Check Dam Construction by Prioritization of Micro …...micro watershed based on Morphometric...

Bonfring International Journal of Industrial Engineering and Management Science, Vol. 2, Special Issue 1, July 2012 20

ISSN 2277 - 5056 | © 2012 Bonfring

Abstract--- Water is one of the essential natural resources

of the whole world, the demand of water used by agriculture,

industry, and human and cattle consumption is the

increasing rapidly, particularly with the water resources

and its consumption will be increasing with the increase in

population.

The Morphometric analysis is one of the significant GIS

tool for Check dam construction and prioritization of Micro

Watershed even without soil map and land use/land cover

map. The morphometric parameters depends on the

behavior of total drainage system and its refers to spatial

relationship among streams or rivers. The parameters were

obtained with the help of Arc GIS and MS Office. The results

revealed that the Micro Watershed priorities are shows five

categorizes very high, high, medium, low and very low

priority, Seventeen suitable sites were identified for check

dam construction in fourteen highly prioritized Micro

Watershed.

Keywords--- GIS, Algorithms, Arc GIS, MS Office

I. INTRODUCTION

WATERSHED is an ideal unit for management of

natural resources that also supports land and water

resource management for mitigation of the impact of natural

disasters for achieving sustainable development. The

significant factor for the planning and development of a

watershed are its physiography, drainage, geomorphology,

soil, land use/land cover and available water resources.

Remote Sensing and GIS are the most proven tools for

watershed development, management and also the studies

on prioritization of micro-watersheds development and

management. Morphometric Analysis could be used for

prioritization of micro-watersheds by studying different

linear and aerial parameters of the watershed even without

the availability of soil maps. [1]

Water is one of the essential natural resource, without

which life cannot exist. Demand of water is increasing

with the increase of population. We need water for

agriculture, industry, human and cattle consumption.

Therefore it is very important to manage this very essential

resource with sustainable manner. Hence, we need proper

management and development planning to restore or

recharge water where runoff is very high due to various

V.S.S. Kiran, Geospatial Application Engineer, RSI Softech India

Pvt.ltd, Siliguri-734001, E-mail: [email protected] Y.K. Srivastava, Scientist, Regional Remote Sensing Service

Center-East, Kolkata, E-mail: [email protected]

topographical conditions. If proper management is planned

that will not only control surface soil erosion but also

recharge ground water. Remote Sensing and GIS have

become proven tools for the management and development

of water resources. Several studies have been carried out

worldwide and they have shown excellent results. Due to

advancement in satellites and sensing technology, it is

possible to map finer details of the earth surface and provide

scope for micro level planning and management. The study

area that is taken has severe water crises during the summer

season. The terrain is highly undulating with very high

runoff which causes minimum recharge of ground water

inspite of 1750 mm average annual rainfall. This high runoff

also causes the erosion of very fertile soil.

Figure 1: Location Map of Study Area

The present study aims at for the identification of

suitable sites for check dam construction by prioritization of

micro watershed based on Morphometric analysis using

Remote sensing data and GIS overlaying techniques. This

study is mainly helpful for the increasing agricultural based

livelihood and also to supplying the greater level of

irrigation facilities.

II. STUDY AREA

The study area has been taken is a part of Silai River

Basin in Simlapal block of Bankura district part of West

Bengal State. It is located on 22˚59’38.84”North to

22˚50’34.42”North latitude and 86˚55’20.15” to

87˚13’06.10” East longitudes. It has an average elevation of

57mtr (187 feet’s). Simlapal is a community development

block is in Khatra subdivision of Bankura district in West

Check Dam Construction by Prioritization of Micro

Watershed, using Morphometric Analysis as a

Perspective of Remote Sensing and GIS for

Simlapal Block, Bankura, W.B

V.S.S. Kiran and Y.K. Srivastava

A


ISSN 2277 - 5056 | © 2012 Bonfring

Bengal state, and it is bounded by the Khatra block in west,

Taldangra block in north, Sarenga block is south and also

covered west Midnapur district in east. The geographic

area of this block is 309.20 Sq Kms (119sqmile or 1144.04

hectares). (Fig-1)

III. METHODOLOGY

Standard False Color Composite (FCC) of high

resolution remote sensing data have been used for the

generation drainage network map. Whereas GIS have been

used as added tool for preparation of many vector layers.

Using all derived maps and vector layers, detailed analysis

is performed using Morphometric analysis parameters for

prioritization of micro-watersheds.

Table 1: Morphometric Parameters

S. No. Morphometric Factors Formulas

1 Drainage Density(Dd) Dd =

(Horton, 1945)

2 Stream frequency(Fu) Fu = N/A

(Horton, 1945)

3 Texture Ration(T) T =

(Horton, 1945)

4 Form Factor(Rf) Rf =

(Horton, 1945)

5 Circularity Ratio(Rc)

(Miller, 1953)

6 Elongated Ratio(Re) Re =

(Schum, 1956)

7 Compactness

Coefficient (Cc)

Cc =

(Horton, 1945)

8 Shape Factor (Bs) Bs =

(Horton, 1945)

9 Length of Overland

Flow (Lo)

Lo =

(Horton, 1945)

10 BIFURCATION RAIO

(Rb)

Rb =

(A. N. Strahler, 1956)


ISSN 2277 - 5056 | © 2012 Bonfring

Figure 2: Flow Chart of Methodology

“Where, A is the Area of MWS, P is the Perimeter of

MWS,N is the Total number of Stream Order,N1 is the Total

Number of first order streams,Nu is the Number of streams

of order u,Nu+1us the Number of streams of next higher

orders u,Lb is the Basin length in kms,L is the Total length

of all channels of all order in the drainage basin. “

The study area is covered by 73J/13 & 73N/1 Survey of

India toposheets on 1:50,000 scale and IRS LISS III & IV

satellite imagery with 23.5 and 5 meter resolutions, which

was acquired on 17th February 2003 and 21st January 2007

with path and row of 107/56 & 102/56 ware used as source

data.

