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Modeling state of waste water system in Dakar, Senegal
This report contains a method to mathematically determine the condition of pipes in a sewer system in Dakar, Senegal. First a survival analysis model is established based on probability density functions. The functions are then fitted to a data set consisting of the age of the sewer pipes and their inspected status. The status is ranked on a scale from 0 to 5 where 0 is a practically new pipe and 5 being a pipe with severe deterioration. The data fitting is done using the maximum likelihood function. Based on the established functions a prediction of the deterioration of the system is done, modeling how the proportion of pipes in different states develops. It is found that a model describing the deterioration can be established. It is also found that a few hundred inspected pipes is sufficient to model large quantities of similar pipes with good accuracy as long as consistent classification of the pipes is applied.
Modeling state of waste water system in Dakar, Senegal
This report contains a method to mathematically determine the condition of pipes in a sewer system in Dakar, Senegal. First a survival analysis model is established based on probability density functions. The functions are then fitted to a data set consisting of the age of the sewer pipes and their inspected status. The status is ranked on a scale from 0 to 5 where 0 is a practically new pipe and 5 being a pipe with severe deterioration. The data fitting is done using the maximum likelihood function. Based on the established functions a prediction of the deterioration of the system is done, modeling how the proportion of pipes in different states develops. It is found that a model describing the deterioration can be established. It is also found that a few hundred inspected pipes is sufficient to model large quantities of similar pipes with good accuracy as long as consistent classification of the pipes is applied.
Modeling state of waste water system in Dakar, Senegal
Schennings, Jacob (author) / Pettersson, Rasmus (author)
2016-01-01
IT
Theses
Electronic Resource
English
DDC:
624
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