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A Probabilistic Weighted Joint Aggregative Drought Index (PWJADI) criterion for drought monitoring systems Cover

A Probabilistic Weighted Joint Aggregative Drought Index (PWJADI) criterion for drought monitoring systems

Open Access
|Jan 2019

Figures & Tables

Table 1.

Drought classification criteria of SPI, SPEI and SPTI.

SPI/SPEI/SPTI valuesClassesCumulative probabilities2Extremely Wet (EW)0.977–1.001.5 to 1.99Severe Wet (SW)0.933–0.9771 to 1.49Moderate Wet (MW)0.841–0.933.99 to .99Normal Drought (ND)0.159–0.8411 to 1.49Moderate Drought (MD0.067–0.1591.5 to 1.99Severe Drought (SD0.023–0.0672Extreme Drought (ED)0.000–0.023
Fig. 1.

Flow chart of the proposed framework.

Table 2.

Algorithm evaluation of temporal drought class using PWJADI criterion.

TimeSPI (d1t )SPEI (d2t )SPTI (d3t )PWJADI (djt )2p1c/c1,d12q1c/c1,d22r1c/c1,d32max(p1c/c1,q1c/c1,r1c/c1)  dj23p1c/c1,d13q1c/c1,d23r1c/c1,d33max(p1c/c1,q1c/c1,r1c/c1)  dj34p1c/c1,d14q1c/c1,d23r1c/c1,d34max(p1c/c1,q1c/c1,r1c/c1)  dj4...............np1c/c1,d1nq1c/c1,d2nr1c/c1,d3nmax(p1c/c1,q1c/c1,r1c/c1)  djn
Fig. 2.

Geographical locations of the selected stations.

Fig. 3.

Temporal behaviour of rainfall, minimum temperature, maximum temperature.

Table 3.

Climatology of the selected stations (Monthly data length: 1955–2017).

StationsVariablesJabJanFebMarchAprMayJunJulAugSepOctNovDecAstorRainfallAvg.39.347.378.186.569.825.124.824.923.623.217.028.1Std.35.432.953.350.458.220.321.120.228.230.223.333.7Sk.1.20.71.20.51.21.52.12.03.02.52.12.3Minimum temperatureAvg.−7.3−5.2−0.93.87.411.214.514.610.34.6−0.4−4.6Std.1.91.91.31.31.41.41.21.21.31.01.11.4Sk.−0.30.30.0−0.10.10.8−0.1−0.30.5−0.4−0.10.1Maximum TemperatureAvg.2.94.59.015.019.824.627.226.923.417.711.45.5Std.1.51.72.01.92.31.61.41.51.51.71.71.7Sk.0.70.70.60.10.30.5−0.1−0.40.3−0.4−0.30.2Potential EvapotranspirationAvg.25.933.159.793.3129.6153.2162.8145.4111.074.942.427.6Std.2.94.17.58.412.98.58.69.47.16.23.93.2Sk.−0.40.2−0.40.30.2−0.4−0.90.0−0.70.6−0.10.0ChilasRainfallAvg.5.49.414.823.727.09.617.121.112.67.73.24.7Std.7.312.816.123.226.09.917.821.416.716.87.78.4Sk.2.52.82.11.51.41.22.21.82.35.53.93.7Minimum temperatureAvg.1.23.78.513.618.523.827.126.322.414.77.32.5Std.1.31.21.31.52.21.91.41.51.51.31.11.4Sk.0.10.30.1−0.7−0.2−0.1−0.2−0.80.00.2−0.1−0.1Maximum TemperatureAvg.12.114.620.025.931.137.039.238.534.928.420.713.9Std.1.41.82.01.92.71.91.71.71.61.71.41.3Sk.−0.20.40.30.20.30.5−0.1−0.30.0−0.5−0.2−0.1Potential EvapotranspirationAvg.41.754.094.0133.6177.3205.1210.4188.8145.2103.862.041.7Std.3.95.38.810.215.011.212.310.48.26.74.43.4Sk.−0.6−0.1−0.70.30.54.21.80.71.3−0.10.3−0.1IslamabadRainfallAvg.56.280.189.655.936.366.3276.8314.4119.333.516.332.9Std.46.561.257.653.628.358.0152.3134.583.835.020.241.4Sk.0.71.41.41.91.11.30.90.61.22.01.81.7Minimum temperatureAvg.2.95.610.515.520.324.024.623.721.114.68.13.9Std.1.21.51.61.51.81.20.80.71.21.41.51.4Sk.0.20.1−0.50.20.4−0.10.10.0−0.20.30.5−0.5Maximum TemperatureAvg.17.619.624.330.235.738.635.233.633.430.825.420.0Std.1.52.02.32.22.31.31.71.01.21.21.31.5Sk.−0.20.40.7−0.20.1−0.30.6−0.3−0.2−0.7−0.8−0.1Potential EvapotranspirationAvg.58.671.7115.4160.1209.8219.3182.8158.5141.9119.780.260.6Std.4.77.111.012.214.612.615.98.610.26.14.84.8Sk.−0.1−0.50.2−0.2−0.40.20.2−0.32.61.70.2−0.7

