ORIGINAL ARTICLE
Drainage morphometry and its influence on hydrologyin an semi arid region: using SRTM data and GIS
P. D. Sreedevi • P. D. Sreekanth • H. H. Khan •
S. Ahmed
Received: 31 August 2010 / Accepted: 29 November 2012 / Published online: 19 December 2012
� Springer-Verlag Berlin Heidelberg 2012
Abstract An attempt has been made to study drainage
morphometry and its influence on hydrology of Peddavanka
watershed, South India. Drainage networks for the sub-
basins were derived from topographical map (1:50,000) and
Shuttle Radar Topographic Mission (SRTM) Digital Ele-
vation Model (DEM) data used for preparing elevation,
slope and aspects maps. Geographical information system
(GIS) was used in evaluation of linear, areal and relief
aspects of morphometric parameters. The study reveals that
SRTM DEM and GIS-based approach in evaluation of
drainage morphometric parameters and their influence on
hydrological characteristics at watershed level is more
appropriate than the conventional methods. The mean
Bifurcation ratio (Rb) of the entire basin is 3.88 which
indicate that the drainage pattern is not much influenced by
geological structures. VIII sub-basin have high elongation
ratio (Re), basin relief (Bh), Ruggedness number (Rn) and
time of concentration (Tc). It indicates that the erosion and
peak discharges are high in these basins. Therefore, the
construction of the check dams and earth dams will help in
reducing peak discharge on the main channel. These studies
are very useful for implementing rainwater harvesting and
watershed management.
Keywords Drainage morphometry � Geographical
information system � Shuttle Radar topographic mission �Hydrology � Watershed
Introduction
Watershed management studies are important in semi-arid
and arid regions for protecting the limited water resources,
because at most of the places, surface water resources are
scarce and at some places it is totally absent. In these areas,
groundwater recharge depends only on rainfall. For
understanding rainfall recharge mechanism and ground-
water budget estimation in the watersheds level, first we
have to understand the morphometric parameters at the
basin level.
Watershed management requires physiographic infor-
mation such as watershed slope, configuration of channel
network, location of drainage divide, channel length and
geomorphologic parameters viz. relative relief, shape fac-
tor, circulatory ratio, bifurcation ratio and drainage density
for watershed prioritization and implementation of soil and
water conservation measures. Traditionally, these parame-
ters are obtained from topographic maps or field surveys.
Over the past two decades, this information has been
increasingly derived from digital representation of topo-
graphy, generally called the digital elevation models
(DEM) (Moore et al. 1991; Martz and Garbrechet 1992).
The automated derivation of topographic watershed data
from DEM is faster, less subjective and provides more
reproducible measurements than traditional manual tech-
niques applied to topographic maps (Tribe 1992).
The use of DEM through geographical information
system (GIS) is a powerful approach in this matter, since
automatic methods to analyse topographic features are
allowed with both operational and quality advantages,
while using SRTM data with GIS techniques is a speed,
precision, fast and inexpensive way for calculating
morphometric analysis (Sarangi et al. 2003; Obi Reddy
et al. 2004; Sreedevi et al. 2005, 2009; Valeriano et al.
P. D. Sreedevi (&) � H. H. Khan � S. Ahmed
National Geophysical Research Institute (CSIR), Uppal Road,
Hyderabad 500606, A.P., India
e-mail: [email protected]
P. D. Sreekanth
National Academy of Agricultural Research Management
(ICAR), Rajendhra Nagar, Hyderabad 500407, A.P., India
123
Environ Earth Sci (2013) 70:839–848
DOI 10.1007/s12665-012-2172-3
2006; Grohmann et al. 2007; Ozdemir and Bird 2009).
Here, the authors made an attempt to study drainage
morphometry and their influence on hydrological charac-
teristics (runoff, infiltration, etc.) in the study area.
Study area
Peddavanka watershed situated in the drought prone areas
of Rayalaseema Districts of Andhra Pradesh, South India.
The Peddavanka originates in the southern part of Kurnool
District and drains through northeastern part of Anantapur
district and joins the Pennar River near Chitturu, Anantapur
District. The study area falls in the Survey of India To-
posheet no. 57 E/11, 12, 16 and 57 F/9 between latitude
15�310 to 14�930N and longitude 77�570 to 77�760E(Fig. 1). The total area of the basin is 378.25 km2 and
average annual rainfall is 560 mm.
