Agriculture Reference
In-Depth Information
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Table 12.3 Categorization of drought conditions based on soil water and potential
evapotranspiration for the state of Sao Paulo, Brazil
Criterion
P and ET p
W / W x
Categorization of drought condition
P
ET p
0.60
Nil
P
ET p
0.4
W / W x < 0.6
Moderate
P < ET p
0 < W / W x < 0.4
Severe
P
=
0
0
Extremely severe
Note: P is accumulated rainfall, ET p is potential evapotranspiration, W is the actual water availability in
the soil, and W x is maximum water availability in the soil.
Table 12.4 Agricultural drought index for Sao Paulo State based
on crop maximum evapotranspiration (CME) and rainfall (P)
[162
Agricultural drought index
Crop development conditions
Line
——
-2.2
——
Long
PgEn
0.80 < ADI
1.0
Good
0.60 < ADI
0.80
Favorable
0.40 < ADI
0.60
Reasonable
0.20 < ADI
0.40
Unfavorable
ADI
0.20
Critical
Pr ecipitation Anomaly
Th e monthly precipitation anomaly for a location is the difference between
m onthly precipitation and a historic average (normal) of precipitation for
th at month. Such an anomaly is the simplest way to monitor drought
co nditions and rainfall variability from year to year.
[162
Water Deficit Anomaly
W ater deficit anomaly is the difference between water deficit for a month
an d the average water deficit for the month. Water deficit is computed using
a water balance methodology (Thornthwaite and Mather, 1955) through
a software developed by Brunini and Caputi (2000).
Palmer Drought Severity Index
C urrently the CIIAGRO determines the Palmer drought severity index
(P DSI; Palmer, 1965) for the S ao Paulo State and makes it available online
(h ttp://ciiagro.iac.br). The PDSI is determined as
0 . 897 PDSI i 1 + (z/ 3 )
z = (P i P i )K i [12.2]
where z is the monthly value of the precipitation anomaly, and k is climatic
characterization of a location.
The normalized value of K i was determined experimentally by Palmer
PDS i =
 
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