Extreme rainfall relationship in Mexico

F. Manzano-Agugliaro, A. Zapata-Sierra, C. Fernández-Castañeda, A. García-Cruz and Q. Hernández-Escobedo

Journal of Maps, 2015, vol. 11, issue 3, 405-414

Abstract: Precipitation statistics are inherent to the design of water resource systems by the prediction of two aspects of hydrological processes: the extremes and the averages. Extreme rainfall with high temporal resolution (i.e. an hour or less) is necessary for the design of urban drainage systems, as urban areas are generally characterized by their fast response. However, most weather stations only register daily rainfall. The relationship between the hourly intensity of rain and the daily rain intensity is called parameter K. Thus, if extreme daily rainfall data is available, the parameter K allows the estimation of extreme short-duration rainfall intensities. This study offers a map with the regionalization of the relationship between the maximum intensities of precipitation occurring over intervals 1 and 24 hours (parameter K) for the whole country of Mexico, facilitating the description of the geographical variability of precipitation. In this country a high spatial variability of the parameter K was observed, according to the large area studied.

Date: 2015
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/17445647.2014.945105 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tjomxx:v:11:y:2015:i:3:p:405-414

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjom20

DOI: 10.1080/17445647.2014.945105

Access Statistics for this article

Journal of Maps is currently edited by Dr Mike Smith, Dr Jeremy Porter and Dr Dick Berg

More articles in Journal of Maps from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().