Indian Journal of Geo Marine Sciences Vol. 49 (06), June 2020, pp. 1108-1113

Short Communication

Spatial analysis of rainfall in northern part of district, , using GIS

J Abdul Bari* & G Vennila Department of Civil Engineering, K. S. Rangasamy College of Technology, Tiruchengode, Tamil Nadu – 637 215, India *[E-mail: [email protected]]

Received 02 April 2019; revised 23 May 2019

Water an important source for human beings. The major source of water is the rainfall which is the key factor in determining the sustainability and conservation of living organisms on the earth. Around 80 % of the rainfall occurs during monsoon seasons which results in floods and sometimes results in drought due to the seasonal variations. Hence, it is necessary to analyze the rainfall during the seasonal period. The present study deals with the characteristics of rainfall of the northern part of . The rainfall data for the period of 20 years (1993-2012) were collected with a mean monthly rainfall data of the five rain gauge stations located in the study area, analyzed and categorized as four different seasons. These rainfall data were used to obtain the rainfall pattern by Geographical information system (GIS) and the spatial distribution maps for all the four seasons were prepared by Inverse Distance Method in ArcGIS. The study shows that the area covers under high rainfall is 51.74 km2, 1332.24 km2 and 1492.13 km2 during pre-monsoon season, South west monsoon and North East monsoon and during post-monsoon the low intensity of rainfall were observed which covers around 1492.13 km2 of the study area.

[Keywords: Geographical Information System, Inverse Distance Method, Monsoon period, Rainfall, Spatial distribution maps]

Introduction The present study focused on the northern part of The important source of all the living organisms is the Erode district (i.e) in Tamil Nadu, water, which mainly depends upon the rainfall, an India. The study area in general has scanty rainfall important and integral part of the component of the and dry climatic conditions. In the present study an water cycle1. The agricultural planning in country like attempt has been made to understand the rainfall India is depending upon the rainfall since India is a distribution pattern by analyzing the average seasonal tropical country and around 75 % of the rainfall and spatial variations of rainfall which is obtained occurs during monsoon periods which are varying from the rain gauge station available near the study with time and space2. The intensity of erratic area. Now a day, the concepts of Geographic monsoon rainfall with its varying nature results in information systems (GIS) and its technologies have drought during non-monsoon periods in Tamil Nadu, been widely used in the entire field. For analyzing the India. Hence it is necessary to study the rainfall spatial data, GIS is the best tool6,7 and hence, it is used distribution pattern. Several studies have been carried to prepare the spatial variation of the rainfall in the out to understand the spatial variations of rainfall. The study area. The main objective of this study is to spatial and frequency distribution of rainfall intensity calculate the average monthly, seasonal and annual in coastal zone of Krishna-Godavari river basin in variations of the rainfall pattern and to prepare the Andhra Pradesh, India was studied by analyzing the spatial distribution maps using GIS software. rainfall pattern3. The hydrographs and iso-hyetal maps are prepared for analyzing the groundwater level by Materials and Methods using the relationship between rainfall and Description of study area groundwater level in Lower Palar river basin, India4. The study area Bhavani taluka, which is located The rainfall variation in Vattamalaikarai sub-basin of 15 km towards the north from the district headquarter, Tamil Nadu has been analyzed by interpretation of the Erode, Tamil Nadu, India with a north latitude of monthly and seasonal variation of rainfall5. 11°33’45” and east longitude of 77°38’0” covering a

BARI & VENNILA: RAINFALL ANALYSIS USING GIS IN ERODE DISTRICT 1109

Fig. 1 — Map of the study area total area of about 1492.13 km2 as shown in Figure 1. both these seasons and scanty rainfall during winter The study area is benefited by North east and South and summer seasons with a mean annual rainfall of west monsoon season since it receives rainfall during 830 mm (PWD)8. The climatic condition of the study 1110 INDIAN J GEO-MAR SCI, VOL 49, NO 06, JUNE 2020

