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HEC-HMS
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12. Cowan W. L. 1956. Estimating hydraulic
roughness coefficients: Agricultural
Engineering. 37(7): p. 473-475.
13. James A. 1999. Time and the Persistenece of
Alluvim: River engineering, fluvial,
geomorphology, and mining sedmenti
California, Geomorphology. 31: 256-290.
14. Keble M. R. Yang Z. L. Hutchison K. and
Maidment D. R. 2005. Regional Scale Flood
Modeling using NEXRAD, Rainfall, GIS,
and HEC-HMS\RAS: A Case Study for the
San Antonio River Basin Summer 2002
Storm Event, Journal of Environmental
Management. 75: 325-336.
15. Koneti S. Sunkara S. E. and Roy P. S. 2018.
Hydrological Modeling with Respect to
Impact of Land-Use and Land-Cover
Change on the Runoff Dynamics in
Godavari River Basin Using the HEC-HMS
Model, International Journal of Geo-
Information. 7 1-17.
16. Mas J. F. Velazquez J. Gallegos D. Mayorga
Saucedo R. Alcantara C. Bocco G. Castro R.
Fernandez T. and Perez Vega A. 2004.
Assessing land use/cover changes: a
nationwide multi-date spatial database for
Mexico. International Journal of Applied
Earth Observation and Geo-Information. 32:
262-267.
17. Miller S. N. Kepner W. G. and Mehaffey M.
H. 2002. Integration Landscape Assessment
and Hydrologic Modeling for Land Cover
Change Analysis. Journal of 23- the
American Water Resources Association.
38(4): 919-929.
18. Pelletreau A. 2004. Pricing soil degradation
in uplands, the case of the Houay Pano
catchment, Lao PDR. Internship Report.
IRD-IWMI-NAFRI, Vientiane, Laos
appends. pp. 64.
19. Smith K. 1992. Environmental Hazards,
Assessing Risks and Reducing Disaster,
England: Routledge. pp. 254.
20. Suriya S. and Mudgal B. V. 2011. Impact of
urbanization on flooding: the Thirusoolam
sub watershed a case study. Journal of
Hydrology. 412: 210-219.
21. US Army Corps of Engineers. 2000.
Hydrologic modeling system HEC-HMS:
Technical Reference Manuals. Hydrologic
Engineering Center, USA.
22. Zope P. E. Eldho T. I. and Jothiprakash V.
2015. Impacts of urbanization on flooding of
a coastal urban catchment: a case study of
Mumbai City, India, Journal of Natural
Hazards. 75(1): 887-908.
Research paper
The evaluation of land use changes on hydrological characteristics of Basins
and river flood plains (Case study: Kashkan basin in Lorestan province)
F. Geravand1, Sh. Mohamadkhan
*2, S. M. Hosseini
3 and P. Pirani
4
Extended Abstract
Land use change is one of the most important factors affecting runoff from the basin, which
changes the factors affecting water infiltration. According to the statistics collected by the
Forests Organization, from the beginning of 2011 to the first six months of 2015, 552 floods
occurred in Iran. Land use change is one of the important factors in changing hydrological
flow, basin erosion and biodiversity destruction. Lack of attention to land use change and
exploitation of natural resources due to disturbing the biological balance has been one of the
effective factors in increasing flood zones. Therefore, it is possible to take a step towards
equilibrium by knowing the trend of land use changes in order to lead ecosystems and
simulate the hydrological reaction of the watershed with less error. Mathematical models have
a great ability to estimate runoff and its flood plain and provide users with effective
information by recognizing the factors and parameters affecting the flood. Such models
provide the relevant managers and experts with considerable ability to manage the basin
before floods, and even crisis management and rescue during floods.
In this study, in order to investigate the effect of land use changes on hydrological
characteristics, for an approximate distances of 40 km from the Kashkan River in Lorestan
Province, first land use maps for 1989 and 2014 were extracted using satellite images of 5 and
8 June of the years 1989 (TMC1) and 2014 (Landsat8) with a spatial resolution of 30 m. Then, the number of the basin curve and lag time were measured using the help maps in order
to calculate the runoff height in the hydrological model. On the other hand, the runoff
precipitation simulation was performed through considerin other required parameters. In order
to correspond to the land use extraction periods, two normal periods related to 1989 and 2014
were selected for simulation. To evaluate the efficiency of the model in simulating daily flood
values, the coefficient of determination error criteria (R2), dispersion index (SI), volume error
percentage (V%), peak error value ( %), and error peak time ( ) were considered. In the
next step, in order to locate and adapt different land uses to flood plains in different return
periods; the flood maps of these zones were extracted in different return periods and placed on
land use change maps. And the area of land uses in different return periods was calculated for
the studied periods. In order to achieve this goal, the first step involves preparing input
information for HEC-RAS software. To prepare the required geometric layers of RAS and
calculate the flood plains, the TIN of the area from a 1:150 digital map (mapped by Lorestan
Regional Water Organization) was prepared and in order to achieve the peak discharge with
different return periods, two 18-year statistical periods (from 1972 to 1990 and from 1999 to
2017), and maximum instantaneous discharge of Doab Veysian hydrometric station were
used. The Manning coefficient was determined by using Cowan's (1956) method and
1- Ph.D. Student of Geomorphology, Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran.
2- Associate Professor, Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran.
3- Associate Professor, Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran.4- Associate Professor, Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran.
* Corresponding Author: [email protected]
Received: 2009/08/08 Accepted: 2010/11/11
geometric data. This data includes obstacles and structures in flow path that obtains and
simulated in software. To analyze the flow in a steady way, the HEC-RAS software and HEC-
geo-RAS extension in Arc-GIS environment have been used. The EasyFit software has been
used to prepare peak discharges for different return periods.
The results of land use changes during the period of 1989-2014 have shown that the area of
land uses such as rangelands and forests has decreased and the area of land uses such as
wastelands and human structures has increased. As a result, the value of the calculated curve
number has increased from 45 to 68.4, and the lag time has increased from 41 to 24.3 mm,
which indicates the flooding of the basin. The area of different uses on the flood maps in the
period of different returns showed the residential areas in the new period compared to the old
period, which were flooded in the 50-year return period. They are now flooded due to increase
in the flood discharge and the development of rural areas along the river during a short 25-
year return period; Even the new farms in the river side is danger of flood in shorter period
such as 10-year.
Keywords: Hydrological components, HEC-HMS Model, HEC-geo-RAS Model, Kashkan
Basin, Land use, Runoff.
Citation: Geravand F. Mohamadkhan Sh. Hosseini S. M. and Pirani P. 2021. The evaluation of land use changes
on hydrological characteristics of Basins and river flood plains (Case study: Kashkan basin in Lorestan
province). Iranian Water Research Journal. 40: ??-??.