The Philippines is a country located in the typhoon belt of the Pacific. Its location makes it typhoon prone and on average around 20 typhoons enter the country every year (Asian Disaster Reduction Center, 2008). This natural phenomenon can have disastrous effects and therefore, good preparedness is of special importance. Traditionally weather forecasts have been used in order to predict the physical characteristics of typhoons to organise early actions that can dampen their damage. However, regardless the good meteorological forecasts, typhoons kept having large effects in coastal areas, due to the gap of knowledge between a hazard and its impact. For this reason, nowadays disaster managers are increasingly more interested in the knowing the repercussion of natural hazards, which can help to prepare and mitigate their consequences (Tozier de la Poterie et al., 2018).
Although forecasts that predict the impact of hazards, the so-called impact-based forecasts, are rising, there are not many of these systems operationalised yet. To make these forecasts more functional it is essential to understand what their users’ needs are. Because disaster managers work under stressful conditions, it is crucial to have the right information in order to take effective actions. This research has developed an impact-based forecasting prototype for Manila Bay, Philippines, considering the information needs of disaster managers. In order to do so, an iterative process has been followed in the creation of the system, in which disaster managers provided their inputs and feedbacks on the prototype. The impacts on the assets of relevance for the disaster managers have been forecasted with the use of Delft-FEWS and Delft-FIAT. Furthermore, this forecasting system has been novel in predicting the impact of typhoons considering not only the hazard and exposure but also implementing the vulnerabilities of the affected area. The findings of this study suggest that an impact-based forecasting system for Manila Bay should provide information on the affected population, livelihoods, hospitals, roads and schools. Those assets have been pointed out as most important for disaster managers at local scale. The output of the forecasting system should provide actionable results that allow disaster managers to make quick and relevant decisions. Furthermore, the data displayed in the system should be simple, clear and with colour codes that allow for a fast interpretation of the results and provide maps with information of the impacts on all the assets per municipality or province. Besides, it has been observed that vulnerability plays an important role when prioritising the action areas of disaster managers. The aim of this research was to develop an impact-based forecasting system that considers the information and display needs of disaster managers, while integrating the vulnerabilities of the affected area. Therefore, the objective of this thesis was not to develop an accurate mathematical model that provides the exact impact. Instead, it is a guide of what a disaster managers-based forecast should provide. Hence, in order to make this forecasting system operational, validation of the prototype and consideration of other hazards, such as wind speeds, are recommended.

In Bangladesh, groundwater from shallow aquifers is used for communal drinking water supply on a large scale. This water is often polluted by naturally occurring arsenic, causing the largest scale poisoning through drinking water in the world (D. v. Halem, S. Bakker, G. Amy, & J. Van Dijk, 2009). In this report, a highly arsenic affected area in Bangladesh has been investigated. The main objective of this research is to obtain more insight in the three aspects of the DELTAP project: geology, water quality monitoring and safe water supply. It is aimed to analyse the relation between arsenic contamination and the local geology, to monitor the drinking water quality using mobile applications and to design and construct a water treatment unit. An important aspect of this research is to develop a monitoring and maintenance protocol in order to ensure safe water supply in the future. In the study area, 150 households have been selected and the water quality has been tested. The water quality has been assessed by measuring four chemical parameters and five physical parameters, using simple strip tests and mobile water quality applications. The results of the strip tests have been compared to the results of ICP-MS analysis in order to check the performance of the tests and the mobile apps. The arsenic and iron strip tests showed good performance. However, the manganese and mmonium strip tests did not perform well. Furthermore, no relations between the presence of arsenic and other chemicals have been found. It can be concluded that simple strip tests in combination with mobile applications are a promising tool for water quality monitoring, applying the Mobile Crowd Participation strategy. Since arsenic in groundwater has a geological origin, the relation between arsenic concentration in the groundwater and geology should be understood distinctly. In order to get a better understanding of this relationship, multiple tools and theories have been investigated and tested. Firstly, a geo information system has been used to map arsenic concentrations that have been obtained from the performed water quality tests. Based on the spatial analysis of the arsenic concentrations, three drillings have been performed: one drilling in a high, medium and low arsenic contaminated area. By use of the SASMIT tool, a link between sediment colour and arsenic contamination has been observed. Furthermore, geomorphological data and satellite images have been used to identify geological features in landscape which could also be linked to arsenic levels. The sediment colour found in drillings is in good accordance with the arsenic levels found in groundwater and thus, proves to be a useful tool to predict arsenic concentrations in the fieldwork area. However, the geological features in the research area are hard to identify and link to the measured arsenic concentrations. A water treatment unit has been designed and constructed in order to provide safe water to 5 to 10 households. Based on the iron and arsenic concentrations from the ICP-MS results and on practical considerations, a suitable location for the water treatment unit has been selected. The ratio of these parameters is important to remove arsenic from the groundwater efficiently. The water treatment unit is based on oxidation of arsenic along with iron and subsequent filtration with a rapid sand filter. Both chemical and biotic oxidation of arsenic and iron are ensured by setting up a biofilm carrier column before the rapid sand and anthracite filter unit. Finally, a parallel resin column has been installed to remove the residual arsenic. The water quality throughout the system varied substantially during the timeline of the project. The produced safe water at the end of the fieldwork did not meet the drinking water standards set by the WHO. Nevertheless, several recommendations have been provided and, in the future, more intensive backwash of the water treatment unit might be the key to produce and distribute safe water. Overall, a deeper knowledge on arsenic contamination and their effects have been achieved, and the improvement of the Bangladeshis live quality has been attempted.