area is dry weather expect during monsoon periods with the average annual rainfall spatial distribution which have the minimum temperature of 23 °C in map was prepared using Inverse distance method winter and 41 °C in summer season. The district is in ArcGIS. covered by Metamorphosed Gneissic rocks of Archean age. Part of the study area is covered by Charnockite Results and Discussion where there is a poor potential zones and the rest of the Average monthly variation of rainfall area is covered by Peninsular Gneiss where there is a The variation of the average monthly rainfall of 9 good availability of water potential zones . Bhavani taluka for the period of 20 years (1993-2012) has been calculated at the five rain gauge stations Methodology The rainfall data for the period of 20 years which has been utilized for preparing rainfall (1993 -2013) of the study area, Bhavani taluk was variation diagram (Figs. 3a-e). In all the rain gauge collected from the Public works Department (PWD), stations the homogeneous pattern of rainfall variations Surface and Groundwater divisions, Chennai, Tamil is observed. The intensity of rainfall has been notices Nadu. The rainfall data were obtained from as increasing trend from January to May and then it the five rain gauge station available near the study decreases to July. A gradual increasing in trend is area namely, Ammapettai, Bhavani, Anthiyur, observed from the month of July to September and Kavandapadi and Athani as shown in Figure 2. To peak at the month of October to December. investigate the rainfall variation, the collected rainfall Kavundapadi and Athani stations receive the Peak data of the entire year is categorized in to four rainfall of 150.28 mm and 132.3 mm, respectively by different seasons as shown in Table 1. the month of October whereas the Anthiyur station The rainfall data were interpreted by preparing receives low rainfall of 46.268 mm during the month various maps and graphs. The spatial distribution of October. map of the entire four seasons Post-monsoon, Pre-monsoon, NE Monsoon and SW monsoon along Average seasonal variation of rainfall The seasonal variation of rainfall over the period of 20 years were analyzed for all the five gauge stations in the study area (Fig. 4). The seasons in the study were classified as post monsoon season (Jan and Feb), Pre-Monsoon (March to May), SW monsoon (June to Sep) and NE Monsoon (Oct to Dec). The trend of rainfall occurring in the study as follows: NE monsoon > SW Monsoon > Pre Monsoon > Post Monsoon.

Spatial variation of rainfall An analytical technique with the study of location of the geographic phenomena together with their spatial dimension and their associated attributes is geographic information system10. The attributes used are table analysis, classification, polygon classification and weight classification). The spatial distribution thematic maps were plotted with the help of ArcGIS with the help of rainfall data for pre monsoon, post-monsoon, NE monsoon and SW

Table 1 — Monsoon period and corresponding months S. No Seasons Months 1 Post-Monsoon Jan and Feb 2 Pre-Monsoon March, April and May 3 SW Monsoon June, July, Aug and Sep.

Fig. 2 — Location of rain gauge stations 4 NE Monsoon Oct, Nov and Dec

BARI & VENNILA: RAINFALL ANALYSIS USING GIS IN ERODE DISTRICT 1111

Fig. 3 — (a-e) Monthly variation of rainfall

699.42 km2 and the moderate rainfall covers an area of around 740.96 km2. The entire study area (1492.13 km2) receives low rainfall pattern during Post monsoon period (Fig. 5b) where as it is high rainfall pattern (> 220 mm) during NE Monsoon (Fig. 5c). The spatial distribution map of the SW monsoon season shows that the area of around 1332.24 km2 occupies high rainfall pattern (Fig. 5d).

Average annual rainfall The average annual rainfall spatial distribution map

is shown in Figure 5(e). It shows that high rainfall is Fig. 4 — Seasonal variation of rainfall 2 recorded over 17.80 km in the areas surrounding by monsoon periods. From the Pre-monsoon spatial Athani rain gauge station and the low rainfall over 2 distribution map (Fig. 5a) it is observed that the 32.05 km in the nearby areas of Kavandapadi rain low rainfall pattern (< 190 mm) covers an area of gauge station. 1112 INDIAN J GEO-MAR SCI, VOL 49, NO 06, JUNE 2020

Fig. 5 — Spatial distribution map of: a) Pre-monsoon period; b) Post-monsoon period; c) NE monsoon period; d) SW monsoon period; and e) Average annual rainfall