IRS LISS-IV Data was geometrically corrected with

reference to already geo-corrected IRS LISS-III Data

keeping RMS Error within the range of sub-pixel and

geo-referenced image generated using nearest neighborhood

re-sampling method. The Lambert Conformal Conic

projection was used with Everest datum for the

geo-referencing. An AOI (Area of interest) layer of the

study area was prepared and applied to IRS LISS-IV data

for extraction of the study area. The methodology can be

divided into two parts one is rasterization and other one is

vectorization. The rasterization involves creation of

mosaicking, sub-set of image, image enhancement and land

use/ land cover maps etc. The vectorizations process

involves creation of vector layers like; administrative

boundaries (i.e. block and village boundaries), watershed

boundaries, drainage layers and also check dam positions

etc. . The drainage layer was digitized using Arc/Info tools.

The stream ordering was given to each stream is Using Arc

Info software by following Strahler [7] Stream ordering

technique. Stream order is a measure of the position of

streams in the hierarchy of the tributaries, the first order

stream which have no tributaries. (Fig-3, 3.1). Certain

limitations were followed in vectorization of

micro-watershed to maintain the physical area 5-10 Sq Kms.

Supervised classification technique was used to generate the

land use/land cover map. (Fig-4) Finally, the study area was

divided total 77 micro watersheds. The entire

methodology which has been adopted in this study is

explained in the flow chart (Fig-2).

Check Dam

Collateral Data

SOI

Reference Map

Geometric

Correction

Mosaicing of Maps

Extraction of

Study Area

Drainage Layer

Sub-Watershed

Micro-Watershed

Prioritized Map

IRS-1D

GCPS

Geometric

Rectification LU/LC

Layer

Morphometric

Analysis


ISSN 2277 - 5056 | © 2012 Bonfring

IV. RPHOMETRIC ANALYSIS

The morphometric analysis is one of the significant

geographical information system tool for prioritization of

micro-watershed even without soil map and land use/land

cover map. This model is depends on the behavior of total

drainage system. The drainage pattern refers to spatial

relationship among streams or rivers, which may be

influenced in their erosion by inequalities of slope, soils

rock resistance, structure and geologic history of a region.

Prioritization of micro- watershed in a water resource

management the morphometric analysis uses some very

crucial linear morphometric parameters such as Drainage

density (Dd), Texture ratio(T), Stream frequency (Fu),

Length of overland flow (Lo), Bifurcation ratio (Rb) and

aerial or shape morphometric parameters are Circularity

Ratio (Rc) , Elongated ratio (Re), Form factor (Rf), Shape

factor (Bs), Compactness coefficient (Cc). The

morphometric parameters computed for the analysis include

linear and aerial aspects (Table:1).

The parameters were calculated from area, perimeter,

basin length, drainage density, and stream length but

bifurcation ratio was calculated from the number of streams

in particular micro-watershed. Bifurcation ration being the

one of the very important parameter plays significant role in

prioritization of micro-watershed. All these parameters

were computed using ARC/INFO and MS Excel Software.

The values of all morphometric analysis are given in below

(Table 2). Linear aspects have a direct relation with the

erodability and aerial or shape aspect have indirect relation

with the erodability. The highest value of the linear

parameters was ranked as 1 and next highest value was

ranked 2 and so on, as well as the lowest value of aerial or

shape factor was ranked 1 and next lowest value was ranked

2 and so on (Table:3). After ranking of every single

parameter, the ranking value for every micro-watershed was

averaged to arrive at a compound value (Cp). The

Compound value is based on the average of all parameters

in single micro-watershed. Based on the derived Cp values

priority fixation was assigned to all the micro-watershed.

The priority fixation was categorized in the five categories

very high (≤30), high (>30≤37), medium (>37≤43), low

(>43≤50), very low (>50). Thus, out of 77 micro-watershed

14 were assigned very high priority as they have very low

compound values, 17 micro-watersheds were assigned high

priority, 15 micro-watersheds were assigned medium

priority having moderate compound values, 23

micro-watersheds assigned low priority with high

compound values and the remaining 6 micro-watersheds

were assigned very low prioritiy as they have very high

compounds values. The prioritization based on

morphometric analysis of all micro-watersheds of Simlapal

is shown in Table 3.

V. RESULTS & DISCUSSION

Prioritization of Micro-Watershed has been done by

using compound values derived by morphometric analysis.

Attributes of morphometric analysis is based on three

aspects namely linear, aerial and shape. These three

aspects were taken in consideration for deriving ten

parameters and computation of compound values. Based

on compound values 14 micro-watersheds were found very

high category, 17 micro-watersheds were found high

priority, 15 micro-watersheds were found medium priority,

23 micro-watersheds were found low category and 6

micro-watersheds were found very low priority. Maximum

prioritized watersheds are medium to low category which

falls eastern and southern part of the study area. The

highly prioritized watersheds are covered north western part

of the area and it’s decreased from the western side to the

eastern and southern side of the study area. (Fig: 5)

VI. CONCLUSION

The results of morphometric analysis can be considered

as first hand information for the positioning the check dams.

