Geothermal potential evaluation and development prioritization based on geochemistry of geothermal waters from Kangding area,western Sichuan,China

Kangding geothermal area is located in the western Sichuan, belonging to southeastern margin of Tibetan Plateau. Similar to world-renowned south Tibetan and western Yunnan geothermal belt, western Sichuan has intensive surface thermal manifestations including boiling and hot springs. The emerging temperature of thermal waters ranges from 47 to 79 °C with total dissolved solids lying between 899 and 2550 mg/L. δ²H–δ¹⁸O isotopes indicate a meteoric source for the thermal waters and a significant positive oxygen-18 shift in the southern region. It is suggested that southern thermal waters experienced stronger water–rock interaction and are closer to thermodynamic equilibrium, which is also proved by the water type classification. The reservoir temperature calculated by empirical and theoretical chemical thermometry is 180–225 °C for the north and 225–310 °C for the south. Evidences of hydrogeochemistry, stable isotopes, geothermometry and radiocarbon dating indicate that southern region of Kangding area shows greater geothermal potential than the northern region. In addition, based on the hydrogeochemical modeling of mineral saturation, underlying problem of scaling is likely to occur in the study area. According to the results of reservoir temperature, south Kangding sub-district has greater potential in geothermal power generation and development than northern Kangding. Therefore, further exploration and drilling work should give priority to the south Kangding area.     

Structural damage detection using the optimal weights of the approximating artificial neural networks

This work presents a novel neural network‐based approach to detect structural damage. The proposed approach comprises two steps. The first step, system identification, involves using neural system identification networks (NSINs) to identify the undamaged and damaged states of a structural system. The partial derivatives of the outputs with respect to the inputs of the NSIN, which identifies the system in a certain undamaged or damaged state, have a negligible variation with different system errors. This loosely defined unique property enables these partial derivatives to quantitatively indicate system damage from the model parameters. The second step, structural damage detection, involves using the neural damage detection network (NDDN) to detect the location and extent of the structural damage. The input to the NDDN is taken as the aforementioned partial derivatives of NSIN, and the output of the NDDN identifies the damage level for each member in the structure. Moreover, SDOF and MDOF examples are presented to demonstrate the feasibility of using the proposed method for damage detection of linear structures. Copyright © 2001 John Wiley & Sons, Ltd.     

静力平衡近似下大气中非线性对称运动的稳定性、分岔和突变

本文在考虑基本气流具有非线性切变情况下,导出了对称运动所满足的非线性常微分方程,并用非线性系统的稳定、分岔、突变理论,严格地讨论了非线性对称运动的稳定性、分岔和突变问题,获得了一个推广的对称不稳定判据,找到了突变产生的条件。     

电涌保护器的简易检测方法

根据电涌保护器特点,对电涌保护器的二种简易的检测方法(外观检查和参数测试)进行分析,提出了易于操作的检测方法,供广大防雷检测人员借鉴.     

FIRST TRANSITION OF THE CIRCULATIONS IN ASIA AROUND MID－MAY FROM 7－YEAR MEAN ECMWF DATA

The time evolution of the general circulation over the South China Sea and surrounding areas during the period from April to June is studied using ECMWF data of 1980-1986. The first transition from the second (6-10 May ) to the third (11-15 May ) pentads is characterized by the distinct change of low-level (850 hpa ) winds from southeasterlies to southwesterlies along 15°N over the South China Sea, and by the sudden movement of the center of South Asian high in the upper troposphere (200 hpa ) from 10-15°N to 15-20°N over Southeast Asia. Corresponding to the abrupt change in circulations, the gradients of the temperature and humidity intensity along latitudes center on 30°N over East Asia at 850 hpa. The time sequence of the 850- 200 hpa layer thickness shows that the layer-mean temperature over the southeastern Tibetan Plateau-East China Plain region increases abruptly at the same time. The corresponding sudden increase of the vertically integrated heat source over the warming areas reveals that the heat source plays an evident role in the drastic changes. The time series of over the northern part of the South China Sea shows that the drastic increase of the areamean is also found but it is 5-10 days late than the change of corresponding wind fields. The time series of Xisha SST shows a continuous increase to about 29. 5°until May 10 when the abrupt changes in circulation occur.     

