@article{liu-ecs-2018,
title = {Numerical study on factors influencing typhoon-induced storm
surge distribution in {Zhanjiang Harbor}},
author = {Xing Liu and Wensheng Jiang and Bo Yang and John Baugh},
journal = {Estuarine, Coastal and Shelf Science},
volume = {215},
pages = {39-51},
year = {2018},
issn = {0272-7714},
doi = {10.1016/j.ecss.2018.09.019},
OPTurl = {http://www.sciencedirect.com/science/article/pii/S027277141830009X},
url_pdf = {papers/liu-ecs-2018.pdf},
keywords = {Local atmospheric effect, Remote atmospheric effect, Storm
  surge, Spatial distribution, Sea level rise, Typhoon track},
abstract = {
A 2-D unstructured finite element model is used to study how local and
remote atmospheric forcing, sea level rise, and shoreline variation
affect typhoon-induced storm surge in a small shallow bay, Zhanjiang
Harbor (ZH). In this research, the spatial distribution of storm surge
is divided into three patterns in ZH, denoted E-W, N-S, and S-N, using
a quantitative method. In the Bay, local atmospheric effects (LAE) and
remote atmospheric effects (RAE) both play important roles in the
maximum residual water level. The contribution of RAE to the inflow is
higher than that of the LAE, but the former is less important in the
spatial distribution in ZH. In addition, the typhoon track influences
the time of occurrence of the maximum surge by forcing the outer
waters to ZH, then the spatial distribution of the surge residual in
the bay is controlled by local winds, and different regions are
threatened during different kinds of storm surge processes. Two sea
level rise scenarios are set up in the paper as well, and the results
show that the trends of the changes in LAE and RAE in the inner-bay
are the opposite in the case of sea level rise; however, the total
changes of the distribution are not the same in different
categories. In general, the E-W category storm surge is weakened,
while the N-S and S-N category storm surges have inverse changes in
the north and south of ZH. There is a downward trend of the maximum
surge gradient within the Bay, but relative to sea level rise itself
this effect is not obvious. The establishment of the sea embankment
increased the storm surge within the bay though it is not significant.}
}

{"_id":"gLCfGKNLYhLLjKpvg","bibbaseid":"liu-jiang-yang-baugh-numericalstudyonfactorsinfluencingtyphooninducedstormsurgedistributioninzhanjiangharbor-2018","author_short":["Liu, X.","Jiang, W.","Yang, B.","Baugh, J."],"bibdata":{"bibtype":"article","type":"article","title":"Numerical study on factors influencing typhoon-induced storm surge distribution in Zhanjiang Harbor","author":[{"firstnames":["Xing"],"propositions":[],"lastnames":["Liu"],"suffixes":[]},{"firstnames":["Wensheng"],"propositions":[],"lastnames":["Jiang"],"suffixes":[]},{"firstnames":["Bo"],"propositions":[],"lastnames":["Yang"],"suffixes":[]},{"firstnames":["John"],"propositions":[],"lastnames":["Baugh"],"suffixes":[]}],"journal":"Estuarine, Coastal and Shelf Science","volume":"215","pages":"39-51","year":"2018","issn":"0272-7714","doi":"10.1016/j.ecss.2018.09.019","opturl":"http://www.sciencedirect.com/science/article/pii/S027277141830009X","url_pdf":"papers/liu-ecs-2018.pdf","keywords":"Local atmospheric effect, Remote atmospheric effect, Storm surge, Spatial distribution, Sea level rise, Typhoon track","abstract":"A 2-D unstructured finite element model is used to study how local and remote atmospheric forcing, sea level rise, and shoreline variation affect typhoon-induced storm surge in a small shallow bay, Zhanjiang Harbor (ZH). In this research, the spatial distribution of storm surge is divided into three patterns in ZH, denoted E-W, N-S, and S-N, using a quantitative method. In the Bay, local atmospheric effects (LAE) and remote atmospheric effects (RAE) both play important roles in the maximum residual water level. The contribution of RAE to the inflow is higher than that of the LAE, but the former is less important in the spatial distribution in ZH. In addition, the typhoon track influences the time of occurrence of the maximum surge by forcing the outer waters to ZH, then the