Hydrological parameters Controls Vulnerable Zones in Calicut Nilambur Gudalur Ghat section, Gudalur, The Nilgiris, Tamil Nadu.

Similar documents
INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 1, No 1, 2010

BASIC DETAILS. Morphometric features for landslide zonation A case study for Ooty Mettupalayam highway

International Journal of Modern Trends in Engineering and Research e-issn No.: , Date: April, 2016

APPLICATION OF REMOTE SENSING & GIS ON LANDSLIDE HAZARD ZONE IDENTIFICATION & MANAGEMENT

URBAN WATERSHED RUNOFF MODELING USING GEOSPATIAL TECHNIQUES

Landslide Hazard Zonation of Sirumalai Hills using Remote Sensing and GIS

IDENTIFICATION OF LANDSLIDE-PRONE AREAS USING REMOTE SENSING TECHNIQUES IN SILLAHALLAWATERSHED, NILGIRIS DISTRICT,TAMILNADU,INDIA

Effect of land use/land cover changes on runoff in a river basin: a case study

Data Mining Approach For Landslide Susceptibility Mapping For Kundhapallam Watershed, Nilgiris, TamilNadu Dr. P. Rajesh Prasanna 1, S.

EFFECT OF WATERSHED DEVELOPMENT PROGRAMME IN GUDHA GOKALPURA VILLAGE, BUNDI DISTRICT, RAJASTHAN - A REMOTE SENSING STUDY

LANDSLIDE SUSCEPTIBILITY MAPPING USING INFO VALUE METHOD BASED ON GIS

IDENTIFICATION OF LANDSLIDE-PRONE AREAS USING REMOTE SENSING TECHNIQUES

LAND SUITABILITY STUDY IN LAND DEGRADED AREA DUE TO MINING IN DHANBAD DISTRICT, JHARKHAND.

LANDSLIDE HAZARD ZONATION IN AND AROUND KEDARNATH REGION AND ITS VALIDATION BASED ON REAL TIME KEDARNATH DISASTER USING GEOSPATIAL TECHNIQUES

International Journal of Remote Sensing & Geoscience (IJRSG) ASTER DEM BASED GEOLOGICAL AND GEOMOR-

REMOTE SENSING AND GIS BASED APPROACH FOR DELINEATION OF ARTIFICIAL RECHARGE SITES IN PALANI TALUK, DINDIGUL DISTRICT, TAMILNADU, INDIA

Geospatial Approach for Delineation of Landslide Susceptible Areas in Karnaprayag, Chamoli district, Uttrakhand, India

Remote Sensing and GIS Applications for Hilly Watersheds SUBASHISA DUTTA DEPARTMENT OF CIVIL ENGINEERING IIT GUWAHATI

Landslides Zones of Nearby Areas of Malin Village, Pune District, Maharashtra Using GIS Techniques

Ground Water Potential Mapping in Chinnar Watershed (Koneri Sub Watershed) Using Remote Sensing & GIS

DEVELOPMENT OF FLOOD HAZARD VULNERABILITY MAP FOR ALAPPUZHA DISTRICT

Landslide Hazard Assessment Methodologies in Romania

Landslide Disasters in Uttarakhand: A Case of Landslide Susceptibility Zonation of Alaknanda Valley in Garhwal Himalaya

Favorable potential zone map using Remote sensing and GIS

Integrated Remote Sensing and GIS Approach for Groundwater Exploration using Analytic Hierarchy Process (AHP) Technique.

Report for Area Drainage Studies for 1320 MW (2x660 MW) THERMAL POWER PROJECT AT MIRZAPUR, U.P.

Landslide Susceptibility Mapping Using Logistic Regression in Garut District, West Java, Indonesia

International Journal of Intellectual Advancements and Research in Engineering Computations

LANDSLIDE SUSCEPTIBILITY MAPPING USING WEIGHTS OF EVIDENCE METHOD IN COONOOR WATERSHED, NILIGIRIS DISTRICT, TAMILNADU, INDIA

Sub-watershed prioritization based on potential zones of Kuttiadi river basin, A Geo-Morphometric approach using GIS

Geospatial Data Integration For Groundwater Recharge Estimation In Hard Rock Terrain. Authors,

Investigation of the Dynamics of Landslides Alongside the Risk and Vulnerable Factors Using Remote Sensing and Geographical Information System

