TY - CHAP A1 - Molkenthin, Frank T1 - Web-based Inf. Systems: Data Monitoring, Analysis and Re-porting for Measurements and Simulations Y1 - 2004 ER - TY - CHAP A1 - Busse, T. A1 - Simons, F. A1 - Mieth, S. A1 - Hinkelmann, R. A1 - Molkenthin, Frank ED - Hinkelmann, R. ED - Nasermoaddeli, M. H. ED - Liong, S. Y. ED - Savic, D. ED - Fröhle, P. ED - Daemrich, K. F. T1 - HMS: A generalised software design to enhance the modelling of geospatial referenced flow and transport phenomena T2 - Proceedings of 10th International Conference on Hydroinformatics, HIC 2012, understanding changing climate and environment and finding solutions, Hamburg, Germany, July 14 - 18, 2012 Y1 - 2012 SN - 978-3-941492-45-5 PB - TuTech Innovation CY - Hamburg ER - TY - CHAP A1 - Notay, Kunwar Vikramjeet A1 - Stadler, L. A1 - Simons, F. A1 - Molkenthin, Frank A1 - Hinkelmann, R. ED - Hinkelmann, R. ED - Nasermoaddeli, M. H. ED - Liong, S. Y. ED - Savic, D. ED - Fröhle, P. ED - Daemrich, K. F. T1 - Model Coupling in Hydroinformatics Systems through the Use of Autonomous Tensor Objects T2 - Proceedings of 10th International Conference on Hydroinformatics, HIC 2012, understanding changing climate and environment and finding solutions, Hamburg, Germany, July 14 - 18, 2012 Y1 - 2012 SN - 978-3-941492-45-5 PB - TuTech Innovation CY - Hamburg ER - TY - CHAP A1 - Li, Chi-Yu A1 - Notay, Kunwar Vikramjeet A1 - Molkenthin, Frank ED - Hinkelmann, R. ED - Nasermoaddeli, M. H. ED - Liong, S. Y. ED - Savic, D. ED - Fröhle, P. ED - Daemrich, K. F. T1 - Time Series Scenario Composition Framework In Hydroinformatics Systems T2 - Proceedings of 10th International Conference on Hydroinformatics, HIC 2012, understanding changing climate and environment and finding solutions, Hamburg, Germany, July 14 - 18, 2012 Y1 - 2012 SN - 978-3-941492-45-5 PB - TuTech Innovation CY - Hamburg ER - TY - CHAP A1 - Molkenthin, Frank A1 - Li, Chi-Yu A1 - Notay, Kunwar Vikramjeet ED - Gourbesville, Philippe ED - Cunge, Jean ED - Caignaert, Guy T1 - Information Handling in Interdisciplinary Hydro-Environment Engineering Projects T2 - Advances in Hydroinformatics: SIMHYDRO 2012 - New Frontiers of Simulation N2 - Information handling in water related interdisciplinary engineering projects is a demanding challenge due to the mass of data from field work, laboratory experiments and numerical simulation. This paper describes a general concept for information handling in an interdisciplinary research unit using a generalized information modelling approach for multi-scale physical state variables in combination with metadata and Web services based information systems following the INSPIRE initiative. The research unit deals with the coupling of flow and deformation processes for modelling the movement of natural slopes and integrates data and models from different disciplines such as hydrology, hydrodynamics, geo-hydraulics, geo-physics and soil mechanics. Key idea is a generalized information modelling concept for any kind of physical state variables on different spatial and time scales using tensor and set theory from mathematics as well as object-oriented information modelling techniques. Tensor objects are used for the full information handling process from field data acquisition and management via information analysis and model coupling to information archiving and storage. A hydroinformatics system so-called “Turtle” has been developed using standard IC-Technology such as XML schemes for tensor objects (TensorML) and ISO 19115 and 19119 for metadata and geo-portal based interdisciplinary collaboration and long term archiving and reuse of the relevant information. KW - Hydroinformatics KW - Information Systems KW - INSPIRE KW - Model Coupling and Integration Y1 - 2014 UR - http://link.springer.com/chapter/10.1007%2F978-981-4451-42-0_6#page-1 SN - 978-981-4451-42-0 SN - 978-981-4451-41-3 U6 - https://doi.org/10.1007/978-981-4451-42-0_6 SP - 65 EP - 76 PB - Springer CY - Singapore [u.a.] ER - TY - GEN A1 - Nuswantoro, Riyandi A1 - Diermanse, F. A1 - Molkenthin, Frank T1 - Probabilistic flood hazard maps for Jakarta derived from a stochastic rain-storm generator T2 - Journal of Flood Risk Management N2 - Generally, the methods to derive design events in a flood-modelling framework do not take into account the full range of extreme storm events and therefore do not take into account all aleatory uncertainties originating from rainfall intensity and spatial variability. The design event method uses a single simulation in order to represent an extreme event. The study presents a probabilistic method to derive flood inundation maps in an area where rainfall is the predominant cause of flooding. The case study area is the