Geology and structures
The terrain is undulating with several denudational ridges
and hills. The area exposes mainly rock types belonging to
the Peninsular Gneissic Complex (PGC) of Achaean age,
granites and other basic and acidic intrusions (Fig. 2).
The PGC is the wider spread and mainly represented by
banded and streaky gneisses and granitoids. The gneisses
comprise Hornblende–Biotite gneisses, Hornblende gneis-
ses, Biotite gneisses. The granitiods in the form of plutons
or dome shaped bodies of varied dimensions are seen
amidst the gneisses. These granitoids which are massive
and foliated comprise granite and granodiorite (GSI 1995,
2004).
The PGC is intruded by K-rich granites of lower Pro-
terozoic age. These granite bodies which are of varied
dimensions are both grey and pink, the latter being
younger.
Fig. 1 Location map of the study area
840 Environ Earth Sci (2013) 70:839–848
123
Quartz veins and Dolerite/gabbro dykes are mark the
last phase of igneous activity and cut across all the above-
mentioned litho units and show various trends. The general
trend of foliation in rocks of PGC and metamorphic is
NNW–SSE with steep to sub-vertical dips. Joints are seen
along NNW–SSE, S–E and N–S trends. The thickness of
the regolith is varying 2–3 m across the watershed.
Methodology
The Peddavanka watershed has been delineated based on
the water divide line concept. The drainage morphometric
analysis of the Peddavanka watershed was prepared based
on the published topographic maps on a 1:50,000 scale and
also on SRTM data. The drainage network of the basin was
scanned and digitized as available on toposheets (1:50,000).
The basin was divided into 10 sub-basins and morphometric
analysis was carried out at sub-basin level in SAGA GIS
(Olaya 2004). Based on the drainage order, the drainage
channels were classified into different orders (Strahler
1964). Basin parameters viz., area, perimeter, cumulative
length of streams and basin length were measured in GIS.
Parameters, such as Ruggedness number (Rn), drainage
density (Dd), bifurcation ratio (Rb), circulatory ratio (Rc),
elongation ratio (Re), constant of channel maintenance
(C) and time of concentrations (Tc) were evaluated with
established mathematical equations (Table 1).
The SRTM DEM was used for delineating slope, relief
and aspects maps in the watershed. Using SRTM is a
fast and inexpensive way for regional geomorphological
analysis. The data were taken from the http://www.srtm.usgs.
gov/data/obtaining.html and then imported to the SAGA
GIS. The evaluated morphometric parameters were
grouped as linear, relief and areal parameters.
Results and discussion
The total drainage area of Peddavanka watershed is
378.25 km2 and it is divided into 10 sub-basins for the
analysis (Fig. 3). The development of drainage networks
depends on geology, precipitation apart from exogenic and
endogenic forces of the area. The drainage pattern of the
basin ranges from dentritic to sub-dentritic at higher ele-
vations and parallel to sub-parallel in the lower elevations.
Based on the drainage orders, the Peddavanka watershed
has been classified as sixth order basin to analyse linear,
areal and relief morphometric parameters.
Linear parameters
Computation of the linear parameters, such as stream order,
stream number for various orders, bifurcation ratio, stream
length for various stream orders and length ratio are
described below.
Stream number (Nu)
It is obvious that the number of streams gradually
decreases as the stream order increases. With the applica-
tion of GIS, the number of streams of each order and the
total number of streams were computed (Fig. 4). Total
number of streams in the watershed is 923, in that 706
streams are 1st order, 167, 39, 8, 2 and 1 are 2nd, 3rd, 4th,
5th and 6th order streams, respectively (Table 2).
