Validation of local knowledge drought forecasting systems in the Limpopo River Basin in Southern Africa. Issue 5 (28th October 2014)

• Record Type: Journal Article
• Authors: Chisadza, Bright; J. Tumbare, Michael; R. Nyabeze, Washington; Nhapi, Innocent
• Is Part Of: Disaster prevention and management. Volume 23:Issue 5(2014)
• Page Start: 551
• Page End: 566
• Publication Date: 2014-10-28
• Subjects: Disasters -- Drought forecasting -- Zimbabwe -- Limpopo River Basin -- Local traditional knowledge -- Local knowledge drought forecasts; Emergency management -- Periodicals; Disaster relief -- Periodicals; 363.3405
• DOI: 10.1108/DPM-02-2014-0032
• Languages: English
• ISSNs: 0965-3562

Abstract

Abstract : Purpose: – This research paper is informed by a study to assess performance of local knowledge drought forecasts (LKDFs) in the Mzingwane catchment which is located in the Limpopo River Basin in Zimbabwe. The purpose of this paper is to validate local traditional knowledge (LTK) indicators being applied in Mzingwane catchment and verify their accuracy and reliability in drought forecasting and early warning. Design/methodology/approach: – LTK forecast data for 2012/2013 season were collected through structured questionnaires administered to 40 selected household heads and focus group discussions. Observations and key informant interviews with chiefs and the elderly (>55 years) were also used to collect additional LTK forecast data. Meteorological data on seasonal rainfall were collected from the meteorological Services Department of Zimbabwe (MSD). Two sets of comparisons were conducted namely the hind-cast comparison where the LKDF system results were evaluated against what the season turned out to be and forecast comparison where local LKDF system results were compared with downscaled meteorological forecasts. Findings: – The results showed that the majority of the LTK indicators used were accurate in forecasting weather and drought conditions when compared to the observed data of what the season turned out to be. LTK forecasts were found to be more accurate than meteorological forecast at local scale. This study has shown that the reliability of LTKs is high as demonstrated by the fact that the predicted event occurs. Research limitations/implications: – Further validation be carried out for a number of seasons, in order to standardise the LTK indicators per geographical area. Originality/value: – The research creates platform for adoption of LTKs into formal forecasting systems. The research is useful to both meteorological researchers and resource constrained communities in Mzingwane catchment.