Predicting Quality for Drainage Water Managementby P.-S. Tsui, Univ of Nevada Reno, Dep of Plant, Science, Reno, NV, USA,
J. C. Guitjens, Univ of Nevada Reno, Dep of Plant, Science, Reno, NV, USA,
Document Type: Proceeding Paper
Part of: Development and Management Aspects of Irrigation and Drainage Systems
Abstract: In 1982, 405 measurements of the subsurface drainage water quality parameter electrical conductivity (EC) in ds/m were collected. The data were obtained from 15 subsurface drains on 23 acres (9. 3 ha) of irrigated agricultural land at Fallon, Nevada. The temporal and spatial variabilities of EC were studied using time series concepts. Autocorrelation functions (ACF) were used to evaluate the magnitude of temporal and spatial variations of EC. Results suggest that an 11-week period is the maximum time interval for sampling. Autoregressive Integrated Moving Average (ARIMA) models for both temporal and spatial structures were established through the Box-Jenkins time domain modeling process.
Subject Headings: Drainage | Water quality | Spatial analysis | Regression analysis | Quality control | Water management | Water pollution | Salt water | Subsurface drainage | Hydro power | Hydrologic models | Nevada | North America | United States
Services: Buy this book/Buy this article
Return to search