Bringing Innovation to Ongoing Water Management – a Better Future Under Climate Change Grant Agreement N° 641739, Research and Innovation Action

Bringing Innovation to Ongoing Water Management – a Better Future Under Climate Change Grant Agreement N° 641739, Research and Innovation Action

Horizon 2020 Societal challenge 5: Climate action, environment, resource efficiency and raw materials BINGO Bringing INnovation to onGOing water management – a better future under climate change Grant Agreement n° 641739, Research and Innovation Action Deliverable number: D3.3 Deliverable name: Calibrated water resources models for past conditions Characterization of the catchments and the water systems WP / WP number: WP3: Integrated analysis of the water cycle Delivery due date: Project month 18 (31/12/2016) Actual date of submission: 21/12/2016, revised by 31/05/2018 Dissemination level: Public Lead beneficiary: IWW Responsible scientist/administrator: Tim aus der Beek (IWW) Estimated effort (PM): 27.45 Elsa Alves (LNEC), Tim aus der Beek (IWW), Adriana Bruggeman (CyI), Contributor(s): Corrado Camera (CyI), André Fortunato (LNEC), Paula Freire (LNEC), Ashenafi Seifu Grange (NTNU), Ayis Iacovides (IACO), Iacovos Iacovides (IACO), Erle Kristvik (NTNU), Luca Locatelli (AQUATEC), Paula Lorza (WV), Josep Montes (Ajuntament de Badalona), Marios Mouskoundus (IACO), Tone Merete Muthanna (NTNU), Martin Nottebohm (IWW), Emilia Novo (LNEC), Manuel Oliveira (LNEC), Sjoerd Rijpkema (Vitens), Marta Rodrigues (LNEC), Rui Rodrigues (LNEC), Beniamino Russo (AQUATEC), Pablo Sánchez (AQUATEC), Marc Scheibel (WV), David Sunyer (AQUATEC), Teresa Viseu (LNEC), Bernard Voortman (KWR), Flip Witte (KWR), Georgios Zittis (Cyl) Ajuntament de Badalona: 0.2, AQUATEC: 5; CYI: 2.5; GLD: 0.25; IACO: Estimated effort contributor(s) 1.5; IWW: 1.5; KWR: 0.25; LNEC: 8; NTNU: 3, Vitens: 0.25; WV: 5 (PM): Internal reviewer: Rui Rodrigues (LNEC) Note: This version of D3.3 includes changes implemented in order to address the comments from the review of the second reporting period >> address the comments from the review of the second reporting period. 0 D3.3 – Calibrated water resources models for past conditions Changes with respect to the DoA Not applicable Dissemination and uptake This report is public. Short Summary of results (<250 words) D3.3 – Calibrated water resources models for past conditions was developed by IWW, LNEC, NTNU, KWR, AQUALOGY, CYI, and all local partners within WP3 - Integrated analysis of the water cycle. This Deliverable presents the model applications at all six research sites. Special focus in this Deliverable is being paid to the modelling objectives, the model types, the data used and produced, the model results, as well as the model evaluation and discussion. D3.3 shows the wide variability of models developed and applied in order to bring innovation into water management practices. This is due to the fact that European water problems are diverse and BINGO aims at providing as many solutions as possible to mitigate those climate change related problems. Thus, D3.3 should not be seen as a model intercomparison experiment but as an effort to solve multiple water problems together in a community of scientists, local governments, water suppliers and many more stakeholders. D3.3. is identical with Milestone 16, as the availability of calibrated and working models is essential for the calculation of climate and land-use scenarios. Evidence of accomplishment This report as well as the model output. 1 D3.3 – Calibrated water resources models for past conditions TABLE OF CONTENTS TABLE OF FIGURES ................................................................................................................................... 7 TABLE OF TABLES ................................................................................................................................... 15 1. INTRODUCTION ........................................................................................................................... 17 2. BINGO Calibrated water resources models for past conditions ............................................. 17 3. Cyprus ........................................................................................................................................... 18 3.1. Peristerona Watershed .............................................................................................................. 18 3.1.1. Model objectives in BINGO ....................................................................................................... 18 3.1.2. Model application ...................................................................................................................... 20 3.1.2.1. Model description .................................................................................................................. 20 3.1.2.2. Data ...................................................................................................................................... 21 3.1.2.3. Calibration and validation strategies ..................................................................................... 22 3.1.2.4. Results .................................................................................................................................. 25 3.1.3. Model evaluation and discussion ............................................................................................... 26 3.1.4. Bibliography ............................................................................................................................... 28 3.2. Pedieos Watershed ................................................................................................................... 30 3.2.1. Model objectives in BINGO ....................................................................................................... 30 3.2.2. Model application ...................................................................................................................... 32 3.2.2.1. Model description .................................................................................................................. 32 3.2.2.2. Data ...................................................................................................................................... 34 3.2.2.2.1. Parameter input and data of the WDD Hydrologic Model for Pedieos .............................. 34 3.2.2.2.2. Sources and Input data, together with format, spatial and temporal resolution for the BINGO Hydrologic Model for Pedieos watershed ................................................................................................ 39 3.2.2.2.3. Sample Rainfall – Runoff graphs for each of the WRF configuration of the ensemble set 40 3.2.2.3. Calibration and validation strategies ..................................................................................... 47 3.2.2.4. Results .................................................................................................................................. 48 3.2.2.4.1. Results as time series compared to measured data, e.g. runoff ....................................... 48 3.2.2.4.2. Flooding as per the results for each of the Ensemble precipitation configurations ........... 54 3.2.3. Model evaluation and discussion ............................................................................................... 55 3.2.3.1. Evaluation of the goodness of fit of the model ...................................................................... 55 3.2.3.2. Discussion on the model results as presented above ........................................................... 55 2 D3.3 – Calibrated water resources models for past conditions 3.2.4. Bibliography ............................................................................................................................... 57 4. Germany ........................................................................................................................................ 59 4.1. Model objectives in BINGO ....................................................................................................... 59 4.2. Model application ...................................................................................................................... 59 4.2.1. Model description ...................................................................................................................... 59 4.2.2. Model set-up .............................................................................................................................. 61 4.2.3. Hydro-meteorological data ........................................................................................................ 66 4.2.4. Calibration and validation strategies .......................................................................................... 68 4.2.5. Results ...................................................................................................................................... 71 4.2.5.1. Upper Große Dhünn .............................................................................................................. 71 4.2.5.2. Dhünn reservoir..................................................................................................................... 72 4.2.5.3. Eifgenbach ............................................................................................................................ 74 4.2.5.4. Linnefe .................................................................................................................................. 76 4.2.5.5. Scherfbach ............................................................................................................................ 77 4.2.5.6. Mutzbach .............................................................................................................................

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