Main focus have been given to the high priority micro-water

shed and considering the drainage pattern 17 location have

been marked for the construction of check dams on 3rd

and

4th

order of streams. If needed detailed analysis of land use/

land cover, soil and slope maps can be performed for the

better location of check dams. Hence, it will be worth to

mention here that the morphometric analysis alone may not

be sufficient for the full proof decision on the construction

of check dams other related physical parameters also

required to be studied. The aim of this study was to

demonstrate the capabilities of remote sensing and GIS to

study the geometrical aspect of the watershed which are

very important in managing the watershed. The derived

information could be very much useful for the

administrative authorities to take certain measures in

management of water resources in the study area and they

can also performed certain decision making planning

activities for construction of check dam for improving water

availability.

REFERENCE

[1] Biswas, S., Sudhakar, S., and Desai, V.R, Prioritization of Sub-watershed based on Morphometric Analysis of Drainage Basin:

A remote sensing and GIS approach, Journal of the Indian Society

of Remote Sensing, 155-166, 1999. [2] Sachin, Prioritization of Micro-Watershed of Upper Bhama Basin on

the Basis of Soil Erosion Risk Using Remote Sensing and GIS

technology. Ph.D. Thesis, University of Pune, Department of Geography. 2005

[3] K. Nookaratnam et al., Y.K.Srivastava, V.VenkateswaraRao,

E.Amminedu and K. S. R .Murthy, Check Dam positioning by prioritization of micro-watershed using SYI models and

Morphometric Analysis : A remote sensing and GIS approach journal

of Indian society of Remote Sensing, Vol 33, No.1,2005 [4] S. K. Nag et al., Morphometric Analysis using Remote Sensing

techniques in the Chakra sub-basin Purulia district,- journal of Indian

Society of remote-sensing ,vol.26, no.1&2, 1998. [5] JVS MURTHY. Watershed Management In India,21-34

[6] Suresh. R, Soil and Water Conservation Engineering. Standard

published distr., Delhi. 48-51, 1997 [7] Strahler, Quantitative Geomorphology of basins and channel

networks, Handbook of applied hydrology, Published Mc. Grew Hill

book, New York. 1964

Mr. V.S.S.KIRAN was born in Jamshedpur, Jharkhand India, on July 26, 1986.He received his

B.A degree in Geography Honors in 2008 from

Ranchi University, Ranchi and M.Sc. degree in Remote Sensing and GIS in 2010 from Vidyasagar

University Paschim Midnapur. Presently he is

working as Geospatial Application Engineer in the Defense field at RSI Softech India Pvt.ltd, Siliguri.

His areas of interest are Watershed management,

Land Use/Land cover mapping, 2d and 3d GIS and Other Remote Sensing and GIS applications. He has presented many papers in national. He is a

member of Geospatial Development Organization. He received a President

Rover award in 2007 from Bharat Scouts and Guides

.Mr. Y K Srivastava, MSc, working as scientist/engr - SE at Regional

Remote Sensing Centre - E, Indian Space Research Organisation, Kolkata.


ISSN 2277 - 5056 | © 2012 Bonfring

Areas of interest are; water resource management and urban related studies

using remote sensing and gis. Also got some international publication as

well as national publication. Attended several workshops and seminars and

presented technical paper on application of remote sensing and gis.


ISSN 2277 - 5056 | © 2012 Bonfring

MWS

ID

AREA

(Kms²)

PERIMETER

(Kms)

DRAINAGE

LENGTH

(Kms)

N N1

DRAINAGE

DENSITY

(Dd)

BASIN

LENGTH

(Lb)

STREAM

FREQUENCY

(Fu)

TEXTURE

RATIO (T)

FORM

FACTOR

(Rf)

CIRCULA-RITY

RATIO (Rc)

ELONGA-TED

RATIO (Re)

COMPACT-NESS

COEFFI-CIENT

(Cc)

SHAPE

FACTOR

(Bs)

Length of

Overland Flow

(Lo)

BIFURCATION

RAIO (Rb)

1 1.05335 4.759833 2.255782 7 4 2.141526 1.35131 6.6454455 0.84037 0.57685 0.5844874 0.856838 1.308301483 1.7335554 1.070762825 2

2 1.17849 5.024419 2.469149 7 4 2.095174 1.44028 5.9397872 0.79611 0.56811 0.5868676 0.850322 1.30564572 1.7602249 1.047587059 1.333333333

3 1.47757 5.223397 2.735231 5 3 1.851168 1.63771 3.3839337 0.57434 0.5509 0.6808112 0.837345 1.212221675 1.8152073 0.925584177 1.5

4 1.04885 5.882109 3.769112 7 3 3.593565 1.34803 6.6739737 0.51002 0.57719 0.381094 0.857088 1.620240086 1.7325458 1.796782401 0.75

5 2.48662 6.008947 5.596754 9 5 2.250743 2.2011 3.6193643 0.83209 0.51325 0.8657611 0.808225 1.074970081 1.9483665 1.125371684 1.75

6 3.1148 10.42792 6.223963 11 3 1.998189 2.50151 3.5315237 0.28769 0.49777 0.3600973 0.79594 1.666807542 2.0089736 0.999094268 0.875

7 4.59716 9.91387 8.634873 15 8 1.878307 3.12053 3.2628862 0.80695 0.4721 0.5880138 0.775148 1.304372525 2.1181964 0.93915355 2.05

8 4.05537 8.84204 3.528333 3 0 0.87004 2.906 0.7397599 0 0.48022 0.6520939 0.781786 1.238626363 2.0823792 0.435019909 0

