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ISOE-Forschungsteam begleitet „Reallabore“ in Baden-Württemberg +++ ISOE bei den Berliner Energietagen +++ Wasser für die Trockenzeit – Übergabe der Flutwassersammelanlage in Namibia +++ Zukunftsstadt – ISOE ist Partner des Wissenschaftsjahres 2015 +++ Weltwasserdekade endet – Probleme in der weltweiten Wasserversorgung bleiben +++ Capital4Health – Forschungsverbund für transdisziplinäre Gesundheitsforschung +++ Aus dem ISOE: Dr. Alexandra Lux ist neue Leiterin des Forschungsschwerpunkts „Transdisziplinäre Methoden und Konzepte“ +++ Termine +++ Publikationen
Beste! Neues in der Blogroll
(2015)
Hin und wieder muss einfach mal ordentlich entrümpelt und aufgeräumt werden. Das gilt für das Leben im Allgemeinen und hin und wieder eben auch für das Bretterblog. Heute war es mal wieder soweit. Hoch motiviert von den verwegenen Plänen des letzten Redaktionstreffens habe ich mich unter anderem an unsere Blogroll gewagt: Einmal durchgeklickt, Blogleichen weggeräumt und gestaunt, was für starke Blogs es doch so da draußen gibt, die man hin und wieder mal aus dem Auge verliert!...
The design of rainwater harvesting based gardens requires considering current climate but also climate change during the lifespan of the facility. The goal of this study is to present an approach for designing garden variants that can be safely supplied with harvested rainwater, taking into account climate change and adaptation measures. In addition, the study presents a methodology to quantify the effects of climate change on rainwater harvesting based gardening. Results of the study may not be accurate due to the assumptions made for climate projections and may need to be further refined. We used a tank flow model and an irrigation water model. Then we established three simple climate scenarios and analyzed the impact of climate change on harvested rain and horticulture production for a semi-arid region in northern Namibia. In the two climate scenarios with decreased precipitation and medium/high temperature increase; adaptation measures are required to avoid substantial decreases in horticulture production. The study found that the most promising adaptation measures to sustain yields and revenues are a more water efficient garden variant and an enlargement of the roof size. The proposed measures can partly or completely compensate the negative impacts of climate change.
Bayesian Networks are computer-based environmental models that are frequently used to support decision-making under uncertainty. Under data scarce conditions, Bayesian Networks can be developed, parameterized, and run based on expert knowledge only. However, the efficiency of expert-based Bayesian Network modeling is limited by the difficulty in deriving model inputs in the time available during expert workshops. This thesis therefore aimed at developing a simple and robust method for deriving conditional probability tables from expert estimates in a time-efficient way. The design and application of this new elicitation and conversion method is demonstrated using a case study in Xinjiang, Northwest China. The key characteristics of this method are its time-efficiency and the approach to use different conversion tables based on varying levels of confidence. Although the method has its limitations, e.g. it can only be applied for variables with one conditioning variable; it provides the opportunity to support the parameterization of Bayesian Networks which would otherwise remain half-finished due to time constraints. In addition, a case study in the Murray-Darling Basin, Australia, is used to compare Bayesian Network types and software to improve the presentation clarity of large Bayesian Networks. Both case studies aimed at gaining insights on how to improve the applicability of Bayesian Networks to support environmental management.