Stream order (U)
The designation of stream order is the first step in the
drainage basin analysis. The streams of the Peddavanka
watershed have been ranked according to the Strahler’s
(1964) stream ordering system and the number of stream
of each segment (Nu) of the order (U) is presented in
Table 2. The details of stream characteristics confirm to
Horton’s (1932) ‘‘law of stream numbers’’ which state that
the number of streams of different orders in a given
drainage basin tends closely to approximate an inverse
geometric ratio. It also confirms to Horton’s (1932) the
‘‘laws of stream length’’ which states that the average
length of streams of each of the different orders in a
drainage basin tends closely to approximate a direct
Fig. 2 Geology map
Environ Earth Sci (2013) 70:839–848 841
123
geometric ratio. The variation in order and size of the
tributary basins are largely due to physiographic and
structural conditions of the region. Application of this
ordering procedure through GIS shows that the drainage
network of the study area is of a sixth order basin. Three
sub-basins (II, V and VI) were identified under third order,
three sub-basins (I, III and IV) under fourth order and one
(VIII) sub-basin under fifth order and X sub-basin is under
sixth order (Table 2).
Stream length (Lu)
Stream length is one of the most significant hydrological
features of the basin as it reveals surface runoff
characteristics streams of relatively smaller lengths are
characteristics of areas with larger slopes and finer textures.
Longer lengths of streams are generally indicative of flatter
gradients. Generally, the total length of stream segments is
high in first order streams and decreases as the stream order
increases. The number of streams of various orders in the
basin is counted and their lengths from mouth to drainage
divide are measured with the help of SAGA GIS (Table 2).
Bifurcation ratios (Rb)
The term ‘bifurcation ratio’ (Rb) was introduced by Horton
(1932) to express the ratio of the number of streams of any
given order to the number in the next lower order.
According to Strahler (1964), the ratio of number of
Table 1 Linear, areal and relief morphometric parameters with description
S.
no.
Parameters Formulae Description References
Linear parameters
1 Stream order (U) Hierarchical rank The smallest permanent streams are called ‘‘first order’’. Two first order
streams join to form a larger, second order stream; two second order
streams join to form a third order, and so on. Smaller streams entering a
higher ordered stream do not change its order number
Strahler (1964)
2 Stream length (Lu) Length of the
stream
The average length of streams of each of the different orders in a drainage
basin tends closely to approximate a direct geometric ratio
Horton (1945)
3 Bifurcation ratio
(Rb)Rb ¼ Nu
Nuþ1The ratio of number of streams of a given order (Nu) to the number of
segments of the higher order (Nu ? 1) is termed as the Rb
Strahler (1964)
Areal parameters
4 Drainage density
(Dd)Dd ¼ Lu
AThe length of stream channel per unit area of drainage basin Horton (1945)
5 Drainage texture
(T)
T = Dd 9 Fs The product of Dd and Fs Smith (1950)
6 Stream frequency
(Fs)Fs ¼
PNu
A
The ratio between total number of streams and area of the basin Horton (1945)
7 Elongation ratio
(Re)Re ¼ D
L¼ 1:128
ffiffiffiAp
LThe ratio between the diameter of a circle with the same area as that of the
basin (A) and the maximum length (L) of the basin
Schumn
(1956)
8 Circularity ratio
(Rc)Rc ¼ 4pA
�P2 The ratio of basin area (Au) to the area of a Circle (Ac) having the same
perimeter as the basin
Strahler (1964)
9 Form factor (Ff) Ff ¼ A�L2 The ratio of the basin area to the square of the basin length Horton (1945)
10 Constant of channel
maintenance (C)
C = km2/km The inverse of drainage density Schumn
(1956)
11 Texture ratio (Rt) T = N1(1/P) The ratio between the first order streams and perimeter of the basin Ozdemir and
Bird (2009)
Relief parameters
12 Relief R = H-h The maximum vertical distance between the lowest and the highest points of
a basin
Hadley and
Schumm
(1961)
13 Basin relief (Bh) Bh = hmax - hmin The maximum vertical distance between the lowest and the highest points of
a sub-basin
Ozdemir and
Bird (2009)
14 Ruggedness
number (Rn)
Bh 9 Dd The product of the basin relief and its drainage density Ozdemir and
Bird (2009)
15 Time of
concentrations
(Tc)
Tc = 0.0078
L0.77(L/H)0.385The ratio between length of main stream and basin relief Kirpich (1940)
842 Environ Earth Sci (2013) 70:839–848
123
streams of a given order (Nu) to the number of segments of
the higher order (Nu ? 1) is termed as the Rb.
