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1.
2015年3月"海马"号遥控无人潜水器(ROV)在南海北部陆坡西部海域首次发现活动冷泉,并命名为"海马"冷泉,此后中国地质调查局广州海洋地质调查局先后组织了3个航次,对"海马"冷泉开展进一步勘查和研究。本次研究在综合分析4个航次调查数据的基础上,初步阐述"海马"冷泉的分布范围、地形地貌、生物群落、自生碳酸盐岩和流体活动等特征。总体而言,"海马"冷泉区地势平缓,气体渗漏现象非常发育,是以CH4为主要气体渗漏形成的活动冷泉区,且气体渗漏活动具有时空迁移性。气体碳同位素组成表明,海马冷泉区的CH4为混合成因气,且以微生物成因为主;"海马"冷泉区发育有多种类型的化能自养冷泉生物群落,冷泉区种类丰富,目前已报道了多个冷泉生物新种。这些发现为研究南海北部陆坡西部海域天然气水合物分解及其环境效应、冷泉生物生命起源与演化和南海与印度洋及太平洋物种迁移贯通等科学问题提供重要依据。  相似文献   
2.
This study deals with a unusual cooling event after Typhoon Mujigea passed over the northern South China Sea(SCS) in October 2015. We analyze the satellite sea surface temperature(SST) time series from October 3 to 18,2015 and find that the cooling process in the coastal ocean had two different stages. The first stage occurred immediately after typhoon passage on October 3, and reached a maximum SST drop of –2℃ on October 7 as the usual cold wake after typhoon. The second stage or the unusual extended cooling event occurred after 7d of the typhoon passage, and lasted for 5d from October 10 to 15. The maximum SST cooling was –4℃ and occurred after 12d of typhoon passage. The mechanism analysis results indicate that after landing and moving northwestward to the Yunnan-Guizhou Plateau(YGP), Typhoon Mujigea(2015) met the westerly wind front on October 5. The lowpressure and positive-vorticity disturbances to the front triggered meridional air flow and low-pressure trough,thus induced a katabatic cold jet downward from the Qinghai-Tibet Plateau(QTP) passing through the YGP to the northwestern SCS. The second cooling reached the maximum SST drop 4d later after the maximum air temperature drop of –9℃ on October 11. The simultaneous air temperature and SST observations at three coastal stations reveal that it is this katabatic cold jet intrusion to lead the unusual SST cooling event.  相似文献   
3.
Water quality is often highly variable both in space and time, which poses challenges for modelling the more extreme concentrations. This study developed an alternative approach to predicting water quality quantiles at individual locations. We focused on river water quality data that were collected over 25 years, at 102 catchments across the State of Victoria, Australia. We analysed and modelled spatial patterns of the 10th, 25th, 50th, 75th and 90th percentiles of the concentrations of sediments, nutrients and salt, with six common constituents: total suspended solids (TSS), total phosphorus (TP), filterable reactive phosphorus (FRP), total Kjeldahl nitrogen (TKN), nitrate-nitrite (NOx), and electrical conductivity (EC). To predict the spatial variation of each quantile for each constituent, we developed statistical regression models and exhaustively searched through 50 catchment characteristics to identify the best set of predictors for that quantile. The models predict the spatial variation in individual quantiles of TSS, TKN and EC well (66%–96% spatial variation explained), while those for TP, FRP and NOx have lower performance (37%–73% spatial variation explained). The most common factors that influence the spatial variations of the different constituents and quantiles are: annual temperature, percentage of cropping land area in catchment and channel slope. The statistical models developed can be used to predict how low- and high-concentration quantiles change with landscape characteristics, and thus provide a useful tool for catchment managers to inform planning and policy making with changing climate and land use conditions.  相似文献   
4.
南海北部琼东南海域活动冷泉特征及形成模式   总被引:3,自引:0,他引:3       下载免费PDF全文
近年来,活动冷泉的研究越来越受到关注.本文利用多波束数据、多道地震数据以及底质取样结果研究琼东南海域活动冷泉系统,分析活动冷泉的羽状流特征、海底地貌与底质特征以及流体活动构造特征.多波束水体数据上,观测到多个延伸高度超过750 m的气泡羽状流,海底流体活动非常强烈;多道地震上识别出麻坑、流体运移通道、气烟囱等流体渗漏相关的构造,与其他海域观测到的反射特征不同,羽状流的下方流体运移通道呈强振幅"串珠"反射;重力活塞取样在两个站位上获得浅表层块状天然气水合物.其中一个站位位于活动冷泉附近,天然气水合物赋存于海底以下8 m左右.基于以上三方面的数据,笔者提出了一个用于描述活动冷泉系统的形成模式,游离气通过气烟囱向上运移到达浅层,一部分在天然气水合物稳定带内形成天然气水合物,另一部分穿透天然气水合物稳定带到达海底,形成活动冷泉的羽状流.  相似文献   
5.
