Assessment of Reduction in Water Spread of Shanthisagara Lake in Davanagere District Karnataka using Geoinformatics

Assessment of Reduction in Water Spread of Shanthisagara Lake in Davanagere District Karnataka using Geoinformatics

Govindaraju, Arpitha S S, Rakesh C J

Department of Applied Geology, Kuvempu University, Jnanasahyadri, Shankaraghatta-577 451

Abstract – The aim of present study is to assess the causes for reduction in water spread of Shanthisagara lake in Davanagere district from the last 50 years using Remote Sensing and GIS techniques. The remote sensing data like, Landsat-5MSS, Landsat-7ETM+ and Resourcesat-2, LISS-IV were used to map the water spread area of the lake. Multidate satellite data analysis showed that, there is change in lake water spread over the years. To know the reasons, rainfall data for more than 50 years were collected and analyzed along with Land use/ Land cover studies carried out using LISS-IV data for the year 2009 and 2018. The result infers that, there is a reduction in water spread area of Shanthisagara lake over the years is due to reduction in rainfall in the catchment area and significant change in Land use/Land cover pattern from year 2009 to 2018 has also contributed to reduced inflow to lake.

Keywords: Shanthisagara lake, Water spread, Remote sensing, GIS

INTRODUCTION

Lake is an area filled with water localized in a basin, which is surrounded by land, apart from any river or other outlet that serves to feed or drain the lake. Lakes lie on land and are not part of the ocean, and therefore are distinct from lagoons, and are also larger and deeper than ponds, though there are no official or scientific definitions. Lakes can be contrasted with rivers or streams, which are usually flowing. Most lakes are fed and drained by rivers and streams. (Kalaiselvanet.,al 2018) Natural lakes are generally found in mountainous areas, rift zones, and areas with ongoing glaciation. Other lakes are found in endorheic asins or along the courses of mature rivers. In some parts of the world, there are many lakes because of chaotic drainage patterns left over from the last Ice Age. All lakes are temporary over geologic time scales, as they will slowly fill in with sediments or spill out of the basin containing them. Many lakes are artificial and are constructed for industrial or agricultural use for hydroelectricity power generation or domestic water supply or for aesthetic, recreational purposes or other activities.

IMPORTANCE OF THE STUDY

The study reveals the causes for the reduction of water spread area in the lake over the years using satellite remote sensing data (from last 50 years) either rainfall over 50

years or the impact of LU/LC patterns changes in the lake catchment area.

Data Used: The change in the water spread area has been studied using multi-temporal satellite datasets used is as given in Table 1.

Table 1: Data used for the present study area

Software Used:

ArcGIS: ArcGIS is Geographic Information System developed by ESRI (Environmental System Research Institute) creates and analyzes geographic data, tests predictions and ultimately makes better decision which allows a user to visualize and manage the database. ArcGIS is used by people all over the world to put geographic knowledge to work in government, business, science, education and media. ArcGIS enables geographic information to be published so it can be accessed and used by anyone.

ERDAS Imagine: High resolution images are used to analyze the Land use/Land cover changes using ERDAS, because of the popularity and wide acceptance in remote sensing image classification. In this project, ERDAS imagine is used for the purpose of geo-referencing.

RESULTS AND DISCUSSION

In the figure 1, Satellite image is Corona acquired on March 14th 1964. This satellite image represents the Shanthisagara lake water spread area is about 18.16 Sq km out of 26.51 Sq km of the boundary of Shanthisagara lake .

In the figure 2, Satellite image is Landsat-5 acquired on April 8th 1973. This satellite image represents the

Shanthisagara lake water spread area is about 22.73 Sq km out of 26.51 Sq km of the boundary of Shanthisagara lake.

In the figure 3, Satellite image is Landsat-7 acquired on March 23rd 1999. This satellite image represents the Shanthisagara lake water spread area is about 15.17 Sq km out of 26.51 Sq km of the boundary of Shanthisagara lake.

In the figure 4, Satellite image is Landsat-5 acquired on April 8th 2009. This satellite image represents the Shanthisagara lake water spread area is about 12.69 Sq km out of 26.51 Sq km of the boundary of Shanthisagara lake.