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 4, No 2, 2013

Delineation of groundwater potential zones in Coimbatore district, Tamil Nadu, using Remote sensing and GIS techniques

Landuse and Landcover change analysis in Selaiyur village, Tambaram taluk, Chennai

Landslide susceptibility mapping using frequency ratio method and GIS in south eastern part of Nilgiri District, Tamilnadu, India

EVALUATION OF GROUND WATER POTENTIAL OF NALLATANGAAL ODAI USING REMOTE SENSING AND GIS TECHNIQUES

Virtual Reality Modeling of Landslide for Alerting in Chiang Rai Area Banphot Nobaew 1 and Worasak Reangsirarak 2

Need of Proper Development in Hilly Urban Areas to Avoid

SITE SELECTION FOR NEW DESALINATION PLANT AND PLANNING AN OPTIMAL WATER DISTRIBUTION NETWORK IN TUTICORIN TALUK

Watershed Development Prioritization by Applying WERM Model and GIS Techniques in Takoli Watershed of District Tehri (Uttarakhand)

Identification of Groundwater Recharge Potential Zones for a Watershed Using Remote Sensing and GIS

Block Level Micro Watershed Prioritization Based on Morphometric and Runoff Parameters

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 2, No 1, 2011

LAND CAPABILITY CLASSIFICATION FOR INTEGRATED WATERSHED DEVELOPMENT BY APPLYING REMOTE SENSING AND GIS TECHNIQUES

GROUNDWATER CONFIGURATION IN THE UPPER CATCHMENT OF MEGHADRIGEDDA RESERVOIR, VISAKHAPATNAM DISTRICT, ANDHRA PRADESH

MORPHOMETRIC ANALYSIS OF WATERSHEDS IN THE KUNIGAL AREA OF TUMKUR DISTRICT, SOUTH INDIA USING REMOTE SENSING AND GIS TECHNOLOGY

Statistical approach of Landslide investigation using Remote Sensing in Coonoor Watershed, Nilgiris District, Tamilnadu, India

GIS BASED ANALYSIS ON ENVIRONMENTAL SENSITIVE AREAS AND IDENTIFICATION OF THE POTENTIAL DISASTER HAZARDOUS LOCATIONS IN SOUTHERN SRI LANKA

CHAPTER 3 LANDSLIDE HAZARD ZONATION

Abstract: About the Author:

Urban Hydrology - A Case Study On Water Supply And Sewage Network For Madurai Region, Using Remote Sensing & GIS Techniques

7.1 INTRODUCTION 7.2 OBJECTIVE

DEMARCATION OF GROUNDWATER PROSPECT ZONES THROUGH RS AND GIS TECHNIQUES IN A BASIN

Landslide Hazard Investigation in Papua New Guinea-A Remote Sensing & GIS Approach

Site Suitability Analysis for Urban Development: A Review

ASTER DEM Based Studies for Geological and Geomorphological Investigation in and around Gola block, Ramgarh District, Jharkhand, India

EMERGENCY PLANNING IN NORTHERN ALGERIA BASED ON REMOTE SENSING DATA IN RESPECT TO TSUNAMI HAZARD PREPAREDNESS

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 2, No 2, 2011

e-pathai GIS (Electronic Project, Administration, Traffic, Highway Assets and Information management system) in Tamil Nadu Highways

STUDY AND SUGGESTIVE MEASURES OF LANDSLIDES ON PUNE MUMBAI ROUTE

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 1, No 1, 2010

Mapping the Groundwater Potential Zone for Bengaluru Urban District

Landslide Hazard Zonation Methods: A Critical Review

Indexing vulnerability of an embankment reach against breaching: A remote sensing and hydrodynamic based study

Potential Groundwater Accumulations Assessment in Drought Prone Area using Remote Sensing and GIS Technology

GIS Based Delineation of Micro-watershed and its Applications: Mahendergarh District, Haryana

CHANGE DETECTION USING REMOTE SENSING- LAND COVER CHANGE ANALYSIS OF THE TEBA CATCHMENT IN SPAIN (A CASE STUDY)

CHAPTER 4 METHODOLOGY

CHAPTER 9 SUMMARY AND CONCLUSIONS

Disaster RISK Management : Bhutanese Scenario

Evaluation of groundwater potential zones in Krishnagiri District, Tamil Nadu using MIF Technique

Journal of Remote Sensing & GIS ISSN:

Journal of Environmental Research And Development Vol. 5 No. 1, July-September 2010

