A research paper namely ‘Diagnosis of embankment dam distresses using Bayesian
engineering
Description
A research paper namely ‘Diagnosis of
embankment dam distresses using Bayesian
networks. Part I. Global-level
characteristics based on a dam distress database’ has been
shared with you over ‘e learn portal’. In
brief, the paper highlights how dam distresses
can be determined using Bayesian networks,
which is nothing but an extension of
conditional probability that we discussed
in the class. Your task will be to
a. Go through the entire research paper 2-3
times and explain how the probability
and statistics theory can help in
determining the dam distresses. Mention five
points.
b. Take a real-life environmental problem
or a case study, follow the entire
procedure of Bayesian networks discussed in
this paper. All the students must take
a different topic and they must have
completely different mathematical analysis.
Download and install Hugin lite software.
Assume hypothetical mathematical
values if real values are not available,
and solve the problem using the entire
procedure adopted in this study. Some
topics that you can take are (not limited to
these) given in the table below:
c. Provide all the analysis step by step
along with the formulas, calculations and
results.
d. Based on (b and c), mention the primary
mathematical results you obtained and
interpret them, provide policy
recommendations
e. Also, provide some limitations of the
study. [40 M]
S.No. Topic
1 Predicting locations of rainfall
2 Identifying sampling stations along the
river whose water quality is poor
3 Identification of best wastewater
treatment technologies
4 Identification of suitable location of
wastewater treatment technologies
5 Selection of innovative ways of
irrigating the agricultural farms
6 Best management practices in an
agricultural watershed
7 Identification of industries in a
location which are contributing maximum
towards water/air pollution
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