A
Alfonso Mejia
Researcher at Pennsylvania State University
Publications - 70
Citations - 1497
Alfonso Mejia is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Streamflow & Flood myth. The author has an hindex of 18, co-authored 63 publications receiving 1060 citations. Previous affiliations of Alfonso Mejia include University of Maryland, College Park & Silver Spring Networks.
Papers
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Journal ArticleDOI
Decomposition of 2D polygons and its effect in hydrological models
Pedro Sanzana,Jorge Gironás,Isabelle Braud,Nancy Hitschfeld,Flora Branger,F. Rodriguez,Musandji Fuamba,J. Romero,Ximena Vargas,José F. Muñoz,Sebastián Vicuña,Alfonso Mejia +11 more
TL;DR: In this article, a flexible divide-and-conquer strategy was proposed to decompose polygons into physiographical meaningful parts using shape descriptors to better represent the surface terrain and hydrologic connectivity.
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The effects of disproportional load contributions on quantifying vegetated filter strip sediment trapping efficiencies
Heather E. Gall,Daniel Schultz,Tamie L. Veith,Sarah C. Goslee,Alfonso Mejia,Ciaran J. Harman,Cibin Raj,Paul H. Patterson +7 more
TL;DR: In this paper, the authors investigated the extent of disparity between reporting average efficiencies from each runoff event over the course of 1 year versus the total annual load reduction, with the greatest disparities observed for soils with high clay content.
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Climate and hydrological seasonal effects on household water insecurity: A systematic review
TL;DR: In this article , a systematic literature review was conducted to examine how environmental seasonality contributes to household water insecurity and how the effects vary over time, highlighting strategic areas for future research.
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Approaches to analyse and model changes in impacts: reply to discussions of “How to improve attribution of changes in drought and flood impacts”*
Heidi Kreibich,Veit Blauhut,Jeroen C. J. H. Aerts,Laurens M. Bouwer,Henny A. J. Van Lanen,Alfonso Mejia,Marjolein Mens,Anne Van Loon +7 more
TL;DR: In this paper, the authors discuss the possibility to collect time series of data on hazard, exposure, vulnerability and impacts and how these could be used to improve e.g. socio-hydrological models for the development of future risk scenarios.
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Projecting Flood-Inducing Precipitation with a Bayesian Analogue Model
TL;DR: In this article, a Bayesian analogue method that leverages large, synoptic-scale atmospheric patterns to make precipitation forecasts is presented, where changing spatial dependence across varying intensities is modeled as a mixture of spatial Student-t processes.