<p>In Europe, flash floods are one of the most significant natural hazards, causing serious risk to life and destruction of buildings and infrastructure. The intense rain causing those floods has a few different names, however, with very similar meaning. The term chosen in this study, &#8216;cloudburst&#8217;, was introduced by Woolley (1946) as &#8220;&#8230;a torrential downpour of rain which by its spottiness and relatively high intensity suggests the bursting and discharge of the whole cloud at once&#8221;. While these events play an important role in the ongoing flood risk management discussion, they are under-represented among flood models.</p><p>The main aim of this study is to demonstrate an approach by showing how methods and techniques can be integrated together to construct a catastrophe model for flash flooding of J&#246;nk&#246;ping municipality in Sweden. The model is developed in the framework of the &#8216;Oasis Loss Modelling Framework&#8217; platform, jointly with end-users from the public sector and the insurance industry. Calibration and validation of the model were conducted by comparisons against three historical cloudburst events and corresponding insurance-claim data.</p><p>The analysis has shown that it is possible to get acceptable results from a cloudburst catastrophe model using only rainfall data, and not surface-water level as driving variable. The approach presented opens up for such loss modelling in places where complex hydraulic modelling cannot be done because of lacking data or skill of responsible staff. The Swedish case study indicates that the framework presented can be considered as an important decision making tool, by establishing an area for collaboration between academia; insurance businesses; and local authorities, to reduce long-term disaster risk in Sweden.</p><p>&#160;</p><p>Woolley, Ralf R., "Cloudburst Floods in Utah 1850-1938" (1946). Elusive Documents. Paper 55.</p>
Suitability assessment of lake water quality monitoring on waterbody images acquired by HJ-1A hyperspectral imager:a case study of Lake Chaohu