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Walter Collischonn

Researcher at Universidade Federal do Rio Grande do Sul

Publications -  208
Citations -  5098

Walter Collischonn is an academic researcher from Universidade Federal do Rio Grande do Sul. The author has contributed to research in topics: Streamflow & Hydrological modelling. The author has an hindex of 37, co-authored 196 publications receiving 4219 citations.

Papers
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Book ChapterDOI

River Flood Modeling and Remote Sensing Across Scales: Lessons from Brazil

TL;DR: In this paper, the authors present some recent lessons from Brazil regarding the use of remote sensing (RS) data in improving flood models across scales, showing that more distributed information of cross-sections are needed to achieve better predictions.

Desafios e oportunidades para implementação do hidrograma ecológico

TL;DR: Palavras-Chave et al. as mentioned in this paper presented an assessment over the feasibility of applying existing techniques to adopt environmental flows which resemble the natural regime in the country, including the Australian cap, the South Africa reserve and the American adaptive management.
Journal Article

Using TRMM rainfall estimates in hydrological and hydrodynamic modelling of the Amazon Basin

TL;DR: The MGB-IPH as mentioned in this paper is a distributed, physically-based model using the Muskingum-Cunge formulation and a full hydrodynamic model for river routing.
Journal ArticleDOI

Estimating design hydrographs at the basin scale: from event-based to continuous hydrological simulation

TL;DR: In this paper, the authors compared a continuous simulation (CSM) method with an event-based (EBM) method, by forcing a rainfall-runoff model with long precipitation series, and directly analyzing the output discharges.
Journal ArticleDOI

Modelo analítico de qualidade da água acoplado com Sistema de Informação Geográfica para simulação de lançamentos com duração variada

TL;DR: A water quality model coupled with an open source Geographic Information System (GIS) software representing the impacts of large scale pollutant releases, with a systemic view of the entire basin, and simplified tools to deal with typical data scarcity situations is presented.