Jakarta Basin, Indonesia. It typically experiences high-intensity and short-duration storms with high spatial variability. The flood hazard estimation framework is a combination of a Monte Carlo (MC)-based simulation and a simplified stochastic storm generator. Several thousands of generated extreme events are run in the Sobek rainfall–runoff and 1D-2D model. A frequency analysis is then conducted at each location in the flood plain in order to derive flood maps. The result shows that in general, design events overestimate the flood maps in comparison with the proposed MC approach. The MC approach takes into account spatial variability of the rainfall. However, this means that there is a need to have a high number of MC-generated events in order to better estimate the extreme quantiles. As a consequence, the MC approach needs much more computational resources and it is time-consuming if a full hydrodynamic model is used. Hence, a simplified flood model may be required to reduce the simulation time. KW - Flood inundation KW - Jakarta Basin KW - Monte Carlo KW - spatial variability KW - uncertainty Y1 - 2016 UR - http://onlinelibrary.wiley.com/doi/10.1111/jfr3.12114/full U6 - https://doi.org/10.1111/jfr3.12114 SN - 1753-318X VL - 9 IS - 2 SP - 105 EP - 124 ER - TY - CHAP A1 - Notay, Kunwar Vikramjeet A1 - Mendoza-Lera, Clara A1 - Federlein, Laura L. A1 - Molkenthin, Frank T1 - A coupled subsurface-flow and metabolism model to study the effects of solute fluxes in the hyporheic zone T2 - Proceedings of the 28th EnviroInfo 2014 Conference, Oldenburg, Germany September 10-12, 2014 N2 - The hyporheic zone and the streambed host a great part of the energy and material fluxes through river ecosystems. However, the role of heterogeneities in the hyporheic zone in metabolism is not clearly understood. This paper proposes a new way to approach the question by using a coupled subsurface-flow and metabolism model for investigating the role of heterogeneities in the hyporheic metabolism. Our results show that (i) our coupled model is feasible for investigating solute fluxes in the hyporheic zone under heterogeneous set-ups, and (ii) the incorporation of heterogeneities seems be of relevance for hyporheic metabolism estimations. Y1 - 2014 UR - http://enviroinfo.eu/sites/default/files/pdfs/vol8514/0293.pdf SN - 978-3-8142-2317-9 PB - BIS-Verlag CY - Oldenburg ER - TY - CHAP A1 - Li, Chi-Yu A1 - Molkenthin, Frank ED - Marx Gómez, Jorge ED - Rapp, Barbara ED - Winter, Andreas ED - Vogel, Ute ED - Sonnenschein, Michael ED - Giesen, Nils T1 - Time Series Scenario Composition Framework in Supporting Environmental Simulation Tasks T2 - EnviroInfo 2014 - 28th International Conference on Informatics for Environmental Protection N2 - To answer the impacts under specific what-if scenarios together with simulation tools has been demanding in different environmental problems. In this contribution, a general software framework for time series scenario composition is proposed to deal with this issue. It is done through providing an interface to process available raw time series data and to compose scenarios of interest. These composed scenarios can be further converted to a set of time series data, e.g. boundary conditions, for simulation tasks in order to investigate the impacts. This software framework contains four modules: data pre-processing, event identification, process identification, and scenario composition. These modules mainly involve Time Series Knowledge Ming (TSKM), fuzzy logic and Multivariate Adaptive Regression Splines (MARS) to extract features from the raw time series data and then interconnect them. These extracted features together with other statistical information form the most basic elements, MetaEvents, for the semi-automatic scenario composition. Besides, a software prototype with two application examples containing measured hydrological and hydrodynamic data are used to demonstrate the benefit of the concept. The results present the capability of reproducing similar time series patterns from specific scenarios comparing to the original ones as well as the capability of generating new artificial time series data from composed scenarios based on the interest of users for simulation tasks. Overall, the framework provides an approach to fill the gap between raw data and simulation tools in engineering suitable manner. Y1 - 2014 UR - http://enviroinfo.eu/sites/default/files/pdfs/vol8514/0247.pdf SN - 978-3-8142-2317-9 SP - 247 EP - 254 PB - BIS-Verlag CY - Oldenburg ER - TY - GEN A1 - Altenkirch, Nora A1 - Zlatanović, Sanja A1 - Woodward, K. Benjamin A1 - Trauth, Nico A1 - Mutz, Michael A1 - Molkenthin, Frank T1 - Untangling hyporheic residence time