In the figure 5, Satellite image is LISS-IV merged satellite acquired on October 8th 2017. This satellite image

Figure 1: Water spread of the lake in 1964

Figure 2: Water spread of the lake in 1973

Figure 3: Water spread of the lake in 1999.

represents the Shanthisagara lake water spread area is about

10.27 Sq km and out of 26.51 Sq km of the boundary of Shanthisagara lake.

Figure 4: Water spread of the lake in 2009

Figure 5: Water spread of the lake in 2017

Figure 6: Water spread in the Shanthisagara lake from 1964 to 2017

Annual Rainfall of Channagiri and Holalkere Raingauge Stations from 1964-2017

The rainfall data from Indian Metrological Department (IMD) website has been downloaded for the Channagiri and Holalkere raingauge stations from the year 1964 to 2017. The year wise variation of annual rainfall for

Channagiri raingauge station is shown in figure 7, which reveals that the maximum amount of rainfall occurs in 1973 and the minimum amount of rainfall occurs in 2016-

17. Similarly, for the Holalkere raingauge station, annual rainfall variation is shown in figure 8, where the maximum amount of rainfall occurs in 1972 and the minimum amount of rainfall occurs in 2016.

Figure 7: Year wise annual rainfall variation diagram for Channagiri Raingauge station (from 1964-2017).

Figure 8: Year wise annual rainfall variation diagram for Holalkere raingauge station (from 1964-2017)

From the above analysis, we can see a significant decrease in the rainfall in the catchment area over the years contributing to the reduction in the water spread area.

Table 3: Land use/Land cover categories during Year 2009 & 2018 (area in Sq km)

CONCLUSION

Remote sensing and GIS techniques are very useful to assess the change in water spread and LU/LC of given area.

Multi-dated Satellite data for the last 50 years has

enabled mapping of watershed of Shanthisagara Lake. Rainfall analysis for the last 50 years showed that, rainfall has reduced over the 50 years and it could be one of the reasons for the reduction in water spread area of the lake. Land use/Land cover change analysis has shown that there is significant increase in plantation area and this is may be one of the reasons for reduced inflow to the lake. The suggestion like desiltation of the streams, those connecting to the lake will enable to good flow of water to the lake which may leads to increase the water spread area.

Acknowledgement: Authors would like to thank Dr. K Ganesh Raj, Scientist, RRSSC, Bengaluru for providing an opportunity to carryout analysis.

REFERENCES

1. Kalaiselvan P., R. Nagendran and S. Sivanesan.January (2018)

   Change detection of water bodies in Sriperumbudur

2. Watershed, Tamilnadu, India using Geospatial anlysis. 86 (3),pp. 275-285.

3. Narendra.G, VasanthKumar.H (2017) A GIS based decision support system for land use and land cover changes Tiruvallur district, Tamil Nadu, 188(7), 1-12.

4. Sudha.M , T. V. Ramachandra, Uttam Kumar (2016) Geographic Resources Decision Support System for land use, land cover dynamics analysis 8. Mas, J.F., 1999, Monitoring land cover changes: a comparison of change detection, 34(2), pp 236-243.

5. SreeSharmila T, Ramar K, Vidhusha S. SSN College of Engineering Chennai (2012) Change Detection of Water-Body in Synthetic Aperture Radar Images, 66 pp. 377-393

6. Priyanka.S, M. Narayana (2015) Detection of water level in lakes using satellite images, 188(7), 1-12.

7. Jaiswal, R.K., Saxena, R. And Mukherjee, S., (2012) Application of Remote Sensing Technology for Landuse/ Landcover change analysis. Photonirvachak-J.Indian Soc. Remote sensing, 27, 123- 128.

8. Himanshu Rana and NirvairNeeru (2012) Water Detection using Satellite Images Obtained through Remote Sensing -12.Water

   Detection using Satellite Images Obtained through Remote Sensing – Himanshu Rana and NirvairNeeruResear.

9. Gulcan Scarp, Mehmet Ozcelik (2002) Waterbody extraction and change detection using time series: A case study of Lake Burdur, Turkey, Journal of Tibah university for science 11 pp 381-391.

10. Ramachandra T.V, Kumar U (2004) Geographic resources decision support system for land-use and land-cover dynamic analysis. in preceeding of the usersconference Bangkok-Thailand, 12-14.