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

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

Morphometric Analysis for Hard Rock Terrain of Upper Ponnaiyar Watershed, Tamilnadu A GIS Approach

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

Evaluation of Morphometric parameters of drainage networks derived from Topographic Map and Digital Elevation Model using Remote Sensing and GIS

CHAPTER V WATERSHED CHARACTERIZATION USING GIS

About the Author: E mail ID: Contact: proceedings. Page 1 of 8

MORPHOMETRIC ANALYSIS OF ADYAR WATERSHED

Morphometric Estimation of Parameters of Uttar Mand River Basin, Satara District, Maharashtra, India.

GIS based quantitative morphometric analysis and its consequences: a case study from Shanur River Basin, Maharashtra India

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 1, No 4, 2011

Block Level Micro Watershed Prioritization Based on Morphometric and Runoff Parameters

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

Morphometric Analysis Of Bhogavati River Basin, Kolhapur District, Maharashtra, India.

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

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 3, No 1, 2012

Morphometric analysis of Kharlikani watershed in Odisha, India using spatial information technology Kishor Choudhari 1, Panigrahi B 2, Paul J.

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

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

Morphometric Analysis for Evaluating Groundwater Potential Zones, In Kusangai Jor Watershed Area, Dist. Bolangir, Orissa.

Geographical Information System Based Morphometric Analysis of Halia Drainage Area, Nalgonda District, Andhra Pradesh, India

Prioritization of sub-watersheds in semi arid region, Western Maharashtra, India using Geographical Information System

International Journal of Research (IJR) Vol-1, Issue-10 November 2014 ISSN

MORPHOMETRIC ANALYSIS OF LAKSHMANTIRTHA RIVER BASIN AROUND HUNSUR TALUK, MYSORE, KARNATAKA, (INDIA)

Keywords: Morphometry, Upper river basin, Remote sensing GIS, spatial information technology

CHAPTER 4 THE INFLUENCE OF RIVER BASIN MORPHOLOGY ON RIVER GROUNDWATER INTERACTION

Morphometric Analysis of Shaliganga Sub Catchment, Kashmir Valley, India Using Geographical Information System

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

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

Water & Climate; Floods & Droughts (The yin & yang of water availablilty) Water & Climate; Floods & Droughts (The yin & yang of water availablilty)

[Penumaka, 7(1): January-March 2017] ISSN Impact Factor

Morphometric Analysis of Jiya Dhol River Basin

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

Simplify Equation to Calculate Elongation River Basin Proposed by Schumm (1956)

FOREST RESEARCH INSTITUTE, DEHRADUN

MORPHOMETRY OF BUGGAVANKA WATERSHED IN KADAPA, ANDHRA PRADESH, INDIA USING SPATIAL INFORMATION TECHNOLOGY

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

Prioritization of Sub Watersheds using Morphometric Analysis: A Remote Sensing and GIS Perspective

Gis Based On Morphometric Analysis of Part of Manair River Basin in Karimnagar District, Telangana State.

Morphometric Analysis of Didessa River Catchment in Blue Nile Basin, Western Ethiopia

Prioritization using Morphometric Analysis and Land Use/Land Cover Parameters for Vazhichal Watershed using Remote Sensing and GIS Techniques

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 7, No 4, 2017

Each basin is surrounded & defined by a drainage divide (high point from which water flows away) Channel initiation

CHAPTER 9 SUMMARY AND CONCLUSIONS

Morphometric Analysis of Sonbhadra Sub- Watershed of Tawa Reservoir Catchment Area of Hoshangabad District, Madhya Pradesh using GIS Techniques

MORPHOMETRIC ANALYSIS OF RAJGARDH WATERSHED OF MADHYA PRADESH

Floodplain modeling. Ovidius University of Constanta (P4) Romania & Technological Educational Institute of Serres, Greece

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

ABSTRACT. 2. Location : 31 o 04'16'' to 32 o 31'27'' North Latitudes and 74 o 30'38'' to 76 o 08'45'' East Longitudes

Gully erosion and associated risks in the Tutova basin Moldavian Plateau

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

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

Chapter 1 Quantitative Analysis of Geomorphometric Parameters of Wadi Kerak, Jordan, Using Remote Sensing and GIS

Chapter 4 : Morphometric Analysis

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

How Do Geology and Physical Streambed Characteristics Affect Water Quality?

