Development of model for the estimation of direct flood damage including the movable property

Abstract

In recent decades, an increase in flood damage has been observed; therefore, the assessment of potential damage is becoming more important. Estimation of potential flood damage can be achieved with various existing models. However, their transferability is questionable and the actual availability of input data is often limited. To overcome these shortcomings, a new model has been developed to effectively estimate flood damage in Croatia. The proposed model uses only publicly available data such as the CORINE data set and information from censuses. The model was developed in an open source Geographic Information System programme. Validation of the model's performance was performed using data from the extreme May 2014 flood that occurred in the Balkan Peninsula. Furthermore, the model has already been used in practice and has proven to be user‐friendly due to the minimum input required from open source data, allowing for insights to be gained from data updates.

Exploring Options for Flood Risk Management with Special Focus on Retention Reservoirs

“…The input to the model is polygon of the flood extent with the information about the water depth as polygon attribute and the output is the expected damage for different sectors [21,37]. The model was already used in previous applications [21] with a similar type of model also developed for Croatia [38]. The flood damage KRPAN model was developed specifically for the entire area of Slovenia taking into consideration all the relevant input data [21,37].…”

“…The input to the model is polygon of the flood extent with the information about the water depth as polygon attribute and the output is the expected damage for different sectors [21,37]. The model was already used in previous applications [21] with a similar type of model also developed for Croatia [38].…”

A Revised Approach to Flood Damage Estimation in Flood Risk Maps and Flood Risk Management Plans, Poland

“…The first flood risk maps for Poland, published in December 2013, were created using a methodology developed in 2009 [1]. This methodology adopted a popular macro-and meso-scale approach to flood risk estimation, which determines flood losses based on several variables: the area and land use type, inundation, unit asset values depending on the type of development (also called asset value indicators or maximum damages), and depth-damage functions (Figure 1) [2][3][4][5][6][7][8][9][10][11][12][13][14].…”

“…Most methods and models are based on replacement and/or recovery value of buildings and their contents: Multi-Colored Manual developed in the UK [11], HAZUS-MH model (USA) [12], FLEMO models (Germany) [16,23], INSYDE model (Italy) [21], case studies from Italy [24,25], a Japan study [26], and an Australian model [27]. The market value of the assets was the basis for the models from Italy [24,25,28], the Croatian model [14], and the Greek case study [29]. The values are taken from insurance data [25,30], statistical data and censuses [14,16,31], expert assessments [25], the real estate market, and other market price sources [24,25].…”

“…The market value of the assets was the basis for the models from Italy [24,25,28], the Croatian model [14], and the Greek case study [29]. The values are taken from insurance data [25,30], statistical data and censuses [14,16,31], expert assessments [25], the real estate market, and other market price sources [24,25]. The buildings that have historical, artistic, and/or cultural significance are valued through expert assessments [25] and other techniques, including substitution value approach and public willingness to pay for preservation, maintenance, or exploitation of such estates [32].…”