9 6.88038 11.14195 7.00899 15 8 1.018693 3.92372 2.1801131 0.71801 0.44691 0.6967462 0.754182 1.198279407 2.2376025 0.509346378 2.05

10 1.7236 5.44535 1.926953 3 1 1.117983 1.78743 1.7405456 0.18364 0.53948 0.7307502 0.828622 1.170067525 1.8536296 0.558991519 2

11 2.57967 6.674102 1.334134 1 1 0.517172 2.24751 0.3876462 0.14983 0.51069 0.7280538 0.806209 1.172232267 1.9581251 0.258586053 0

12 3.12708 8.649281 3.975207 5 3 1.271221 2.5071 1.5989376 0.34685 0.4975 0.5254883 0.795728 1.379792783 2.0100483 0.635610735 1.5

13 1.89742 5.431363 3.269174 5 3 1.722953 1.88769 2.6351504 0.55235 0.53248 0.8085959 0.823225 1.112319733 1.8780107 0.861476615 1.5

14 4.43884 8.79915 6.172238 7 2 1.390508 3.05902 1.5769896 0.22729 0.47436 0.7207296 0.776997 1.178173441 2.1081246 0.695253948 2.25

15 2.89395 6.549796 5.097786 13 7 1.761531 2.39917 4.4921281 1.06874 0.50277 0.8480476 0.799931 1.086138672 1.9889803 0.880765722 3.2

16 3.42138 7.945941 3.30956 3 2 0.967317 2.63852 0.8768389 0.2517 0.49145 0.6812326 0.790876 1.211846735 2.0347875 0.483658572 2

17 5.41457 11.25644 9.190225 11 3 1.697315 3.42451 2.0315563 0.26651 0.46171 0.537213 0.766569 1.364652778 2.1658698 0.848657262 1.055555556

18 4.64519 9.546993 6.584482 15 8 1.417484 3.139 3.229146 0.83796 0.47143 0.6407004 0.7746 1.249591066 2.1211929 0.708741774 1.708333333

19 1.97354 7.750802 2.560535 6 3 1.297434 1.93034 3.0402268 0.38706 0.52964 0.4129872 0.821026 1.556420997 1.8880828 0.648717237 1

20 2.40284 7.968614 4.051034 9 5 1.685935 2.15867 3.7455657 0.62746 0.51565 0.475712 0.810111 1.450184799 1.9393057 0.842967477 1.25

21 3.4062 7.62362 2.855509 5 3 0.838326 2.63186 1.4679097 0.39351 0.49175 0.7367715 0.791115 1.165276546 2.0335576 0.419163002 1.5

22 6.39886 11.85992 7.05947 7 2 1.103239 3.7653 1.0939448 0.16864 0.45134 0.5719051 0.757912 1.322614911 2.215632 0.551619331 0.833333333

23 4.4414 8.635415 4.679956 7 3 1.053711 3.06003 1.5760791 0.34741 0.47432 0.7487524 0.776967 1.155916019 2.1082902 0.526855735 1.666666667

24 4.41137 10.26001 6.659601 11 5 1.509646 3.04826 2.4935581 0.48733 0.47476 0.5268201 0.777325 1.378047644 2.1063456 0.754822799 2.6

25 2.7954 9.725953 2.590699 3 1 0.926773 2.35241 1.0731925 0.10282 0.50514 0.3715044 0.801818 1.641018389 1.9796299 0.46338651 0.5

26 3.79408 8.034549 2.439533 1 1 0.642984 2.79812 0.2635687 0.12446 0.48459 0.7388697 0.785334 1.163620812 2.0636028 0.321492181 0

27 3.77871 8.099532 4.870817 5 1 1.289016 2.79168 1.3232027 0.12346 0.48486 0.7241164 0.785551 1.175414956 2.0624641 0.644507857 1.666666667


ISSN 2277 - 5056 | © 2012 Bonfring

28 4.82331 8.812043 4.2549 3 0 0.882153 3.20682 0.6219792 0 0.46903 0.7808665 0.772621 1.131897221 2.1320758 0.441076542

0.5

MWS

ID

AREA

(Kms²)

PERIMETER

(Kms)

DRAINAGE

LENGTH

(Kms)

N N1

DRAINAGE

DENSITY

(Dd)

BASIN

LENGTH

(Lb)

STREAM

FREQUENCY

(Fu)

TEXTURE

RATIO (T)

FORM

FACTOR

(Rf)

CIRCULA-RITY

RATIO (Rc)

ELONGA-TED

RATIO (Re)

COMPACT-NESS

COEFFI-CIENT

(Cc)

SHAPE

FACTOR

(Bs)

Length of

Overland Flow

(Lo)

BIFURCATION

RAIO (Rb)

29 6.2999 10.01587 5.293509 3 0 0.840253 3.73212 0.4761982 0 0.4523 0.7894795 0.758716 1.125705998 2.2109403 0.42012657 0.5

30 2.21297 6.286959 2.63169 3 2 1.189211 2.06006 1.3556439 0.31812 0.52145 0.7038483 0.814658 1.19221853 1.9177163 0.594605662 2

31 3.08477 7.748569 2.489876 4 2 0.807151 2.48778 1.2966932 0.25811 0.49842 0.6458986 0.796465 1.244552517 2.0063281 0.4035757 1

32 1.9448 5.923228 1.857786 3 1 0.955258 1.91432 1.5425754 0.16883 0.5307 0.6968554 0.821846 1.198185532 1.88432 0.477629081 0.5

