Curve Number Method Runoff Estimation in the Kardeh Watershed, Iran

The major problem in the assessment of the relationship between rainfall and runoff occurs when a study is carried out in ungauged watersheds, in particular, the absence of hydro-climatic data. This study aims to determine the runoff depth using NRCS-CN method with GIS and the effect of slope on run...

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Main Author:	Ebrahimian, Mahboubeh
Format:	Thesis
Language:	English English
Published:	2009
Subjects:	Watersheds - Runoff - Iran - Case studies
Online Access:	http://psasir.upm.edu.my/id/eprint/7141/1/FH_2009_6a.pdf
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id	my-upm-ir.7141
record_format	uketd_dc
spelling	my-upm-ir.71412013-05-27T07:33:39Z Curve Number Method Runoff Estimation in the Kardeh Watershed, Iran 2009-08 Ebrahimian, Mahboubeh The major problem in the assessment of the relationship between rainfall and runoff occurs when a study is carried out in ungauged watersheds, in particular, the absence of hydro-climatic data. This study aims to determine the runoff depth using NRCS-CN method with GIS and the effect of slope on runoff generation in the Kardeh watershed, located between 59º 26´ 3˝ to 59º 37´ 17˝ E longitude and 36º 37´ 17˝ to 36º 58´ 25˝ N latitude, about 42 km north of Mashhad, Khorasan Razavi province, Iran. The US Department of Agriculture, Natural Resources Conservation Service Curve Number (USDA-NRCS-CN) method was applied for estimating the runoff depth in the semi-arid Kardeh watershed. Hydrologic soil group, land use and slope maps were generated in GIS environment. The curve number values from NRCS standard tables were assigned to the intersected hydrologic soil groups and land use maps to generate CN values map. The curve number method was followed to estimate runoff depth for selected storm events in the watershed. Effect of slope on CN values and runoff depth was determined. Estimated runoff depth and slope-adjusted runoff depth were statistically compared with the corresponding observed runoff data. Pair wise comparisons by the t-test, Pearson correlation analysis and percent error were used to investigate the accuracy of estimated data and relationship between estimated and observed runoff depth. The results showed that there was no significant difference between the means of observed and estimated runoff depths (P > 0.05). Fairly positive correlations were detected between observed with estimated runoff and slope-adjusted runoff depth (r = 0.55; P < 0.01) and (r = 0.56; P < 0.01), respectively. About 9 % and 6 % of the estimated and slope-adjusted runoff values were within ±10% of the recorded values, respectively. In addition, about 43 and 37 percent of the estimated and slope-adjusted values were in error by more than ±50 %, respectively. Statistical analysis indicated that percent error of estimated slope-adjusted runoff depth was significantly (p < 0.01) lower than the percent error of estimated runoff depth. This decline in percent error can be explained by the role of slope in runoff generation in steep slope watershed. The results of study indicated that the CN is an effective method for homogenous watersheds in terms of land use, soil, and climate rather than heterogeneous ones like Kardeh watershed. In such watersheds it can be employed with about 60 percent accuracy only for management and conservation purposes however and probably not for computation of design floods. Keywords: Curve Number, Geographic Information System, Kardeh watershed, Slope-adjusted runoff depth Watersheds - Runoff - Iran - Case studies 2009-08 Thesis http://psasir.upm.edu.my/id/eprint/7141/ http://psasir.upm.edu.my/id/eprint/7141/1/FH_2009_6a.pdf application/pdf en public masters Universiti Putra Malaysia Watersheds - Runoff - Iran - Case studies Faculty Forestry English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
topic	Watersheds - Runoff - Iran - Case studies
spellingShingle	Watersheds - Runoff - Iran - Case studies Ebrahimian, Mahboubeh Curve Number Method Runoff Estimation in the Kardeh Watershed, Iran
description	The major problem in the assessment of the relationship between rainfall and runoff occurs when a study is carried out in ungauged watersheds, in particular, the absence of hydro-climatic data. This study aims to determine the runoff depth using NRCS-CN method with GIS and the effect of slope on runoff generation in the Kardeh watershed, located between 59º 26´ 3˝ to 59º 37´ 17˝ E longitude and 36º 37´ 17˝ to 36º 58´ 25˝ N latitude, about 42 km north of Mashhad, Khorasan Razavi province, Iran. The US Department of Agriculture, Natural Resources Conservation Service Curve Number (USDA-NRCS-CN) method was applied for estimating the runoff depth in the semi-arid Kardeh watershed. Hydrologic soil group, land use and slope maps were generated in GIS environment. The curve number values from NRCS standard tables were assigned to the intersected hydrologic soil groups and land use maps to generate CN values map. The curve number method was followed to estimate runoff depth for selected storm events in the watershed. Effect of slope on CN values and runoff depth was determined. Estimated runoff depth and slope-adjusted runoff depth were statistically compared with the corresponding observed runoff data. Pair wise comparisons by the t-test, Pearson correlation analysis and percent error were used to investigate the accuracy of estimated data and relationship between estimated and observed runoff depth. The results showed that there was no significant difference between the means of observed and estimated runoff depths (P > 0.05). Fairly positive correlations were detected between observed with estimated runoff and slope-adjusted runoff depth (r = 0.55; P < 0.01) and (r = 0.56; P < 0.01), respectively. About 9 % and 6 % of the estimated and slope-adjusted runoff values were within ±10% of the recorded values, respectively. In addition, about 43 and 37 percent of the estimated and slope-adjusted values were in error by more than ±50 %, respectively. Statistical analysis indicated that percent error of estimated slope-adjusted runoff depth was significantly (p < 0.01) lower than the percent error of estimated runoff depth. This decline in percent error can be explained by the role of slope in runoff generation in steep slope watershed. The results of study indicated that the CN is an effective method for homogenous watersheds in terms of land use, soil, and climate rather than heterogeneous ones like Kardeh watershed. In such watersheds it can be employed with about 60 percent accuracy only for management and conservation purposes however and probably not for computation of design floods. Keywords: Curve Number, Geographic Information System, Kardeh watershed, Slope-adjusted runoff depth
format	Thesis
qualification_level	Master's degree
author	Ebrahimian, Mahboubeh
author_facet	Ebrahimian, Mahboubeh
author_sort	Ebrahimian, Mahboubeh
title	Curve Number Method Runoff Estimation in the Kardeh Watershed, Iran
title_short	Curve Number Method Runoff Estimation in the Kardeh Watershed, Iran
title_full	Curve Number Method Runoff Estimation in the Kardeh Watershed, Iran
title_fullStr	Curve Number Method Runoff Estimation in the Kardeh Watershed, Iran
title_full_unstemmed	Curve Number Method Runoff Estimation in the Kardeh Watershed, Iran
title_sort	curve number method runoff estimation in the kardeh watershed, iran
granting_institution	Universiti Putra Malaysia
granting_department	Faculty Forestry
publishDate	2009
url	http://psasir.upm.edu.my/id/eprint/7141/1/FH_2009_6a.pdf
_version_	1747810661667176448

Curve Number Method Runoff Estimation in the Kardeh Watershed, Iran

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