distributions and whole stream" "metabolism using a hydrological process model T2 - Procedia Engineering N2 - The interaction of the water residence time (RT) in hyporheic sediments with the sediment metabolic rates is believed to be a key factor controlling whole stream metabolism. However, due to the methodological difficulties, there is little data that investigates this fundamental theory of aquatic ecology. Here, we report on progress made to combine numerical modelling with a series of modification to laboratory flumes overcoming methodological difficulties e.g. by creating steady flow paths for assessment of metabolic rates. To model the biogeochemical performance and to validate the model results, sediment structures were introduced in both, the model and the flumes, leading to differing RT distributions. Furthermore, the DOC supply in the flumes was manipulated to test the whole stream metabolic response with regard to RT distributions. In the flumes, hydraulic conditions were assessed using conservative tracer and heat as tracer. Metabolic activity was assessed using oxygen dynamics as a proxy of community respiration (CR). Residence time and metabolic processes were modelled using a multicomponent reactive transport code called MIN3P and calibrated with regard to the hydraulic conditions using the results obtained from the flume experiments. Monod type expressions were used to implement metabolic activity terms in the model. Using the results of the hydrological process model, a sensitivity analysis of the impact of RT distributions on the metabolic activity could yield supporting proof of an existing link between the two. KW - residence times KW - metabolism KW - MIN3P Y1 - 2016 UR - http://www.sciencedirect.com/science/article/pii/S1877705816319877 U6 - https://doi.org/10.1016/j.proeng.2016.07.598 SN - 1877-7058 N1 - 12th International Conference on Hydroinformatics, HIC 2016, Incheon, Korea VL - 154 SP - 1071 EP - 1078 ER - TY - CHAP A1 - Altenkirch, Nora A1 - Mutz, Michael A1 - Molkenthin, Frank A1 - Zlatanović, Sanja A1 - Trauth, Nico T1 - Untangling hyporheic residence time distributions and whole stream metabolisms using a hydrological process model T2 - European Geosciences Union, General Assembly 2016, Vienna, Austria N2 - The interaction of the water residence time in hyporheic sediments with the sediment metabolic rates is believed to be a key factor controlling whole stream metabolism. However, due to the methodological difficulties, there is little data that investigates this fundamental theory of aquatic ecology. Here, we report on progress made to combine numerical modeling with a series of manipulation to laboratory flumes overcoming methodological difficulties. In these flumes, hydraulic conditions were assessed using non-reactive tracer and heat pulse sensor. Metabolic activity was measured as the consumption and production of oxygen and the turnover of reactive tracers. Residence time and metabolic processes were modeled using a multicomponent reactive transport code called Min3P and calibrated with regard to the hydraulic conditions using the results obtained from the flume experiments. The metabolic activity was implemented in the model via Monod type expressions e.g. for aerobic respiration rates. A number of sediment structures differing in residence time distributions were introduced in both, the model and the flumes, specifically to model the biogeochemical performance and to validate the model results. furthermore, the DOC supply and surface water flow velocity were altered to test the whole stream metabolic response. Using the results of the hydrological process model, a sensitivity analysis of the impact of residence time distributions on the metabolic activity could yield supporting proof of an existing link between the two. Y1 - 2016 UR - http://meetingorganizer.copernicus.org/EGU2016/EGU2016-14435.pdf N1 - EGU2016-14435 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - CHAP A1 - Reichert, Nora A1 - Molkenthin, Frank T1 - Which numerical model is suitable for the simulation of hyporheic residence times and metabolic activity? FE model vs. FV model T2 - European Geosciences Union, General Assembly 2018, Vienna, Austria N2 - Numerical models have experienced a steady increase in popularity in the scientific community, espe-cially where historically isolated disciplines more and more acknowledge their need for interdisciplinarity. A frequently mentioned example is the interstitial between surface water and ground water in lotic systems, referred to as hyporheic zone. Due to its temporal and spatial heterogeneity, the prediction of hydraulic properties e.g. the residence time remains a challenge in