33 3.3937 8.117016 3.003638 3 1 0.885064 2.62637 0.8839921 0.1232 0.492 0.6475371 0.791313 1.242976936 2.0325404 0.442532046 0.5

34 6.22796 11.37332 7.559633 5 0 1.213822 3.70785 0.8028312 0 0.453 0.6052794 0.759309 1.285634313 2.2074898 0.60691087 1.666666667

35 4.29526 10.49201 3.5681 5 3 0.830706 3.00242 1.1640736 0.28593 0.47648 0.4905199 0.778737 1.42812784 2.0987188 0.415353101 1.5

36 3.1935 7.654786 3.878352 5 3 1.214451 2.53722 1.5656793 0.39191 0.49608 0.6851501 0.794591 1.208377276 2.0158026 0.607225489 1.5

37 3.51702 8.231918 5.484221 5 2 1.559338 2.68016 1.4216585 0.24296 0.48961 0.6524651 0.789394 1.23827403 2.0424312 0.779669007 0.666666667

38 4.50993 9.052729 4.527513 3 2 1.003899 3.08676 0.6651987 0.22093 0.47333 0.6918238 0.776158 1.202534811 2.1126851 0.501949254 2

39 3.88358 10.31354 4.640536 9 4 1.194913 2.83542 2.3174518 0.38784 0.48306 0.4589879 0.78409 1.476368501 2.0701566 0.597456557 1.333333333

40 6.92431 11.1951 7.437191 9 5 1.07407 3.93793 1.2997687 0.44662 0.44652 0.6945532 0.753856 1.200169676 2.2395402 0.537034856 2.333333333

41 2.15497 5.955269 5.47308 13 7 2.539746 2.02922 6.0325629 1.17543 0.52334 0.763877 0.816131 1.144415405 1.9108021 1.269873093 3.2

42 0.80297 4.181082 2.430922 9 5 3.027418 1.15825 11.208407 1.19586 0.59854 0.5774388 0.872799 1.316262213 1.6707316 1.513709233 1.25

43 4.18222 9.462495 2.247991 3 2 0.537512 2.95728 0.7173227 0.21136 0.47821 0.5871918 0.78015 1.305285173 2.0911201 0.26875582 2

44 3.6158 7.94861 2.76875 5 3 0.765736 2.72266 1.3828193 0.37742 0.48777 0.7194602 0.787909 1.179212316 2.0501399 0.38286806 1.5

45 2.75195 7.0886 1.129666 3 2 0.410497 2.33158 1.0901367 0.28214 0.50622 0.6885002 0.802672 1.205433845 1.9754168 0.205248449 2

46 0.88003 3.676035 1.533261 3 2 1.742285 1.22014 3.4089807 0.54406 0.59113 0.818695 0.867377 1.10543786 1.6916839 0.871142727 2

47 2.81144 7.158992 1.285033 2 2 0.457074 2.36007 0.7113804 0.27937 0.50475 0.6896187 0.801506 1.204455843 1.9811707 0.228536769 0

48 4.96744 10.78972 6.129848 7 3 1.234007 3.2609 1.4091778 0.27804 0.46715 0.5364101 0.771075 1.365673685 2.1406302 0.61700325 0.75

49 2.42649 6.938886 5.073953 7 4 2.091064 2.17071 2.8848221 0.57646 0.51496 0.6335547 0.809572 1.256618206 1.9418908 1.045532245 2

50 3.77119 7.714916 4.571731 11 6 1.212279 2.78852 2.916854 0.77771 0.48499 0.7965265 0.785658 1.120715283 2.0619051 0.606139603 1.833333333

51 5.84075 10.34762 6.043901 9 4 1.034782 3.5751 1.5408983 0.38656 0.45698 0.6857608 0.76263 1.207839077 2.1883027 0.517390878 0.8

52 5.28798 10.91838 5.390523 7 3 1.019391 3.3788 1.3237564 0.27477 0.4632 0.5576456 0.767804 1.339418421 2.1589128 0.509695667 1.666666667

53 4.54911 10.29887 4.817655 5 2 1.059033 3.10196 1.0991168 0.1942 0.47277 0.5391773 0.775702 1.36216459 2.1151717 0.5295166 0.666666667

54 2.551 7.556886 1.855925 3 1 0.727529 2.23329 1.1760109 0.13233 0.51147 0.5615763 0.806822 1.334722592 1.9551506 0.363764696 0.5


ISSN 2277 - 5056 | © 2012 Bonfring

55 3.4914 9.86382 1.301731 2 2 0.372839 2.66906 0.5728361 0.20276 0.4901 0.4511219 0.789787 1.489184249 2.0404014 0.186419694 0

56 6.16302 10.03895 3.757156 3 1 0.609629 3.68584 0.4867743 0.09961 0.45365 0.76878 0.75985 1.140760185 2.2043452 0.304814481 0.5

MWS

ID

AREA

(Kms²)

PERIMETER

(Kms)

DRAINAGE

LENGTH

(Kms)

N N1

DRAINAGE

DENSITY

(Dd)

BASIN

LENGTH

(Lb)

STREAM

FREQUENCY

(Fu)

TEXTURE

RATIO (T)

FORM

FACTOR

(Rf)

CIRCULA-RITY

RATIO (Rc)

ELONGA-TED

RATIO

COMPACT-NESS

COEFFI-CIENT

(Cc)

SHAPE

FACTOR

(Bs)

Length of

Overland Flow

(Lo)

