The relationship of drought frequency and duration to time scales. Eighth Conference on Applied Climatology, California. [15] Nagaraja, B. C., Somashekar, R. K., &Kavitha, A. Impact of Drought on Agriculture: Challenges Facing Poor Farmers of Karnataka, South India. http:// climsec.prio.no/papers/climate%2changenorwa %2 final%2 paper.pdf. [16] Pai, D. S., Latha Sridhar., Pulak, G., Hatwar, H. R. (211). District-wide drought climatology of the southwest monsoon season over India based on standardized precipitation index (SPI). Natural Hazards, 59, 1797 1813. [17] Pant, G. B. and Hingane, L. S., (1988). Climatic changes in and around the Rajasthan desert during the 2th century. Int. J. Climatol., 8, 391 41. [18] Roy ShouraseniSen and Balling Robert C. (24) Trends in extreme daily precipitation indices in India. Int. J. Climatol. 24: 457 466 (24) [19] WageshoNegash, Goel N.K. and Jain M.K., (212). Investigation of non-stationarity in hydro-climatic variables at Rift Valley lakes basin of Ethiopia. Journal of Hydrology 444 445, 113 133. [2] World Food Summit (1996, 13 November 7 November). Food for all: Water and Food Security. Retrieved November 28, 21, from the FAO website: http://www.fao.org/docrep/x262e/x262e1.htm http://www.iaeme.com/ijciet/index.asp 1465 editor@iaeme.com