Supposing noninformative prior distribution of a parameter which expressed the strength of spatial correlation, the evaluation function was deduced in order to search for the optimal arrangement of sampling points in the initial survey of the general condition of soil pollution without any prior information. Then, we developed the optimization algorithms which used the genetic algorithm (GA), the method of stepwise movementto the best point (SMBP) and two types of their hybrid algorithms. The results showed that hybrid algorithm (1), which carry out seaches by SMBP for all initial arrangements and then carry out GA using local solutions obtained by the SMBP, got the most stably good performance. Using the algorithm, some optimum solutions were searched, and the results showed that sampling points were approximately equally distributed in the site.

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It is essential to know that which operation condition makes purple nonsulfur bacteria (PnSB) predominant among other bacteria in order to operate organic wastewater treatment and simultaneous material production system using those bacteria. In this study, we show that PnSB predominancy occurred and growth of cyanobacteria was inhibited by an irradiation of a light which wave length was selected by infrared filter (>800nm). FISH (fluorescence in situ hybridization) results revealed that ratio of PnSB against whole bacteria were 40-50% in a run with infrared filter. PCR-DGGE (denaturing gradient gel electrophoresis) was applied for microbial community analysis. Prominent DGGE bands were related to PnSB, Rhodopseudomonas palustris.

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