[i] Note: Avg. (Average), Std. (Standard deviation), and Sk. (Skewness); Rainfall and temperature are measured in millimetre and centigrade, respectively.

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Table 4.

BIC of various distributions.

StationsAstorChillasIslamabadDistributionsSPISPEISPTISPISPEISPTISPISPEISPTI2P Beta−853.70−586.86−280.10−400.09−501.31−379.15−649.02−798.62−175.523P Weibull−1248.54−742.71−480.83−802.14−499.76−377.99−957.96−794.19−530.144P Beta−1243.31−745.71−469.79−804.11−596.01−338.36−950.07−999.42−524.50Arcsine−976.81−677.68−272.85−573.72−535.82−334.56−733.50−869.80−276.20Burr−897.92−685.22−347.29−552.51−580.56−333.51−685.97−921.57−349.46Cauchy−1062.66−705.69−367.96−609.06−570.14−266.33−815.15−1039.25−339.64Chi−891.67−592.94−247.93−529.75−505.56−263.65−685.96−804.31−186.58Chi − Square−898.99−593.03−441.42−561.03−505.52−233.31−686.20−803.99−400.85Cosine−955.91−749.20−192.31−420.16−588.46−218.93−691.23−912.17−221.50Curvilinear Trapezoidal−919.08−692.83−375.44−465.58−531.02−200.00−662.30−802.74−347.39Exponential−1184.40−592.94−401.81−541.19−505.52−148.24−685.99−803.98−416.79F−−853.70−588.68−457.56−666.41−501.38−118.30−734.53−799.56−397.90Gamma−1231.37−597.08−477.56−676.12−501.38−97.89−958.03−807.46−529.91Generalized Extreme Value−1136.72−744.03−456.48−710.95−600.36−97.11−910.00−1002.13−429.33Generalized normal−1157.38−741.93−476.01−757.31−596.88−94.60−940.23−1005.17−463.18Gumbel−1111.02−730.27−389.62−575.20−579.37−62.38−837.26−1001.09−355.68Inverse Chi − Square−977.24−597.63−273.05−691.27−505.58−58.44−745.12−808.03−277.75Inverse Gamma−1040.61−598.37−396.36−693.05−501.46−43.66−866.58−809.94−363.11Inverse Gaussian−992.97−586.86−356.23−634.16−501.31−39.21−855.36−798.62−301.65Johnson SB−1154.09−748.91−478.62−753.49−618.70−31.88−937.22−842.69−494.07Johnson SU−1152.55−737.66−471.37−752.90−592.94−23.93−935.91−1040.57−458.60Laplace−1071.73−717.40−382.24−586.94−571.37−23.01−830.09−1064.06−352.81Logistic−1080.45−736.36−365.07−568.66−582.07−16.07−809.03−1023.31−329.32Log − normal−1144.79−597.90−478.07−707.29−501.46−16.00−943.26−808.57−464.28Normal−1076.88−743.47−357.27−559.95−585.227.74−801.45−1008.64−320.81Rayleigh−1099.33−741.32−373.83−563.77−584.0813.94−820.24−987.28−338.22Scaled/shifted t−1075.95−739.20−369.08−620.14−581.0818.20−813.32−1039.68−336.58Skewed − normal−1126.18−743.67−384.42−561.25−603.1633.01−838.66−1006.44−354.71Trapezoidal−1111.66−761.06−361.71−543.75−606.2541.18−820.53−1004.38−336.16Triangular−1116.49−749.46−366.35−539.98−608.48105.68−824.84−1008.51−339.99Uniform−860.67−657.41−274.09−487.34−598.51194.16−739.90−817.55−158.35von Mises−874.06−590.16−364.93−552.56−501.56207.11−649.02−800.34−332.92
Fig. 5.

