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A three-year program has been conducted to study the chemistry and biological effects of products arising from the low-level chlorination of natural waters. These studies are related to environmental concerns arising from the discharge of chlorine-treated power plant cooling water. The studies have shown that addition of low levels (2 mg/l) of chlorine to natural waters produces haloforms in concentrations which are orders of magnitude lower than the LC{sub 50}'s measured in a number of fresh ana salt water organisms. Chlorination also produces nonhaloform lipophilic organohalogen products in concentrations much lower than the naloforms, although no evidence was obtained which suggested significant olomagnification of these during chronic exposure of juvenile salmon to chlorinated fresh water. No dramatic effects were noted in organisms chronically exposed to chlorinated waters, but changes in general condition were observed.

As part of the US Program of Technical Assistance to IAEA Safeguards, the Pacific Northwest Laboratory (PNL) was asked to assist in developing and demonstrating a model for assessing the impact of setting criteria for the application of IAEA safeguards. This report presents the results of PNL's work on the task. The report is in three parts. The first explains the technical approach and methodology. The second contains an example application of the methodology. The third presents the conclusions of the study. PNL used the model and computer programs developed as part of Task C.5 (Estimation of Inspection Efforts) of the Program of Technical Assistance. The example application of the methodology involves low-enriched uranium conversion and fuel fabrication facilities. The effects of variations in seven parameters are considered: false alarm probability, goal probability of detection, detection goal quantity, the plant operator's measurement capability, the inspector's variables measurement capability, the inspector's attributes measurement capability, and annual plant throughput. Among the key results and conclusions of the analysis are the following: the variables with the greatest impact on the probability of detection are the inspector's measurement capability, the goal quantity, and the throughput; the variables with the greatest impact on inspection costs …