science. Moreover, the hyporheic zone is often described as a reaction chamber due to its repertoire of chemical reactivity, which in turn is highly influenced by the residence times. Ecologically, this habitat is populated by a microbial community that has the potential to alter the chemical characteristics of their environment under the right hydraulic conditions. This small example illustrates the complexity of interdisciplinary research and elucidates the growing requirements concerning numerical models. While the number of numerical models offering to bridge some of these gaps is growing, the decision-making process for the modeler becomes increasingly difficult. It is the objective of this study to identify a suitable model for reproducing measured data from a laboratory flume experiment, in which oxygen was measured as a proxy for metabolic activity under changing dissolved organic carbon inflow in a hyporheic zone with varying residence times. The decision-making process for a suitable numerical model was hereby exemplified by comparing the two numerical models FEFLOW, based on the finite element method (FEM), and MIN3P, based on the finite volume method (FVM). Various aspects of both models are taken into account and evaluated from software technological, numerical or end-user point of view. These include among others the mass balance, meshing algorithm, computational effort and coupling interfaces to surface water models. KW - FEFLOW KW - MIN3P KW - finite volume method KW - finite element method KW - flume experiment Y1 - 2018 UR - https://meetingorganizer.copernicus.org/EGU2018/EGU2018-19845.pdf N1 - EGU2018-19845 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - BOOK A1 - Gourbesville, Philippe A1 - Gomez, Manuel A1 - Bathurst, James A1 - Molkenthin, Frank A1 - Ler, Lian Guey A1 - Kawka, Marcin T1 - HydroEurope, Flood Risks Management and Resilience in Europe : 2016, 2017, 2018 N2 - Since 2002, the pedagogic teams of six European universities are continuously exploring new trends and approaches in education for water engineers. Over the last decade, the water sector is facing the digital revolution challenges. The water uses have reached a high level of complexity that request scientific, technical and social skills in order to answer the demands of users and to preserve a precious resource that request constant cares. Developing new pedagogic practices is strongly needed for integrating the new methods and tools of hydroinformatics and to promote emerging concept like resilience for future professionals who will be in charge of this essential sector. The European programs like Erasmus and Erasmus+ have been, over the years, the main supporting instrument for developing these innovations that request nothing less than the European perspective and spirit. The current book presents the recent results achieved within the Erasmus+ Strategic partnership dedicated to develop pedagogic practices and resources for promoting the resilience concept in flood protection. HydroEurope is targeting MSc students specialised in flood management who will be deeply involved in natural hazards mitigation strategies development in Europe and worldwide. The innovative pedagogic approach and the concept of resilience introduced contribute to develop specific skills and competences which are highly needed for these young professionals. At the same time, the use of ICT in the pedagogic approach contributes to renovate the classical higher education practice in civil engineering. This book introduces HydroEurope by providing the rationale for implementing HydroEurope and the need to conduct HydroEurope transnationally. It justifies the choosing of the HydroEurope partners and provides attestation of the experiences and competences each of the partners will bring to HydroEurope. The partners of HydroEurope are University of Nice Sophia-Antipolis, France (UNS), Brandenburg University of Technology Cottbus Senftenberg, Germany (BTU), Technical University of Catalonia, Spain (UPC), Newcastle University, United Kingdom (NU), Warsaw University of Technology, Poland (WUT) and Vrije Universiteit Brussel, Belgium (VUB). The objective of HydroEurope is using the collaborative engineering approach to provide the participants of HydroEurope skills and knowledge on flood management in terms of hydrological and hydraulic modelling and flood resilience measures. The methodology on how to achieve this objective as well as the anticipated outcomes and impacts are carefully explained. In addition, this book presents the strategies for resilience approach implementation within the city where it is envisioned that this book will help to spread awareness on flood risk and