LANDSLIDE HAZARD EVALUATION AND A STUDY ON INFLUENCE OF NEOTECTONIC LINEAMENTS

Vulnerability of Flood Hazard in Selected Ayeyarwady Delta Region, Myanmar

SITE SUITABILITY ANALYSIS FOR URBAN DEVELOPMENT USING GIS BASE MULTICRITERIA EVALUATION TECHNIQUE IN NAVI MUMBAI, MAHARASHTRA, INDIA

Assessing Spatial Vulnerability for Landslide Threat in Hilly Areas of The Nilgiris, Tamil Nadu, India

Comparison of GIS based SCS-CN and Strange table Method of Rainfall-Runoff Models for Veeranam Tank, Tamil Nadu, India.

Assessment of groundwater potential zones in Allahabad district by using remote sensing & GIS techniques

International Journal of Advance Engineering and Research Development

Monitoring and Temporal Study of Mining Area of Jodhpur City Using Remote Sensing and GIS

Road Network Impedance Factor Modelling Based on Slope and Curvature of the Road

LANDSLIDE HAZARD ZONATION USING THE RELATIVE EFFECT METHOD IN SOUTH EASTERN PART OF NILGIRIS, TAMILNADU, INDIA.

DROUGHT RISK EVALUATION USING REMOTE SENSING AND GIS : A CASE STUDY IN LOP BURI PROVINCE

STUDY ON TYPE AND DISTRIBUTION OF WETLANDS OF SIKKIM HIMALAYAS USING SATELLITE IMAGERY WITH REMOTE SENSING & GIS TECHNIQUE

INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY

A STUDY ON MORPHOMETRIC PARAMETER OF A WATERSHED FOR SUSTAINABLE WATER CONSERVATION

GIS Based Habitat Modeling of Common Leopard Land Cover, TOPO-Cadastral and Available Field Data (Drat Report)

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 6, No 3, 2016

variation analysis of Vattamalaikarai sub basin, Tamil Nadu, India.

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 6, No 2, 2015

Geo-Environmental Study of Kaliasaur Landslide in District Rudraprayag of Garhwal Himalaya, Uttarakhand, India

Landslide Forecasting and Warning Mechanism

VILLAGE INFORMATION SYSTEM (V.I.S) FOR WATERSHED MANAGEMENT IN THE NORTH AHMADNAGAR DISTRICT, MAHARASHTRA

Georeferencing and Satellite Image Support: Lessons learned, Challenges and Opportunities

Flood hazard mapping in Urban Council limit, Vavuniya District, Sri Lanka- A GIS approach

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 2, No 1, 2011

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCES Volume 5, No 1, Copyright by the authors - Licensee IPA- Under Creative Commons license 3.

Landslide Hazard Mapping of Nagadhunga-Naubise Section of the Tribhuvan Highway in Nepal with GIS Application

Transcription:

International Journal of ChemTech Research CODEN (USA): IJCRGG ISSN: 0974-4290 Vol.9, No.03 pp 248-253, 2016 Hydrological parameters Controls Vulnerable Zones in Calicut Nilambur Gudalur Ghat section, Gudalur, The Nilgiris, Tamil Nadu. Mani. S and Saranaathan. S. E.* School of Civil Engineering, SASTRA University, Thanjavur, India. Abstract: Calicut Nilambur Gudalur Ghat sections is one of the most important inter-state networks connection Tamil Nadu (Gudalur) and Kerala (Calicut) borders along the Western Ghats, It is located on Gudalur Taluk, Gudalur district. Calicut is one of the most popular tourist destinations. These Ghat section road slopes are very steep and rocks are fissile in nature. This can generate the problem of major and small landslides in this area. So, it is necessary to evaluate the present structure of hill slopes by carrying out a systematic study. The present paper emphasis a methodology to Landslide Hazard Zonation map using hydrological parameters. The thematic maps such as drainage map, buffer, drainage density, drainage intensity, run-off, rainfall intensity and slope of the study area were prepared on 1:25,000 scales. Relief has been traced from toposheet. Slope and aspect maps were prepared from the contour map. Drainage density drainage buffer and drainage intensity map has been derived from drainage. Thematic maps were digitalized with the help of ARC MAP software. Multicriteria analysis was done using all thematic layers by assigning proper weightages and scores for individual features based on their contribution to landslides. Based on the output, the study area was ranked into 5 different categories of hazard zones such as very low, low, moderate, high and very high. The hazard zonation map shows that 0.50% in very low, 13.30% low, 55.80% in moderate, 29.44% in high and 0.96% very high hazard zone. The landslide hazard zonation map is validated with landslide points which were collected from the field using high performance GPS. According to landslide inventory details 1.64% is located in very high, 29.50% in high, 62.30% in moderate, 4.92% in low and 1.64% in very low hazard zones. The study area was prioritized according to the hazard zones for future sustainable and developmental studies. Keywords: Landslides, Remote sensing and GIS, Hydrological factors, Hazard Zonation. Introduction Landslides and other mass movements are common phenomenon in the hilly region. The general introduction of the landslides, the various types of landslides and causes of landslides are deeply discussed 9. Landslides are one of the major natural hazards that affects at least 15% of the land area of our country which around 0.46 million sq. km. Slope instability and landslides are one of the major natural disaster in many part of the country, particularly in Himalayas NE states, Western and Eastern Ghats in South India. The Calicut Nilamur Gudalur ghats section in Nadugani village, Gudalur is facing major problems of tourism flow, heavy lorry traffic and hill slope plantation. The major reason can be attributed to the increased growth tourists and vehicle movement around 300 heavy-duty Lorries per day. The activity is rampant on the hills slopes. Many