In the study area mean Rb varies from 2.93 to7.50; the
mean Rb of the entire watershed is 3.88 (Table 2). Usually
these values are common in the areas where geologic
structure does not exercise a dominant influence on the
drainage pattern (Strahler 1964; Chow 1964). Strahler
(1957) demonstrated that bifurcation ratio shows a small
range of variation for different regions or for different
environment dominates. The Rb between first and second
order streams may be considerably higher than the Rb of
higher order streams in areas of active gullies and ravines
(Verstappen 1983). Sub-basins Rb values range from 1 to
10. The higher Rb for few sub-basins is the result of large
variation in frequencies between successive orders and also
indicates the mature topography.
Areal parameters
Area of a basin (A) and perimeter (P) are the important
parameters in quantitative morphology. The area of the
basin was computed by converting the map of the basin
into polygon form. The total area of the basin is found to be
378.25 km2 (Table 3). Perimeter is the length of the
boundary of the basin which can be drawn from topo-
graphical maps. Basin area is hydrologically important
because it directly affects the size of the storm hydrograph
and the magnitudes of peak and mean runoff. It is inter-
esting that the maximum flood discharge per unit area is
inversely related to size (Chorley et al. 1957). The aerial
aspects of the drainage basin such as drainage density (D),
drainage texture (T), stream frequency (Fs), elongation
ratio (Re), circularity ratio (Rc), form factor (Ff), constant
of channel maintenance (C) and texture ratio (Rt) where
calculated and results are given in Table 3.
Drainage density (Dd)
The Dd is the ratio of total channel segment lengths
cumulated for all orders within a basin to the basin area,
which is expressed in terms km/km2. Dd is generally
inversely related to hydraulic conductivity of the underly-
ing soil. For steep slopes, an inverse correlation has been
modeled by Montgomery and Dietrich (1992). Generally,
Dd increases with decreasing infiltration capacity of the
underlying rocks and/or decreasing transmissivity of the
soil.
The Dd for the whole basin is 2.03 km/km2, while those
of the X sub-basins are shown in Table 3. Dd gives an idea
about the physical properties of the underlying rocks in the
study area. Low Dd occurs in the regions of highly resistant
and permeable sub-soil materials with dense vegetated
cover and low relief; whereas high Dd is prevalent in the
region of weak impermeable sub-surface materials which
Fig. 3 Drainage with sub-basins
Fig. 4 Drainage with different stream orders
Environ Earth Sci (2013) 70:839–848 843
123
are sparsely vegetated and show high relief in the study
area.
Drainage texture (T)
The drainage texture (T) depends on a number of natural
factors, such as climate, rainfall, vegetation, rock and soil
type, infiltration capacity, relief and stage of development
(Smith 1950). The soft or weak rocks unprotected by
vegetation produce a fine texture, whereas massive and
resistant rocks cause coarse texture. Sparse vegetation of
arid climate causes finer textures than those developed on
similar rocks in a humid climate. The texture of a rock is
commonly dependent upon vegetation type and climate
(Dornkamp and King 1971). In simple terms T is the
product of Dd and Fs.
The T of the whole basin is 4.96, while those of the X
sub-basins are shown in Table 3. According to Smith
classification, T of the whole basin comes under coarse
texture, as the values are \4.0.
Stream frequency (Fs)
The Fs of a basin may be defined as the number of streams
per unit area (Horton 1945).
The Fs of the whole basin is 2.44 km/km2, while the Fs
for X sub-basins are shown in Table 3. Generally, high
stream frequency is related to impermeable sub-surface
Table 2 Linear parameters of Peddavanka watershed
Sub-basins Basin
length
(L)
Stream orders (U) Total
stream
no.