MODULE 7 LECTURE NOTES 5 DRAINAGE PATTERN AND CATCHMENT AREA DELINEATION

INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY

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

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

Application of Watershed Erosion Response Model in Planning Resource Conservation of Dehrang Catchment, District Raigad

MORPHOMETRIC ANALYSIS OF TURSIQ BASIN EAST OF IRAQ USING REMOTE SENSING AND GIS TECHNIQUES

Chapter IV MORPHOMETRIC ANALYSIS AND STREAM NETWORK CHARACTERISTICS IN GADAG DISTRICT

Morphometric Analysis of Siswan Drainage Basin, Punjab (India) using Geographical Information System

Drainage Morphometric Analysis of Watershed Basin of River Beas at Harike Pattan, Punjab-Using Remote Sensing and GIS Approach

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

HW #2 Landscape Travel from A to B 12,

A Case Study: Morphometric Characteristics of Sub-Watershed (P- 17) in Paras Region, Akola District, Maharashtra, India using Remote Sensing & GIS

International Journal of Advancements in Research & Technology, Volume 2, Issue 5, M ay ISSN

Assessing Vulnerability to Soil Erosion of a Watershed of Tons River Basin in Madhya Pradesh using Remote Sensing and GIS

Geomorphological Analysis of Aralamallige Watershed, Bangalore Using Remote Sensing and GIS Approach

Chapter 5. Morphometric Control on Food

Dr. S.SURIYA. Assistant professor. Department of Civil Engineering. B. S. Abdur Rahman University. Chennai

ABSTRACT. Watershed management has emerged as a new paradigm for planning,

Surface Water and Stream Development

A comparative study of the Morphometric Analysis of High land sub-watersheds of Meenachil and Pamba Rivers of Kerala, Western Ghats, South India

International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December-2013 ISSN

Extraction of Drainage Pattern from ASTER and SRTM Data for a River Basin using GIS Tools

ESTIMATION OF MORPHOMETRIC PARAMETERS AND RUNOFF USING RS & GIS TECHNIQUES

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

Name: Mid-Year Review #2 SAR

ANALYSIS OF MORPHOMETRIC PARAMETERS OF A PAVANA RIVER BASIN, INDIA USING ASTER (DEM) DATA AND GIS

WATERSHED CHARACHTERIZATION AND PRIORITIZATION OF TULASI SUBWATERSHED: A GEOSPATIAL APPROACH

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

International Journal of Advance Engineering and Research Development

Bonfring International Journal of Industrial Engineering and Management Science, Vol. 2, Special Issue 1, July

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

MORPHOLOGICAL PARAMETER ESTIMATION DERIVED FROM TOPOSHEETS AND ASTER DEM A STUDY ON WATERSHEDS OF DAKSHINA PINAKINI RIVER BASIN IN KARNATAKA, INDIA

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

PRIORITIZATION BASED ON MORPHOMETRIC ANALYSIS OF DUDHGANGA CATCHMENT,KASHMIR VALLEY, INDIA. USING REMOTE SENSING & GEOGRAPHIC INFORMATION SYSTEM.

16 th Esri India User Conference 2015

University Grants Commission, New Delhi Recognized Journal No ISSN: Print: ISSN: Online: X

Basin characteristics

Morphometric Analysis of Chamundi Hills, Mysuru, India Using Geographical Information System

Determination of flood risks in the yeniçiftlik stream basin by using remote sensing and GIS techniques

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

INTERNATIONAL JOURNAL OF APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY

Using GIS Techniques and Quantitative Morphometric Analysis to Evaluate the Groundwater Resources in the Central Flinders Ranges, South Australia

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

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

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

Transcription:

