Agriculture Reference
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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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