ZHOU X. W. ET AL.
tively unstable. The local rural residents have cultural norms of
eating and cooking raw food, such as salad, and drinking un-
boiled water, which could be a great potential threat from the
unsafe drinking water. The most dangerous of the issues would
potentially bring diseases such as diarrhea or intestinal diseases
to the vulnerable population. For the vulnerable population’s
health and safe drinking water, the study is trying to obtain the
following objectives:
1) To assess Pu’er rural drinking water quality, especially
focusing on pathogenic microorganisms by analyzing national
monitoring data of rural drinking water.
2) To explore reasons why the microbial index exceeds the
national rural water standard.
3) To recommend intervention strategies to improve the qual-
ity of safe rural drinking water.
Materials and Method
The study involved 2 types of data collection:
Water Samples Data Collection
The study used existing data obtained from Pu’er Municipal-
ity Rural Water Supply Projects of Water Quality Monitoring
Network of the 11th Five-Year National Plan from 2008-2011
collected by Pu’er Municipal Center for Diseases Prevention
and Control. The water samples were collected in dry season
and rainy season from treated water and tap water and tested by
the GB 5749-2006 National Standard for Rural Drinking Water
Quality.
The data was collected by stratified random sampling method.
At the first stage, the surveillance counties were selected by
stratified random sampling according to the proportion of water
quality, water source, and treatment, which can typically repre-
sent the feature of the central or dispersal water supply of the
counties. At the second stage, from the selected counties,
monitoring sites were selected by stratified random sampling
according to water source, treatment methods, and population
covered, but the sites in county capitals were required to be
included (The National Office of Patriotic Public Health Cam-
paign, 2011).
In total, 905 samples from 5 of the 10 counties/districts in
Pu’er Municipality in 2008-2011 were collected from monitor-
ing sites by 4 different categorized forms: the general informa-
tion of central water quality supply of rural monitoring county,
water source and water supply, monitoring site information and
results of the water sample test, and the pollution events reports.
Each entered data included ID number, card number, name of
counties and sites, type of water supply, water source, time of
completion, invested fund, disinfection methods and facility,
population covered, water supply capacity, date of water sam-
pled, and test date of water sample. In total, there were 20 in-
dexes of water samples tested in labs of Center for Disease
Prevention and Control. All of these labs responsible for the
data collection and testing had already passed the quality au-
thentication of ISO9002. However, most of samples (885 of
905) had no residual chlorine index due to lack of chemical
treatment. So the study only used 19 indexes, including 13
physical and chemical indexes, 3 toxic indexes, 3 microorgan-
ism indexes, which excluded 1 disinfectant index—free residual
chlorine.
Semi-Structured Interviews with Key Informants
In order to justify and help to explain results of the national
water monitoring data in Pu’er Municipality, semi-structured
interviews of qualitative method were used to conduct further
investigations to perceive depth, richness, and complexity in-
herent in the problem as well. The key informants included the
relevant water authorities in different levels, the water moni-
toring professionals and beneficiaries of villages.
The semi-structured interviews only focused on key infor-
mants due to lack of funds to support. These informants in-
cluded:
The water authorities from 2 levels, Pu’er Municipal Gov-
ernment and County/district government, who were especially
responsible for the rural water project, were identified for inter-
views to obtain information about project plan, implementation,
monitoring, and evaluation. In order to avoid refusals, espe-
cially with some politicians, it was crucial to clearly explain the
purpose, necessity, and importance of the survey before the
interviews.
Professionals responsible for collecting water samples and
technicians in labs for testing samples working with the coun-
ties and prefecture CDPC were also interviewed to obtain water
treatment, training and sample tests, among other information.
Some key rural community leaders and villagers near the
Pu’er Municipality were identified for interviews to acquire
certain information regarding operation, maintenance, and
problems. At the same time, the location of the water projects
was observed, including source of water, facilities, physical
structure and methods used for the treatment of water.
Lastly, some of the relevant documents about the project,
such as national and local policy, strategy, and water project
management were also collected for review.
Analysis Methods
The study was trying to search for cause and effect relation-
ships related to the levels of pathogenic microorganisms. The
features of the entire water projects over the 11th Five-Year
Plan were comprehensively analyzed to look at Pu’er rural
water quality, especially focusing on pathogenic microorganism
levels and their trend in different seasons over time, and then to
explain some reasons through database analysis.
SPSS software was used to analyze the collected data. First,
based on the GB 5749-2006 National Standard for Drinking
Water Quality, water samples were analyzed to obtain the per-
centage of water samples which met the national rural drinking
water standard through 13 physical and chemical indexes, 3
toxic indexes, and 3 microorganism indexes. Second, x2 test
was used to test the association of water samples which met and
did not meet the national rural drinking water standard with the
total colony and coliform number among the dry season and
rainy season, treated water and tap water, water sample types,
and physical and chemical treatment. From the significance of
the P value, some potential variables associated with the effect
of the water microbial index could be fairly identified. Finally,
One Way ANOVA was used to find mean total amount of the
microbial levels among 6 sources of water: reservoir, river,
ditch and pond, spring, well, and stream. The results of One
Way ANOVA could find the association of sources of water
with the microorganism levels and help to interpret the quality
among 6 sources of water. It was hoped the study could find
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