Swat Research Papers

Swat Research Papers-18
The use of a watershed model to simulate these processes plays a 1110-0168 © 2015 Faculty of Engineering, Alexandria University. fundamental role in addressing a range of water resources and environmental and social problems. The development of remote sensing (RS) techniques and Geographic Information System (GIS) capabilities has encouraged and improved the expanded use of watershed models worldwide.

The use of a watershed model to simulate these processes plays a 1110-0168 © 2015 Faculty of Engineering, Alexandria University. fundamental role in addressing a range of water resources and environmental and social problems. The development of remote sensing (RS) techniques and Geographic Information System (GIS) capabilities has encouraged and improved the expanded use of watershed models worldwide.

GIS is a suitable tool for the efficient management of large and complex database and to provide a digital representation of watershed characteristics used in hydrologic modeling.

It has added confidence in the accuracy of modeling by providing more practical approach toward the watershed conditions, defining watershed characteristics, improving the efficiency of the modeling process and ultimately increasing the estimation capabilities of hydrological modeling, Bhuyan et al. Pakistan is one of the world's most arid countries, with an average rainfall of under 240 mm a year. Arnold, Advances in the application of the SWAT model for water resources management, Hydrol.

The objective of modeling Simly Dam watershed in Soan River basin, is to set up and calibrate the adapted model in order to simulate the functioning of the entire area and therefore predict its response to phenomena and risks it confronts such as erosion, inundations, drought, and pollution. The methodologies used for this study include a description of the study area, hydrological model and the special dataset which used in the simulation are given in the following sections with details. Description of the study area The Soan River is an important stream of the Pothohar region of Pakistan. 41 (2) (2004) 343-360, j.1752-1688.2005.tb03740.x.

Specifically, the purpose is to estimate the volume inflow to the Simly Dam located at the outlet of the watershed in order to develop an efficient decision framework to facilitate, plan and assess the management of this important reservoir. Swat model was used successfully to estimate the water balance components in South eastern Ethiopia by Shawul et al. It originates from Murree hills and passes through the steep slopes (about 3.78%) and enters the plains near Chirah.

It developed by Agricultural Research Services of United States Department of Agriculture to predict the impact of land management practices on water, sediment, and agriculture chemical yields in large and complex watersheds with varying soil, land use, and management conditions over long periods of time, Arnold et al. Arc SWAT (Arc GIS-SWAT) is the latest available version which is used as an interface between Arc GIS and the SWAT model.

Arc SWAT version 2.3.4 which was built for Arc Map 9.3 is used in this study, Winchell et al. Spatial data (DEM, soil and land use) are used in the preprocessing phase and fed into the SWAT model through the interface.

SWAT is a river basin, or watershed, scale model which has the capableness to simulate both the spatial heterogeneity and the physical processes occurring within smaller modeling units, known as hydrologic response units (HRU) for the sustainable planning and management of surface water resources of rivers. Simly Dam is an 80 m high earthen embankment dam located in 33° 43' 08" N, 73° 20' 25" E at 30 km northeast of Islamabad and Rawalpindi in Rawalpindi District, Punjab and was constructed in 1983, IUCN Pakistan [14].

SWAT has been adjudged by researches as computationally efficient in its prediction, Neitsch et al. It has a reliability which confirmed in several areas around the world. It was tested and used in many regions of Africa by Fadil et al. Simly Dam catchment area receives heavy precipitation in the form of snow and rainfall.

Based on four recommended statistical coefficients, the evaluation indicates a good performance for both calibration and validation periods and acceptable agreement between measured and simulated values of both annual and monthly scale discharge.

The water balance components were correctly estimated and the Simly Dam inflow was successfully reproduced with Coefficient of Determination (R2) of 0.75.

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