ESTIMATION OF PRE- AND POST-DEVELOPMENT NONPOINT WATER QUALITY LOADINGS1

ABSTRACT: A simple procedure for estimating pre- and post-development water quality loadings from residential communities is discussed. The procedure deals with: (a) gathering basic water quality loading numbers observed by others at several watersheds with various land uses; (b) obtaining the breakdown of proposed land uses at various phases of the community development; and (c) estimating pre- and post-development water quality loading numbers by taking the weighted average of the basic loading numbers in terms of areal coverages of different land uses at various phases of development. Results of this simplified procedure have been verified indirectly by comparing them with the estimates derived independently through a more fundamental but time-consuming approach. The procedure was used to evaluate the anticipated water quality impact of two future residential communities in South Florida by analyzing four water quality parameters: Suspended Soils (SS), Total Nitrogen (TN), Total Phosphorus (TP), and Biochemical Oxygen Demand (BOD₅). Although computation of loading numbers with mixed land uses is not an exact science at the present time, the recommended approach appears to be the best available technique to analyze quantitatively the water quality-quantity-land use interactions.     

GEOGRAPHIC VARIATION OF THE STATISTICAL PARAMETERS OF HYDROMETEOROLOGICAL DATA OF THE UNITED STATES1

ABSTRACT: Having determined various statistical parameters for five mean monthly hydrometeorological time series of the United States, directional variation of the autocorrelation numbers, their spatial distribution over the United States and statistical significances are presented in this paper. Two conceptually different approaches (one using directional strips of large combined watersheds and the other with analysis of variances) are employed to explore the geographic variation of the statistical parameters (autocorrelations and explained variances) in question. Results adequately indicate the correspondence between these variations and the observed topographic, climatologic and hydrologic characteristics over the United States.     

ROLE OF SYNTHETIC TIME SERIES IN HYDROMETEOROLOGICAL DATA ANALYSIS1

ABSTRACT: The use of synthetic time series (artificially simulated time series with specific and useful properties built into them) to increase the confidence in the statistical parameters of limited hydrometeorological time series is the subject matter of this paper. By constructing fourteen synthetic time series, a sensitivity analysis is performed to assess the net effect of nonstationarity, number of lags and small sample size on estimated spectral densities. Similarly, the effects of the harmonic-removal procedure on the resulting residual series and the confidence limits in cross spectral analysis are examined in the light of synthetic time series analysis. These analyses clearly indicate the useful supplemental role of synthetic time series in data analysis.     

Interdisciplinary models of water systems

To evaluate the complex interactions of various types of water systems, a water resource management agency is invariably involved in the preliminary step of reviewing the available quantitative methods for formulating interdisciplinary aspects of the water systems. With a view to supplement their efforts, an attempt is made in this paper to review briefly the major useful concepts and models which are intended to broaden the technical horizon of the professionals associated with the regional water resource management programs. Initially, various pathways of model building procedure are outlined. Then associated ecological, economic, social, political, technological and environmental models are discussed in light of some reported quantitative examples. With the understanding of the basic mechanics of these interdisciplinary models, the adequacy of these models and their applications can be examined by the concerned professionals to aid the decision making process for the specific water system in question.     

AIRPORT WASTES AND WATER QUALITY1

ABSTRACT: Waste waters from various operations at the Miami International Airport are characterized. Servicing, maintenance, overhauling, and washing of aircraft seem to be the most significant waste water producing operations. Pollutional constitutents commonly found in the airport wastes include acids, alkalis, detergents, oil, grease, and oxygen demanding substances. Phenols are of concern when stripping and repainting operations occur. Although most airport wastes may be treatable, a great reduction in influent load can be achieved by proper housekeeping methods.     

Estimation of health risks due to copper-based nanoagrochemicals

Environmental Science and Pollution Research - This study estimated health risks due to two types of copper-based nanoagrochemicals (Cu (OH)2 and CuO nanoparticles (NPs)), during inadvertent...