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  • A new flood type classification method for use in climate change impact studies

    • Authors: Turkington, T.A.R.;  Advisor: -;  Participants: - (2016)

  • Flood type classification is an optimal tool to cluster floods with similar meteorological triggering conditions. Under climate change these flood types may change differently as well as new flood types develop. This paper presents a new methodology to classify flood types, particularly for use in climate change impact studies. A weather generator is coupled with a conceptual rainfall-runoff model to create long synthetic records of discharge to efficiently build an inventory with high number of flood events. Significant discharge days are classified into causal types using k-means clustering of temperature and precipitation indicators capturing differences in rainfall amount, antecedent rainfall and snow-cover and day of year. From climate projections of bias-corrected temperature ...
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  • Comparison of three modelling approaches to simulate regional crop yield :a case study of winter wheat yield in western Germany

    • Authors: Soltani, A.;  Advisor: -;  Participants: - (2016)

  • The need for more comparisons among models is widely recognized. This study aimed to compare three different modelling approaches for their capability to simulate and predict trends and patterns of winter wheat yield in Western Germany. The three modelling approaches included an empirical model, a process-based model (LINTUL2), and a metamodel derived from the process-based model. The models outcomes were aggregated to general climate zones level of Western Germany to allow for a comparison with agricultural census data for validation purposes. The spatial patterns and temporal trends of winter wheat yield seemed to be better represented by the empirical model (R2= 70%, RMSE= 0.48 t ha-1 yr-1, and CV-RMSE= 8%) than by the LINTUL2 model (R2= 65%, RMSE= 0.67 t ha-1 yr-1, and CV-RMSE=1...
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  • Sixty percent of small coffee farms have suitable socio-economic and environmental locations in Rwanda

    • Authors: Mukashema, Adrie;  Advisor: -;  Participants: - (2016)

  • Evaluating crop suitability is usually based on traditional land approaches in many countries, using only agro-ecological zoning and soil data. However, land use is also controlled by socio-economic and other biophysical factors. It is actually unknown how coffee suitability is influenced by such socio-economic and biophysical factors. Therefore, here, we studied all known factors that influence coffee production in Rwanda using an inventory of small holder coffee fields, including at least 200 coffee trees. We identified 29 potential factors, including demography, and environmental factors such as climate, soil and topography. These factors were reduced to 17 variables explaining 86 % of the total dataset variability, by factor analysis. The dataset was subsequently stratified into...
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