化探背景与异常划分中的C型转换法

化学背景与异常在统计学上的差异同时表现在浓度和变差两个方面。在划分背景与异常时,把这两方面信息提取出来并作显化处理,使背景与异常的差别更大,以利划分,这就是Ｃ型转换的基本思想。介绍了Ｃ型转换法的基本原理及其在条件模拟和实际金矿区中的应用。     

Land subsidence caused by groundwater exploitation in Suzhou City,China

Suzhou City, located at the lower reaches of the Yangtze River in southeastern Jiangsu Province, is one of the few cities in China which suffer from severe ground settlement. A research project was carried out to investigate this problem. Geological and hydrogeological studies show that there is a multi-layered aquifer system with three distinct, soft mud layers of marine and lagoonal origins. An examination of historical records of groundwater extraction, water levels, and ground settlement shows that the ground subsidence is associated with the continuously increasing groundwater extraction in the deep, confined aquifer. It is believed that the consolidation of the soft mud layers, especially the third layer which is thick and close to the main pumped aquifer, contributes to the ground settlement. A three-dimensional finite difference numerical model representing the multi-layered aquifer system was developed to study the ground settlement in response to groundwater extraction. By calibrating the model with both the measured groundwater level and ground settlement, the aquifer parameters were estimated. The model outputs fit reasonably well with the observed results, which indicates that the numerical model can reproduce the dynamic processes of both groundwater flow and soil consolidation. The hydraulic conductivity of the third mud layer near the center of the ground settlement has been reduced by over 30% in the last 14 years. The gradual deterioration in the hydraulic conductivity of the mud may have significant adverse effect on the sustainable groundwater resource of the deep confined aquifer, since the recharge from the shallow aquifers through the mud layer is the only source of water to the deep aquifer. An analysis of the spatial distributions of groundwater drawdown and ground settlement shows that the area with maximum drawdown is not necessarily the area with maximum ground settlement due to the occurrence of the soft mud layer. A simple reallocation in pumping rates on the basis of the spatial distribution of the thick mud layer could significantly reduce the ground settlement. Electronic Publication     

Distribution and Geochemical Implication of Aromatic Hydrocarbons across the Meishan Permian-Triassic Boundary

INTRODUCTIONThe Permian-Triassic ( Tr/P) boundary , datedto be (251 .4±0 .3) Ma ago ,is marked by the mostdrastic mass extinction of organisms in the Phanero-zoic .In order to explore the pattern and the cause ofthe mass extinction,extensive research has been fo-cused on biostratigraphy , isotopic chronostratigra-phy , event stratigraphy , ecostratigraphy and se-quence stratigraphy (Payne et al .,2004 ; Reichowetal .,2002 ; Yin et al .,2001 ;Jin et al .,2000 ;Zhanget al .,1996 ,1995 ;…     

利用地震相识别优质烃源岩--以辽中凹陷沙三段为例

利用地震资料,在沙三段精细层位标定的基础上,进行辽中凹陷沙三段地震地层的追踪解释。根据优质烃源岩的定义及判识标准,即主要为一套富含有机质的中深湖相暗色泥岩沉积,识别出优质烃源岩地震相主要呈低频、连续、强反射特征。在地震相和沉积相分析的基础上,建立了辽中凹陷三个次洼优质烃源岩地震相-沉积相模式,并对辽中凹陷沙三段优质烃源岩进行了分布预测,研究表明辽中凹陷沙三段优质烃源岩在北洼分布范围较大,中洼次之,南洼分布最小;在辽中北洼,整个沙三段均有分布;在辽中凹陷中洼,优质烃源岩发育于沙三中亚段;在辽中凹陷南洼,主要发育于沙三段下部。     

东海陆架盆地南部中生界沉积模式

在沉积相综合分析基础之上,通过地震相分析的手段明确了东海陆架盆地南部中生界的沉积特征;结合古地理背景分析,建立了该区侏罗纪和白垩纪的沉积模式。侏罗纪时雁荡低凸起和瓯江凹陷均未形成,闽江凹陷和基隆凹陷连为一体,物源来自浙闽隆起区,发育滨浅海沉积体系,火山作用较为强烈。白垩纪晚期-古新世,随着太平洋板块俯冲角度的加大,浙闽隆起区发生裂陷,雁荡低凸起形成。西部的瓯江凹陷沉积了一套陆相的冲积扇-河流-三角洲-湖泊沉积体系;由于此间台北低凸起尚未起到分割作用,东部的闽江凹陷与基隆凹陷仍然连为一体,物源来自浙闽隆起带和台北水下火山岩带,发育滨浅海沉积体系,火山作用影响强烈。     

