Metcalf&Eddy使用在线颗粒计数来确定贾第虫和隐孢子虫大小颗粒的颗粒计数和对数去除，以便优化和比较不同中试和全尺寸工艺的性能。通过在线颗粒计数对四种水处理工艺进行了评估:直接过滤、一种全尺寸和一种中试版的不同类型的污泥床过滤澄清和过滤溶解气浮（DAF）。对使用深床颗粒活性炭的直接过滤水处理厂进行了评估，以确定是否可以改善过滤性能。从颗粒计数数据可以得出结论，改变混凝剂和稍微更小的GAC介质将大大提高过滤效果。进行了一项初步研究，比较: 有管和无管的污泥床澄清，以及深床GAC过滤和单介质砂过滤；现有上流式污泥床澄清和GAC过滤工艺。评价了高、低剂量预臭氧氧化、预臭氧氧化和中间臭氧氧化对颗粒物去除的影响。对溶解气浮（DAF）和双介质过滤处理两种不同原水水质的性能进行了初步研究，并对明矾、铝酸钠和聚合氯化铝混凝剂进行了比较。比较了不同澄清器和过滤器表面负荷率下的性能。这些研究表明，实时使用在线颗粒计数，优化和记录作为整体过程单独或一起进行的澄清和过滤单元过程的性能是有效的。 讨论了管理、分析和解释颗粒计数和测井去除数据的各种方法。总结了各种单元工艺的性能，以及在线颗粒计数在去除贾第虫和隐孢子虫大小颗粒的工艺优化中的应用和有效性。还讨论了进一步研究的建议。

Metcalf & Eddy used on-line particle counting to determine the particle count and log removal of Giardia- and Cryptosporidium- sized particles, in order to optimize and compare the performance of different pilot and full-scale processes. Four types of water treatment processes were evaluated with on-line particle counting: direct filtration, one full-scale and one pilot version of different types of sludge blanket clarification with filtration, and dissolved air floatation (DAF) with filtration. A direct filtration water treatment plant using deep bed granular activated carbon was evaluated to determine if filtration performance could be improved. From the particle counting data it was concluded that a change in coagulant and a change to a slightly smaller GAC media would greatly improve the effectiveness of filtration. A pilot study was conducted comparing: sludge blanket clarification with and without tubes and coupled with deep bed GAC filtration and single media sand filtration; to an existing up-flow sludge blanket clarification and GAC filtration process. The effect of high and low dose pre-ozonation and pre and intermediate ozonation on particle removal was evaluated. A pilot study was conducted evaluating the performance of dissolved air flotation (DAF) and dual media filtration for treating two different raw water qualities, and comparing alum, sodium aluminate and polyaluminum chloride coagulants. Performance was compared under different clarifier and filter surface loading rates. These studies illustrate the effectiveness of using on-line particle counting in real time, to optimize and document the performance of clarification and filtration unit processes taken separately or together as an overall process. Various ways of managing, analyzing, and interpreting particle count and log removal data are discussed. Conclusions are drawn about the performance of the various unit processes and the application and effectiveness of on-line particle counting for process optimization with respect to removal of Giardia- and Cryptosporidium- sized particles. Recommendations for further study are also discussed.