Saranaathan. S. E. et al /International Journal of ChemTech Research, 2016,9(3),pp 248-253. 249 times frequent slope failure, which totally paralyze the traffic flow during monsoon. Landslides occur frequent at particular a slope, which has to be given for restoration work. There are numerous approaches for hazard zonation mapping. The study area landslide types are mapped by large scale spatial data, pale scars and field survey, classified and landslide distribution in GIS environment. Many researchers on landslide hazard zonation have been done over the past three decades BIS method 1,7, evaluating landslide prone area using GIS 4,8, probabilistic frequency ratio method 6, Frequency ratio model 5. This paper tries to look into the various hydrological factors like drainage, drainage buffer, drainage density, drainage intensity, run-off, contour and slope to create a landslide hazard zonation map of CNG ghat section. Study area CNG ghat section lies at the Latitude 11 30 N to 76 15 N and Longitude 76 30 E to 11 15 E on the western portion of Nilgiris district at an altitude of 950m. In this section most of the area is covered by Hornblend biotite gneiss and small portion occupied by charnockites. The rocks are fissile in nature. The terrain slope is varies from 45 to 60. Most of the cover by Tea plantation and south-eastern side dense forest are noticed. The study area falls under the survey of India topo sheet No. 58A/7 on 1:50,000 and 58A/7-NE on 1:25,000 scale and covers an area about 4.79 Km². Trellises drainage pattern was notice and most of the drainages flowing along fracture zones. The study area is shown in Figure 1. Spatial and Non Spatial Data Drainage Map Drainage Density Drainage Intensity Drainage Buffer Contour Map Slope Map Rainfall Run Off Satellite Imagery Land Use Map Weightages & Scores GIS Database Multi Criteria Analysis Landslide Inventory Data Landslide Hazard Zonation Validation Figure 2: Methodology Flow Chart Chart

Saranaathan. S. E. et al /International Journal of ChemTech Research, 2016,9(3),pp 248-253. 250 Data products The following spatial data has been used for the study. Topo sheets No. 58A/7 (1:50,000) and 58A/7-NE (1:25,000) IRS RS2 LISS IV Geocoded January 2014 Rainfall data from Taluk office. Methodology The methodology adopted in the present study is explained with the help of a flow chart as shown in Figure 2. The themes like Drainage map (Figure 3a), Contour map (Figure 3b), and road were derived from SOI Toposheets. The Land use map is interpreted visually from satellite imagery (Figure 3c). Slope (Figure 3d), drainage density (Figure 3e), and drainage indensity (Figure 3f) were prepared from relief and drainage maps respectively. Using empirical formula for Tamil Nadu hills Q= CM 2/3, Run-off map (Figure 3g) was prepared 2. The above prepared maps were geo-referenced and digitized using ARC GIS software 3. Buffer zones (Figure 3h) were created for drainage map using ARC GIS software. The themes have been assigned with proper weightages and scores (Table 1). Multi-criteria analysis of the weighted themes was carried out with Overlay analysis in ARC GIS software to predict landslide vulnerable zones. Result and Discussion The output landslide vulnerable map is shown in Figure 4. It classifies the vulnerable zones into very high, high, moderate, low and very low based on the weightage and scores assigned to the different themes. It is found from the output map that the vulnerable zones identified are proportional to the hydrological factors. The areas such nadugani betta, marala malai, Nadugani and Kil nadugani comes under high vulnerable zones. These areas have very steep slopes and low drainage density. Nadugani betta and marala malai areas possess elevation more than 800 m from MSL. The output map shows that the very high zones are very limited and occupies about 0.96% and high hazard zones occupies 29.44%. As per hydrological factors influence the moderate vulnerable zones occupies 55.80%. Low and very low occupies zones about 13.30%, 0.50%. The places having moderate slope of 15 25degree, low to moderate drainage density. Most of the slides are occurs in these zones. The low vulnerable zones are mostly found along low slope areas.

