Analysis of the Spatio-Temporal Variability of Precipitation and Drought Intensity in an Arid Catchment in South Africa

被引:10
|
作者
Mengistu, Achamyeleh G. [1 ]
Tesfuhuney, Weldemichael A. [1 ]
Woyessa, Yali E. [2 ]
van Rensburg, Leon D. [3 ]
机构
[1] Univ Free State, Dept Soil Crop & Climate Sci, ZA-9300 Bloemfontein, South Africa
[2] Cent Univ Technol, Dept Civil Engn, ZA-9300 Bloemfontein, South Africa
[3] Vans Lab Soil Plant & Water Anal, ZA-9338 Bloemfontein, South Africa
关键词
arid catchments; drought intensity; precipitation deficit; South Africa; spatio-temporal variation; trend analysis; RAINFALL VARIABILITY; CLIMATE-CHANGE; WATER-BALANCE; TRENDS; MODEL; TOPOGRAPHY; REGION; SERIES; WET; DRY;
D O I
10.3390/cli8060070
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Water deficit is high and precipitation varies spatio-temporally in arid areas. This study was conducted to analyse the spatio-temporal variability of precipitation and drought intensity in an arid catchment in South Africa. The Soil and Water Assessment Tool (SWAT) was used to estimate the spatio-temporal precipitation where nine meteorological stations were used as input to the model. The model was calibrated and validated by regionalization with a physical similarity approach. SWAT only predicts precipitation at sub-basin level. Hence, the mean precipitation was further interpolated by using the inverse distance weighted method (IDW). The Mann-Kendall trend test shows that there was no trend in annual precipitation whereas in the monthly precipitation there was a 0.01 mm decrease. Daily precipitation varied from 0.1 to 4 mm whereas in a monthly basis, it varied from 6 mm (September) to 43.4 mm (February). The annual precipitation varied from 169 mm (1983) to 415 mm (2003) with a long-term mean of 280.8 mm. Precipitation is also highly variable in space throughout the catchment. Generally, annual precipitation decreased from north to south; however, during the winter season, the reverse was true due to the influence of rain-bearing condition from the south-western direction. Based on the aridity index (AI), the catchment is categorized as arid. The SPI shows that the 1983 drought was the worst whereas the 2003 and 2004 years were relatively wet. The results from this study provide baseline information for further research in climate change adaptation and environmental monitoring programs in the region.
引用
收藏
页数:23
相关论文
共 50 条
  • [31] Spatio-temporal analysis of present and future precipitation responses over South Germany
    Paparrizos, Spyridon
    Schindler, Dirk
    Potouridis, Simeon
    Matzarakis, Andreas
    JOURNAL OF WATER AND CLIMATE CHANGE, 2018, 9 (03) : 490 - 499
  • [32] Spatio-temporal variability of winter temperature and precipitation in Southwest China
    Xingwen Jiang
    Yueqing Li
    Journal of Geographical Sciences, 2011, 21 : 250 - 262
  • [33] Spatio-temporal variability of winter temperature and precipitation in Southwest China
    Jiang Xingwen
    Li Yueqing
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2011, 21 (02) : 250 - 262
  • [34] Spatio-temporal variability of anions in wet precipitation of Cuiaba, Brazil
    de Moraes Dias, Vanessa Rakel
    Sanches, Luciana
    Alves, Marcelo de Carvalho
    Nogueira, Jose de Souza
    ATMOSPHERIC RESEARCH, 2012, 107 : 9 - 19
  • [35] Spatio-temporal analysis of meteorological drought return periods in a Mediterranean arid region, the center of Morocco
    Abdessamad, Hadri
    Ndiaye, Assane Salame
    Khadir, Lahcen
    Jaffar, Oumar
    Zamzami, Hamza Ait
    Mahdi El Khalki, El
    Amazirh, Abdelhakim
    Bouchaou, Lhoussaine
    Chehbouni, Abdelghani
    JOURNAL OF WATER AND CLIMATE CHANGE, 2024, 15 (09) : 4573 - 4595
  • [36] Spatio-Temporal Analysis of Droughts in Semi-Arid Regions by Using Meteorological Drought Indices
    Shahabfar, Alireza
    Eitzinger, Josef
    ATMOSPHERE, 2013, 4 (02) : 94 - 112
  • [37] Copula based drought frequency analysis considering the spatio-temporal variability in Southwest China
    Xu, Kai
    Yang, Dawen
    Xu, Xiangyu
    Lei, Huimin
    JOURNAL OF HYDROLOGY, 2015, 527 : 630 - 640
  • [38] Spatio-Temporal Analysis of Drought Variability Using CWSI in the Koshi River Basin (KRB)
    Wu, Han
    Xiong, Donghong
    Liu, Bintao
    Zhang, Su
    Yuan, Yong
    Fang, Yiping
    Chidi, Chhabi Lal
    Dahal, Nirmal Mani
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (17)
  • [39] Spatio-Temporal Analysis of Drought Variability in Myanmar Based on the Standardized Precipitation Evapotranspiration Index (SPEI) and Its Impact on Crop Production
    Sein, Zin Mie Mie
    Zhi, Xiefei
    Ogou, Faustin Katchele
    Nooni, Isaac Kwesi
    Sian, Kenny T. C. Lim Kam
    Gnitou, Gnim Tchalim
    AGRONOMY-BASEL, 2021, 11 (09):
  • [40] Spatio-temporal analysis of groundwater level in an arid area
    Alipour A.
    Hashemi S.
    Shokri S.B.S.
    Moravej M.
    International Journal of Water, 2018, 12 (01) : 66 - 81