A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Improved Regionalization of the CN Method for Extreme Events at Ungauged Sites across the US
https://orcid.org/0000-0002-1531-7049
The curve number (CN) equation is a semiempirical, event-based model commonly used to estimate rainfall runoff. This model was originally developed in the 1950s to estimate storm runoff from 24-h rainfall events from small catchments. The model consists of two parameters: (1) the curve number (), which represents soil type, land use, and land cover; and (2) the initial abstraction (), i.e., the amount of rain that needs to accumulate before storm runoff begins. Despite its narrow-intended use, the CN model is widely used for many applications from engineering design to hydrologic modeling and uses parameter tables and guidelines developed in the mid-20th century. Changes in land management and hydrological science pose questions about the continued relevancy of the model in general and the tabulated parameters specifically. We used Catchment Attributes and Meteorology for Large-Sample Studies (CAMELS), a recently collated data set of watershed characteristics and performed regression analyses on the watershed attributes to determine whether the and parameters can better fit a wider range of attributes than can the currently used tables. Our analyses focused on 5–35 year peak runoff events. We considered 333 small to medium watersheds distributed across the contiguous US and more than 40 watershed characteristics. We found that the CN model generally worked best if was much smaller than traditionally assumed. Indeed, generally worked well. We also found that -values generally correlated well with climate (elevation, average precipitation) and soil permeability (sand fraction, saturated hydraulic conductivity). Our results suggest that the CN model can work relatively well for engineering purposes in ungauged watersheds and that the expanding stream of remotely sensed geographic data may allow for better -values than those from the current tables. We suggest that this study be expanded to include a wider range of watershed and storm characteristics.
Improved Regionalization of the CN Method for Extreme Events at Ungauged Sites across the US
https://orcid.org/0000-0002-1531-7049
The curve number (CN) equation is a semiempirical, event-based model commonly used to estimate rainfall runoff. This model was originally developed in the 1950s to estimate storm runoff from 24-h rainfall events from small catchments. The model consists of two parameters: (1) the curve number (), which represents soil type, land use, and land cover; and (2) the initial abstraction (), i.e., the amount of rain that needs to accumulate before storm runoff begins. Despite its narrow-intended use, the CN model is widely used for many applications from engineering design to hydrologic modeling and uses parameter tables and guidelines developed in the mid-20th century. Changes in land management and hydrological science pose questions about the continued relevancy of the model in general and the tabulated parameters specifically. We used Catchment Attributes and Meteorology for Large-Sample Studies (CAMELS), a recently collated data set of watershed characteristics and performed regression analyses on the watershed attributes to determine whether the and parameters can better fit a wider range of attributes than can the currently used tables. Our analyses focused on 5–35 year peak runoff events. We considered 333 small to medium watersheds distributed across the contiguous US and more than 40 watershed characteristics. We found that the CN model generally worked best if was much smaller than traditionally assumed. Indeed, generally worked well. We also found that -values generally correlated well with climate (elevation, average precipitation) and soil permeability (sand fraction, saturated hydraulic conductivity). Our results suggest that the CN model can work relatively well for engineering purposes in ungauged watersheds and that the expanding stream of remotely sensed geographic data may allow for better -values than those from the current tables. We suggest that this study be expanded to include a wider range of watershed and storm characteristics.
Improved Regionalization of the CN Method for Extreme Events at Ungauged Sites across the US
https://orcid.org/0000-0002-1531-7049
The curve number (CN) equation is a semiempirical, event-based model commonly used to estimate rainfall runoff. This model was originally developed in the 1950s to estimate storm runoff from 24-h rainfall events from small catchments. The model consists of two parameters: (1) the curve number (), which represents soil type, land use, and land cover; and (2) the initial abstraction (), i.e., the amount of rain that needs to accumulate before storm runoff begins. Despite its narrow-intended use, the CN model is widely used for many applications from engineering design to hydrologic modeling and uses parameter tables and guidelines developed in the mid-20th century. Changes in land management and hydrological science pose questions about the continued relevancy of the model in general and the tabulated parameters specifically. We used Catchment Attributes and Meteorology for Large-Sample Studies (CAMELS), a recently collated data set of watershed characteristics and performed regression analyses on the watershed attributes to determine whether the and parameters can better fit a wider range of attributes than can the currently used tables. Our analyses focused on 5–35 year peak runoff events. We considered 333 small to medium watersheds distributed across the contiguous US and more than 40 watershed characteristics. We found that the CN model generally worked best if was much smaller than traditionally assumed. Indeed, generally worked well. We also found that -values generally correlated well with climate (elevation, average precipitation) and soil permeability (sand fraction, saturated hydraulic conductivity). Our results suggest that the CN model can work relatively well for engineering purposes in ungauged watersheds and that the expanding stream of remotely sensed geographic data may allow for better -values than those from the current tables. We suggest that this study be expanded to include a wider range of watershed and storm characteristics.
Improved Regionalization of the CN Method for Extreme Events at Ungauged Sites across the US
J. Hydrol. Eng.
Neelam, Tahneen Jahan (author) / Steinschneider, Scott (author) / Woodward, Donald E. (author) / Hawkins, Richard (author) / Walter, M. Todd (author)
2024-12-01
Article (Journal)
Electronic Resource
English
Streamflow Prediction in Ungauged Basins: Review of Regionalization Methods
| British Library Online Contents | 2013
Streamflow Prediction in Ungauged Basins: Review of Regionalization Methods
| Online Contents | 2013