周海光 《地球物理学报》2018,61(9):3617-3639
2016年6月23日14—15时,江苏省阜宁县突遭"增强藤田"4级龙卷、强风、短时强降水和冰雹等强对流天气,致使99人罹难,800多人受伤,属极其罕见的极端天气事件.本文利用加密自动站数据、探空数据、单部雷达观测数据以及双多普勒雷达三维风场反演数据,研究了此次龙卷发生的天气背景、龙卷超级单体的三维结构及其演变特征.研究表明:(1)龙卷发生期间,阜宁处于地面暖湿舌内、地面有γ中尺度气旋和辐合线;环境大气抬升凝结高度很低、中低层有很强的水平风的垂直切变;这有利于龙卷的生成.(2)此次龙卷超级单体左移风暴的低层有钩状回波和入流缺口,有界弱回波区位于垂直剖面中低层、悬垂回波位于风暴前部高层.(3)龙卷发生前,风暴质心高度、最大反射率因子高度和风暴回波顶高度均持续增加,风暴垂直累积液态含水量激增;龙卷发生在上述参数的数值首次同时减小时.(4)双多普勒雷达反演的三维风场揭示,超级单体形成之前的对流风暴内部中低层已经有中尺度气旋形成,中尺度气旋伴随着超级单体的生成、发展和强化的各个阶段.中尺度气旋位于钩状回波顶端、其南端有反气旋,此涡旋偶对于中层动量下传、龙卷生成、发展、加强和触地具有重要作用.  相似文献   
6.
Small, steep watersheds are prolific sediment sources from which sediment flux is highly sensitive to climatic changes. Storm intensity and frequency are widely expected to increase during the 21st century, and so assessing the response of small, steep watersheds to extreme rainfall is essential to understanding landscape response to climate change. During record winter rainfall in 2016–2017, the San Lorenzo River, coastal California, had nine flow peaks representing 2–10‐year flood magnitudes. By the third flood, fluvial suspended sediment showed a regime shift to greater and coarser sediment supply, coincident with numerous landslides in the watershed. Even with no singular catastrophic flood, these flows exported more than half as much sediment as had a 100‐year flood 35 years earlier, substantially enlarging the nearshore delta. Annual sediment load in 2017 was an order of magnitude greater than during an average‐rainfall year, and 500‐fold greater than in a recent drought. These anomalous sediment inputs are critical to the coastal littoral system, delivering enough sediment, sometimes over only a few days, to maintain beaches for several years. Future projections of megadroughts punctuated by major atmospheric‐river storm activity suggest that interannual sediment‐yield variations will become more extreme than today in the western USA, with potential consequences for coastal management, ecosystems, and water‐storage capacity. The occurrence of two years with major sediment export over the past 35 years that were not associated with extremes of the El Niño Southern Oscillation or Pacific Decadal Oscillation suggests caution in interpreting climatic signals from marine sedimentary deposits derived from small, steep, coastal watersheds, to avoid misinterpreting the frequencies of those cycles. Published 2018. This article is a U.S. Government work and is in the public domain in the USA.  相似文献   
7.
Hans Van de Vyver 《水文研究》2018,32(11):1635-1647
Rainfall intensity–duration–frequency (IDF) curves are a standard tool in urban water resources engineering and management. They express how return levels of extreme rainfall intensity vary with duration. The simple scaling property of extreme rainfall intensity, with respect to duration, determines the form of IDF relationships. It is supposed that the annual maximum intensity follows the generalized extreme value (GEV) distribution. As well known, for simple scaling processes, the location parameter and scale parameter of the GEV distribution obey a power law with the same exponent. Although, the simple scaling hypothesis is commonly used as a suitable working assumption, the multiscaling approach provides a more general framework. We present a new IDF relationship that has been formulated on the basis of the multiscaling property. It turns out that the GEV parameters (location and scale) have a different scaling exponent. Next, we apply a Bayesian framework to estimate the multiscaling GEV model and to choose the most appropriate model. It is shown that the model performance increases when using the multiscaling approach. The new model for IDF curves reproduces the data very well and has a reasonable degree of complexity without overfitting on the data.  相似文献   
8.
