2001-2002年天目湖(沙河水库)浮游植物的生态学研究

2001年6月~2002年5月,对天目湖进行的浮游植物周年调查表明,天目湖共有浮游植物7门75属,其中年平均丰度为5026.20×104个/L,以蓝藻为主,占总丰度的54.45%;而年平均生物量为(15.364±9.103)mg/L,其中硅藻居首位,为6.634 mg/L,占浮游植物年平均生物量的43.18%;其周年变化是丰度和生物量最高值均出现在5月,丰度在5月和9月出现2个峰值,而生物量则在5、7、10月出现3个峰值。浮游植物丰度从大坝处1#点到河流入湖口的9#、10#点变化不明显但略有增加,而生物量则呈明显增加。通过对水温、透明度、营养盐与浮游植物丰度和生物量的线性回归分析发现,浮游植物丰度、生物量与水温、TP存在显著的正相关,而与N/P比、透明度存在显著性负相关,与TN相关性不是很明显。     

Modeling pollutant migration in the Upper Palar River Basin, Tamil Nadu, India

 Palar River Basin, a crystalline rock region in North Arcot District (Tamil Nadu), India, possesses vast groundwater potential along and near the river course and its lands are fertile. Serious contamination of both surface water and groundwater has been reported in this basin as a result of uncontrolled discharge of untreated effluents by the tanning industries for the last three decades. The health of the rural farming community and people working in the tanning industries has been seriously affected and they are suffering from occupational diseases such as asthma, chromium ulcers and skin diseases. About an 11000 hectares area of fertile land has lost its fertility. Total dissolved solids (TDS) concentration in groundwater at some pockets varies from 3000 to 10000 mg/l. As the discharge of effluents is continuing, a prognosis of further pollutant migration is carried out using a mathematical model. A numerical model of the Upper Palar River Basin was developed using the finite difference technique coupled with method of characteristics and used to predict TDS migration for the next 20 years. Sensitivity analysis was carried out to identify the parameters which are influencing the contaminant migration. Sensitivity analysis shows that advection and not dispersion is the predominant mode of solute migration in Palar Basin. Prognosis using the model confirms that the polluted area zone as well as the concentration of pollutants in the groundwater will continue to increase in future. The study also indicated that even if the pollutant sources are reduced to 25% of the present level, the TDS concentration level in the groundwater, even after 20 years, will not be reduced below 50% of its 1992 level. Received: 20 June 1998 · Accepted: 26 October 1998     

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基于CODE GIM的震前电离层TEC异常分析

利用CODE GIM数据分析了2008年5月12日汶川地震和2010年4月14日青海玉树地震震前电离层TEC变化。以震前10天TEC中位数为基准,1.5倍标准差为误差限值,并考虑相应时期的太阳和地磁活动水平（Dst指数和Kp指数）,对震前电离层异常的分布进行了分析。结果表明,两次地震震前几天内都有TEC异常出现。     

天顶对流层延迟计算方法研究

依据精密单点定位（PPP）原理编写天顶对流层延迟估计程序,分别利用所编程序和GAMIT软件进行实测数据解算,将所得数据与IGS网站提供数据进行对比分析,结果显示PPP与双差法估计对流层延迟都有较高精度;但在双差法解算过程中发现,无远距离测站参与解算会影响对流层延迟估计的精度。     

谷氨酰胺二肽对日本对虾血清生化指标、肝胰腺细胞凋亡及肠粘膜形态的影响

采用饲养对比试验方法,研究了谷氨酰胺二肽（Gin二肽）对日本对虾血清生化指标、肝胰腺细胞凋亡和肠绒毛的影响及对虾体健康的作用。结果表明,饲喂Gin二肽各组的PO、LSZ、ACP含量均显著（P〈0．05）高于对照组,添加0.5％和1．0％Gin二肽组的SOD和ALP含量也显著（P〈0．05）高于对照组：添加1．0％Gin二肽的TP含量显著（P〈0．05）高于其它各组。血清TP、PA、UN、CHO、PO、LSZ、SOD、ALP、ACP和LDH等各项指标均随Gin二肽添加量的提高而呈现增加趋势。试验建立了流式细胞术检测对虾肝胰腺细胞凋亡率的方法;肝胰腺细胞凋亡率随着日粮Gin二肽添加量的增加而显著降低（P〈0．05）。肠道切片显微观测结果表明,添加1．0％的Gin二肽能显著增加日本对虾肠绒毛高度（P〈0．05）。饲料中添加Gin二肽可显著提高日本对虾血清中的溶菌酶、抗氧化酶及磷酸酶活性,降低肝胰腺细胞凋亡率,增加肠绒毛高度,改善虾体健康状况。     

铁炉子断裂带侧旁地质体的构造解析及找矿方向研究

本文以构造变形为主线,将沿铁炉子断裂带侧旁的地质体划分为不同的构造均匀区段。解析了不同区段内的变形特征,总结了包括矿体就位方式和后期改造在内的综合地质事件演化序列。指出了铅锌矿的找矿方向及其它金属矿产的找矿线索。     

The North Cape oil spill: hydrocarbons in Rhode Island coastal waters and Point Judith Pond.

