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Spatial mapping of drought in Zambia using regional frequency analysis

Peter Kasolota Kaluba UGent, Koen Verbist, Wim Cornelis UGent and Eric Van Ranst UGent (2017) HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES. 62(11). p.1825-1839
abstract
Regional frequency analysis based on L-moments was applied to assess the spatial extent of meteorological droughts in tandem with their return periods in Zambia. Weather station monthly rainfall data were screened to form homogeneous sub-regions-, validated by a homogeneity criterion and fitted by a generalized extreme value distribution using goodness-of-fit test statistics. Predictor equations at regional scale for L-moment ratios and mean annual precipitation were developed to generate spatial maps of meteorological drought recurrences. The 80% of normal rainfall level and two thresholds of 60% and 70% were synonymous with moderate and severe droughts, respectively. Droughts were more severe in the south than in the north of Zambia. The return periods for severe and moderate droughts showed an overlapping pattern in their occurrence at many locations, indicating that in certain years droughts can affect the entire country. The extreme south of Zambia is the most prone to drought.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
meteorological drought, L-moments, regional frequency analysis, return period, Zambia, L-MOMENT, RAINFALL, INDEX, FLOOD, DRY, PRECIPITATION, VARIABILITY, DIAGRAMS, EVENTS
journal title
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
Hydrol. Sci. J.-J. Sci. Hydrol.
volume
62
issue
11
pages
1825 - 1839
Web of Science type
Article
Web of Science id
000407513700009
ISSN
0262-6667
2150-3435
DOI
10.1080/02626667.2017.1343475
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
8528281
handle
http://hdl.handle.net/1854/LU-8528281
date created
2017-08-07 07:17:25
date last changed
2017-10-18 11:41:11
@article{8528281,
  abstract     = {Regional frequency analysis based on L-moments was applied to assess the spatial extent of meteorological droughts in tandem with their return periods in Zambia. Weather station monthly rainfall data were screened to form homogeneous sub-regions-, validated by a homogeneity criterion and fitted by a generalized extreme value distribution using goodness-of-fit test statistics. Predictor equations at regional scale for L-moment ratios and mean annual precipitation were developed to generate spatial maps of meteorological drought recurrences. The 80\% of normal rainfall level and two thresholds of 60\% and 70\% were synonymous with moderate and severe droughts, respectively. Droughts were more severe in the south than in the north of Zambia. The return periods for severe and moderate droughts showed an overlapping pattern in their occurrence at many locations, indicating that in certain years droughts can affect the entire country. The extreme south of Zambia is the most prone to drought.},
  author       = {Kaluba, Peter Kasolota and Verbist, Koen and Cornelis, Wim and Van Ranst, Eric},
  issn         = {0262-6667},
  journal      = {HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES},
  keyword      = {meteorological drought,L-moments,regional frequency analysis,return period,Zambia,L-MOMENT,RAINFALL,INDEX,FLOOD,DRY,PRECIPITATION,VARIABILITY,DIAGRAMS,EVENTS},
  language     = {eng},
  number       = {11},
  pages        = {1825--1839},
  title        = {Spatial mapping of drought in Zambia using regional frequency analysis},
  url          = {http://dx.doi.org/10.1080/02626667.2017.1343475},
  volume       = {62},
  year         = {2017},
}

Chicago
Kaluba, Peter Kasolota, Koen Verbist, Wim Cornelis, and Eric Van Ranst. 2017. “Spatial Mapping of Drought in Zambia Using Regional Frequency Analysis.” Hydrological Sciences Journal-journal Des Sciences Hydrologiques 62 (11): 1825–1839.
APA
Kaluba, P. K., Verbist, K., Cornelis, W., & Van Ranst, E. (2017). Spatial mapping of drought in Zambia using regional frequency analysis. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 62(11), 1825–1839.
Vancouver
1.
Kaluba PK, Verbist K, Cornelis W, Van Ranst E. Spatial mapping of drought in Zambia using regional frequency analysis. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES. 2017;62(11):1825–39.
MLA
Kaluba, Peter Kasolota, Koen Verbist, Wim Cornelis, et al. “Spatial Mapping of Drought in Zambia Using Regional Frequency Analysis.” HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES 62.11 (2017): 1825–1839. Print.