P.J. Visser
Please Note
14 records found
1
De zwaarste stormvloeden
De kust van Zuid-Holland in de periode 1300-2000
Een andere reden waarom het moeilijk is zo’n ordening aan te brengen, is het feit dat stormen niet over het hele land even heftig zijn. De ramp van 1 februari 1953 trof vooral Zuid-Holland, Zeeland en Noord-Brabant, terwijl de Kerstvloed van 25 december 1717 in ons land vooral een grote ramp veroorzaakte in Groningen en Friesland. Rangschikking van stormvloeden zal daarom altijd slechts gelden voor een beperkt gebied. In het volgende zullen wij proberen een rangschikking te maken van stormvloeden langs de kust van Zuid-Holland tussen Goedereede en Katwijk, omdat dit kan worden gezien als een redelijk homogeen gebied als het gaat om stormvloedstanden en omdat voor dit gebied enige waarnemingen van stormvloedstanden van vroegere stormvloeden bestaan. ...
Een andere reden waarom het moeilijk is zo’n ordening aan te brengen, is het feit dat stormen niet over het hele land even heftig zijn. De ramp van 1 februari 1953 trof vooral Zuid-Holland, Zeeland en Noord-Brabant, terwijl de Kerstvloed van 25 december 1717 in ons land vooral een grote ramp veroorzaakte in Groningen en Friesland. Rangschikking van stormvloeden zal daarom altijd slechts gelden voor een beperkt gebied. In het volgende zullen wij proberen een rangschikking te maken van stormvloeden langs de kust van Zuid-Holland tussen Goedereede en Katwijk, omdat dit kan worden gezien als een redelijk homogeen gebied als het gaat om stormvloedstanden en omdat voor dit gebied enige waarnemingen van stormvloedstanden van vroegere stormvloeden bestaan.
An integrated framework of coastal flood modelling under the failures of sea dikes
A case study in Shanghai
Climate change leads to sea level rise worldwide, as well as increases in the intensity and frequency of tropical cyclones (TCs). Storm surge induced by TC’s, together with spring tides, threatens to cause failure of flood defenses, resulting in massive flooding in low-lying coastal areas. However, limited research has been done on the combined effects of the increasing intensity of TCs and sea level rise on the characteristics of coastal flooding due to the failure of sea dikes. This paper investigates the spatial variation of coastal flooding due to the failure of sea dikes subject to past and future TC climatology and sea level rise, via a case study of a low-lying deltaic city- Shanghai, China. Using a hydrodynamic model and a spectral wave model, storm tide and wave parameters were calculated as input for an empirical model of overtopping discharge rate. The results show that the change of storm climatology together with relative sea level rise (RSLR) largely exacerbates the coastal hazard for Shanghai in the future, in which RSLR is likely to have a larger effect than the TC climatology change on future coastal flooding in Shanghai. In addition, the coastal flood hazard will increase to a large extent in terms of the flood water volume for each corresponding given return period. The approach developed in this paper can also be utilized to investigate future flood risk for other low-lying coastal regions.
Global change amplifies coastal flood risks and motivates a paradigm shift towards nature-based coastal defence, where engineered structures are supplemented with coastal wetlands such as saltmarshes. Although experiments and models indicate that such natural defences can attenuate storm waves, there is still limited field evidence on how much they add safety to engineered structures during severe storms. Using well-documented historic data from the 1717 and 1953 flood disasters in Northwest Europe, we show that saltmarshes can reduce both the chance and impact of the breaching of engineered defences. Historic lessons also reveal a key but unrecognized natural flood defence mechanism: saltmarshes lower flood magnitude by confining breach size when engineered defences have failed, which is shown to be highly effective even with long-term sea level rise. These findings provide new insights into the mechanisms and benefits of nature-based mitigation of flood hazards, and should stimulate the development of novel safety designs that smartly harness different natural coastal defence functions.
Significant reduction of the rate of erosion of a sand bed is obtained when sand is mixed with a small amount of bentonite. In previous experiments this behaviour has already been shown for relatively low flow velocities. In this case, the erosion process is dominated by grain-by-grain erosion, which is characterised by low ratios of the erosion velocity and permeability (ve/k<3). It is unknown whether these reductions in the erosion process also occur at relatively high flow velocities, where dilatancy-reduced erosion dominates (ve/k>3). Experiments were executed in a tilting flume to investigate the erosion rate of the sand-bentonite mixtures. In 13 different tests, the dry volume percentage of the bentonite additive, the diameter of the sand particles and the depth-averaged flow velocity were varied. The depth-averaged flow velocities ranged from 1 to 2 m/s and all erosion tests were performed under supercritical flow conditions. The experiments show that the bentonite additive did not influence the strength characteristics of the sand however the permeability did decrease significantly. This proves that the significant decrease of the erosion rate was caused by the decrease of the permeability of the sand and that the test conditions were in the dilatancy-reduced regime.
Breach growth models are used to predict the breach dimensions and to estimate the flow through the breach. All assessed models pretty well succeed in this. However, starting from various premises and taking into account a (limited) set of different breaching mechanisms, the use of today’s state-of-the-art breach growth models is not entirely trouble free
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Breach growth models are used to predict the breach dimensions and to estimate the flow through the breach. All assessed models pretty well succeed in this. However, starting from various premises and taking into account a (limited) set of different breaching mechanisms, the use of today’s state-of-the-art breach growth models is not entirely trouble free