Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Development of Geomorphic Response Runoff Model for June Month for Small Watersheds


Affiliations
1 Department of Agricultural Engineering, College of Agriculture (MPKV), Dhule (M.S.), India
     

   Subscribe/Renew Journal


Computation of runoff due to effective rainfall is essential to estimate soil erosion and sediment load in streams. Moreover, the estimation of runoff distribution with time and peak runoff rate are needed in several hydrologic applications, including design of hydraulic structures, flood prevention works and design of drainage systems. Computation of runoff due to effective rainfall is essential. This requires comprehensive knowledge of the various hydrological phenomena occurring in the catchment. All the watersheds cannot be gauged, as it would be costly and time consuming. Therefore, the indirect method of runoff quantification has to be resorted. The geomorphic parameters are quite useful as they reflect all the causative factors of the runoff. In the present study ten watersheds from Tapi catchment, Maharashtra, India were selected for development of geomorphic response models for prediction of June monthly runoff. Twelve geomorphic parameters were selected for development of model out of which two parameters, Sa and Rb are screened out in the principal component analysis. Remaining ten parameters are grouped into three physically significant components. The data sets was used to regress the runoff factor, R /√ A , on three independent parameters (one each from already established components and rainfall factor, P /√ A . It is observed that percentage deviation ranges from 0.3 to 7.0 using monthly runoff model for June. Therefore, developed runoff can be conveniently used for prediction of June month runoff from unguaged watersheds of the basin having similar physiographic conditions.

Keywords

Geomorphic Response Model, Geomorphological Parameters, Runoff, Sediment Production Rate, PCA.
Subscription Login to verify subscription
User
Notifications
Font Size



  • Development of Geomorphic Response Runoff Model for June Month for Small Watersheds

Abstract Views: 353  |  PDF Views: 0

Authors

Sandip P. Nikam
Department of Agricultural Engineering, College of Agriculture (MPKV), Dhule (M.S.), India

Abstract


Computation of runoff due to effective rainfall is essential to estimate soil erosion and sediment load in streams. Moreover, the estimation of runoff distribution with time and peak runoff rate are needed in several hydrologic applications, including design of hydraulic structures, flood prevention works and design of drainage systems. Computation of runoff due to effective rainfall is essential. This requires comprehensive knowledge of the various hydrological phenomena occurring in the catchment. All the watersheds cannot be gauged, as it would be costly and time consuming. Therefore, the indirect method of runoff quantification has to be resorted. The geomorphic parameters are quite useful as they reflect all the causative factors of the runoff. In the present study ten watersheds from Tapi catchment, Maharashtra, India were selected for development of geomorphic response models for prediction of June monthly runoff. Twelve geomorphic parameters were selected for development of model out of which two parameters, Sa and Rb are screened out in the principal component analysis. Remaining ten parameters are grouped into three physically significant components. The data sets was used to regress the runoff factor, R /√ A , on three independent parameters (one each from already established components and rainfall factor, P /√ A . It is observed that percentage deviation ranges from 0.3 to 7.0 using monthly runoff model for June. Therefore, developed runoff can be conveniently used for prediction of June month runoff from unguaged watersheds of the basin having similar physiographic conditions.

Keywords


Geomorphic Response Model, Geomorphological Parameters, Runoff, Sediment Production Rate, PCA.

References