Q–Q plots of Astor station. A- for precipitation, B- for deficient index (D), and C-for DAI index.

Table 5.

Pairwise correlation between quantitative values.

StationPairsCorrelationTest-statisticsp-valueAstorSPI vs SPEI0.623321.8912.2e-16SPI vs SPTI0.936173.1362.2e-16SPEI vs SPTI0.777533.9492.2e-16ChilasSPI vs SPEI0.23236.63865.994e-11SPI vs SPTI0.9793133.982.2e-16SPEI vs SPTI0.389211.6972.2e-16IslamabadSPI vs SPEI0.643323.2582.2e-16SPI vs SPTI0.9181115.232.2e-16SPEI vs SPTI0.739529.3632.2e-16
Fig. 6.

Joint aggregation analysis of PWJADI criterion with SPI, SPEI and SPTI for Astor stations. The correlation among each categorical observed classes is present in top left panel. The scatter plot of historical accumulated drought classes are displayed in top right panel and bottom panel for SPI, SPEI and SPTI, respectively.

Fig. 7.

Temporal representation of switching weights for historical observed Drought classes of SPI, SPEI and SPTI at Astor station.

Fig. 8.

Bar plot of Drought Categories at Astor station: where 1, 2, 3, 4, 5, 6, and 7 represent ED, EW, MD, MW, ND, SD, and SW drought categories, respectively.

Fig. 9.

Histograms of SPI, SPEI, SPTI and PWJADI for Astor.

Table 6.

Transition probability matrix for Astor station.

TPMofSPI=EDEWMDMWNDSDSWEDEWMDMWNDSDSW0.2690.0000.1540.0000.4360.1280.0130.0000.0000.2000.0000.8000.0000.0000.1030.0000.1870.0470.4950.1500.0190.0290.0000.0570.1140.7140.0570.0290.0810.0090.1310.0560.6230.0810.0180.1230.0140.1640.0140.5750.1100.0000.0710.0000.1430.0000.5710.0710.143TPMofSPEI=EDEWMDMWNDSDSWEDEWMDMWNDSDSW0.2580.0000.1360.0000.0610.5450.0000.1110.0000.0000.1110.5560.1110.1110.0800.0000.2180.0000.4600.2410.0000.0370.0000.0370.0740.7040.1480.0000.0390.0220.0530.0510.7510.0560.0290.1740.0000.2540.0070.1740.3840.0070.0000.0000.0670.0670.8000.0000.067TPMofSPTI=EDEWMDMWNDSDSWEDEWMDMWNDSDSW0.2110.0000.1750.0180.4040.0000.0000.0000.0000.0000.3330.6670.0000.0000.0880.0000.2930.0270.4350.0000.0140.0260.0000.1030.1280.7180.0000.0000.0510.0020.1690.0580.5970.0000.0220.1200.0120.2410.0240.4940.0000.0000.0000.0830.0000.1670.7500.0000.000
Table 7.

Shapiro–Wilk normality test.

IndexTest Statistics (W)P-ValuesSPI0.805252.2e-16SPEI0.837442.2e-16SPTI0.833332.2e-16PWJADI0.763532.2e-16
Language: English
Page range: 1588584 - 1588584
Published on: Jan 1, 2019
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2019 Zulfiqar Ali, Ijaz Hussain, Muhammad Faisal, Ibrahim M. Almanjahie, Ishfaq Ahmad, Dost Muhammad Khan, Marco Grzegorczyk, Saida Qamar, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.