Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Sign In to gain access to subscriptions and/or personal tools.
Progress in Physical Geography
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Mendoza, M.
Right arrow Articles by Bravo, M.
Right arrow Search for Related Content
GeoRef
Right arrow GeoRef Citation
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Spatial prediction in hydrology: status and implications in the estimation of hydrological processes for applied research

Manuel Mendoza

Instituto de Ecología, UNAM, Antigua Carretera a Pátzcuaro 8701, C.P. 58190, Colonia Ex-Hacienda San José de La Huerta, Morelia, Michoacán, México, mmendoza{at}oikos.unam.mx

Gerardo Bocco

Instituto de Ecología, UNAM, Antigua Carretera a Pátzcuaro 8701, C.P. 58190, Colonia Ex-Hacienda San José de La Huerta, Morelia, Michoacán, México

Miguel Bravo

CENAPROS-INIFAP, Km 18.5 Carretera Morelia-Aeropuerto, Álvaro Obregón, Michoacán, México

Based on a review of research, the linkages between distributed hydrological modelling (DHM) remote sensing (RS) and geographical information system (GIS) techniques, coupled with geomorphological knowledge are discussed. While presenting characteristics of the models, techniques, and supporting analytical tools of geographical hydrology, the emphasis is on the estimation of hydrological variables. The first is limited to the spatialization and integration of low resolution meteorological data with hydrological models in a GIS environment. The second includes research in the calculation of precipitation, evapotranspiration, radiation, etc., from the digital analyses of remote sensing data, to feed either lumped or spatially distributed models. The third links the tools of GIS and RS with hydrological modelling; usually it makes intensive use of the tools of GIS for several scales of spatial modelling. The last group integrates GIS, RS and hydrological modelling supported by the delimitation and characterization of environmental units, generally to detailed and semi-detailed scales.

Key Words: applied research • distributed hydrological modelling • GIS • RS

Progress in Physical Geography, Vol. 26, No. 3, 319-338 (2002)
DOI: 10.1191/0309133302pp335ra
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 Environmental GeosciencesHome page
N. Diodato
Hydroinformatics system for pollutant potential leaching spatial uncertainty assessment
Environmental Geosciences, December 1, 2006; 13(4): 227 - 238.
[Abstract] [Full Text] [PDF]