BIFURCATION

RAIO (Rb)

57 5.39537 11.85662 4.334585 5 3 0.80339 3.4176 0.9267207 0.25302 0.46193 0.4824849 0.766755 1.439970376 2.1648238 0.401694982 1.5

58 7.24253 10.70496 10.00362 11 6 1.381232 4.03972 1.5188054 0.56049 0.4438 0.7945209 0.751556 1.122128885 2.2532677 0.690615998 1.2

59 5.72222 11.62894 9.402337 17 9 1.643128 3.53371 2.9708765 0.77393 0.45825 0.5319475 0.763694 1.371390122 2.1822094 0.821564166 1.625

60 2.79609 7.478741 1.020552 1 1 0.364992 2.35274 0.3576424 0.13371 0.50513 0.6284615 0.801804 1.26169991 1.9796965 0.182496228 0

61 6.08774 10.60122 5.053608 9 5 0.830129 3.6602 1.4783822 0.47164 0.45441 0.6809708 0.760485 1.212079675 2.2006636 0.415064689 2.3333333

62 5.42536 10.55835 6.006807 7 3 1.107172 3.42838 1.2902368 0.28414 0.46158 0.611816 0.766466 1.278748109 2.1664564 0.553585973 1.666666667

63 6.1577 12.11043 5.561387 4 2 0.903159 3.68403 0.6495929 0.16515 0.4537 0.5278183 0.759895 1.376743995 2.2040864 0.451579743 1

64 4.31526 11.23669 2.272903 4 2 0.526712 3.01036 0.9269421 0.17799 0.47618 0.4296507 0.778491 1.525940663 2.1000453 0.263356222 1

65 9.09469 14.65214 2.027935 5 2 0.22298 4.59754 0.5497717 0.1365 0.43027 0.5325618 0.740008 1.370598979 2.3241427 0.111490097 1.5

66 6.44666 11.63521 3.1758 1 0 0.492627 3.78126 0.155119 0 0.45088 0.5986472 0.757529 1.292736217 2.2178757 0.246313507 0

67 4.25014 8.360105 3.791922 3 2 0.892187 2.98447 0.7058587 0.23923 0.47717 0.7644775 0.779296 1.143965815 2.0957069 0.44609356 2

68 4.95198 11.12536 4.993029 5 3 1.008289 3.25513 1.0096963 0.26965 0.46735 0.502963 0.771239 1.410351571 2.1397234 0.504144344 1.5

69 1.93685 7.590725 1.531427 3 1 0.790677 1.90987 1.5489037 0.13174 0.53099 0.4225859 0.822075 1.538643127 1.8832711 0.395338703 0.5

70 4.10007 9.063721 1.10292 3 2 0.269001 2.92415 0.7316955 0.22066 0.4795 0.6274259 0.781203 1.262740694 2.0854857 0.134500275 2

71 5.24887 13.22413 1.651267 3 2 0.314595 3.36458 0.5715515 0.15124 0.46366 0.3773259 0.768191 1.628310094 2.1567342 0.157297371 2

72 3.48353 8.879076 1.671307 1 0 0.479774 2.66564 0.2870652 0 0.49025 0.5554801 0.789908 1.342026732 2.0397752 0.239887036 0

73 5.30161 11.85668 3.337994 3 0 0.62962 3.38374 0.5658663 0 0.46303 0.4740953 0.767669 1.45265536 2.1596684 0.314809777 2

74 3.41597 7.513405 1.272534 1 1 0.372525 2.63615 0.2927424 0.1331 0.49156 0.7607209 0.790961 1.146786892 2.0343498 0.186262272 0

75 2.94677 7.980335 2.7934 5 3 0.947955 2.42394 1.696776 0.37592 0.50154 0.5816851 0.798948 1.311449072 1.9938784 0.473977469 1.5

76 3.73364 7.573564 7.279132 18 10 1.949606 2.77272 4.8210287 1.32038 0.48565 0.8183082 0.786192 1.105699116 2.0591014 0.974802835 2.3333333

77 4.73872 8.628168 5.956045 11 6 1.256888 3.17475 2.3213007 0.6954 0.47016 0.8002188 0.773551 1.118126757 2.1269516 0.628444151 1.2