Stream length (Lu) Total
stream
length
Bifurcation ratio (Rb) Mean
Rb
1 2 3 4 5 6 1 2 3 4 5 6 Rb1 Rb2 Rb3 Rb4 Rb5
I 9.91 32 9 2 1 44 19.45 6.87 8.85 3.81 38.97 3.56 4.50 2.00 3.35
II 8.60 50 10 1 61 20.26 16.22 8.72 45.20 5.00 10.00 7.50
III 7.45 58 17 6 1 82 33.16 11.94 10.27 5.25 60.61 3.41 2.83 6.00 4.08
IV 5.60 23 7 2 1 33 11.80 7.75 4.10 2.47 26.12 3.29 3.50 2.00 2.93
V 7.50 32 6 1 39 14.83 5.63 6.55 27.01 5.33 6.00 5.67
VI 8.42 36 9 1 46 17.63 4.49 7.97 30.09 4.00 9.00 6.50
VII 15.90 134 32 6 1 173 70.35 30.64 12.91 11.21 125.12 4.19 5.33 6.00 5.17
VIII 11.21 96 16 7 1 1 121 57.44 25.23 9.53 13.69 1.05 106.93 6.00 2.29 7.00 1.00 4.07
IX 6.90 39 11 3 1 54 17.12 5.88 3.54 5.55 32.09 3.55 3.67 3.00 3.40
X 41.70 206 50 10 2 1 1 270 140.53 59.78 19.88 10.77 28.62 16.73 276.31 4.12 5.00 5.00 2.00 1.00 3.42
Peddavanka 41.70 706 167 39 8 2 1 923 402.56 174.43 92.30 52.76 29.67 16.73 768.46 4.23 4.28 4.88 4.00 2.00 3.88
Table 3 Areal parameters of Peddavanka watershed
Sub-basin Area
(A)
Perimeter
(P)
Drainage
density (Dd)
km/km2
Drainage
texture
(T)
Stream
frequency
(Fs)
Elongation
ratio (Re)
Circularity
ratio (Rc)
Form
factor
(Ff)
Constant of
channel
maintenance (C)
Texture
ratio
(Rt)
I 119.37 23.33 2.01 4.57 2.27 0.50 0.45 0.20 0.50 1.37
II 22.09 21.55 2.05 5.65 2.76 0.62 0.60 0.30 0.49 2.32
III 28.02 22.22 2.16 6.33 2.93 0.80 0.71 0.50 0.46 2.61
IV 16.80 17.32 1.55 3.05 1.96 0.83 0.70 0.54 0.64 1.33
V 10.40 18.72 2.60 9.74 3.75 0.49 0.37 0.18 0.39 1.71
VI 12.30 20.28 2.45 9.15 3.74 0.47 0.38 0.17 0.41 1.78
VII 54.51 40.80 2.30 7.28 3.17 0.52 0.41 0.22 0.44 3.28
VIII 46.65 37.48 2.29 5.95 2.59 0.69 0.42 0.37 0.44 2.56
IX 10.70 17.91 3.00 15.14 5.05 0.53 0.42 0.22 0.33 2.18
X 157.41 133.91 1.76 3.01 1.72 0.34 0.11 0.09 0.57 1.54
Peddavanka 378.25 119.04 2.03 4.96 2.44 0.53 0.34 0.22 0.49 5.93
844 Environ Earth Sci (2013) 70:839–848
123
material, sparse vegetation, high relief conditions and low
infiltration capacity. It mainly depends on the lithology of
the basin and reflects the texture of the drainage network.
Elongation ratio (Re)
The Re is defined as the ratio between the diameter of a
circle with the same area as that of the basin (A) and
maximum length (L) of the basin Schumn (1956). It is a
very significant index in the analysis of basin shape which
helps to give an idea about the hydrological character of a
drainage basin.
Elongation ratio for the basin is estimated as 0.53, and
the ten sub-basins are shown in Table 3. The variation of
the elongated shapes of the basins is due to the guiding
effect of thrusting and faulting in the basin. High Re values
indicate that the areas are having high infiltration capacity
and low runoff. The sub-basins II, III, IV and VIII are
characterized by high Re, and sub-basins V, VI and X have
low Re, respectively. The sub-basins having low Re values
are susceptible to high erosion and sedimentation load.
Circularity ratio (Rc)
The Rc has been used as an areal aspect ans is expressed as
the ratio of basin area (Au) to the area of a circle (Ac)
having the same perimeter as the basin (Strahler 1964). It is
affected by the lithological character of the basin.
Circularity ratio values approaching 1 indicates that the
basin shapes are like circular and as a result, it gets scope
for uniform infiltration and takes long time to reach excess
water at basin outlet, which further depends on the pre-
valent geology, slope and land cover. The ratio is more
influenced by length, frequency (Fs) and gradient of vari-
ous orders rather than slope conditions and drainage pattern
of the basin. The Rc of the whole basin is 0.34, while those
of the ten sub-basins are shown in Table 3.
