Study on bottom stress under conditions of storm surge and tide

Sea bottom stress is conventionally assumed to be directly proportional to the square of the verticallyaveraged velocity,and the drag coefficient to be dependent on the speed and direction of the wind on the sea surface,the depth and dimension of the sea,the period of the tide and so on. In this paper a three-dimensional numerical model is used to discuss the relation the dragcoefficient and the above-mentioned factors.It can be shown from calculation that the relation, is valid,that the drag coefficient is a constant in a major part of a sea as thought conventionally,andthat there is a small area near the coast where the drag coefficient is far greater.We call it singular area. A number of conclusions on the relation between the drag coefficient and the speed and direction ofthe wind,the sea depth and so on,were obtained.     

Numerieal prediction of storm surge in the Qingdao area under the impact of climate change

A typhoon-induced storm surge simulation system was developed for the Qingdao area, including a typhoon diagnostic model for the generation of wind and pressure fields and a 2D Advanced Circulation (ADCIRC) model for simulating the associated storm surge with a 200 m resolution along the Qingdao coastline. The system was validated by an extreme surge event Typhoon Mamie (8509) and the parameters of Typhoon Mamie were used to investigate the sensitivity of typhoon paths to Qingdao storm surges with four selected paths: the paths of Typhoons Mamie (8509), Opal, 3921 and 2413, the selection being made according to their relative position to Qingdao. Experiments based on the Typhoon Mamie (8509) storm surge were also conducted to study the possible influences of future climate changes, including the sea level rise and sea surface temperature (SST) rise, on storm surges along the Qingdao coast. Storm surge conditions under both present day and future (the end of the 21st century) climate scenarios associated with the four selected paths were simulated. The results show that with the same intensity, when typhoons follow the paths of 3921 and 2413, they would lead to the most serious disasters in different areas of Qingdao. Sea level and SST affect storm surges in different ways: sea level rise affects storm surge mainly through its influence on the tide amplitude, while the increased SST has direct impact on the intensity of the surges. The possible maximum risk of storm surges in 2100 in the Qingdao area caused by typhoons like Mamie (8509) was also estimated in this study.     

Influence of sea level rise on Shanghai astronomical tide and storm surge and estimation of probable water level

reODUCTIONSthtrendanditsinfluencehaveattiactedInanresearchersinrecentyears.He(l994)exPloredthePOssibleeffectofSLRonZhuiang(Pear)fuverdeltaSSbyusingarelativelysimPletecboqUeofcollatingfutUreSthincrementswithrecenily-measuredtidalcharaCteristicvalues.Pengetal.(l994)usedasindlaraPProachtoinvestigatetheSthinf[uenceonTianinSS.SthhasqUitepronouncedimPatontheinteractionbetweenSSandATinshallowwater-SSandATgenesisaxegrealyinfluencedbylocalwaterdepthandtOpography-TocoPewiththenonlinearr…     

Predict typhoon-induced storm surge deviation in a principal component back-propagation neural network model

To reduce typhoon-caused damages, numerical and empirical methods are often used to forecast typhoon storm surge. However, typhoon surge is a complex nonlinear process that is difficult to forecast accurately. We applied a principal component back-propagation neural network (PCBPNN) to predict the deviation in typhoon storm surge, in which data of the typhoon, upstream flood, and historical case studies were involved. With principal component analysis, 15 input factors were reduced to five principal components, and the application of the model was improved. Observation data from Huangpu Park in Shanghai, China were used to test the feasibility of the model. The results indicate that the model is capable of predicting a 12-hour warning before a typhoon surge.     

Storm surge disaster evaluation model based on an artificial neural network

Back propagation is employed to forecast the current of a storm with various characteristics of storm surge; the technique is thus important in disaster forecasting. One of the most fuzzy types of information in the prediction of geological calamity is handled employing the information diffusion method. First, a single-step prediction model and neural network prediction model are employed to collect influential information used to predict the extreme tide level. Second, information is obtained using the inf...     

A numerical study of the effects of coastal geometry in the Bohai Sea on storm surges induced by cold-air outbreaks

Strom surges are not only determined by the atmospheric forcing,but also influenced by the coastal geometry and bathymetry.The Bohai Sea,as one of China’s marginal seas,is seriously harmed by storm surges,especially those caused by cold-air outbreaks.As the coastline of the Bohai Sea has changed evidently these years,storm surges may have new characteristics due to the changes in the local geometry.This paper aims to find out these new characteristics by primarily investigating the influence of the changes in the local geometry on storm surges with numerical methods.20 scenarios were constructed based on the track and inten-sity of the cold-air outbreaks to describe the actual situation.By analyzing the model results of the control scenarios,it is found that the main changes of the maximum surge elevation occur in the Bohai Bay and the Laizhou Bay.At the top of the Bohai Bay,the maximum surge elevation is obviously decreased,while in the Laizhou Bay,it is enhanced by the growing Yellow River Delta.This,however,does not suggest that the storm surges in the Laizhou Bay become more serious.A comparison of the risk assessment of storm surges in the Tanggu,Huanghua and Yangjiaogou regions shows that the risk of storm surges in these coastal areas is lightened by the evolvement of the coastal geometry.Particularly near Yangjiaogou,though the maximum surge elevation becomes higher to subject more areas to risk,the risk is still reduced by the evolvement of the Yellow River Delta.     

