TY - GEN
T1 - Empirical flow parameters
T2 - World Environmental and Water Resources Congress 2015: Floods, Droughts, and Ecosystems
AU - Cleveland, Theodore G.
AU - Neale, Caroline M.
AU - Tay, Cristal C.
AU - Herrmann, George R.
N1 - Publisher Copyright:
© 2015 ASCE.
PY - 2015
Y1 - 2015
N2 - Conditional distributions constructed from an extensive database are presented as an alternative to regression equations to estimate mean section velocity or other selected hydraulic parameters for storm flows or other conditional discharges at un-gauged locations. Illustrative examples are presented showing how to generate the distributions in the R programming environment and represent them as graphs, tables, or quantile functions. A particularly powerful feature of R as the tool to access the database is the ability to rapidly construct conditional distributions, where the distributional information is conditioned on some other criteria in the database. Conditioning addresses considerations such as the 95th percentile discharge from all observations being far less meaningful than the 95th percentile discharge for observations from drainage areas less than 40 square miles (Discharge conditioned on drainage area). Several other conditioning examples are presented. The use of the tool as a screening instrument for hydraulic modeling is discussed.
AB - Conditional distributions constructed from an extensive database are presented as an alternative to regression equations to estimate mean section velocity or other selected hydraulic parameters for storm flows or other conditional discharges at un-gauged locations. Illustrative examples are presented showing how to generate the distributions in the R programming environment and represent them as graphs, tables, or quantile functions. A particularly powerful feature of R as the tool to access the database is the ability to rapidly construct conditional distributions, where the distributional information is conditioned on some other criteria in the database. Conditioning addresses considerations such as the 95th percentile discharge from all observations being far less meaningful than the 95th percentile discharge for observations from drainage areas less than 40 square miles (Discharge conditioned on drainage area). Several other conditioning examples are presented. The use of the tool as a screening instrument for hydraulic modeling is discussed.
UR - http://www.scopus.com/inward/record.url?scp=84935061797&partnerID=8YFLogxK
U2 - 10.1061/9780784479162.250
DO - 10.1061/9780784479162.250
M3 - Conference contribution
AN - SCOPUS:84935061797
T3 - World Environmental and Water Resources Congress 2015: Floods, Droughts, and Ecosystems - Proceedings of the 2015 World Environmental and Water Resources Congress
SP - 2549
EP - 2557
BT - World Environmental and Water Resources Congress 2015
A2 - Webster, Veronica L.
A2 - Karvazy, Karen
PB - American Society of Civil Engineers (ASCE)
Y2 - 17 May 2015 through 21 May 2015
ER -