Increasing precipitation extremes are one of the possible consequences of a warmer climate. These may exceed the capacity of urban drainage systems, and thus impact the urban environment. Because short‐duration precipitation events are primarily responsible for flooding in urban systems, it is important to assess the response of extreme precipitation at hourly (or sub‐hourly) scales to a warming climate. This study aims to evaluate the projected changes in extreme rainfall events across the region of Sicily (Italy) and, for two urban areas, to assess possible changes in Depth‐Duration‐Frequency (DDF) curves. We used Regional Climate Model outputs from Coordinated Regional Climate Downscaling Experiment for Europe area ensemble simulations at a ~12 km spatial resolution, for the current period and 2 future horizons under the Representative Concentration Pathways 8.5 scenario. Extreme events at the daily scale were first investigated by comparing the quantiles estimated from rain gauge observations and Regional Climate Model outputs. Second, we implemented a temporal downscaling approach to estimate rainfall for sub‐daily durations from the modelled daily precipitation, and, lastly, we analysed future projections at daily and sub‐daily scales. A frequency distribution was fitted to annual maxima time series for the sub‐daily durations to derive the DDF curves for 2 future time horizons and the 2 urban areas. The overall results showed a raising of the growth curves for the future horizons, indicating an increase in the intensity of extreme precipitation, especially for the shortest durations. The DDF curves highlight a general increase of extreme quantiles for the 2 urban areas, thus underlining the risk of failure of the existing urban drainage systems under more severe events.  相似文献   
9.
基于甘肃河西走廊15个国家基准基本站点提供的1966年1月1日~2018年12月31日春季(3~5月)逐日最低气温值数据,利用线性回归分析方法、Spline空间插值法和Mann-Kendall趋势和突变检验法,探讨了河西走廊地区1966—2018年春季(3~5月)寒潮频次变化及其影响因子。研究表明:(1) 1966—2018年河西走廊地区春季(3~5月)单站寒潮频次总体呈现下降趋势〔–0.098次·(10 a)–1〕,其中1980—2010年寒潮频次呈显著下降趋势,2010年之后下降趋势变缓,未通过显著性检验;区域寒潮53 a来频次总体呈缓慢下降趋势〔–0.015次·(10 a)–1〕。(2) 近53 a河西走廊地区春季三个月中,单站寒潮总量4月>3月>5月,其中4月、5月寒潮频次下降不明显,3月频次下降显著。(3) 空间上,大致以北大河和黑河干流为界,两河中间区域春季寒潮频次低,而北大河以北和黑河干流以东区域则是寒潮高值区,走廊外围地区寒潮频次较高,且大多呈显著下降趋势,寒潮频次与气温距平存在明显负相关关系,内部地区变化趋势不明显。(4) 河西地区春季寒潮频次受气候变暖、地形和大气环流的影响,寒潮频次变化趋势存在地区差异。研究可提高对甘肃河西走廊寒潮演化过程的认知,为河西走廊气候变化的进一步研究奠定基础。  相似文献   
10.
基于甘肃省河东地区61个气象站点1988—2017年逐日气温数据,利用Mann-Kendall检验,Sen’s斜率估计方法分析甘肃省河东地区极端气温指数的时空变化趋势,并探讨极端气温指数与其影响因素之间的关系,最后利用NAR神经网络结合Hurst指数对甘肃省河东地区极端气温指数变化进行预测分析。结果表明:(1)从时间上看,冷极值相对指数呈下降趋势,冷极值绝对指数、暖极值以及气温日较差、作物生长期呈上升趋势。(2)从空间上看,对冷极值变化反应最为敏感的是高寒湿润区,对暖极值变化反应最为敏感的是温带半湿润区和北亚热带湿润区,除北亚热带湿润区外各区域作物生长期的变化都达到了显著水平,而气温日较差仅在温带半湿润区达到了显著水平。(3)多数极端气温指数与经纬度、海拔之间有显著相关性,但受区域自然特点影响,经度与海拔对其影响实为一类。(4)亚洲区极涡强度、北半球极涡强度以及青藏高原指数B与极端气温指数变化有密切关系,而太阳黑子等只与个别指数之间存在显著的相关性。(5)预测出的极端气温指数冷极值相对指数仍呈现下降趋势,冷极值的绝对指数、暖极值以及气温日较差、作物生长期仍然呈现增加趋势,但大多数指数与1988—2017年相比变化幅度有所降低。(6)与其他区域相比甘肃省河东地区大多数气温指数变化幅度处于中间水平,表现出其为多种不同气候区、自然区交界地带的特色。  相似文献   
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