Numerical Study of Storm Surge Inundation in the Southwestern Hangzhou Bay Region During Typhoon Chan-Hom in 2015

Storm surge inundation is a major concern in marine hazard risk assessment during extreme weather conditions.In this study,a high-resolution coupled model(the ADVanced CIRCulation model+the Simulating WAves Nearshore model)was used to investigate the storm surge inundation in the southwestern Hangzhou Bay region during Typhoon Chan-hom in 2015.The simulated hydrodynamic processes(sea surface wave and storm tide)were validated with measured data from wave buoys and tide gauges,indicating that the overall performance of the model was satisfactory.The storm surge inundation in the coastal area was simulated for several idealized control experiments,including different wave effects(wave-enhanced wind stress,wave-enhanced bottom stress,and wave radiation stress).Dike overflowing cases with different dike heights and dike breaking cases with different dike breach lengths were considered in the simulation.The results highlight the necessity of incorporating wave effects in the accurate simulation of storm surge inundation.Dike height significantly influences the magnitude and phase of the maximum inundation area in the dike overflowing cases,and dike breach length is an important factor impacting the magnitude of the maximum inundation area in the dike breaking cases.This study may serve as a useful reference for accurate coastal inundation simulation and risk assessment.     

An Elliptical Wind Field Model of Typhoons

1　Introduction　Thestormsurgeisoneofthemostimportantphe nomenathatendangerthecoastalengineeringfacili ties .Everyyearthereareabout 1 2tropicalcyclonesmakinglandfallatthemainlandofChinafromMaytoOctober (MuandTu ,2 0 0 0 ) .Whentheastronomictideishigh ,the…     

Correlation between coastal geomorphology and tsunami inundation along the coast of Kanyakumari, India

An investigation has been carried out in the vicinity of the coastal villages of Kanyakumari District,India to decode the influence of coastal geomorphology on inundation degree and run-up level.Even though the tsunami waves approach the study area in different patterns,the consequences are found to be mainly dependent upon the coastal configuration and local geographic setting,the study area are considered to be of three types based upon the geomorphic arrangement,namely shallow coast,elevated coast and estuarine coast.The inundation and run-up level vary from coast to coast even though there is no remarkable variation in the intensity of the approaching tsunami surge.The inundation extent ranges from to 54 m to 413 m with maximum along estuarine coast and minimum along elevated coast.Estuarine coast recorded the maximum run-up level of about 6 m and the minimum of about 1 m along the elevated coast.The percentage of inundated area in the total coastal area varies between 19% to 10% along estuarine coast and elevated coast respectively.Inundation and run-up level cannot be appreciable in the inland along the elevated coast.The beaches of elevated coast are less affected whereas those of estuarine coast are highly affected.Inundation is limited in the elevated beaches along the study area.     

灰色预测模型在高层建筑物沉降预测中的应用研究

详细讨论了一阶一元灰色预测模型GM(1，1)的基本内容及建模过程，并成功地将GM(1，1)模型应用于高层建筑物沉降监测的预测预报，相应地编写了基于MATLAB的灰色系统沉降预测程序，便于实际应用。实践证明，灰色预测模型GM(1，1)在沉降预测中具有较高的应用价值。     

An ultra-shallow water storm surge model with quadratically depth-varying eddy viscosity and its application to the numerical modelling of the Bohai Sea storm surges

Based on the ultra-shallow water storm surge theory proposed by Qin and Feng^[1] (1975), an ultra-shallow water storm surge model, taking into consideration the effect of the earth's rotation and the quadratically depth-varying eddy viscosity, is developed. Using the model wind stress fields as a guide for representing the effect of wind stress forcing in our model, a numerical investigation of the Bohai Sea wind surge is made. As a better means for solving the mathematical model, the Galerkin finite element technique is employed in numerical solutions. Under the control of the main weather situation, namely, the cold wave combined with the extratropical cyclone, two storm surge processes experienced on the Bohai Sea are simulated numerically. It is found that the experimental results, in the main, are in agreement with the observations.     