On 19 January 1996, the North Cape oil barge ran aground near Moonstone Beach, RI, and spilled over 2700 metric tons of No. 2 fuel oil during a severe winter storm. High winds and rough seas drove the oil into the water column, and the oil spread throughout Block Island Sound and into several coastal salt ponds. Over 50 water samples were collected from Point Judith Pond (PJP) and the southern coast of Rhode Island for four months after the spill and analyzed for polycyclic aromatic hydrocarbons (PAHs) and total petroleum hydrocarbons (TPHs). These analyses revealed that at least 60 km2 of coastal waters were impacted from the spill. Maximum concentrations of sigmaPAHs and TPHs were 115 and 3940 microg l(-1), respectively. The percentage of sigmaPAHs relative to the TPHs for all samples varied from 0.2 to 43%, showing that there was no clear relationship between sigmaPAHs and TPHs for the whole dataset and likely resulting from spatial and temporal partitioning over the course of the spill. However, within the dataset, there were stronger correlations for distinct samples collected at similar locations and times. In PJP, water column concentrations of individual PAHs decreased at rates of 0.08-0.24 day(-1) and lower-molecular weight PAHs were removed faster than higher-molecular weight PAHs.     

Ecosystem-based marine spatial management: Review of concepts, policies, tools, and critical issues

Conventional sectoral management and piecemeal governance are considered less and less appropriate in pursuit of sustainable development. Ecosystem based marine spatial management (EB-MSM) is an approach that recognizes the full array of interactions within an ecosystem, including human uses, rather than considering single issues, species, or ecosystem services in isolation. Marine spatial planning and ocean zoning are emerging concepts that can support EB-MSM. EB-MSM is driven by high-level goals that managers aim to achieve through the implementation of measures. High-level goals and objectives need to be translated into more operational objectives before specific targets, limits and measures can be elaborated.Monitoring, evaluation and adaptation are necessary to ensure that marine management measures are both effective and efficient. Solid monitoring frameworks are the foundation of adaptive management, as they provide the necessary information to evaluate performance and the effectiveness of management actions. Marine protected areas (MPAs) - possibly set up in networks - constitute a key component in EB-MSM policies and practises and have been applied as a cornerstone in conservation of marine biodiversity, management of fish populations, development of coastal tourism, etc. Moreover, MPA experiences have provided methods and concepts (such as zoning) to a wider EB-MSM context. The assignment of values to biophysical features of the marine environment allows the direct assessment of related management choices and may assist EB-MSM.A range of monetary valuation techniques have been proposed to reduce attributes of goods and services to a single metric. However, in the marine environment such an approach is often over simplistic, and thus less reductive techniques may be necessary. Rather than producing a single metric, the results of non-monetary assessments guide policy allowing weight to be given as necessary to potential areas of conflict and consensus.Strategies to take into account climate change effects and geohazard risks in EB-MSM have been applied or proposed worldwide. EB-MSM regimes must be alert to such risks and flexible to account for changes.     

Mineral carbon MinC(%) from Rock-Eval analysis as a reliable and cost-effective measurement of carbonate contents in shale source and reservoir rocks

The abundance of carbonate minerals in rocks is an important element for petroleum geochemists, geologists and engineers to consider during hydrocarbon exploration and production. Carbonate minerals can be related to the depositional environments of the source rocks and hence the type of organic matter that can be subsequently modified through diagenetic processes. The total carbonate content in shales can also be used to deduce their fracability as reservoir rock for shale gas/oil extraction. At present, mineralogical analysis by X-ray diffraction (XRD) is the most widely used technique in the oil and gas-related petrophysical and geochemical laboratories for identifying and quantifying carbonate minerals in rock samples. In contrast, the use of the total mineral carbon content parameter MinC (%) from Rock-Eval analysis has been limited despite (1) the parameter's effectiveness as demonstrated through instrument and methodology development; and (2) the presence of a large volume of Rock-Eval results due to its widespread use in the oil and gas industry.In this study, we acquired XRD and Rock-Eval analytical results on over nine hundred rock samples ranging from Ordovician to Cretaceous age from four petroleum sedimentary basins in Canada. Least-squares regression analyses produce empirical equations with R² values greater than 0.92 for the correlations between XRD total carbonate contents and the Rock-Eval MinC (%) values of six different suites of samples. This indicates that the MinC (%) values generated by Rock-Eval 6 and other instruments of similar capability can be used with confidence for estimating the amounts of total carbonates in sedimentary rock samples. While the correlation between the two types of carbonate content measurements is geology-specific, a global linear regression model (R² of 0.97) based on the large combined data set has been proposed for approximating the total carbonate abundances based on Rock-Eval MinC (%) values.