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Iso-erodent map of Zambia: Part I: The calculation of erosivity indices from a rainfall data bank
Institution:1. University of Palermo, Department of Agricultural and Forestry Sciences, Viale delle Scienze, 90128 Palermo, Italy;2. Soil Erosion and Degradation Research Group, Department of Geography, University of Valencia, Valencia, Spain;3. University of Cordoba, Department of Rural Engineering, Apdo. 3048, Córdoba, Spain;1. State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;2. USDA-ARS National Soil Erosion Research Laboratory, Purdue University, 275 S. Russell St, West Lafayette, IN 47907-2077, USA;3. Australian Rivers Institute, School of Engineering and Built Environment, Griffith University, Nathan, Qld 4111, Australia;1. Department of Soil Science, Ramin Agriculture and Natural Resources university of Khuzestan, Ahvaz, Iran;2. Department of Soil Science, Isfahan University of Technology, Isfahan, Iran;3. Department of Agricultural Machine and Mechanization Engineering, Ramin Agriculture and Natural Resources university of Khuzestan, Ahvaz, Iran;1. Met European Research Observatory, 82100 Benevento, Italy;2. Departamento de Ecosistemas y Medio Ambiente, Pontificia Universidad Católica de Chile, 6904411 Santiago, Chile;3. Department of Environmental Sciences, University of Basel, Switzerland;4. European Commission, Joint Research Centre (JRC), Ispra, Italy;5. Department of Science and Technology, University of Sannio, 82100 Benevento, Italy;6. UCA, INRA, VetAgro Sup, UMR Ecosystème Prairial, 63000 Clermont-Ferrand, France
Abstract:The first stage in the establishment of an iso-erodent map of Zambia is the development of a Zambian rainfall data bank, the calculation and discussion of three erosivity indices and correlating the erosivity indices with rainfall amount.The data bank is made up of 10 years of data from eight different meteorological stations representing the different rainfall zones in Zambia. The data bank includes
  • 1.1. total rainfall amounts split into component rainfall amounts with constant intensity
  • 2.2. kinetic energy calculations
  • 3.3. the erosivity indices.
Three erosivity indices have been calculated: E130 (WISCHMEIER 1959), KE (KINNELL 1981) and ΣNpIp (LAL 1976). Daily amount of rainfall explained 96, 95, and 89% of the variation in those indices respectively.Although the three indices are of comparable value, advantages and disadvantages of each of them are discussed.This work will be the basis for modelling the monthly erosivity and finally for making the iso-erodent map of Zambia (see part II, this volume).
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