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Tide- and wind-driven variability of water level in Sansha Bay, Fujian, China 被引量:2
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作者 Hongyang LIN Jianyu HU +4 位作者 Jia ZHU Peng CHENG Zhaozhang CHEN Zhenyu SUN Dewen CHEN 《Frontiers of Earth Science》 SCIE CAS CSCD 2017年第2期332-346,共15页
This study analyzes water-level variability in Sansha Bay and its adjacent waters near Fujian, China, using water-level data observed from seven stations along the coast and wind data observed from a moored buoy near ... This study analyzes water-level variability in Sansha Bay and its adjacent waters near Fujian, China, using water-level data observed from seven stations along the coast and wind data observed from a moored buoy near Mazu Island. At super-to near-inertial frequencies, tides dominated the water-level variations, mainly characterized by semi-diurnal (prmafily M2, S2, and N2) and diurnal tides (primarily Kb O1). The correlation coefficients between residual (non-tidal) water-level time series and the observed wind-stress time series exceeded 0.78 at all stations, hinting that the wind acting on the study region was another factor modulating the water-level variability. A cross-wavelet and wavelet-coherence analysis further indicated that (i) the residual water level at each station was more coherent and out-of-phase with the alongshore winds mostly at sub-inertial time scales associated with synoptic weather changes; and (ii) the residual water-level difference between the outer and inner bay was more coherent with the cross-shore winds at discrete narrow frequency bands, with the wind leading by a certain phase. The analysis also implied that the monsoon relaxation period was more favorable for the formation of the land-sea breeze, modulating the residual water-level difference. 展开更多
关键词 residual water level tide wind sansha bay
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长江口余水位时空变化的数值模拟和分析 被引量:2
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作者 宋云平 朱建荣 《华东师范大学学报(自然科学版)》 CAS CSCD 北大核心 2021年第4期121-133,共13页
应用严格验证过的河口海岸三维数值模型,模拟了长江口余水位的时空变化,分析径流、潮汐和风应力对余水位的影响,揭示了余水位变化的动力机制.长江河口余水位的空间分布和随时间变化过程主要是受径流影响,其次是受风的影响.余水位上游大... 应用严格验证过的河口海岸三维数值模型,模拟了长江口余水位的时空变化,分析径流、潮汐和风应力对余水位的影响,揭示了余水位变化的动力机制.长江河口余水位的空间分布和随时间变化过程主要是受径流影响,其次是受风的影响.余水位上游大于下游.全年最高余水位出现在9月,徐六泾、崇西、南门、堡镇和深水航道北导堤东端分别为0.861 m、0.754 m、0.629 m、0.554 m和0.298 m.最低余水位徐六泾和崇西出现在1月,分别为0.420 m和0.391 m;南门和堡镇出现在2月,分别为0.313 m和0.291 m;深水航道北导堤东端出现在4月,量值为0.111 m.北支余水位低于南支,原因在于进入北支的径流量少.南港的余水位大于北港,同一河道内南侧的余水位大于北侧,原因在于径流受科氏力作用右偏.对比仅有径流、潮汐和风的数值试验结果,对余水位作用最大的是径流,其次是潮汐,最小的是风.月平均径流量7月达到最大,会导致最高余水位,但期间为东南风,产生的余水位十分微小.9月盛行的北风产生向陆的Ekman水体输运,会引起河口余水位上升,且期间径流量仍处于高值区,两者相互作用,导致整个河口全年最高余水位出现在9月. 展开更多
关键词 余水位 径流 潮汐 长江口
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