English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Multiple regression analysis was conducted to find relations between watershed properties and surface water quality in the Tonegawa River basin and the Arakawa River basin. Data of common bacteria in surface water was prepared from statistics on the water source for water purification facilities during the decade between 1995 and 2011. For the objective variable in the multiple regression analysis, statistical values were calculated from the statistics data including mean and maximum. Cluster analysis was used to provide about 10 appropriate explanatory variables from 132 properties for the multiple regression analysis. As a result of the analysis, we found population, the number of dairy farmers and the number of hen in each watershed had a relation with the mean value of common bacteria. The number of hen has a high relation with the average of annual maximum value of common bacteria. From the results, it can be said that the statistical values of the surface water quality related to pathogenic microorganism index can be expressed by some simple equations.

doboku gakkai rombunshuu. b1, suikougaku

MULTIPLE REGERSSION ANALYSYS OF BACTERIAL POLLUTION IN SURFACE WATERS AND WATERSHED PROPERTIES IN THE TONEGAWA AND ARAKAWA RIVER BASINS USING WATER SUPPLY STATISTICS