Triangulating from the cairns…

Rocky Mountain Biological Laboratory · Gothic, Colorado · founded 1928. A non-profit field station for long-term ecological research.

Tools

Data Hub Spatial Data Platform Browser Weather and Climate Dashboard Gothic webcam billy barr’s snow records pySDP rSDP RMBL Compute Hub Bloom Forecast

Connect

GitHub · rmbl-sdp RMBL main site ikb@rmbl.org

P.O. Box 519 Crested Butte, CO 81224 · (970) 349-7231 · RMBL is a Colorado non-profit organization with IRS 501(c)(3) status. RMBL is an equal opportunity service provider and employer and operates under permit from the USDA Forest Service, Gunnison National Forest. Support for the Knowledge Commons provided by the Clark Family Foundation.

Irrigation and River Control in the Colorado River Delta — RMBL Knowledge Commons

← Back to PublicationsJournal Article

Irrigation and River Control in the Colorado River Delta

Authors: Cory, H. T.

Year: 1913

Journal: Transactions of the American Society of Civil Engineers, Vol. 76(1), pp. 1204-1453

Publisher: American Society of Civil Engineers (ASCE)

DOI: 10.1061/taceat.0002448

Abstract

384 pages

View at Publisher

Related Works

Items connected by shared entities, co-authorship, citations, or semantic similarity.

Article

Graphical presentation of the daily mean discharge in cubic feet per second of The Uncompahgre River

202662% similar

Dataset

Data for the manuscript "HydroMix v1.0: a new Bayesian mixing framework for attributing uncertain hydrological sources"

201960% similar

Irrigation and River Control in the Colorado River Delta

Abstract

Related Works

Regulation of the Colorado River

Re-engineering the Colorado River

Development of the Upper Colorado River

Flow Release Patterns at Glen Canyon Dam

Riparian Restoration Using Hydrologic Manipulation and Physical Disturbance

Efficient Water Use in the Colorado River Basin

Soil moisure values

Graphical presentation of the daily mean discharge in cubic feet per second of The Uncompahgre River

Data for the manuscript "HydroMix v1.0: a new Bayesian mixing framework for attributing uncertain hydrological sources"

Cited 17 times