Percentile of moisture of the entire waste stream handled for the day โ measured sub-stream wise with a hygrometer and with adjustments calculated against the weight of the said sub-stream.
- Expected average – < 15%
Averages
Intervening Variables
- Adverse Climatic Conditions
- Poor segregation due to lack of sanitation staff during public holidays – Tourist Influxes – and Fairs & Festivals.
Confounding Variables
- Absence of trained key personnel leading to observation errors.
- Special Activities such as clearing of backlogs.
- Special single streams can affect observation
Monthly Trend Since 2023
Recent 6-Month Trend
Recent 31-Day Trend
OBSERVATIONS
Yearly Trends
- Seasonal variations fairly consistent since since February 2024
- Recordings made in 2023 to be largely ignored due to obvious observer bias, no supportive evidence found in any of the other monitoring parameters
- Lower percentiles during current years can be attributed to better recording methodologies chiefly sampling and interpolation to weight
Six Month Trend
- Percentiles higher during during wet spells except for a few isolated abrupt spikes which can be due to observer error
- Averages on the whole are much higher than the national average even during very dry spells
31-Day Trend
- The spikes observed on 4th & 7th of Jul to be ignored as they indicate observer error due to improper sampling
- Assessment not made on Sundays as re-sorting is not carried out cf. KPI-6
- Frequent power outages during the past week may have affected observations
Compartmentalisation of delivery vehicles recommended as the high moisture content seen during dry spells is chiefly due to seepage of wet waste content, such a measure will help in recovery of paper and related
31-Day Timeline of KPIs & their Variables