spatial distribution of the surge residual in the bay is controlled by local winds, and different regions are threatened during different kinds of storm surge processes. Two sea level rise scenarios are set up in the paper as well, and the results show that the trends of the changes in LAE and RAE in the inner-bay are the opposite in the case of sea level rise; however, the total changes of the distribution are not the same in different categories. In general, the E-W category storm surge is weakened, while the N-S and S-N category storm surges have inverse changes in the north and south of ZH. There is a downward trend of the maximum surge gradient within the Bay, but relative to sea level rise itself this effect is not obvious. The establishment of the sea embankment increased the storm surge within the bay though it is not significant.","bibtex":"@article{liu-ecs-2018,\ntitle = {Numerical study on factors influencing typhoon-induced storm\nsurge distribution in {Zhanjiang Harbor}},\nauthor = {Xing Liu and Wensheng Jiang and Bo Yang and John Baugh},\njournal = {Estuarine, Coastal and Shelf Science},\nvolume = {215},\npages = {39-51},\nyear = {2018},\nissn = {0272-7714},\ndoi = {10.1016/j.ecss.2018.09.019},\nOPTurl = {http://www.sciencedirect.com/science/article/pii/S027277141830009X},\nurl_pdf = {papers/liu-ecs-2018.pdf},\nkeywords = {Local atmospheric effect, Remote atmospheric effect, Storm\n surge, Spatial distribution, Sea level rise, Typhoon track},\nabstract = {\nA 2-D unstructured finite element model is used to study how local and\nremote atmospheric forcing, sea level rise, and shoreline variation\naffect typhoon-induced storm surge in a small shallow bay, Zhanjiang\nHarbor (ZH). In this research, the spatial distribution of storm surge\nis divided into three patterns in ZH, denoted E-W, N-S, and S-N, using\na quantitative method. In the Bay, local atmospheric effects (LAE) and\nremote atmospheric effects (RAE) both play important roles in the\nmaximum residual water level. The contribution of RAE to the inflow is\nhigher than that of the LAE, but the former is less important in the\nspatial distribution in ZH. In addition, the typhoon track influences\nthe time of occurrence of the maximum surge by forcing the outer\nwaters to ZH, then the spatial distribution of the surge residual in\nthe bay is controlled by local winds, and different regions are\nthreatened during different kinds of storm surge processes. Two sea\nlevel rise scenarios are set up in the paper as well, and the results\nshow that the trends of the changes in LAE and RAE in the inner-bay\nare the opposite in the case of sea level rise; however, the total\nchanges of the distribution are not the same in different\ncategories. In general, the E-W category storm surge is weakened,\nwhile the N-S and S-N category storm surges have inverse changes in\nthe north and south of ZH. There is a downward trend of the maximum\nsurge gradient within the Bay, but relative to sea level rise itself\nthis effect is not obvious. The establishment of the sea embankment\nincreased the storm surge within the bay though it is not significant.}\n}\n\n","author_short":["Liu, X.","Jiang, W.","Yang, B.","Baugh, J."],"key":"liu-ecs-2018","id":"liu-ecs-2018","bibbaseid":"liu-jiang-yang-baugh-numericalstudyonfactorsinfluencingtyphooninducedstormsurgedistributioninzhanjiangharbor-2018","role":"author","urls":{" pdf":"https://jwbaugh.github.io/papers/liu-ecs-2018.pdf"},"keyword":["Local atmospheric effect","Remote atmospheric effect","Storm surge","Spatial distribution","Sea level rise","Typhoon track"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://jwbaugh.github.io/jwb.bib","dataSources":["pewK2DSYXKNLH3TTe"],"keywords":["local atmospheric effect","remote atmospheric effect","storm surge","spatial distribution","sea level rise","typhoon track"],"search_terms":["numerical","study","factors","influencing","typhoon","induced","storm","surge","distribution","zhanjiang","harbor","liu","jiang","yang","baugh"],"title":"Numerical study on factors influencing typhoon-induced storm surge distribution in Zhanjiang Harbor","year":2018}