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 8, No 1, 2018 Copyright by the authors - Licensee IPA- Under Creative Commons license 3.0 Research article ISSN 0976 4380 Sub-watershed prioritization based on potential zones of Kuttiadi river basin, A Geo-Morphometric approach Sumesh. K 1, Vijayan. P.K 2 1- Research Scholar, Department of Geography, Kannur University, Kannur, Kerala 2- Associate Professor & Head, Department of Geography, Kannur University, Kannur, Kerala skgeo@rediffmail.com ABSTRACT Natural potential zones of river basin provide an insight to developmental activities especially in rural areas. The present work is to identify the potential zones of sub-watersheds of Kuttiadi river basin. The Kuttiadi river basin is been divided into 47 sub-watershed and morphometric features of all sub-watersheds are calculated using Geographic Information System Technique using ArcGIS-10 software. The sub-watersheds were ranked according the value of morphometric parameters. Average of these ranking were used to classify sub-watersheds in three potential zones namely high, medium and high. The lineament, geology, geomorphology, slope and soil parameters of Kuttiadi river basin were also taken into consideration for the prioritization. The feature class data converted to raster based on assigned rank. Weighted sum of the raster layers reveals the potentiality of the each subwatersheds of the river basin. Based on the potentiality the potential zones of sub-watersheds has been identified and quantified. Keywords: Morphometry, Potential zone, Sub-watershed, GIS 1. Introduction The use of natural resources in regional economic development hardly needs to be emphasized. The increasing need for natural resources consequent upon agricultural development may be met by intensive and extensive available resources. For drainage basin, though viewed differently by geologists and hydrologist in terms of form vs. process, is considered as the fundamental landscape unit responsible for the collection and distribution of water and sediment (Ritter et. al.1995). The quantitative analysis of drainage system is an important aspect of characterization of watershed (Strahler, 1964). The term morphometry is used in several disciplines to mean the measurement and analysis of form characteristics; in geomorphology it is applied to numerical examination of landform, which may be properly termed Geo-morphometry (Gardiner.V, 1982). Morphological parameters along with hydrological parameters can be used to quantify and simulate the hydrological behavior of the various basins, particularly un-gagged catchments (Maidment, 1993; Chalam et. al., 1996). Geo-Morphometric analysis is the technique used for the quantitative analysis and description of geometric-topologic character of a basin area. Geo-Morphometry of watersheds provides substantial information concerning the surface parameters like relief, hydrological, climatic, basin geometry, surface characteristics of ground, and climatic controls on drainage network organization. This technique has emerged as a power full tool to identify potentiality more accurately, as they Submitted on September 2017 published on January 2018 1

provide a flexible environment and commanding tool for manipulation, integration and analysis of spatial information for better understanding. (Sreedevi. P D, 2004). This paper presents a geo-morphometric methodology, which uses remote sensing and geographical data with Geographical information system-based analysis to quantify the potentiality and prioritize sub-watersheds of Kuttiadi river basin. 1.1 Study Area The longitudinal extension of the river basin is 75 O 34 33 to 75 O 58 55 East and the latitudinal extension is 11 O 21 45 to 11 o 44 33. The Kuttiadi river originating from the Narikota Range of the western slopes of Wayanad Hills, which is a part of Western Ghats situated at an elevation of 1220 m M.S.L. Kuttiadi River flows through two districts namely Kozhikkode and Wayanad (Figure:1.1). The Badagara, Quilandy and Kozhikode are the Taluks in which the river is flowing. (Panchayath level Statistics, Kozhikode 2011). The river is also known as the Murat River in Badagara Taluk. Total area drained by Kuttaidi river is 667 Km 2. The physiography division of the watershed is classified into three according to the altitude. Coastal plains occupied 1.53% as a narrow stretch in the beach. The lowland with 10-300 meters consists 72.43% of the total area. Highland consists 26.04% of area which is located in the eastern side of the watershed. Maximum height is 1750 m in the watershed. Figure 1: Study area map 2

