2 resultados para Hanang


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This project addresses the potential impacts of changing climate on dry-season water storage and discharge from a small, mountain catchment in Tanzania. Villagers and water managers around the catchment have experienced worsening water scarcity and attribute it to increasing population and demand, but very little has been done to understand the physical characteristics and hydrological behavior of the spring catchment. The physical nature of the aquifer was characterized and water balance models were calibrated to discharge observations so as to be able to explore relative changes in aquifer storage resulting from climate changes. To characterize the shallow aquifer supplying water to the Jandu spring, water quality and geochemistry data were analyzed, discharge recession analysis was performed, and two water balance models were developed and tested. Jandu geochemistry suggests a shallow, meteorically-recharged aquifer system with short circulation times. Baseflow recession analysis showed that the catchment behavior could be represented by a linear storage model with an average recession constant of 0.151/month from 2004-2010. Two modified Thornthwaite-Mather Water Balance (TMWB) models were calibrated using historic rainfall and discharge data and shown to reproduce dry-season flows with Nash-Sutcliffe efficiencies between 0.86 and 0.91. The modified TMWB models were then used to examine the impacts of nineteen, perturbed climate scenarios to test the potential impacts of regional climate change on catchment storage during the dry season. Forcing the models with realistic scenarios for average monthly temperature, annual precipitation, and seasonal rainfall distribution demonstrated that even small climate changes might adversely impact aquifer storage conditions at the onset of the dry season. The scale of the change was dependent on the direction (increasing vs. decreasing) and magnitude of climate change (temperature and precipitation). This study demonstrates that small, mountain aquifer characterization is possible using simple water quality parameters, recession analysis can be integrated into modeling aquifer storage parameters, and water balance models can accurately reproduce dry-season discharges and might be useful tools to assess climate change impacts. However, uncertainty in current climate projections and lack of data for testing the predictive capabilities of the model beyond the present data set, make the forecasts of changes in discharge also uncertain. The hydrologic tools used herein offer promise for future research in understanding small, shallow, mountainous aquifers and could potentially be developed and used by water resource professionals to assess climatic influences on local hydrologic systems.

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In the village'of Citing in the northern highlands of Tanzania, the factors: social stratification, land tenure, production strategies, investment patterns and the economic uncertainties of society are studied and their relationship to land degradation is examined. The main assumption of the study is that the causes of land degradation are so complex that a methodology that emphasises contextualisation has to be used. A methodological framework that considers inter-linkages between all these factors is developed and tested. The result of the test shows that contextualisation gives a more in-depth and complex explanation than conventional, positivist research. The study gives a detailed account of the relationship that various wealth groups have to land and land degradation in the village. It is found that all wealth groups are destructive to the land but in varying ways. The rich farmers are over-cultivating land marginal to agriculture, the middle peasants have too many cattle in the village while the poor peasants are so marginalised socially that they hardly influence land management. Those identified as having economic as well as social incentives to maintain soil fertility are the middle peasants, while the rich farmers are shown to be consciously soil-mining the former grazing areas.