Theme: RAINFALL AND LAND DEGRADATION IN GUINEA-BISSAU. IMPACTS ON CLIMATE CHANGES. Superior Technical in Meteorological Instruments- Luís Cá E-mail: email@example.com - General Direction of Meteorology - July/2010. PRESENTATION PLAN. I. ABSTRACT II. INTRODUCTION III. LAND DEGRATATION
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Theme: RAINFALL AND LAND DEGRADATION IN GUINEA-BISSAU
IMPACTS ON CLIMATE CHANGES
Superior Technical in Meteorological Instruments- Luís Cá
E-mail: firstname.lastname@example.org - General Direction of Meteorology - July/2010
III. LAND DEGRATATION
IV. RAINFALL ANALYSIS FOR LAND DEGRADATION ASSESSMENT
V. APPLICATION OF THE ANNUAL SCALE: FTRENDS AND PROBABILITIES
Among the components of land degradation are desertification, soil degradation and erosion. In any discussion of land degradation there are four spatial-temporal scalesthat should be distinguished: regional, watershed, field and point. At each scale, one may use different proxies for land degradation. In order to study land degradation at multiple scales it is also necessary to study rainfall at multiple scales. Rainfall can be analysed for land degradation at four different scales: from the “small” annual scale to the “large” minute scale. Besides scales one may also distinguish between average values and temporal and spatial variations. In this paper, one of more examples of rainfall data are presented for each scale and interpreted with respect to land degradation. At the annual scale, trend analysis and rainfall probabilities are important. The decadal(10 – days) scale is especially suitable for calculating the varying lengths of the growing season. At the scale of one day, the size classes of showers, return period(design storm), hydrological and agronomic modelling and dry spell analysis are discussed.
INTENTTION OF LOWER
THANKS FOR ATTENTION