孟加拉湾风暴暴雨的能量分析

利用MMSV3中尺度数值预报模式对2004年5月18-19日造成云南暴雨过程的孟湾风暴进行了数值模拟，在模拟结果与实况较为一致的基础上，利用辐散风和旋转风动能平衡方程，分析盂湾风暴的能量收支和转换特征，揭示孟加拉湾风暴维持的机制及其与外围暴雨增幅的关系。     

Integrity of Local Ecosystems and Storm Water Management in Residential Areas

1IntroductionPopulation growth has created escalating pressureson our resources(natural,humanandsocial)onlocal,regional,and global scales.These pressures negativelyi mpact the natural environment,our communities andthe quality of our lives.In the face of …     

A combined model of wind, wave, tide and storm surges

A combined numerical model of wind, wave, tide, and storm surges was built on the basis of the “wind field model in limited sea surface areas”. When used to forecast the sea surface wind, wave height and water level, it can describe them very well. Contribution No. 4108 from the Institute of Oceanology, Chinese Academy of Sciences. This work supported by Stress Project (KZ952-S1-420), Chinese Academy of Sciences; 863 Project (863-818-06-05), and (863-818-Q-07)     

Influence of Land Use/Cover Change on Storm Runoff— A Case Study of Xitiaoxi River Basin in Upstream of Taihu Lake Watershed

Land use/cover change (LUCC) is one of the main boundary conditions which influence many hydrologic processes. In view of the importance of Taihu Lake Watershed in China and the urgency of discovering the impacts of LUCC on storm runoff, two flood events under five land cover scenarios in the Xitiaoxi River Basin of the upstream of Taihu Lake watershed were simulated by distributed hydrologic modeling system HEC-HMS. The influences of each land cover on storm runoff were discussed. It was concluded that under the same rainstorm the ascending order of runoff coefficient and peak flow produced by the 5 different land covers were woodland, shrub, grassland, arable land, and built-up land; the descending order of swelling time were woodland, shrub, grassland, arable land, and built-up land. Scenario of built-up land was the first to reach peak flow, then arable land, grassland, shrub, and woodland. There were close relationships between the runoff coefficients produced by the 5 different land covers. The degrees of impacts on runoff coefficient of land cover change modes were sorted by descending: woodland to built-up land, shrub to built-up land, grassland to built-up land, arable land to built-up land, woodland to arable land, shrub to arable land, arable land to grassland, shrub to grassland, grassland to arable land, and woodland to shrub. Urbanization will contribute to flood disaster, while forestation will mitigate flood disaster.     

复杂地形下冰雹预报的数值试验研究

充分考虑贵州低纬、高原山区特色,首先模拟由于下垫面的热力和动力不均匀造成的强对流云的初始扰动.在此初始扰动的基础上,用完全弹性三维冰雹云数值模式,模拟雹云的发生发展过程,对冰雹进行数值预报研究.通过现场试验和个例分析,发现模式能反映雹云的发生、发展等变化规律,并能对冰雹天气作预报,预报概括率为81%.     

Division of high resolution sequence stratigraphy units with wavelet transform of logs in Dagang Oilfield

Division of high resolution sequence stratigraphy units based on wavelet transform of logging data is found to be good at identifying subtle cycles of geological process in Kongnan area of Dagang Oilfield. The analysis of multi-scales gyre of formation with 1-D continuous Dmey wavelet transform of log curve (GR) and 1-D discrete Daubechies wavelet transform of log curve (Rt) all make the division of sequence interfaces more objective and precise, which avoids the artificial influence with core analysis and the uncertainty with seismic data and core analysis.     

Division of high resolution sequence stratigraphy units with wavelet transform of logs in Dagang Oilfield

Division of high resolution sequence stratigraphy units based on wavelet transform of logging data is found to be good at identifying subtle cycles of geological process in Kongnan area of Dagang Oilfield. The anal- ysis of multi-scales gyre of formation with 1-D continuous Dmey wavelet transform of log curve （GR） and I-D discrete Daubechies wavelet transform of log curve （Rt） all make the division of sequence interfaces more objec- tive and precise, which avoids the artificial influence with core analysis and the uncertainty with seismic data and core analysis.     

Effect of Temporal Resolution of NDVI on Potential Evapotranspiration Estimation and Hydrological Model Performance

Normalized difference vegetation index (NDVI) data, obtained from remote sensing information, are essential in the Shuttleworth-Wallace (S-W) model for estimation of evapotranspiration. In order to study the effect of temporal resolution of NDVI on potential evapotranspiration (PET) estimation and hydrological model performance, monthly and 10-day NDVI data set were used to estimate potential evapotranspiration from January 1985 to December 1987 in Huangnizhuang catchment, Anhui Province, China. The differences of the two calculation results were analyzed and used to drive the block-wise use of the TOPMODEL with the Muskingum-Cunge routing (BTOPMC) model to test the effect on model performance. The results show that both annual and monthly PETs estimated by 10-day NDVI are lower than those estimated by monthly NDVI. Annual PET from the vegetation root zone (PETr) lowers 9.77%-13.64% and monthly PETr lowers 3.28%-17.44% in the whole basin. PET from the vegetation interception (PETi) shows the same trend as PETr. In addition, temporal resolution of NDVI has more effect on PETr in summer and on PETi in winter. The correlation between PETr as estimated by 10-day NDVI and pan measurement (R2= 0.835) is better than that between monthly NDVI and pan measurement (R2 = 0.775). The two potential evapotranspiration estimates were used to drive the BTOPMC model and calibrate parameters, and model performance was found to be similar. In summary, the effect of temporal resolution of NDVI on potential evapotranspiration estimation is significant, but trivial on hydrological model performance.