2. Objectives 1. To quantify morphometric parameters of Kuttiadi river basin. 2. To identify and quantify the potential areas to prioritize the sub-watersheds of Kuttiadi river basin. 3. Methodology Kuttiadi watershed and its 47 sub-watersheds are traced, scanned, geometrically corrected and digitized from Kerala watershed atlas prepared by Kerala State land Use Board using ArcGIS 10 software. The Drainage network is digitized from survey of India topographical map at a scale of 1:50,000 (Figure: 1.2). The eleven morphometric parameters, such as mean bifurcation ratio, stream frequency, drainage density, drainage texture, and length of over land flow, form factor, elongation ratio, circulatory ratio, shape factor, compactness ratio and Infiltration number of each sub-watershed is calculated. The value of the morphometric parameters is ranked from 1 to 47 according there prospective to the morphometric potential. The Morphometric compound value (MCv) is calculated by dividing the sum of ranks of all sub-watersheds by the total number of morphometric parameters. Then the sub-watersheds were classified into three classes, namely high, medium and low according to morphometric compound value and converted to raster format based on the weightages 3, 2 and 1 respectively. Geographic compound value (GCv) calculated by using Geology, Geomorphology, Lineament density, slope, and soil parameters of the river basin. Layer of Geology, Geomorphology, Lineament density, and Slope map of the basin, downloaded from Bhuvan, ISRO Geo-portal digitized and converted to raster format based on appropriate rank. Maps of soil parameters prepared by Soil Survey of India, digitized and converted to raster format and appropriate rank is given based on the potentiality to infiltrate and penetration of water. The weightage sum analysis in Arc GIS 10 software used to demarcate potential subwatersheds of Kuttiadi River Basin for prioritization. 4. Analysis 4.1 Morphometric parameters Bifurcation ratio (Rb), Mean bifurcation ratio (Rbm), Stream frequency (Fs), Drainage density (Dd) (Figure.1.2), Drainage Texture (Rt), Length of over land flow (Lg), Form factor (Rf), Elongation ratio (Re), Circulatory ratio (Rc), Shape factor (Bs), Compactness ratio (Cr), and Infiltration Ratio (If) are the major parameters taken for morphometric analysis. Table number 1 shows the details and ranking of morphometric parameters. 3

Morphometric Parameter Table 1: Ranking of morphometric parameters Parameter Symbol Lowest Value Highest Value Indicators of drainage network Ranking Highest1 Lowest 47 Mean bifurcation Ratio Rbm 0 3.09 1 47 Stream frequency Fs 0.22km 2 10.40 km 2 1 47 Drainage density Dd 0.42 km/ km 2 3.8 km/ km 2 1 47 Drainage texture Rt 0.07 8.65 1 47 Length of overland flow Lg 0.13 1.20 47 1 Form Factor Rf 0.08 0.77 47 1 Elongation ratio Re 0.33 0.99 47 1 Circulatory ratio Rc 0.08 0.70 47 1 Shape factor Bs 1.28 11.67 1 47 Compactness ratio Cr 1.18 1.47 1 47 Infiltration Ratio If 0.13 27.49 1 47 Source: Compiled by Author Source: Watershed Atlas Ministry of Agriculture & Kerala State Land Use Board Figure 2: Stream order and sub-water shed 4

4.2 Morphometric Compound Value (MCv) The MCv is derived by dividing the sum of rank of all morphometric parameters by total number of morphometric parameters. The MCv value ranges from 9 to 42. The highest value indicated the sub-watershed excellent in potential based on morphometric parameters and lowest values indicate poor in potential. 4.3 Geomorphic parameters Geomorphic parameters include Lineaments, Geology, Geomorphology, and soil depth, Soil texture and slope of Kuttiadi river basin. Lineaments are ranked according to their density in each sub-watershed. 4.4 Lineaments A lineament may by a fault, fracture, master joint, a long and linear geological formation, the straight course of streams, vegetation served may be the result of faulting and fracturing and hence it is inferred that they are the areas and zones of increased porosity and permeability in hard rock areas. (O'Leary et al. (1976). The density of lineaments found in the each subwatershed has been calculated. The sub-watersheds were ranked according to the density of lineaments, (Figure 3). Figure 3: Ranking of sub watersheds 5

4.5 Geology The charnockite rock weathers into low permeability clayey (low resistivity) materials with low groundwater discharge capacity. Gneisses and granites weathers into higher permeability sandy clay and clayey sand and sand with higher groundwater discharge capacity while quartzites fracture excellently to increase permeability. In Kuttiadi river basin two types of geological structures are observed, they are Charnakite, and Horn Blende Gneiss. Charnakite covers area of 101 km 2, which is 15.14 percentage of the total area, (Figure 1.4). Horn Blende Gneiss occupies 566 km 2, which is 84.86 percentage of the total area. 4.6 Geomorphology The geomorphic imprints of an area can be considered as an important indicator for identification of ground water conditions, (Figure: 1.5 and table 2). Table 2: Details of the geological structure Geomorphic Unit Area in km 2 Area in % Valley 73.28 10.99 Lower Plateau [Lateritic] 319.04 47.83 Flood Plain 10.95 1.64 Valley [Denudational Hills] 1.73 0.26 Young Coastal Plain 23.23 3.48 Denudational Hills 227.36 34.09 Islands [River/Kayal] 0.54 0.08 Waterbody 10.87 1.63 Total 667.00 100.00 Source: - Computed by Author 4.7 Soil depth Soil refers to the top few feet of the land surface. Soil acts as a natural filter to screen out many substances that mix with the water, but water will transport some contaminants into the groundwater, (Figure: 1.6). The soil depth and soil texture (Figure: 1.7) are the major parameters taken for this analysis, the details of soil parameters are shown in table 3. Table 3 Details of soil parameters Soil parameters Area km 2 Area in % Soil Depth Very deep 465.15 69.74 Deep 154.27 23.13 Moderately deep 15.66 2.35 Moderately shallow 3.95 0.59 Water body and Tank 27.97 4.19 Total 667.00 100 Soil Texture Gravelly clay 460.49 69.03 6

