Stochastic Analysis and Control of Urban Estuarine Water-Quality Systems: Vol. I, Estimation and Prediction.
Purchase Print Copy
|Add to Cart||Paperback110 pages||$25.00||$20.00 20% Web Discount|
Describes the interrelationships among the major components of a typical urban estuarine interactive water-quality system. The nonparametric cross-spectral method is used to analyze the responsive behavior between the rainfall and the quantity and quality of the resulting overflow, as well as the characteristics of the stochastic noise components of several drainage systems. In this investigation prediction functions and coliform equations were formulated for use in developing urban drainage models for estimating the quantity and quality of discharges from the peripheral drainage systems of Jamaica Bay in New York. It is concluded that the methods used in this report can be used effectively for analyzing and predicting an urban drainage system's response for control purposes, and that control processes for systems such as Jamaica Bay should be based upon a feed-forward scheme using predictive functions, since most of the parameters governing the control are not measurable in real time. 110 pp. Ref.
This report is part of the RAND Corporation Report series. The report was a product of the RAND Corporation from 1948 to 1993 that represented the principal publication documenting and transmitting RAND's major research findings and final research.
This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.
The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.