resilience not just only in the public but also in the education and water domain. The high level of commitments from all partners has ensured the success of the HydroEurope project. All participants have underlined the interest of the approach and recognised the added value for their future professional career. (PDF) HydroEurope, Flood Risks Management and Resilience in Europe,. Available from: https://www.researchgate.net/publication/328784960_HydroEurope_Flood_Risks_Management_and_Resilience_in_Europe [accessed Nov 20 2018]. KW - Hydroinformatics KW - Flood Risks Management KW - Resilience Y1 - 2018 UR - https://www.researchgate.net/publication/328784960_HydroEurope_Flood_Risks_Management_and_Resilience_in_Europe PB - University of Nice Sophia Antipolis [u.a.] CY - Nice ER - TY - CHAP A1 - Trinh, Manh Xuan A1 - Nguyen, Mai Dang A1 - Molkenthin, Frank T1 - Flood risk assessment in the Tra Bong river catchment, Vietnam T2 - International Symposium on Lowland Technology (ISLT 2018), Hanoi, Vietnam N2 - Extreme flood events often cause tremendous damage and enormous risks to our life and nature. Flooding is one of the most costly kinds of natural disasters in Vietnam. Tra Bong is a river catchment located in Quang Ngai province, Vietnam. Due to the effect of typhoons originated from the East Sea, many extreme floods occur in this river annually. Therefore, considering the impacts of flooding and flood risk assessment in this river plays an important role in mitigating and adapting to flood risk. In this paper, a hydrological model (MIKE NAM) and some hydro-dynamic models such as the MIKE 11 HD, MIKE 21 FM and MIKE Flood models were applied as the effective tools to simulate flooding and inundation in the downstream area of the catchment. Two flood risk maps for 2009 and 100 year return period were created based on the intersection of hazard and vulnerability maps which were obtained from flood maps, land-use and population density. Accordingly, more than 80% of total flooded area is at high and very high risk. Almost 35 km2 of the flooded area were under high and very high risk in the year 2009, while, approximately 45.5 km2 would be under high and very high risk in the design flood event of 100 year return period. KW - Flood hazard KW - Flood vulnerability KW - Flood risk assessment Y1 - 2018 SN - 978-604-82-2483-7 PB - Construction Publishing House CY - Hanoi ER - TY - GEN A1 - Magbalot-Fernandez, Alminda A1 - He, Qianwen A1 - Molkenthin, Frank T1 - Effect of Climate Change in the Stream Flow, Crop Yields and NP Levels at White Oak Bayou Watershed Using SWAT simulation: A Case Study T2 - Asian Journal of Geographical Research N2 - Projected changes in temperature due to global climate change may have serious impacts on hydrologic processes, water resources availability, irrigation water demand, and thereby affecting the agricultural production and productivity. Therefore, understanding the impacts of climate change on crop production and water resources is of utmost importance for developing possible adaptation strategies. The White Oak Bayou, one of the several waterways that give Houston, Texas, United States its popular nickname "The Bayou City" was selected in this case study. SWAT model is process based and can simulate the hydrological cycle, crop yield, soil erosion and nutrient transport. It is operated with an interface in ArcView GIS using raster or vector datasets including the digital elevation model (DEM), soil properties, vegetation, LULC, and meteorological observations observed which were derived from the Consortium for Geospatial Information, National Cooperative Soil Survey, National Land Cover Database 2006, NCEP Climate Forecast System Reanalysis and USGS website in 2005-2008. The climate change scenario was based on the projected increase in temperature by the IPCC by 2100. This case study showed a decrease in streamflow from observed actual scenario (2005-2008) to projected increase of 4°C temperature in future climate change scenario by 2100. The evapotranspiration increased but there was a decrease in surface runoff and percolation. Moreover, there were greater average plant biomass and more average plant yields. Hence, the nitrogen and phosphorus uptake and removed in yield increased. Thus, the total nitrogen decreased while the total phosphorus is zero indicating loss of the Phosphorus content in the soil. Yet, this case study needs to be validated and calibrated with actual data to support the projected outcome. KW - SWAT KW - climate change KW - watershed KW - crop yield KW - nitrogen KW - phosphorus KW - streamflow Y1 - 2019 UR - http://journalajgr.com/index.php/AJGR/article/view/30083 VL - 2 IS - 2 SP - 1 EP - 9 ER -