Table 2: Morphometric Analysis Results of All Micro-Watersheds


ISSN 2277 - 5056 | © 2012 Bonfring

MWS id PRIORITIZATION BASED ON Final Priority No

Dd Fu T Rf Rc Re Cc Bs Lo Rb Cp

1 5 3 5 74 29 74 49 4 5 24 27.2 1

2 6 5 9 73 30 73 48 5 6 54 30.9 2

3 11 12 16 72 44 72 34 6 11 70 34.8 2

4 1 2 20 75 4 75 74 3 1 10 26.5 1

5 4 9 7 62 77 62 1 16 4 57 29.9 1

6 8 10 34 52 1 52 77 26 8 69 33.7 2

7 10 13 8 25 32 25 46 53 10 11 23.3 1

8 52 58 76 36 42 36 36 42 52 29 45.9 4

9 41 23 12 4 53 4 25 74 41 2 27.9 1

10 33 25 54 71 60 71 18 7 33 65 43.7 4

11 67 72 60 60 59 60 19 18 67 19 50.1 5

12 25 27 32 51 15 51 63 27 25 61 37.7 3

13 14 19 18 70 73 70 5 8 14 7 29.8 1

14 21 28 48 29 57 29 21 49 21 35 33.8 2

15 12 7 4 55 76 55 2 23 12 33 27.9 1

16 44 56 45 46 46 46 32 32 44 38 42.9 3

17 15 24 42 15 21 15 57 63 15 1 26.8 1

18 20 14 6 24 39 24 39 54 20 45 28.5 1

19 23 15 27 67 5 67 73 11 23 26 33.7 2

20 16 8 14 64 11 64 67 14 16 12 28.6 1

21 54 36 24 48 61 48 17 30 54 66 43.8 4

22 35 49 57 6 26 6 52 72 35 36 37.4 3

23 38 29 31 28 63 28 15 50 38 14 33.4 2

24 19 20 21 30 16 30 62 48 19 50 31.5 2

25 47 51 69 58 2 58 76 20 47 72 50 4

26 62 76 66 38 62 38 16 40 62 30 49 4

27 24 42 67 39 58 39 20 39 24 3 35.5 3

28 51 65 75 22 68 22 10 56 51 56 47.6 4

29 53 71 73 7 69 7 9 71 53 60 47.3 4

30 32 40 33 65 55 65 23 13 32 64 42.2 3

31 57 44 43 53 40 53 38 25 57 39 44.9 3

32 45 32 56 68 54 68 24 10 45 16 41.8 3

33 50 55 68 49 41 49 37 29 50 23 45.1 4

34 29 57 77 8 34 8 44 70 29 63 41.9 3

35 55 47 35 32 13 32 65 46 55 73 45.3 4

36 28 30 25 50 47 50 31 28 28 62 37.9 3

37 18 37 46 43 43 43 35 35 18 25 34.3 2

38 43 63 49 27 51 27 27 51 43 15 39.6 3

39 31 22 26 37 9 37 69 41 31 51 35.4 2

40 36 43 23 3 52 3 26 75 36 37 33.4 2

41 3 4 3 66 65 66 13 12 3 32 26.7 1

42 2 1 2 77 27 77 51 1 2 43 28.3 1

43 65 60 51 34 31 34 47 44 65 40 47.1 4

44 60 39 29 42 56 42 22 36 60 74 46 4

45 71 50 37 59 49 59 29 19 71 21 46.5 4

46 13 11 19 76 75 76 3 2 13 34 32.2 2

47 70 61 38 56 50 56 28 22 70 20 47.1 4

48 27 38 39 20 20 20 58 58 27 27 33.4 2

49 7 18 15 63 38 63 40 15 7 8 27.4 2

50 30 17 10 40 71 40 7 38 30 13 29.6 2


ISSN 2277 - 5056 | © 2012 Bonfring

51 39 33 28 12 48 12 30 66 39 44 35.1 2

52 40 41 40 18 24 18 54 60 40 4 33.9 2

53 37 48 53 26 22 26 56 52 37 59 41.6 3

54 61 46 64 61 25 61 53 17 61 5 45.4 4

55 72 66 52 44 8 44 70 34 72 76 53.8 5

56 64 70 70 9 67 9 11 69 64 53 48.6 4

57 58 54 44 16 12 16 66 62 58 47 43.3 4

58 22 34 17 2 70 2 8 76 22 55 30.8 2

59 17 16 11 13 18 13 60 65 17 49 27.9 1

60 74 73 62 57 37 57 41 21 74 77 57.3 5

61 56 35 22 11 45 11 33 67 56 67 40.3 3

62 34 45 36 14 35 14 43 64 34 28 34.7 2

63 48 64 58 10 17 10 61 68 48 58 44.2 4

64 66 53 55 31 7 31 71 47 66 75 50.2 5

65 77 69 61 1 19 1 59 77 77 48 48.9 4

66 68 77 71 5 33 5 45 73 68 41 48.6 4

67 49 62 47 33 66 33 12 45 49 18 41.4 3

68 42 52 41 21 14 21 64 57 42 46 40 3

69 59 31 65 69 6 69 72 9 59 31 47 4

70 76 59 50 35 36 35 42 43 76 6 45.8 4

71 75 67 59 19 3 19 75 59 75 42 49.3 4

72 69 75 72 45 23 45 55 33 69 68 55.4 5

73 63 68 74 17 10 17 68 61 63 52 49.3 4

74 73 74 63 47 64 47 14 31 73 22 50.8 5

75 46 26 30 54 28 54 50 24 46 17 37.5 3

76 9 6 1 41 74 41 4 37 9 9 23.1 1

77 26 21 13 23 72 23 6 55 26 71 33.6 2


ISSN 2277 - 5056 | © 2012 Bonfring

MWS id PRIORITIZATION BASED ON Final Priority No

Dd Fu T Rf Rc Re Cc Bs Lo Rb Cp

1 5 3 5 74 29 74 49 4 5 24 27.2 1

2 6 5 9 73 30 73 48 5 6 54 30.9 2

3 11 12 16 72 44 72 34 6 11 70 34.8 2

4 1 2 20 75 4 75 74 3 1 10 26.5 1

5 4 9 7 62 77 62 1 16 4 57 29.9 1

6 8 10 34 52 1 52 77 26 8 69 33.7 2

7 10 13 8 25 32 25 46 53 10 11 23.3 1

