rain quality period pests risks heavy flood risk possible after melting too heavy road risk, load and after possible train melting in danger evenly some more bright plants UV- day sensitive smog melting, and to UV possible car use ozone possible danger for devices and workers and hail hail damage: heart hail damage fruit, risks on grape plants stormy tilted slope of lakes, danger for devices wind wind wind, break of damage trees possible damage inc. possible possible tornado long increased engine risk of ozone air use air of near the pollution wind roads possible possible haze, lake and river shipping limited reduced risk of smog speed, air fog possible bus and electric leg rain car at and surface damages transport risk, arm icing at risk road breaks risk at risk contains two third of the nation-wide matrix, i.e. 4 boxes in terms of each effects and 6 boxes Table 3.2 concerning each sector. One may argue that we retained equal numbers of boxes in each line and column which may be too automatic. However, firstly, there is no simple way how distinguish them according to what metrics. Another reason is that the retained proportion (36 boxes i.e. roughly 70 individual impacts) is too many to cope with in practice.
rain period pests quality risks heavy flood risk possible after melting risk, after melting too heavy load possible road and train in danger evenly bright day some plants sensitive to UV smog possible melting, car use possible more UV- and ozone hail danger for devices and workers and hail damage on plants hail damage: fruit, grape heart risks stormy wind, inc. tornado tilted slope of lakes, danger for devices wind break of trees possible wind damage possible damage possible long of wind ozone near the roads increased air pollution possible engine use possible risk of air haze, fog lake and river shipping limited smog possible reduced speed, risk of air rain surface icing damages bus and car transport at risk electric at risk, road at risk leg and arm breaks risk Table 3.2 contains two third of the nation-wide matrix, i.e. 4 boxes in terms of each effects and 6 boxes concerning each sector. One may argue that we retained equal numbers of boxes in each line and column which may be too automatic. However, firstly, there is no simple way how distinguish them according to what metrics. Another reason is that the retained proportion (36 boxes i.e. roughly 70 individual impacts) is too many to cope with in practice.