The Geochemical Significance of Deep-water Coral and Their Food Source

Deep-sea corals live in the dark cold-water environments, the food of which that provides them with energy and nutrition is a key ecological and biogeochemical problem. Currently, the most common understanding is that their food mainly comes from organic matter produced by and deposited from surface seawater. However, more and more studies have found that they can also obtain food supply through symbiosis with a variety of chemosynthetic autotrophs and heterotrophs. Carbon and nitrogen isotopes have been used to trace and reveal the food sources of deep-sea corals. They also have been successfully used to reconstruct the phytoplankton community structure and the changes of nitrate isotopes in surface seawater in the past, thus providing valuable biogeochemical data for paleoceanographic study. However, due to the widespread existence of symbiosis with chemosynthetic autotrophs, further studies are needed to assess the reliability of organic carbon and nitrogen isotopes of deep-sea corals to reflect changes in the surface seawater. The deep-sea gorgonian coral, like those gorgonian forests recently found in the South China Sea, is relatively new and insufficiently studied in the field of deep-sea corals. Thus, basic biochemical and paleoceanographic researches on the South China Sea deep-water gorgonians will provide profound and novel insights to understanding the cold-water coral system.     

丹霞山国家珍稀濒危保护植物丹霞梧桐空间分布的微地貌环境特征研究

以广东丹霞山狮子岩—阳元山景区为研究地,以国家珍稀濒危保护植物丹霞梧桐(Firmiana danxiaensis)的空间分布为研究内容,通过实地考察获取其空间分布的数据（经纬度、海拔、坡度和坡向等）,利用ArcGIS10.0在精度为1 m的DEM地形数据上进行空间分析,总结丹霞梧桐空间分布的微地貌环境特征。研究发现：① 研究区丹霞梧桐主要分布在海拔180 m等高线穿过坡度60o附近的土壤比较贫瘠的垂直节理或水平层理比较发育的崖壁上,并与圆叶小石积(Osteomeles subrotunda)、忽地笑(Lycoris aurea)、卷柏(Selaginella tamariscina)等植物伴生,属于比较耐旱的崖壁植物;② 丹霞梧桐的空间分布不受坡向因素的严格制约,坡度和海拔是影响丹霞梧桐分布的2个重要因素。根据以上分布规律,可以推测180 m等高线穿过坡度60o地带的丹霞山其他崖壁地带,亦可能会有丹霞梧桐的分布,并建议在目前已经发现丹霞梧桐分布比较集中的狮子岩东南坡,设立国家珍稀濒危保护植物丹霞梧桐重点保护带。     

气候变暖的归因研究

气候变暖的成因是目前国际上的一个争议焦点,代表国际主流思想的4次IPCC评估报告[1-4]认为是人类活动的影响造成了变暖,其中包括温室效应加剧使气候变暖,而气溶胶的直接和间接影响则抵消了一部分变暖.但是,从20世纪末至今对气候变暖持怀疑观点的科学家,仍然不断对气候变暖的原因提出质疑[5 7].所以气候变暧的归因研究仍然是国际上的热门问题.     

基于雷达资料的定量降水预报外推算法试验

摘要：目前贵州在短时临近降水预报客观算法方面研究匮乏,而短时强降水常常给贵州造成严重的洪涝灾害和地质灾害。将短时临近降水预报应用于气象防灾减灾、电网输电线路安全预警、水利防洪自动化方面是未来重要的研究应用方向。本文基于灾害天气短时临近系统（Severe Weather Automatic Nowcast System,SWAN）的定量降水预报(QPF)产品进行0～2小时QPF外推试验研究。利用贵州省地面自动站数据、SWAN 输出的1h-QPF产品、SWAN 1h定量降水估测(QPE)产品。选取2018年3次典型暴雨个例进行试验,采用融合订正技术,利用相似离度算法对降水强度位相进行调整、Weibull分布算法对降水极值分布进行订正、改进后的交叉相关法(Improved Cross-correlation Extrapolation Method,COTREC)进行降水外推预报。通过主客观检验对比,初步说明基于Weibull分布算法的降水极值订正对降水极值分布有很好的模拟效果。融合订正外推的贵州省短时临近定量降水预报产品（Nowcasting precipitation forecast of GuiZhou,下文简写为GZ_NPF）在大于5mm以上量级降水的TS检验中评分更高。GZ_NPF的空报率明显降低,但空报率降低的代价是漏报率相对提高。GZ_NPF总的相对误差减小,格点总降水量与实况总降水量更为接近。试验说明新的融合订正外推算法提高了0～2h短时临近降水的预报能力。