Cite Article

Sensitivity Analysis of Rainfall-Runoff Model in Malino Sub-Watershed

Choose citation format

BibTeX

@article{IJASEIT12803,
   author = {A Arlimasita and U Lasminto},
   title = {Sensitivity Analysis of Rainfall-Runoff Model in Malino Sub-Watershed},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {10},
   number = {4},
   year = {2020},
   pages = {1578--1583},
   keywords = {sensitivity; modelling; rainfall-runoff; stream order; HEC-HMS.},
   abstract = {Overtime, science has been developing and trying to use modelling system in the management of hydrology. In this paper, we present a sensitivity analysis for the HEC-HMS rainfall-runoff model. Sensitivity analysis is used to determine the parameter which most influences the result of the model. The main objective of this research is to investigate the sensitivity of parameter in model and to analyze the influence of the graph types used for unit hydrograph. In addition, we also compare the result of lumped and semi-distributed models based on stream order to analyse a common watershed issue. This study will make a model of rainfall-runoff using a sub-catchment distribution method based on stream order. ArcGIS and HEC-HMS were used as softwares to process data. The data needed in this study come from secondary data sourced from various sources. The data that will be processed first is DEM (Digital Elevation Model). DEM used in this study was sourced from the Geospatial Information Agency or commonly referred to as DEMNAS (The National DEM). ArcGIS will process geospatial data in the form of DEM which data results can be used directly to make model in HEC-HMS. Then, the results of the rainfall-runoff model will be calibrated using observed unit hydrograph.  From the result of sensitivity analysis, it was concluded that impervious is the most sensitive parameter. Moreover, this paper also can be used as guidelines for use in rainfall-runoff modelling on HEC-HMS.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12803},
   doi = {10.18517/ijaseit.10.4.12803}
}

EndNote

%A Arlimasita, A
%A Lasminto, U
%D 2020
%T Sensitivity Analysis of Rainfall-Runoff Model in Malino Sub-Watershed
%B 2020
%9 sensitivity; modelling; rainfall-runoff; stream order; HEC-HMS.
%! Sensitivity Analysis of Rainfall-Runoff Model in Malino Sub-Watershed
%K sensitivity; modelling; rainfall-runoff; stream order; HEC-HMS.
%X Overtime, science has been developing and trying to use modelling system in the management of hydrology. In this paper, we present a sensitivity analysis for the HEC-HMS rainfall-runoff model. Sensitivity analysis is used to determine the parameter which most influences the result of the model. The main objective of this research is to investigate the sensitivity of parameter in model and to analyze the influence of the graph types used for unit hydrograph. In addition, we also compare the result of lumped and semi-distributed models based on stream order to analyse a common watershed issue. This study will make a model of rainfall-runoff using a sub-catchment distribution method based on stream order. ArcGIS and HEC-HMS were used as softwares to process data. The data needed in this study come from secondary data sourced from various sources. The data that will be processed first is DEM (Digital Elevation Model). DEM used in this study was sourced from the Geospatial Information Agency or commonly referred to as DEMNAS (The National DEM). ArcGIS will process geospatial data in the form of DEM which data results can be used directly to make model in HEC-HMS. Then, the results of the rainfall-runoff model will be calibrated using observed unit hydrograph.  From the result of sensitivity analysis, it was concluded that impervious is the most sensitive parameter. Moreover, this paper also can be used as guidelines for use in rainfall-runoff modelling on HEC-HMS.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12803
%R doi:10.18517/ijaseit.10.4.12803
%J International Journal on Advanced Science, Engineering and Information Technology
%V 10
%N 4
%@ 2088-5334

IEEE

A Arlimasita and U Lasminto,"Sensitivity Analysis of Rainfall-Runoff Model in Malino Sub-Watershed," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 4, pp. 1578-1583, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.4.12803.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Arlimasita, A
AU  - Lasminto, U
PY  - 2020
TI  - Sensitivity Analysis of Rainfall-Runoff Model in Malino Sub-Watershed
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 4
Y2  - 2020
SP  - 1578
EP  - 1583
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - sensitivity; modelling; rainfall-runoff; stream order; HEC-HMS.
N2  - Overtime, science has been developing and trying to use modelling system in the management of hydrology. In this paper, we present a sensitivity analysis for the HEC-HMS rainfall-runoff model. Sensitivity analysis is used to determine the parameter which most influences the result of the model. The main objective of this research is to investigate the sensitivity of parameter in model and to analyze the influence of the graph types used for unit hydrograph. In addition, we also compare the result of lumped and semi-distributed models based on stream order to analyse a common watershed issue. This study will make a model of rainfall-runoff using a sub-catchment distribution method based on stream order. ArcGIS and HEC-HMS were used as softwares to process data. The data needed in this study come from secondary data sourced from various sources. The data that will be processed first is DEM (Digital Elevation Model). DEM used in this study was sourced from the Geospatial Information Agency or commonly referred to as DEMNAS (The National DEM). ArcGIS will process geospatial data in the form of DEM which data results can be used directly to make model in HEC-HMS. Then, the results of the rainfall-runoff model will be calibrated using observed unit hydrograph.  From the result of sensitivity analysis, it was concluded that impervious is the most sensitive parameter. Moreover, this paper also can be used as guidelines for use in rainfall-runoff modelling on HEC-HMS.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12803
DO  - 10.18517/ijaseit.10.4.12803

RefWorks

RT Journal Article
ID 12803
A1 Arlimasita, A
A1 Lasminto, U
T1 Sensitivity Analysis of Rainfall-Runoff Model in Malino Sub-Watershed
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 4
YR 2020
SP 1578
OP 1583
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 sensitivity; modelling; rainfall-runoff; stream order; HEC-HMS.
AB Overtime, science has been developing and trying to use modelling system in the management of hydrology. In this paper, we present a sensitivity analysis for the HEC-HMS rainfall-runoff model. Sensitivity analysis is used to determine the parameter which most influences the result of the model. The main objective of this research is to investigate the sensitivity of parameter in model and to analyze the influence of the graph types used for unit hydrograph. In addition, we also compare the result of lumped and semi-distributed models based on stream order to analyse a common watershed issue. This study will make a model of rainfall-runoff using a sub-catchment distribution method based on stream order. ArcGIS and HEC-HMS were used as softwares to process data. The data needed in this study come from secondary data sourced from various sources. The data that will be processed first is DEM (Digital Elevation Model). DEM used in this study was sourced from the Geospatial Information Agency or commonly referred to as DEMNAS (The National DEM). ArcGIS will process geospatial data in the form of DEM which data results can be used directly to make model in HEC-HMS. Then, the results of the rainfall-runoff model will be calibrated using observed unit hydrograph.  From the result of sensitivity analysis, it was concluded that impervious is the most sensitive parameter. Moreover, this paper also can be used as guidelines for use in rainfall-runoff modelling on HEC-HMS.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12803
DO  - 10.18517/ijaseit.10.4.12803