Saranaathan. S. E. et al /International Journal of ChemTech Research, 2016,9(3),pp 248-253. 251 Figure 1.Location Map Figure 3a.Drainage Map Figure 3b.Contour Map Figure 3c.Landuse Map Figure 3d.Slope Map Figure 3e.Drainage Density Map Figure 3f.Drainage Intensity Map Figure 3g.Drainage Buffer Map Figure 3h.Run Off Map

Saranaathan. S. E. et al /International Journal of ChemTech Research, 2016,9(3),pp 248-253. 252 Figure 4.Landslide Susceptibility Map Table 1. Data layer and Landslide Susceptibility Zonation weight & Scores S. No Data Layer Classes Weightage Score Low 9 1 Drainage Density Moderate 8 30 High 6 Very High 4 2 Drainage Intensity 3 Drainage Buffer Run Off 5 Slope Low 8 Moderate 10 6 High 4 0 3 25 9 25 50 6 100 4 Low 9 Moderate 25 7 High 5 Gentle Slope 8 Moderately Slope 8 Moderately Steep to Steep Slope 7 10 Strongly Slope 5 Very Steep Slope 6 Very Very Steep Slope 6

Saranaathan. S. E. et al /International Journal of ChemTech Research, 2016,9(3),pp 248-253. 253 7. Acknowledgment The authors thank Prof. R. Sethuraman, Vice-Chancellor of SASTRA University, Thanjavur for having given us facilities to carry out this work. Dr. Bhoop Singh, Head, NRDMS division, Department of Science & Technology, New Delhi for the financial support for research project entitled Geo-environmental factors Assessment and Slope Stability Analysis on 6.5 km Ghats section from 103/6 to 109/8 km stone on SH 37, Nadugani, Gudalur, The Nilgiris and encouragement provided to undertake this work. References 1. Anbalagan R, An overview of landslide hazards in Himalaya, available knowledge base, gaps, and recommendation for future research. Himal Geol., 1996, 17: 165 167. 2. Anon 1998, Hill Road Manual, Published by The Indian Road Congress, New Delhi, 1998. 3. Anon 1999, Manual of Arc Info 10.1, ESRI, America. 4. Kannan M, Saranathan E, Anbazhagan R, Evaluation of vulnerable zones in Bodi-Bodimettu Ghat section, Bodinayakkanur Taluk, Theni District, Tamil Nadu, Indian Landslides, 2011b, 4(1): 39 44. 5. Kannan M, Saranathan E, Anbalagan R, Landslide vulnerability mapping using frequency ratio model: a geospatial approach in Bodi-Bodimettu Ghat section, Theni district, Tamil Nadu, India. Arab J Geo science., 2013, 6(8): 2901 2913. 6. Ramani SE, Pitchaimani K, Gnanamanickam VR, GIS based landslide susceptibility mapping of Tevankarai Ar sub-watershed, Kodaikkanal, India using binary logistic regression analysis. J Mt Science., 2011, 8(4): 505 551. 7. Saranathan E, Rajesh Kumar V, Kannan M, Landslide macro hazard zonation of the Yercaud Hill slope ghat section km 10/4 to 29/6, Indian Landslides., 2010, 3(1): 9 16. 8. Saranathan E, Ravindar S, Chandrasekaran R, Gopinath K, Kannan M, Landslide susceptibility zonation for Kumuli Ghat section, Theni District, Tamil Nadu, Indian Landslides., 2011, 4(1): 45 50. 9. Varnes DJ, Slope movement types and process, In: Landslides, analysis and control, Transportation Research Board Special Report., 1978, 176: 11 33. *****