scispace - formally typeset
A

Adam S. Ward

Researcher at Indiana University

Publications -  99
Citations -  2501

Adam S. Ward is an academic researcher from Indiana University. The author has contributed to research in topics: Environmental science & Computer science. The author has an hindex of 25, co-authored 72 publications receiving 1703 citations. Previous affiliations of Adam S. Ward include Pennsylvania State University & University of Iowa.

Papers
More filters
Journal ArticleDOI

Hydrologic and geomorphic controls on hyporheic exchange during base flow recession in a headwater mountain stream

TL;DR: In this article, the authors quantified the 2D spatial extent of hyporheic exchange through seasonal base flow recession using electrical resistivity (ER) images and spatial moment analysis.
Journal ArticleDOI

Weather whiplash in agricultural regions drives deterioration of water quality

TL;DR: In this paper, the authors show that changing precipitation patterns, resulting from climate change, interact with agricultural land use to deteriorate water quality, and that increased weather whiplash will, in part, increase the frequency of riverine N exceeding drinking water standards.
Journal ArticleDOI

Is the Hyporheic Zone Relevant beyond the Scientific Community

TL;DR: In this paper, the authors highlight the potential of hyporheic restoration to efficiently manage and reactivate ecosystem functions and services in river corridors, highlighting the critical importance of hy porheic zones, both from a scientific and an applied perspective, and their role in ecosystem services.
Journal ArticleDOI

Imaging hyporheic zone solute transport using electrical resistivity

TL;DR: In this paper, the authors demonstrate the application of near-surface electrical resistivity imaging (ERI) methods, coupled with experiments using an electrically conductive stream tracer (dissolved NaCl), to provide in situ imaging of spatial and temporal dynamics of hyporheic exchange.
Journal ArticleDOI

Identifiability of transient storage model parameters along a mountain stream

TL;DR: In this article, the authors investigate parameter identifiability along with the stream conditions that control identifyability for 10 breakthrough curves (BTC) for 100 m pulse injections along Stringer Creek, Montana, USA.