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51.
52.
对1:5万高精度磁异常原始资料数据处理,进行化极、延拓计算7个不同上延高度异常,分析对比所有资料,结合地物化资料,对磁异常平面进行特征分区。又根据已知的白马洞(区内)-杉树林(区外)铅锌矿床成矿带及区内异处的铅锌、铜、锰等矿床(点)的成矿规律和分布特点,圈定了8个异常成矿靶区,19个大型的浅层局部负磁异常,均为有一定找矿意义的磁异常,并推测它们可能为岩体与矿致磁异常(铅锌、铜、锰、铁)等综合引起,在岩体(浅表隐伏的花岗岩珠或岩枝)与围岩接触带、层间破碎带上,应是赋矿的有利部位。 相似文献
53.
Seasonal variability of intrusion of the Kuroshio water across the continental shelf northeast of Taiwan 总被引:1,自引:0,他引:1
The currents over the East China Sea continental slope northeast of Taiwan were monitored from mid-July to early December, 1992 and again from late March to early August, 1993, covering the two transition periods of monsoon seasons. In 1992, we found massive Kuroshio intrusion (onshore velocity reaching 25 cm/s or more) occurred at mid-October, a lag of one month after the wind pattern changed from southerly to northeasterly. By comparing the surface meteorological with observed cross-slope velocity, we suggest that cooling rather than direct wind forcing, i.e., mid-October cold air outbreaks associated with the Siberia highs moving across the East China Sea, may be the major cause for triggering the observed winter intrusion event. The intrusion continued until the end of the 1992 data in early December and again in late March and early April of 1993 when the data became available. In mid-April, 1993, the intrusion suddenly halted when the lows replaced the highs and the wind reversed with warm air from south. In addition, we found that short-period intrusions appeared in August and early September, 1992 and in late July, 1993. All of these summer intrusions coincide with the occurrence of typhoon passages over or further offshore of the area northeast of Taiwan. 相似文献
54.
利用紫外线照射灭活的同源精子,激活栉孔扇贝(Chlamys farreri)卵子分裂,获得雌核发育胚胎,流式细胞仪检测胚胎细胞平均单倍体率为82.5%。对获得的胚胎进行全基因组扩增,获得足量的基因分型模板,利用高分辨率溶解曲线(HRM)技术对其进行96个单核苷酸多态性(SNP)位点分型。结果显示,诱导雌核发育胚胎的位点检出率为96.27%,其中99.06%的位点分型结果与相应雌性亲本相符;单个胚胎中只表现一种等位形式的位点占91.67%~96.88%,平均为94.81%,较雌性亲本的纯合位点比例(64.25%)明显提高。本研究利用灭活同源精子诱导获得栉孔扇贝雌核发育胚胎,并利用单个胚胎的全基因组扩增产物进行基因位点分析,为扇贝人工诱导雌核发育个体的早期多基因位点检测和评价提供参考。 相似文献
55.
The interaction of a solitary wave with an array of surface-piercing vertical circular cylinders is investigated numerically. The wave motion is modeled by a set of generalized Boussinesq equations. The governing equations are discretized using a finite element method. The numerical model is validated against the experimental data of solitary wave reflection from a vertical wall and solitary wave scattering by a vertical circular cylinder respectively. The predicted wave surface elevation and the wave forces on the cylinder agree well with the experimental data. The numerical model is then employed to study solitary wave scattering by arrays of two circular cylinders and four circular cylinders respectively. The effect of wave direction on the wave forces and the wave runup on the cylinders is quantified. 相似文献
56.
本文利用1957~1998年的资料,以统计分析的方法,对长江中下游梅雨及热带气旋活动的对应关系进行了初步分析,归纳出几点有参考价值的结论以求对热带气旋活动的长期预报有所裨益。 相似文献
57.
