Optimal Early Drought Detection Using Stochastic Process

Early drought detection:
an optimal stopping
approach
 
Trigger level
Where should the trigger be set?
Precipitation measures typically
detect drought earlier because
rainfall is a primary source.
The usefulness of an early
warning system is determined by
the ratio of hits to false alarms.
Optimal stopping
Goal: choose a time to take a particular action, in order
to maximise an expected reward or minimise an expected cost.
Consider a 
stochastic process 
and detect a 
stopping time
 at which
some 
gain function
 is maximised or some 
risk function
 is minimised.
In this case, find the optimal stopping time (trigger level) when to
send humanitarian aids.
Tasks
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Explore an optimal stopping approach for early drought detection, focusing on setting trigger levels based on precipitation measures. The goal is to determine the best time to send humanitarian aid by maximizing expected rewards and minimizing expected costs through suitable gain/risk functions. Tasks involve choosing a fitting stochastic process, designing appropriate functions, and setting penalties for false alarms and delays in trigger level detection.

  • Drought detection
  • Stochastic process
  • Trigger levels
  • Humanitarian aid
  • Early warning system

Uploaded on Oct 07, 2024 | 0 Views


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  1. Early drought detection: an optimal stopping approach

  2. Trigger level Where should the trigger be set? Precipitation measures typically detect drought earlier because rainfall is a primary source. The usefulness of an early warning system is determined by the ratio of hits to false alarms.

  3. Optimal stopping Goal: choose a time to take a particular action, in order to maximise an expected reward or minimise an expected cost. Consider a stochastic process and detect a stopping time at which some gain function is maximised or some risk function is minimised. In this case, find the optimal stopping time (trigger level) when to send humanitarian aids.

  4. Tasks Choose a stochastic process which fits the data. Design a suitable gain/risk function: it may have the general form ?1? ????? ????? + ?2? ????????? ????? Set ?1to penalise false alarms (economical reasons) and ?2to penalise delays in the detection of the trigger level (humanitarian reasons).

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