Clay 147.68 22.14 Gravelly loam 29.63 4.442 Sandy 1.3 0.194 Water body 27.97 4.182 Total 667 100 Source: - Computed by Author 4.8 Slope Figure 4: Soil Texture Slope of the Kuttiadi river basin is extracted from SRTM data (Figure: 1.3). The distribution of slope in percentage is shown in table number 4. Table 4: Details of the slope in percentage Slope in % Descriptions Area in km 2 Area in % 0-5% Level-gentle 228.81 34.36 5-15% Moderately sloping 95.11 14.36 15-35% Strongly sloping 183.97 27.58 35-70% Moderately steep to steep slop 128.69 19.29 >70% Very steep sloping 29.42 4.41 Source: Computed by Author Total 667 100 7

4.9 Ranking of Compound Values (MCv and GCv) for Raster analysis The compound values of each group of parameters are classified into three for converting to the raster format. Highest rank of 3 is given for high potential values and the lowest rank of 1 for lowest compound values. The raster maps of geology, geomorphology, soil, and slope are directly converted to raster format by giving appropriate rank according to their indication to ground water potential. The rank given to all parameters are shown in table number 1.5 Table 5: The ranking of compound values Geo_Morphometric Parameters Rank MCv Ranges from (9 to 42) 9 to 20 (Good) 3 20 to 31 (Moderate) 2 31 to 42 (Poor) 1 GCv Lineaments Density Ranges from 0 to 0.67 km Nil 0 Below 0.20 1 0.20 to 0.4 2 Above 0.4 3 Geology Charnakite 1 Horn Blende Gneiss 3 Geomorphology Valley 3 Lower Plateau [Lateritic] 3 Flood Plain 3 Valley [Denudational Hills] 1 Young Coastal Plain 3 Denudational Hills 1 Islands in River/Kayal 3 Soil Depth Very deep 3 Deep 2 Moderately deep 1 Moderately shallow 1 Soil Texture Gravelly clay 3 Clay 3 Gravelly loam 1 8

5. Results Sandy 1 Slope in percentage Level-gentle 3 Moderately sloping 2 Strongly sloping 1 Moderately to steep slop 1 Very steep sloping 1 Source: Compiled by Author The potential zones of Kuttiadi river basin quantified and categorized as high, medium and low, in which high potential area covers 231.63 km 2. It is 34.73% of total area of river basin which are mainly concentrated in the low land and also in midland and some valley areas of high lands. Moderate potential area covers 217.51 km 2 i.e. 32.61% of the total area especially concentrated in midlands and valleys of high land area. Low potential area covers in high land area and hilly areas of midland and low land of river basin. It covers 190.54 km 2. It is 28.57% of the total area of Kuttiadi river basin. Remaining 27.32 km 2 area is water body of river basin (Figure 1.8) Figure 5: Potential zones 9

