Illinois State Water Survey

Fingerprint The Elsevier Fingerprint Engine mines the text of the experts' scholarly documents – publication abstracts, awards, project summaries, patents, and other sources – to create an index of weighted terms which defines the text, known as a Fingerprint. By aggregating and comparing Fingerprints, the Elsevier Fingerprint Engine enables users to look beyond metadata and expose valuable connections among people, research units, publications, and ideas.

Rivers Engineering & Materials Science
lake Earth & Environmental Sciences
Lakes Engineering & Materials Science
river Earth & Environmental Sciences
watershed Earth & Environmental Sciences
Watersheds Engineering & Materials Science
Aquifers Engineering & Materials Science
aquifer Earth & Environmental Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

No photo of Daniel Abrams

Daniel Abrams

Person: Academic

20102019
No photo of James Randal Angel

James Randal Angel

Person: Academic

19892019
No photo of Jennie Renee Atkins

Jennie Renee Atkins

Person: Academic

20022007

Research Output 1976 2019

A Comparative Analysis of the Historical Accuracy of the Point Precipitation Frequency Estimates of Four Data Sets and Their Projections for the Northeastern United States

Wu, S., Markus, M., Lorenz, D., Angel, J. R. & Grady, K., Jun 19 2019, In : Water. 11, 6, 1279.

Research output: Contribution to journal › Article

Open Access
partial duration series
twenty first century
analysis
gauge
infrastructure

Conceptualizing leakage and storage contributions from long open interval wells in regional deep basin flow models

Mannix, D. H., Abrams, D., Hadley, D. R. & Roadcap, G. S., Jan 15 2019, In : Hydrological Processes. 33, 2, p. 271-282 12 p.

Research output: Contribution to journal › Article

leakage
well
aquifer
basin
sandstone

Drought monitoring utility of satellite-based precipitation products across mainland China

Zhong, R., Chen, X., Lai, C., Wang, Z., Lian, Y., Yu, H. & Wu, X., 2019, In : Journal of Hydrology. 568, p. 343-359 17 p.

Research output: Contribution to journal › Article

drought
monitoring
climate
artificial neural network
hazard

Press/Media

Low levels of fallout from Fukushima, U.S. study finds

David Gay & Christopher MB Lehmann

2/22/12

1 item of media coverage

Press/Media: Research