BARI & VENNILA: RAINFALL ANALYSIS USING GIS IN ERODE DISTRICT 1113

Conclusion Author Contributions The present study shows the usages of GIS by JAB done the surveys, identified the problems in spatial variation of rainfall pattern with the help of the study regions, collected the data and analyzed and inverse distance method. Rainfall is an important interpreted with the software, and wrote the factor for the use of water resources for its manuscript. GV has contributed in supervision, agricultural activities. The study data series of the guidance in verifying the content of the manuscript average monthly variation of rainfall indicates that the and also assisted in grammatical revisions to the Ammapettai and Kavandapadi raingauge station manuscript. receives higher rainfall intensity of 110.36 mm and 150.28 mm, respectively. From the monthly data of References the rainfall analysis, the maximum rainfall is recorded 1 T A Shalini T A, Pandey A C & Nathawat M S, Groundwater during the month of the October and the minimum level and Rainfall variability trend analysis using GIS in rainfall intensity is recorded during the month of parts of Jharkhand State (India) for sustainable management January in all the raingauge station located in the of water resources, Int Res J Environmen Sci, 1 (4) (2012) 24-31. study area. 2 Sukumar S, Devadass C S C & Brema J, Rainfall distribution The seasonal distribution of rainfall for all the five and variability in District, Tamil Nadu using GIS stations in Bhavani taluka is graphed to analyze the Technique, Int J Earth Sci Eng, 09 (2016) 596-603. seasonal variations of rainfall. The seasonal 3 Jagannathasarma V V, Rainfall analysis pattern in the coastal distribution is of much importance in human activities zone of Krishna-Godavary Basin, AP, India, J Appl Hydrol, particularly in agriculture. It shows that the 18 (1&2) (2005) 1-11. Ammapettai receives heavy rainfall during all the 4 Kumar M S & Elango L, Rainfall and groundwater level relationship in a part of the lower Palar river basin, Tamil seasons, where as Athani receives much lower Nadu, India, Int Conference resources in Semi-arid region rainfall. The analysis of the seasonal variation of the with special reference to hard rock (2002) 417-422. rainfall concludes the following order of the pattern of 5 Vennila G, Subramani T & Elango L, Rainfall variation rainfall: NE monsoon > SW monsoon > Pre-monsoon analysis of Vattamalaikarai Sub-basin, Tamil Nadu, India, > Post-monsoon. J Appl Hydrol, 3 (2007) 50-59. The spatial distribution of rainfall pattern indicates 6 Goovaerts P, Geostatistical approaches for incorporating that the magnitude of the rainfall is higher in the elevation into the spatial interpolation of rainfall, J Hydrol, 228 (1) (2000) 113–129. central part of the study area in all the monsoon 7 Li M, Shao Q & Renzullo L, Estimation and spatial period. The study concludes that Bhavani taluka interpolation of rainfall intensity distribution from the receives a merger amount of rainfall over the last effective rate of precipitation, Stoch Environ Res Risk Assess, 20 years. 24 (1) (2010) 117–130. 8 PWD, ‘Rainfall, groundwater quality and water level data Acknowledgements (1993- 2012)’, State Ground and Surface Water Res. Data The Authors are thankful to institute K. S. Centre, Public Works Dept, Govt of Tamil Nadu, India. Rangasamy College of Technology, Namakkal 9 Abdul Bari J, Vennila G, Subramani T, Suresh M, et al., district, Tamil Nadu, for extending the available Hydrogeochemical Investigation of Groundwater in Bhavani taluk, Erode district, Tamil Nadu, India Using GIS, facilities and support to carry out the research work. Indian J Geo-Mar Sci, 45 (9) (2016) 1154-1161. 10 Bagyaraj M, Bhuvaneswar & Nandhinipriya B, The Conflict of Interest High/Low rainfall fluctuation mapping through GIS Authors declare that they do not have any conflict technique in Kodaikanal Taluk, Dindigual District, Tamil of interest. Nadu, Int J Advanced Res, 3 (11) (2015) 1606-1613.