8 52 58 76 36 42 36 36 42 52 29 45.9 4

9 41 23 12 4 53 4 25 74 41 2 27.9 1

10 33 25 54 71 60 71 18 7 33 65 43.7 4

11 67 72 60 60 59 60 19 18 67 19 50.1 5

12 25 27 32 51 15 51 63 27 25 61 37.7 3

13 14 19 18 70 73 70 5 8 14 7 29.8 1

14 21 28 48 29 57 29 21 49 21 35 33.8 2

15 12 7 4 55 76 55 2 23 12 33 27.9 1

16 44 56 45 46 46 46 32 32 44 38 42.9 3

17 15 24 42 15 21 15 57 63 15 1 26.8 1

18 20 14 6 24 39 24 39 54 20 45 28.5 1

19 23 15 27 67 5 67 73 11 23 26 33.7 2

20 16 8 14 64 11 64 67 14 16 12 28.6 1

21 54 36 24 48 61 48 17 30 54 66 43.8 4

22 35 49 57 6 26 6 52 72 35 36 37.4 3

23 38 29 31 28 63 28 15 50 38 14 33.4 2

24 19 20 21 30 16 30 62 48 19 50 31.5 2

25 47 51 69 58 2 58 76 20 47 72 50 4

26 62 76 66 38 62 38 16 40 62 30 49 4

27 24 42 67 39 58 39 20 39 24 3 35.5 3

28 51 65 75 22 68 22 10 56 51 56 47.6 4

29 53 71 73 7 69 7 9 71 53 60 47.3 4

30 32 40 33 65 55 65 23 13 32 64 42.2 3

31 57 44 43 53 40 53 38 25 57 39 44.9 3

32 45 32 56 68 54 68 24 10 45 16 41.8 3

33 50 55 68 49 41 49 37 29 50 23 45.1 4

34 29 57 77 8 34 8 44 70 29 63 41.9 3

35 55 47 35 32 13 32 65 46 55 73 45.3 4

36 28 30 25 50 47 50 31 28 28 62 37.9 3

37 18 37 46 43 43 43 35 35 18 25 34.3 2

38 43 63 49 27 51 27 27 51 43 15 39.6 3

39 31 22 26 37 9 37 69 41 31 51 35.4 2

40 36 43 23 3 52 3 26 75 36 37 33.4 2

41 3 4 3 66 65 66 13 12 3 32 26.7 1

42 2 1 2 77 27 77 51 1 2 43 28.3 1

43 65 60 51 34 31 34 47 44 65 40 47.1 4

44 60 39 29 42 56 42 22 36 60 74 46 4

45 71 50 37 59 49 59 29 19 71 21 46.5 4

46 13 11 19 76 75 76 3 2 13 34 32.2 2

47 70 61 38 56 50 56 28 22 70 20 47.1 4

48 27 38 39 20 20 20 58 58 27 27 33.4 2

49 7 18 15 63 38 63 40 15 7 8 27.4 2

50 30 17 10 40 71 40 7 38 30 13 29.6 2

51 39 33 28 12 48 12 30 66 39 44 35.1 2

52 40 41 40 18 24 18 54 60 40 4 33.9 2

53 37 48 53 26 22 26 56 52 37 59 41.6 3

54 61 46 64 61 25 61 53 17 61 5 45.4 4

55 72 66 52 44 8 44 70 34 72 76 53.8 5

56 64 70 70 9 67 9 11 69 64 53 48.6 4

57 58 54 44 16 12 16 66 62 58 47 43.3 4

58 22 34 17 2 70 2 8 76 22 55 30.8 2

59 17 16 11 13 18 13 60 65 17 49 27.9 1

60 74 73 62 57 37 57 41 21 74 77 57.3 5

61 56 35 22 11 45 11 33 67 56 67 40.3 3

62 34 45 36 14 35 14 43 64 34 28 34.7 2

63 48 64 58 10 17 10 61 68 48 58 44.2 4

64 66 53 55 31 7 31 71 47 66 75 50.2 5

65 77 69 61 1 19 1 59 77 77 48 48.9 4

66 68 77 71 5 33 5 45 73 68 41 48.6 4

67 49 62 47 33 66 33 12 45 49 18 41.4 3

68 42 52 41 21 14 21 64 57 42 46 40 3

69 59 31 65 69 6 69 72 9 59 31 47 4

70 76 59 50 35 36 35 42 43 76 6 45.8 4

71 75 67 59 19 3 19 75 59 75 42 49.3 4

72 69 75 72 45 23 45 55 33 69 68 55.4 5

73 63 68 74 17 10 17 68 61 63 52 49.3 4

74 73 74 63 47 64 47 14 31 73 22 50.8 5

75 46 26 30 54 28 54 50 24 46 17 37.5 3

76 9 6 1 41 74 41 4 37 9 9 23.1 1

77 26 21 13 23 72 23 6 55 26 71 33.6 2

Table 3: Prioritization Weightage of Micro-watersheds of Simlapal Block from Morphometric Parameters


ISSN 2277 - 5056 | © 2012 Bonfring

PRIORITY Fixation PRIORITY VALUES Micro-Watershed No

Very High (Cp<=30) 1 1,4,5,7,9,13,15,17,18,20,41,42,59,76

High (30<Cp<=37) 2 2,3,6,14,19,23,24,37,39,40,,46,48,49,50,51,52,58,62,77

Medium (37<Cp<=43) 3 12,16,22,27,30,31,32,34,36,38,53,61,67,68,75

Low (43<Cp<=50) 4 8,10,21,25,26,28,29,33,35,43,44,45,47,54,56,57,63,65,66,69,70,71,73

Very Low(Cp<50) 5 11,55,60,64,72,74

Table 4: Final Prioritization of Simlapal Block based on Morphometric Analysis

Figure 3: Stream ordering of Study Area Figure 3.1: Stream Ordering of Study Area

Figure 4: Land use/Land Cover of Study Area Figure 5: Micro-Watershed Priority with

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