Nianzhi Jiao Yantao Liang Yongyu Zhang Jihua Liu Yao Zhang Rui Zhang Meixun Zhao Minhan Dai Weidong Zhai Kunshan Gao Jinming Song Dongliang Yuan Chao Li Guanghui Lin Xiaoping Huang Hongqiang Yan Limin Hu Zenghu Zhang Long Wang Chunjie Cao Yawei Luo Tingwei Luo Nannan Wang Hongyue Dang Dongxiao Wang Si Zhang 《中国科学:地球科学(英文版)》2018,61(11):1535-1563
The China Seas include the South China Sea, East China Sea, Yellow Sea, and Bohai Sea. Located off the Northwestern Pacific margin, covering 4700000 km~2 from tropical to northern temperate zones, and including a variety of continental margins/basins and depths, the China Seas provide typical cases for carbon budget studies. The South China Sea being a deep basin and part of the Western Pacific Warm Pool is characterized by oceanic features; the East China Sea with a wide continental shelf, enormous terrestrial discharges and open margins to the West Pacific, is featured by strong cross-shelf materials transport; the Yellow Sea is featured by the confluence of cold and warm waters; and the Bohai Sea is a shallow semiclosed gulf with strong impacts of human activities. Three large rivers, the Yangtze River, Yellow River, and Pearl River, flow into the East China Sea, the Bohai Sea, and the South China Sea, respectively. The Kuroshio Current at the outer margin of the Chinese continental shelf is one of the two major western boundary currents of the world oceans and its strength and position directly affect the regional climate of China. These characteristics make the China Seas a typical case of marginal seas to study carbon storage and fluxes. This paper systematically analyzes the literature data on the carbon pools and fluxes of the Bohai Sea,Yellow Sea, East China Sea, and South China Sea, including different interfaces(land-sea, sea-air, sediment-water, and marginal sea-open ocean) and different ecosystems(mangroves, wetland, seagrass beds, macroalgae mariculture, coral reefs, euphotic zones, and water column). Among the four seas, the Bohai Sea and South China Sea are acting as CO_2 sources, releasing about0.22 and 13.86–33.60 Tg C yr~(-1) into the atmosphere, respectively, whereas the Yellow Sea and East China Sea are acting as carbon sinks, absorbing about 1.15 and 6.92–23.30 Tg C yr~(-1) of atmospheric CO_2, respectively. Overall, if only the CO_2 exchange at the sea-air interface is considered, the Chinese marginal seas appear to be a source of atmospheric CO_2, with a net release of 6.01–9.33 Tg C yr~(-1), mainly from the inputs of rivers and adjacent oceans. The riverine dissolved inorganic carbon (DIC) input into the Bohai Sea and Yellow Sea, East China Sea, and South China Sea are 5.04, 14.60, and 40.14 Tg C yr~(-1),respectively. The DIC input from adjacent oceans is as high as 144.81 Tg C yr~(-1), significantly exceeding the carbon released from the seas to the atmosphere. In terms of output, the depositional fluxes of organic carbon in the Bohai Sea, Yellow Sea, East China Sea, and South China Sea are 2.00, 3.60, 7.40, and 5.92 Tg C yr~(-1), respectively. The fluxes of organic carbon from the East China Sea and South China Sea to the adjacent oceans are 15.25–36.70 and 43.93 Tg C yr~(-1), respectively. The annual carbon storage of mangroves, wetlands, and seagrass in Chinese coastal waters is 0.36–1.75 Tg C yr~(-1), with a dissolved organic carbon(DOC) output from seagrass beds of up to 0.59 Tg C yr~(-1). Removable organic carbon flux by Chinese macroalgae mariculture account for 0.68 Tg C yr~(-1) and the associated POC depositional and DOC releasing fluxes are 0.14 and 0.82 Tg C yr~(-1), respectively. Thus, in total, the annual output of organic carbon, which is mainly DOC, in the China Seas is 81.72–104.56 Tg C yr~(-1). The DOC efflux from the East China Sea to the adjacent oceans is 15.00–35.00 Tg C yr~(-1). The DOC efflux from the South China Sea is 31.39 Tg C yr~(-1). Although the marginal China Seas seem to be a source of atmospheric CO_2 based on the CO_2 flux at the sea-air interface, the combined effects of the riverine input in the area, oceanic input, depositional export,and microbial carbon pump(DOC conversion and output) indicate that the China Seas represent an important carbon storage area. 相似文献
58.
建水地下流体监测井水位骤降异常分析 总被引:2,自引:0,他引:2
2012年2月底至4月上旬,建水县地下流体监测站监测井水位出现了幅度近8m的显著下降变化.通过对该监测井与石屏—建水断裂带观测井同期水位进行对比分析,排除了监测井水位骤降异常是由构造活动引起的可能性.同时,调查了周边的抽水井,运用水文地质分析方法,结合当地水文地质情况,确定该监测井水位骤降异常是由附近的井孔抽水引起.充分了解当地的水文地质情况,根据地下水的运移规律,结合实地调查,可以对地下水异常给出相对合理的解释,并进一步判断地下水异常是否是构造活动引起的地震异常. 相似文献
59.
采用传统方法和数字地震学方法(视应力),对首都圈东部地区2009-2017年发生的震群序列性质进行分析,分析结果表明:①使用传统方法不能确定震群序列性质,可以利用视应力方法进一步分析,该方法能够反映每个震群应力场的变化特征,可以进行异常性质判别;②通过2种方法的对比分析,可以提高震群序列异常性质判定结果的科学性和可信度,为后续地震活动趋势提供有力的参考依据。对2种方法进行震例检验,可知后续地震一般为中等以上地震,在震群(具有异常性质)发生1-7个月后发震,发震位置在震源区附近。 相似文献
60.
Qian?Zhang Xiujuan?Liang Zhang?FangEmail author Changlai?Xiao 《Stochastic Environmental Research and Risk Assessment (SERRA)》2017,31(7):1697-1707
Precipitation is an important part of the hydrologic cycle, and its complexity is closely related to surface runoff and changing groundwater dynamics, which in turn influences the accuracy of precipitation forecasts. In this study, we used the Lempel–Ziv algorithm (LZA) and a multi-scaling approach to assess precipitation complexity for 1958–2011 by analyzing time series data from 28 gauging stations located throughout Jilin province, China. The spatial distribution of normalized precipitation complexity was measured by LZA, a symbolic dynamics algorithm, and by a multi-scaling approach, which is described by fractals. In addition, the advantages and limitations of these two methods were investigated. The results indicate that both methods are applicable and consistent for calculating precipitation complexity, and that the degree of relief is a primary factor controlling precipitation complexity in the mountainous area; in the plain terrain, however, the prominent influencing factor is climate. 相似文献