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chapter 4: temperature inside the landfill

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Injection records were available only through Day 700 so confirmation of <strong>the</strong> relationship was<br />

possible from Day 150 to Day 700 only. The injection events after Day 700 were identified using<br />

<strong>the</strong> <strong>temperature</strong> drop events at an injection well.<br />

Identification of relevant <strong>temperature</strong> drop events at <strong>the</strong> injection events as well as<br />

monitoring locations was to be accomplished before verifying <strong>the</strong> relationship between <strong>the</strong><br />

injection and <strong>temperature</strong> drop. A <strong>temperature</strong> drop (T-drop) event may be defined as a<br />

significant drop in <strong>temperature</strong> reading of <strong>the</strong> sensor by external influences like moisture arrival<br />

and not by internal aberrations of <strong>the</strong> sensor. After <strong>the</strong> events were identified, an attempt was<br />

made to relate those to <strong>the</strong> injection events and hence to <strong>the</strong> moisture arrival.<br />

Initially, a statistics test was used to indicate significant drop in <strong>temperature</strong>. The t-test<br />

was used for this purpose. The t-test basically examines <strong>the</strong> means of two populations before and<br />

after a change in <strong>the</strong> conditions. The prerequisite conditions for t-test are: <strong>the</strong> data set should be<br />

normally distributed or should consist of more than thirty values. The formulation for t-test can<br />

be expressed as follows:<br />

_<br />

T<br />

t−15<br />

If,<br />

Then,<br />

_<br />

p<br />

_ _<br />

t+ 15 < T t−15<br />

T<br />

_ _<br />

= t<br />

t − test(<br />

T t+ 15,<br />

T −15)<br />

Where T t+<br />

15 is <strong>the</strong> mean of <strong>the</strong> <strong>temperature</strong> readings over fifteen days after <strong>the</strong> time t,<br />

is <strong>the</strong> mean of over fifteen days before <strong>the</strong> time t and p (or probability value) of <strong>the</strong> t-test is<br />

27<br />

(3-4)<br />

(3-5)

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