Form factor (Ff)
Form factor is defined as the ratio of the basin area to the
square of the basin length. Horton (1945) proposed this
parameter to predict the intensity of a basin of a defined
area. The Ff of the whole basin is 0.22, while the Ff of ten
sub-basins is shown in Table 3.
Form factor reveals that sub-basins having low Ff have
less side flow for shorter duration and high main flow for
longer duration and vice versa. This condition prevails in
sub-basins I, V, VI and X. High Ff exists in sub-basins III
and IV with high side flow for longer duration and low
main flow for shorter duration causing high peak flows in a
shorter duration.
Constant of channel maintenance (C)
Schumn (1956) used the inverse of drainage density as a
property termed as ‘‘Constant of channel maintenance
(C)’’. It depends on the rock type, permeability, climatic
regime, vegetation cover and relief as well as duration of
erosion. It decreases with increasing erodibility (Schumn
1956). Higher values suggest more area is required to
produce surface flow, which implies that part of water may
get lost by evaporation, percolation, etc. lower value
indicates less chances of percolation/infiltration and hence
more surface runoff (Bhagwat et al. 2011). The sub-basins
V and IX have low C values of 0.39 and 0.33, respectively.
It indicates that these sub-basins are under the influence of
high structural disturbance, low permeability; steep to very
Fig. 5 Elevation map
Environ Earth Sci (2013) 70:839–848 845
123
steep slopes and high surface runoff. The sub-basins of IV
and X have highest C values of 0.64 and 0.57, respectively
and are under very less structural disturbances and less
runoff conditions (Table 3).
Texture ratio (Rt)
Texture ratio is defined as the ratio between the first order
streams and perimeter of the basin. Rt is an important factor
in the drainage morphometric analysis which depends on
the underlying geology, infiltration capacity of bedrock and
relief aspects of the sub-basins. VII sub-basin contains
highest Rt value in the watershed (Table 3).
Relief parameters
Elevation
Elevation is defined as the maximum vertical distance
between the lowest and the highest points of a basin. It is
an important factor in understanding the denudational
characteristics of the basin. The DEM map of the study
area reveals that the maximum height of the whole
watershed is 616.36 m above mean sea level (amsl). The
study area is associated with dissected hills in the north-
eastern part of the watershed and lowest minimum
283.57 m amsl near the confluence of the river (Fig. 5).
Basin relief (Bh)
Basin relief is defined as the maximum vertical distance
between the lowest and the highest points of a sub-basin.
Bh aspects of the sub-basins play an important role
in drainage development, surface and sub-surface water
flow, permeability, landforms development and erosion
properties of the terrain. The analysis reveals that the sub-
basins VII, VIII, IX and X have relief more than 150 m
(Table 4). The high Bh values indicates the gravity of water
flow, low infiltration and high runoff conditions.
Ruggedness number (Rn)
Ruggedness number is defined as the product of the basin
relief and its drainage density. Rn indicates the structural
complexity of the terrain. An increased peak discharge is
the result of the network’s improved efficiency due to an
increase in relief and drainage density (Ozdemir and Bird
Table 4 Relief parameters of Peddavanka watershed
Sub-basins Relief Basinrelief(Bh)
Ruggednessnumber (Rn)
Time ofconcentrations(Tc)
Max Min
I 424.56 355.61 68.95 0.10 1.50
II 426.18 367.93 58.25 0.11 1.90
III 532.16 389.43 142.73 0.24 1.89
IV 553.55 439.66 113.89 0.14 0.78
V 539.03 420.99 118.04 0.30 0.80
VI 569.21 413.05 156.16 0.30 0.81
VII 616.36 366.79 249.57 0.45 3.52
VIII 513.15 323.17 189.98 0.36 3.26
IX 543.12 324.36 218.76 0.59 0.77
X 592.88 283.57 309.31 0.49 8.09
Peddavanka 616.36 283.57 332.79 0.68 25.64
Fig. 6 Aspect map
846 Environ Earth Sci (2013) 70:839–848
123
2009). The analysis shows that the Rn value varies between
0.1 and 0.59. Rn value more than 0.5 for IX sub-basin
(Table 4). The basins having high Rn values are highly
susceptible to erosion and therefore susceptible to an
increase peak discharge.
