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UAMV/RiverFloodsProjected2071_2100 (MapServer)

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Service Description:

Datasets used in the analysis include: 1) Urban Morphological Zone (UMZ) from Urban Atlas 2012. UMZ is the reference unit for the city morphology. They are regarded as the best approximation of the “real” city formand defined as a set of urban areas laying less than 200 m apart, within the core city administrative boundaries). 2) LISFLOOD model outputs from JRC. The discharge return levels were derived for every river pixel for return periods of 100 years. For time window of 30 years (2071–2100), a Gumbel distribution was fitted to the annual maximum discharges simulated by LISFLOOD in every grid cell of the modelled domain based on 12 models and the A1B scenario (Rojas et al.,2012; Rojas et al.,2013). The resultant modelled flood area was intersected with the Urban Morphological Zone extent, and the proportion of potentially flooded UMZ area was calculated for each city by dividing the potentially flooded area by the total UMZ area.

Importantly, the indicator is based on elevation and does not includecurrently existing or plannedflood protection measures like dams, dikes, etc., as data for these are not yet available. Areas shown here as potentially at risk of flood might in reality be protected by flood defences. However, since flood protection measures can fail in certain circumstances, the flood risk remains.

Map Name: Percentage of UMZ potentially exposed to river flooding (1 in 100 years return period; 2071 - 2100)


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Layers: Description: The map shows the proportion of the city's Urban Morphological Zone (densely built-up urban area) potentially at risk of river flooding (1 in 100 years return period), modelled for the future (period of 2071 - 2100). This is based on the modelling of river discharge within Lisflood model (JRC).

Copyright Text: Datasets: JRC (Lisflood model); Copernicus (Urban Atlas 2012); Eurostat (city boundaries); EEA (Urban Morphological Zone).Methodology: Rojas, R., Feyen, L., Bianchi, A. and Dosio, A., 2012, ‘Assessment of future flood hazard in Europe using a large ensemble of bias corrected regional climate simulations’, Journal of Geophysical Research, 117(17) D17109; Rojas, R., Feyen, L. and Watkiss, P., 2013, ‘Climate change and river floods in the European Union: socio- economic consequences and the costs and benefits of adaptation’, Global Environmental Change, (23) 1737–1751.

Spatial Reference: 102100  (3857)

Single Fused Map Cache: false

Initial Extent: Full Extent: Units: esriMeters


Document Info: Supports Dynamic Layers: true

MaxRecordCount: 1000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true

Child Resources:   Info   Dynamic Layer

Supported Operations:   Export Map   Identify   QueryLegends   QueryDomains   Find   Return Updates   Generate KML