5.1 Sub-watershed Prioritization Based on potential area concentration in different sub-watershed, the sub-watersheds have been classified into three category of prioritization namely, High, Medium and Low (Figure: 1.9). The priority classification is based on the area which covers more than 50% in the category of potential zone in a single sub-watershed. There are 21 sub-watersheds has been categorized as Low priority watersheds. There are 12 sub-watersheds comes under Medium priority class. Remaining 14 sub-watersheds fall under High priority sub-watersheds. The table 1.6 shows the area of potential zones in the sub-watersheds of the Kuttiadi river basin. Table 6: Watershed wise Concentration of potential zones Watershed No. Watershed Number High Potential Zones Area in km 2 Medium Low Total 28K39 68.71 19.83 0.01 88.55 28K13 24.59 22.55 49.62 96.76 28K9 18.19 21.24 1.49 40.92 28K44 14.48 4.14 0.00 18.62 28K8 13.15 13.18 1.36 27.69 28K12 10.28 0.39 0.00 10.68 28K40 6.09 6.63 0.83 13.55 28K7 6.04 2.52 0.03 8.59 28K45 5.91 0.04 0.00 5.95 28K37 5.65 0.04 0.00 5.69 28K4 5.06 4.15 0.05 9.27 28K42 4.47 17.49 0.58 22.53 28K46 4.32 0.02 0.00 4.33 28K38 4.14 0.06 0.00 4.21 28K41 3.84 2.54 0.38 6.76 28K3 3.51 1.56 0.00 5.07 28K1 3.49 0.88 0.00 4.37 28K10 3.38 8.26 0.09 11.74 28K6 3.20 1.68 0.00 4.88 28K2 3.12 2.69 0.00 5.81 28K47 2.67 0.00 0.00 2.67 28K36 2.60 0.12 0.00 2.72 28K5 2.54 2.22 0.00 4.76 28K35 2.13 1.00 0.00 3.13 28K17 2.10 1.49 0.01 3.59 28K43 1.56 6.02 0.00 7.58 28K15 1.30 15.75 12.63 29.68 28K14 1.26 3.17 1.54 5.97 28K34 1.05 2.16 1.30 4.51 28K11 0.78 4.87 1.93 7.58 28K21 0.58 12.38 4.67 17.64 28K26 0.53 2.95 0.12 3.60 28K16 0.25 21.71 31.80 53.77 28K31 0.25 2.95 1.33 4.53 28K27 0.01 0.83 11.80 12.64 28K18 0.01 5.67 24.52 30.20 28K33 0.01 0.85 0.29 1.15 10

28K22 0.00 1.10 7.25 8.36 28K25 0.00 0.91 3.22 4.13 28K24 0.00 0.50 1.90 2.40 28K20 0.00 0.35 0.65 1.00 28K19 0.00 0.30 4.33 4.63 28K29 0.00 0.27 4.85 5.12 28K23 0.00 0.12 3.54 3.66 28K32 0.00 0.06 0.32 0.37 28K28 0.00 0.03 13.95 13.98 5.2 Conclusion Figure 6: Prioritization of water sheds The result of the analysis shows that the parameters considered for the delineation of potential zone of Kuttiadi river basin found most appropriate according to the field evaluation. The morphometric parameters along with, geomorphic parameters (Geo-Morphometric) is a good indicators to identify the potentiality of resources. The use of Geographical Information System in geo-morphometric analysis provides accurate and precise spatial information in such analysis. 6. References 1. Chalam, B.N, Krishnavni M, Karmegaam.M., (1996), Correlation analysis of runoff with geographic parameters. Journal of Applied Hydrology, 9(3-2), pp 24-31. 11

2. Chitra. C, Alaguraja. P, Ganeshkumari. K, Yuvaraj. D and Manivel. M., (2011), Watershed characteristics of Kundah sub basin using remote sensing and GIS techniques, International journal of geomatics and geosciences, 2, pp 311-335. 3. Gardiner.V., (1982), Drainage basin Morphometry: quantitative analysis of Drainage basin form, Perspective in Geomorphology, Concept publishing company, New Delhi, pp 107-142. 4. Maidment, D.R., (1993), Handbook of apllied hydrology, McGraw Hill Inc., New York. 5. O'Leary, D. W., Friedman, J. D., & Pohn, H. A., (1976), Lineament, linear, lineation: Some proposed new standards for old terms: Geological Society of America Bulletin, 87, pp 1463-1469. 6. Panchayat Level Statistics (2011), Kozhikode district, Government of Kerala, Department of economics & statistics, Thiruvananthapuram 7. Ritter, D.F., Kochel, R.C., and Miller, J.R., (1995), Process Geomorphology 3rd Ed.: W.C. Brown publishers, Dubuque, IA, p 539. 8. Sreedevi, P.D et. al., (2005), The significance of morphometric analysis for obtaining groundwater potential zone in structurally controlled terrain, Environ Geol, 47, pp 412-420 9. Strahler, A.N., (1964), Quantitative geomorphology of drainage basins and channel networks. In: V.T. Chow (Ed.) Handbook of applied hydrology. New York: McGraw- Hill, pp 439-476. 10. Watershed Atlas Ministry of Agriculture& Kerala State Land Use Board. 12