夏季西北干旱气候形成的数值模拟——高原地形和环流场等的影响

为了进一步检验和修改本文部分作者先前初步提出的影响夏季西北干旱气候形成的因子及如何相互作用形成西北干旱气候的物理图像,本文继续用一全球大气环流谱模式,设计了5组试验,利用ECMWF 的格点分析值资料,进行了数值模拟。结果表明,青藏高原隆升和环流差异是形成西北干旱气候的重要因子,已提出的西北干旱气候形成的物理图像大体是正确的。     

Carbon pools and fluxes in the China Seas and adjacent oceans

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.     

地震前兆复杂性成因机理研究的讨论（二）：地震前兆复杂性成因机理

针对前兆复杂性的种种表现,作从震源、构造应力场、断裂力学、前兆监测等方面探讨了前兆复杂性产生的可能原因。认为前兆复杂性是客观存在的,与共性一起构成前兆的二重性,因此在研究前兆时,既要研究共性,也要研究复杂性,才能更好地掌握或认识前兆。同时从复杂性中再寻求普遍性,进一步完善孕震理论和开发新的分析预报方法;造成前兆复杂性的根本原因是孕震的物理力学过程的复杂性,其中包括地质构造、孕震环境、动力学过程、     

Variation in the sediment deposition behind check‐dams under different soil erosion conditions on the Loess Plateau,China

To maintain a reasonable sediment regulation system in the middle reaches of the Yellow River, it is critical to determine the variation in sediment deposition behind check‐dams for different soil erosion conditions. Sediment samples were collected by using a drilling machine in the Fangta watershed of the loess hilly–gully region and the Manhonggou watershed of the weathered sandstone hilly–gully (pisha) region. On the basis of the check‐dam capacity curves, the soil bulk densities and the couplet thickness in these two small watersheds, the sediment yields were deduced at the watershed scale. The annual average sediment deposition rate in the Manhonggou watershed (702.0 mm/(km²·a)) from 1976 to 2009 was much higher than that in the Fangta watershed (171.6 mm/(km²·a)) from 1975 to 2013. The soil particle size distributions in these two small watersheds were generally centred on the silt and sand fractions, which were 42.4% and 50.7% in the Fangta watershed and 60.6% and 32.9% in the Manhonggou watershed, respectively. The annual sediment deposition yield exhibited a decreasing trend; the transition years were 1991 in the Fangta watershed and 1996 in the Manhonggou watershed (P < 0.05). In contrast, the annual average sediment deposition yield was much higher in the Manhonggou watershed (14011.1 t/(km²·a)) than in the Fangta watershed (3149.6 t/(km²·a)). In addition, the rainfalls that induced sediment deposition at the check‐dams were greater than 30 mm in the Fangta watershed and 20 mm in the Manhonggou watershed. The rainfall was not the main reason for the difference in the sediment yield between the two small watersheds. The conversion of farmland to forestland or grassland was the main reason for the decrease in the soil erosion in the Fangta watershed, while the weathered sandstone and bare land were the main factors driving the high sediment yield in the Manhonggou watershed. Knowledge of the sediment deposition process of check‐dams and the variation in the catchment sediment yield under different soil erosion conditions can serve as a basis for the implementation of improved soil erosion and sediment control strategies, particularly in semi‐arid hilly–gully regions. Copyright © 2018 John Wiley & Sons, Ltd.     

年最大日雨量极值分布拟合与推算

采用红河州12个站近48～58年的年最大日雨量资料,用PearsonⅢ型分布、耿贝尔分布、对数正态分布等3种概率分布模型分别进行了拟合,选择拟合最好的分布模型来估算最大给定重现期极值.结果表明:3种分布均能较好地拟合年最大日雨量的分布,在红河州12个站的拟合中,有7个站用耿贝尔分布,4个站用Pearson-Ⅲ分布,1个...