Statistical and Hybrid Methods Implemented in a Web Application for Predicting Reservoir Inflows during Flood Events-Reference-Cited by-同舟云学术

Statistical and Hybrid Methods Implemented in a Web Application for Predicting Reservoir Inflows during Flood Events

Published:2017-09-18 Issue:1 Volume:54 Page:69-89
ISSN:1093-474X
Container-title:JAWRA Journal of the American Water Resources Association
language:en
Short-container-title:J Am Water Resour Assoc

Author:

Zhao Tingting¹,Minsker Barbara²,Salas Fernando³,Maidment David⁴,Diev Vesselin⁵,Spoelstra Jacob⁵,Dhingra Prashant⁵

Affiliation:

1. Department of Civil and Environmental Engineering; University of Illinois at Urbana-Champaign; 4129 Newmark Civil Engineering Laboratory; Urbana Illinois 61801

2. Department of Civil and Environmental Engineering; Southern Methodist University; Dallas Texas 75275

3. UCAR; NOAA/NWS National Water Center; Tuscaloosa Alabama 35401

4. Center for Research in Water Resources; University of Texas at Austin; Austin Texas 78712

5. Data Science and Machine Learning; Microsoft; Redmond Washington 98052

Funder

Microsoft Research

Publisher

Wiley

Subject

Earth-Surface Processes,Water Science and Technology,Ecology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/1752-1688.12575/fullpdf

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