Time of concentration (Tc)
The time of concentration is defined as the ratio between
length of main stream and basin relief. Tc is the time
required for a particle of water to travel from the most
hydrologically remote point (source) in the watershed to
the point of collection (outlet). Tc values varies from 0.77
to 8.09. For whole basin Tc is 25.64 (Table 4). The highest
Tc value represents the greatest length in time for water to
travel from the most distant point of the sub-basin to its
outlet.
Slope
Slope analysis is an important parameter in geomorphic
studies. The slope elements, in turn are controlled by the
climatomorphogenic processes in the area having the rock
of varying resistance. An understanding of slope distribu-
tion is essential as a slope map provides data for planning,
settlement, mechanization of agriculture, deforestation,
planning of engineering structures, morphoconservation
practices, etc. (Sreedevi et al. 2005, 2009). In the study
area, slope map was prepared based on the SRTM data
were converted into slope and aspect grids using SAGA
GIS (Conrad 2006). Aspect grid is identified as ‘‘the down-
slope direction of the maximum rate of change in value
from each to its neighbors’’ (Gorokhovich and Vous-
tianiouk 2006) (Fig. 6). Slope grid is identified as ‘‘the
maximum rate of change in value from each cell to its
neighbors’’, using methodology described in Burrough
(1986). The slope of Peddavanka watershed area varies
from 0.8� to 6.4� with a mean slope of 1.83� and slope
standard deviation 2.53�. A high degree of slope is noticed
in the northern and northeastern parts of the basin (Fig. 7).
Conclusion
The study reveals that SRTM DEM and GIS-based
approach in evaluation of drainage morphometric para-
meters and their influence on hydrological characteristics
at watershed level is more appropriate than the conven-
tional methods. GIS-based approach facilitates to analyze
different morphometric parameters and to explore the
relationship between the drainage morphometry and
hydrological characteristics.
• The variation of the elongated shapes of the basins is
due to the guiding effect of thrusting and faulting in the
basin.
• The Rc of the basins is less than 1. It indicates that the
infiltration rate is varying throughout the basin.
• Sub-basins I, V, VI and X are having low Ff, it
indicates that less side flow for shorter duration and
high main flow for longer duration.
• High Ff in sub-basins II and IV with high side flow for
longer duration and low main flow for shorter duration
causing high peak flows in a shorter duration.
• Sub-basin IV having highest C values; it represents
that very less structural disturbances and less runoff
condition.
Fig. 7 Slope map
Environ Earth Sci (2013) 70:839–848 847
123
• Sub-basins I, V, VI and X are having high Bh values,
which indicates that the gravity of water flow, low
infiltration and high runoff conditions are prevailing in
that basins.
• IX sub-basin having high Rn value indicates that it is
highly susceptible to erosion and therefore susceptible
to an increase peak discharge.
• Sub-basins III and IV have high Re and Ff. VIII sub-
basin having high Bh, Rn and Tc. It indicates that the
erosion and peak discharges are high in these basins.
Therefore, the construction of the check dams and earth
dams will help reduce peak discharge on the main
channel.
This study indicates that systematic analysis of mor-
phometric parameters using GIS can provide significant
value in understanding sub-basins hydrological character-
istics for watershed management planning.
Acknowledgments The authors wish to thank the Director NGRI
for permission to publish this paper. The first author gratefully
acknowledges the Department of Science and Technology (DST),
New Delhi, for financial assistance in the form of Fast Track Young
Scientist Project (No.SR/FTP/ES-49/2009).
References
Bhagwat TN, Shetty A, Hegde VS (2011) Spatial variation in
drainage characteristics and geomorphic instantaneous unit
hydrograph (GIUH); implications for watershed management—
a case study of the Varada River basin, Northern Karnataka.
