Spatial and Temporal Analysis of Drought in Pakistan
DOI:
https://doi.org/10.58260/j.mas.2305.0110Keywords:
Standardized Precipitation Index (SPI), Spatial Analysis, Statistics, Climate Change, DroughtAbstract
In the recent years climate change is the hot topic of research. Climate change can have severe effect on the environment. In this study, the impact of drought in different districts of Punjab, Pakistan was studied using Standardized Precipitation Index (SPI) and Standardized Anomaly Index (SAI). The SPI is applied on the rain data and the SAI was applied on the temperature data. The data was collected from Pakistan Metrological Department. At first, we fit the data on Length Biased Exponential Distribution and then we applied Standardized Precipitation Index on the rain data received from Pakistan Meteorological Department from 1993 to 2022. We also computed SPI using 3-month, 6-month, and 12-month moving average of the original data. We conducted spatial and temporal analysis using SPI and for the visual representation we also plot maps of the past five years for better understanding of the drought. We used temperature to better explain the drought impact in Pakistan. After applying SAI, we find out that temperate of the data is above average which means there is drought impact in different districts of Pakistan. The results show the clear drought pattern in different districts of Pakistan. We ignore the 0 and negative values of rain data before fitting the Length Biased Exponential Distribution as it is undefined for these values and then we compute the results. The graphs show that after taking moving average the drought patterns decrease in districts and also few years does not show any drought pattern.
References
An, Q., He, H., Nie, Q., Cui, Y., Gao, J., Wei, C., Xie, X., & You, J. (2020). Spatial and temporal variations of drought in Inner Mongolia, China. Water, 12(6), 1715.
Bai, Y., Wu, J., Xing, Q., Pan, Q., Huang, J., Yang, D., & Han, X. (2008). Primary production and rain use efficiency across a precipitation gradient on the Mongolia plateau. Ecology, 89(8), 2140–2153.
Baniya, B., Tang, Q., Xu, X., Haile, G. G., & Chhipi-Shrestha, G. (2019). Spatial and temporal variation of drought based on satellite derived vegetation condition index in Nepal from 1982--2015. Sensors, 19(2), 430.
Bordi, I., Fraedrich, K., Gerstengarbe, F.-W., Werner, P. C., & Sutera, A. (2004). Potential predictability of dry and wet periods: Sicily and Elbe-Basin (Germany). Theoretical and Applied Climatology, 77(3), 125–138.
Bordi, I., Fraedrich, K., Jiang, J.-M., & Sutera, A. (2004). Spatio-temporal variability of dry and wet periods in eastern China. Theoretical and Applied Climatology, 79(1), 81–91.
Cindrić, K., Pasarić, Z., & Gajić-Čapka, M. (2010). Spatial and temporal analysis of dry spells in Croatia. Theoretical and Applied Climatology, 102(1), 171–184.
Dara, S. T., & Aḥmad, M. (2012). Recent advances in moment distribution and their hazard rates. Lap Lambert Academic Publishing.
Di Lena, B., Vergni, L., Antenucci, F., Todisco, F., & Mannocchi, F. (2014). Analysis of drought in the region of Abruzzo (Central Italy) by the Standardized Precipitation Index. Theoretical and Applied Climatology, 115(1), 41–52.
Gong, D.-Y., Wang, J.-A., & Han, H. (2005). Trends of summer dry spells in China during the late twentieth century. Meteorology and Atmospheric Physics, 88(3), 203–214.
Guo, H., Bao, A., Liu, T., Ndayisaba, F., Jiang, L., Kurban, A., De Maeyer, P., & others. (2018). Spatial and temporal characteristics of droughts in Central Asia during 1966--2015. Science of the Total Environment, 624, 1523–1538.
Huang, J., Sun, S., Xue, Y., Li, J., & Zhang, J. (2014). Spatial and temporal variability of precipitation and dryness/wetness during 1961--2008 in Sichuan province, west China. Water Resources Management, 28(6), 1655–1670.
Huang, J., Xue, Y., Sun, S., & Zhang, J. (2014). Spatial and temporal variability of drought during 1960e2012 in Inner Mongolia, north China. Quaternary International, 30(1), e11.
Huijun, W. (2001). The weakening of the Asian monsoon circulation after the end of 1970’s. Advances in Atmospheric Sciences, 18(3), 376–386.
Khan, A. A., Zhao, Y., Rahman, G., Rafiq, M., Moazzam, M. F. U., & others. (2021). Spatial and temporal analysis of rainfall and drought condition in Southwest Xinjiang in Northwest China, using various climate indices. Earth Systems and Environment, 5(2), 201–216.
Ling, M., Guo, X., Shi, X., & Han, H. (2022). Temporal and spatial evolution of drought in Haihe River Basin from 1960 to 2020. Ecological Indicators, 138, 108809.
Liu, F., Chen, S., Dong, P., & Peng, J. (2012). Spatial and temporal variability of water discharge in the Yellow River Basin over the past 60 years. Journal of Geographical Sciences, 22(6), 1013–1033.
Mathbout, S., Lopez-Bustins, J. A., Martin-Vide, J., Bech, J., & Rodrigo, F. S. (2018). Spatial and temporal analysis of drought variability at several time scales in Syria during 1961--2012. Atmospheric Research, 200, 153–168.
McKee, T. B., Doesken, N. J., Kleist, J., & others. (1993). The relationship of drought frequency and duration to time scales. Proceedings of the 8th Conference on Applied Climatology, 17(22), 179–183.
Mekonen, A. A., Berlie, A. B., & Ferede, M. B. (2020). Spatial and temporal drought incidence analysis in the northeastern highlands of Ethiopia. Geoenvironmental Disasters, 7(1), 1–17.
Rahman, G., Dawood, M., & others. (2018). Spatial and temporal variation of rainfall and drought in Khyber Pakhtunkhwa Province of Pakistan during 1971--2015. Arabian Journal of Geosciences, 11(3), 1–13.
Raziei, T., Saghafian, B., Paulo, A. A., Pereira, L. S., & Bordi, I. (2009). Spatial patterns and temporal variability of drought in western Iran. Water Resources Management, 23(3), 439–455.
Santos, J. F., Pulido-Calvo, I., & Portela, M. M. (2010). Spatial and temporal variability of droughts in Portugal. Water Resources Research, 46(3).
Sivrikaya, F., Baskent, E. Z., & Bozali, N. (2013). Spatial dynamics of carbon storage: a case study from Turkey. Environmental Monitoring and Assessment, 185(11), 9403–9412.
Tao, J., Qiao, W., Li, H., Qu, X., & Gan, R. (2022). Spatial and temporal evolution characteristics and causes of drought and flood in the Henan section of the Yellow River. Natural Hazards, 1–20.
Telesca, L., Vicente-Serrano, S. M., & López-Moreno, J. I. (2013). Power spectral characteristics of drought indices in the Ebro river basin at different temporal scales. Stochastic Environmental Research and Risk Assessment, 27(5), 1155–1170.
Qiang Zhang Chong-Yu XuChong-Yu Xu Yongqin David ChenYongqin David Chen Liliang Ren (2011). Comparison of evapotranspiration variations between the Yellow River and Pearl River basin, China. Stochastic Environmental Research 25(2):139-150.
Guangju Zhao, Xingmin Mu, Georg Hörmann, Nicola Fohrer, Ming Xiong, Buda Su, Xiucang Li (2012). Spatial patterns and temporal variability of dryness/wetness in the Yangtze River Basin, China. Quaternary International (282):5-13.
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