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[{"authors":null,"categories":null,"content":"Welcome to my website! Here you will find information on my work, which mostly resolves around groundwater and the development of methods to try and improve our understanding of this important resource. I am passionate about Open Science, Software, and Data, and try to make my work reproducible and enable others to use the methods developed. In my free time you can find me kayaking down a river or hiking up a mountain.\n","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"2525497d367e79493fd32b198b28f040","permalink":"/author/raoul-collenteur/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/raoul-collenteur/","section":"authors","summary":"Welcome to my website! Here you will find information on my work, which mostly resolves around groundwater and the development of methods to try and improve our understanding of this important resource.","tags":null,"title":"Raoul Collenteur","type":"authors"},{"authors":[],"categories":[],"content":"","date":1606564486,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1606564486,"objectID":"cd6e9cc72b401e25f90934910c484e2b","permalink":"/post/collect_gwls/","publishdate":"2020-11-28T12:54:46+01:00","relpermalink":"/post/collect_gwls/","section":"post","summary":"Collecting groundwater levels from around Europe can be challenging. In this post a summary of the different resources to obtain groundwater level data in Europe is listed, I also distinguish between open data and closed data.","tags":[],"title":"Collecting Groundwater Levels in Europe","type":"post"},{"authors":[],"categories":[],"content":"","date":1606563201,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1606563201,"objectID":"1dda7b139e59ba7167c6bc64fd571f2b","permalink":"/project/python/","publishdate":"2020-11-28T12:33:21+01:00","relpermalink":"/project/python/","section":"project","summary":"This repository holds a list of open source Python packages interesting to Hydrologists","tags":[],"title":"Python Hydro","type":"project"},{"authors":[],"categories":[],"content":"","date":1606562475,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1606562475,"objectID":"9502b8dad9974a41befc86f2a122ae59","permalink":"/project/phydrus/","publishdate":"2020-11-28T12:21:15+01:00","relpermalink":"/project/phydrus/","section":"project","summary":"Python implementation of the HYDRUS-1D unsaturated zone model","tags":[],"title":"Phydrus","type":"project"},{"authors":[],"categories":[],"content":"","date":1606562460,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1606562460,"objectID":"3918db29d689e1abbc43e748359ab066","permalink":"/project/pastas/","publishdate":"2020-11-28T12:21:00+01:00","relpermalink":"/project/pastas/","section":"project","summary":"Pastas is an open-source Python framework for the analysis of hydrological time series.","tags":["Time Series Analysis","Groundwater"],"title":"Pastas","type":"project"},{"authors":["R. Collenteur","M. Bakker","G. Klammler","S. Birk"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1606562039,"objectID":"5094dc4ab6f4f7e3dca7ff3cafdd5338","permalink":"/publication/collenteur-estimating-2020/","publishdate":"2020-11-28T11:13:59.705237Z","relpermalink":"/publication/collenteur-estimating-2020/","section":"publication","summary":"","tags":[],"title":"Estimating groundwater recharge from groundwater levels using non-linear transfer function noise models and comparison to lysimeter data","type":"publication"},{"authors":["Raoul A. Collenteur","Mark Bakker","Ruben Caljé","Stijn A. Klop","Frans Schaars"],"categories":[],"content":"","date":1572566400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1606562040,"objectID":"f41d59475264de510194f056ee50e6a3","permalink":"/publication/collenteur-pastas-2019/","publishdate":"2020-11-28T11:13:59.96527Z","relpermalink":"/publication/collenteur-pastas-2019/","section":"publication","summary":"Abstract Time series analysis is an increasingly popular method to analyze heads measured in an observation well. Common applications include the quantification of the effect of different stresses (rainfall, pumping, etc.), and the detection of trends and outliers. Pastas is a new and open source Python package for the analysis of hydrogeological time series. The objective of Pastas is twofold: to provide a scientific framework to develop and test new methods, and to provide a reliable ready-to-use software tool for groundwater practitioners. Transfer function noise modeling is applied using predefined response functions. For example, the head response to rainfall is simulated through the convolution of measured rainfall with a Gamma response function. Pastas models are created and analyzed through scripts, ensuring reproducibility and providing a transparent report of the entire modeling process. A Pastas model can be constructed in seven simple steps: import Pastas, read the time series, create a model, specify the stresses and the types of response functions, estimate the model parameters, visualize output, and analyze the results. These seven steps, including the corresponding Python code, are applied to investigate how rainfall and reference evaporation can explain measured heads in an observation well in Kingstown, Rhode Island, USA. The second example demonstrates the use of scripts to analyze a large number of observation wells in batch to estimate the extent of the drawdown caused by a well field in the Netherlands. Pastas is free and open source software available under the MIT-license at http://github.com/pastas/pastas.","tags":[],"title":"Pastas: Open Source Software for the Analysis of Groundwater Time Series","type":"publication"},{"authors":["R. A. Collenteur","H. de Moel","B. Jongman","G. Di Baldassarre"],"categories":[],"content":"","date":1425168000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1606562040,"objectID":"a3d342a4c7abdcdc63475d014f17a034","permalink":"/publication/collenteur-failed-levee-2015/","publishdate":"2020-11-28T11:14:00.219866Z","relpermalink":"/publication/collenteur-failed-levee-2015/","section":"publication","summary":"Human societies have learnt to cope with flood risks in several ways, the most prominent ways being engineering solutions and adaptive measures. However, from a more sustainable point of view, it can be argued that societies should avoid or at least minimize urban developments in floodplain areas. While many scientists have studied the impact of human activities on flood risk, only a few studies have investigated the opposite relationships, i.e. the impacts of past flood events on floodplain development. In this study, we make an initial attempt to understand the impact of the occurrence of flood disasters on the spatial distribution of population dynamics in floodplain areas. Two different methodologies are used to uncover this relationship, a large-scale study for the USA and a case-study analysis of the 1993 Mississippi flood. The large-scale analysis is performed at county level scale for the whole of the USA and indicates a positive relationship between property damage due to flood events and population growth. The case-study analysis examines a reach of the Mississippi river and the territory, which was affected by flooding in 1993. Contrary to the large-scale analysis, no significant relationship is found in this detailed study. However, a trend of dampened population growth right after the flood followed by an accelerated growth a decade later could be identified in the raw data and linked to explanations found in the literature.","tags":[],"title":"The failed-levee effect: Do societies learn from flood disasters?","type":"publication"}]