Catena 87:52–59
Burrough PA (1986) Principles of geographical information systems
for land resources assessment. Oxford University Press, New
York, p 50
Chorley RJ, Donald EG, Malm, Pogorzelski HA (1957) A new
standard for estimating drainage basin shape. Am J Sci 255:
138–141
Chow VT (ed) (1964) Handbook of applied hydrology. McGraw Hill
Inc, New York
Conrad O (2006) SAGA—Program Structure and Current State of
Implementation. In: Bohner J, McCloy KR, Strobl J (eds)
SAGA—analysis and modelling applications. Verlag Erich
Goltze GmbH, 115: 39–52
Dornkamp JC, King CAM (1971) Numerical analyses in geomor-
phology, an introduction. St. Martins press, New York, p 372
Gorokhovich Y, Voustianiouk A (2006) Accuracy assessment of the
processed SRTM-based elevation data by CGIAR using field
data from USA and Thailand and its relation to the terrain
characteristics. Remote Sens Environ 104:409–415
Grohmann CH, Riccomini C, Alves FM (2007) SRTM-based
morphotectonic analysis of the Pocos de Caldas alkaline Massif,
southeastern Brazil. Comput Geosci 33:10–19
GSI (1995) Geological Quadrangle map 57 F. Printed at Info maps,
Madras
GSI (2004) Geological Quadrangle map 57 E. Printed the map
printing division, Hyderabad
Hadley RF, Schumm SA (1961) Sediment sources and drainage basin
characteristics in upper Cheyenne river basin. US Geol Surv
water-supply pap 1531-B:137–196
Horton RE (1932) Drainage basin characteristics. Trans Am Geophys
Union 13:350–361
Horton RE (1945) Erosional development of streams and their
drainage basins: hydrophysical approach to quantitative mor-
phology. Bull Geol Soc Amer 5:275–370
Kirpich ZP (1940) Time of concentration of small agricultural
watersheds. Civ Eng 10(6):362
Martz LW, Garbrechet J (1992) Numerical definition of drainage
network and sub catchment areas from digital elevation models.
Comput Geosci 18(6):747–761
Montgomery DR, Dietrich WE (1992) Channel initiation and the
problem of landscape scale. Science 255:826–830
Moore ID, Grayson RB, Ladson AR (1991) Digital terrain modelling:
a review of hydrological, geomorphological and biological
applications. Hydrol Process 5(1):3–30
Obi Reddy GP, Maji AK, Gajbhiye KS (2004) Drainage morphometry
and its influence on landform characteristics in a basaltic terrain,
Central India—a remote sensing and GIS approach. Int J Appl
Earth Obs Geoinfo 6:1–16
Olaya VF (2004) A gentle introduction to SAGA GIS. The SAGA
User Group e.v, Gottingen, p 208
Ozdemir H, Bird D (2009) Evaluation of morphometric parameters of
drainage networks derived from topographic maps and DEM in
point of floods. Environ Geol 56:1405–1415
Sarangi A, Madramootoo CA, Enright P (2003) Development of user
Interface in ArcGIS for estimation of watershed geomorphology.
CSAE/SCGR 2003 meeting, paper no. 03-120
Schumn SA (1956) Evaluation of drainage systems and slopes in
badlands at Perth Amboy, New Jersey. Bull Geol Soc Amer
67:597–646
Smith KG (1950) Standards for grading texture of erosional
topography. Am J Sci 248:655–668
Sreedevi PD, Subrahmanyam K, Shakeel A (2005) The significance
of morphometric analysis for obtaining groundwater potential
zones in a structurally controlled terrain. Environ Geol 47(3):
412–420
Sreedevi PD, Owais S, Khan HH, Ahmed S (2009) Morphometric
analysis of a watershed of south India using SRTM data and GIS.
J Geol Soc India 73:543–552
Strahler AN (1957) Quantitative analysis of watershed geomorphol-
ogy. Trans Am Geophys Union 38:913920
Strahler AN (1964) Quantitative geomorphology of drainage basins
and channel networks. In: Chow VT (ed) Handbook of applied
hydrology. McGraw-Hill, New York, pp 4.39–4.76
Tribe A (1992) Automated recognition of valley heads from digital
elevation models. Earth Surf Process Landf 16(1):33–49
Valeriano MM, Kuplich TM, Storino M, Amaral BD, Mendes JN Jr,
Lima DJ (2006) Modeling small watershed in Brazilian Amazi-
nia with shuttle radar topographic mission-90 m data. Comput
Geosci 32:1169–1181
Verstappen HTh (1983) Applied geomorphology for Environmental
Management. Elsevier, Amsterdam, p 437
848 Environ Earth Sci (2013) 70:839–848
123