江苏及南黄海地区历史地震类型分布特征

通过对江苏地区及南黄海海域历史地震资料特点分析，将研究区历史地震类型分为相对安全类和相对危险类，并对地震类型的统计结果、地理分布特征及构造进行探讨. 结果表明:① 江苏及南黄海地区绝大多数中强以上历史地震类型为相对安全类，仅有13.8%的中强以上历史地震为相对危险类；② 江苏陆地、长江口以东海域和南黄海北部坳陷地区以相对安全类地震为主，苏中沿海南黄海海域地震类型分布较为复杂，相对安全类和相对危险类地震类型比例基本相当；③ 研究区历史地震类型统计结果和空间分布特征与现代地震序列类型实况非常吻合，反映本区地震活动具有继承性的特点.研究结果可以作为江苏省地震应急工作中震后早期趋势判定的参考依据.      

填埋场粘性土防渗层中强化微生物对垃圾污染物的净化作用

如何铺设价廉物关的防渗层,又不需对垃圾渗滤液进行处理,达到环保效果好、成本低的目的,是填埋场防渗衬垫铺设所追求的,但由于科学理论及技术条件的限制,这个目的一直没有达到。通过添加营养菌液强化厌氧微生物对污染物的净化作用,在实验室用土柱进行模拟实验及天然的土柱淋滤净化对比实验,研究了粘性土垫层土中添加营养菌液后,厌氧微生物对垃圾污染物的净化能力的变化,得出了加入厌氧微生物菌液后,可显著地提高微生物在土中对垃圾污染物的净化能力的结论。这为开发价廉物美的垃圾场防渗衬垫打开了思路,为有污染问题的垃圾场提供了一种用微生物治理的方法。     

冬小麦遥感冠层温度监测土壤含水量的试验研究

在冬小麦主要生育期(2002年4月初到5月底),对不灌溉的冬小麦测定了冠层温度、地温、气温以及土壤含水量,计算了冠气温差且分析了冠层温度和冠气温差与不同土层厚度的土壤含水量相关关系。结果表明:14:00的冠层温度能较好地反映20cm土层的土壤含水量变化,但与其它各土层相关性有较大的波动性;14:00的冠气温差能较好地反映40cm以上土层的土壤含水量变化,二者的相关性很高,在20cm、40cm土层,两者相关系数R2分别为0.98866、0.99389,这为用区域遥感数据反演主要生育期冬小麦的冠气温差进而监测区域40cm土壤含水量提供了实验性的依据;拔节期和灌浆期,用14:00冠气温差来拟合各土壤层的土壤含水量有较高的精度,从而为用区域遥感数据监测区域土壤含水量提供了经验性的模型。     

攀西地区特色生物资源综合开发与示范意义

在首次对特色生物资源的内涵科学界定的基础上,探讨了特色生物资源开发的理论基础及战略意义,重点介绍了国家“十五”重大科技攻关项目——“攀西地区特色生物资源综合开发与示范”项目的设计思路、研究内容及实施路线,对项目实施的社会、生态与经济效益进行分析,认为该项目为我国特色生物资源开发提供了一些可借鉴的经验。     

攀西地区特色水果的市场定位

攀西地区具有发展各类果树得天独厚的自然资源优势。根据攀西特色水果的特点和产业发展的条件,在大区域背景下,分析了攀西地区特色水果在国内市场的竞争优势,明确了攀西地区特色水果的市场定位:大力发展早熟枇杷、石榴和晚熟芒果及深加工,以品质的优良、上市时间的优势占领高端市场,把资源优势转化为产品优势和经济优势。在此基础上,提出了攀西地区特色水果发展中需要重视的问题。     

西南地区中药产业发展

本文总结西南地区中药产业发展现状,分析西南地区中药产业中药材、生产加工和研发能力上的竞争优势,提出西南地区中药产业的发展对策。     

利用地震属性研究准噶尔盆地西北缘拐19井区下侏罗统三工河组沉积环境

在准噶尔盆地西北缘，寻找岩性圈闭油气藏已是至关重要的问题。但人们几乎还是用常规的手段来寻找岩性油气藏，没有实质性进展。本文是以利用宽方位角采集的地震数据为基础，对数据进行高保真资料处理和参考标准层的层拉平解释。利用前人的区域地质研究成果和钻井解释成果对侏罗系的沉积环境进行了精细的描述，确定了拐19井区在下侏罗统三工河组的出油层段附近的沉积环境由湖泊相－三角洲前缘相－河流相－湖泊相的演化过程。利用地震属性解释的结果也能较好地反映目标区的沉积环境变迁，并且与区域地质、测井解释结果相吻合，为寻找油气提供了很好的依据。由此得出利用地震属性可以进行沉积环境变迁分析，为油田寻找岩性圈闭及油气藏做出贡献。     

地质微生物地球化学作用的意义与展望

概要论述了地质微生物学、地下水微生态学、微生物地球化学作用的基本概念、研究内容、研究现状、科学意义、关键问题、发展前景和在地下水环境保护中的作用。该研究领域不仅拓宽了整个地质科学的研究范畴,而且推动了地质科学的发展,具有一定的创新性。     

Ab initio molecular orbital calculations for boron isotope fractionations on boric acids and borates

Ab initio quantum chemistry calculations have been performed on the isotopic exchange reaction between B(OH)₃ and B(OH)₄⁻. Several calculation methods have been carefully compared and evaluated. The “water-droplet” method is chosen to investigate this isotope exchange reaction using cluster models with up to 34 water molecules surrounding the solute. HF/6-31G* level calculations coupled with a 0.920 scaling factor are used for the frequency calculations. A larger K value (1.027) is obtained from this study compared to the commonly used 1.0194 (Kakihana et al., 1977).The fractionations for several boric acid polymers and boron minerals are also studied. Our results suggest that assuming the BO₄ bonding in B(OH)₄⁻ is identical to that in borosilicates is wrong. Tetrahedral boron in silicates has a significantly smaller reduced isotopic partition function ratio (RPFR) and hence will be much isotopically lighter than in B(OH)₄⁻.The new theoretical curve of pH vs. δ¹¹B composition of B(OH)₄⁻ using our calculated 1.027 can be used to predict pH values for equilibrium cases such as incorporation into inorganic calcite. We also find that the shape of this curve is very sensitive to both K and pK_a value, giving the possibility of also predicting salinity from the different shapes of the curve.     

Development of a soil moisture‐based distributed hydrologic model for determining hydrologically based critical source areas

A simple grid cell‐based distributed hydrologic model was developed to provide spatial information on hydrologic components for determining hydrologically based critical source areas. The model represents the critical process (soil moisture variation) to run‐off generation accounting for both local and global water balance. In this way, it simulates both infiltration excess run‐off and saturation excess run‐off. The model was tested by multisite and multivariable evaluation on the 50‐km² Little River Experimental Watershed I in Georgia, U.S. and 2 smaller nested subwatersheds. Water balance, hydrograph, and soil moisture were simulated and compared to observed data. For streamflow calibration, the daily Nash‐Sutcliffe coefficient was 0.78 at the watershed outlet and 0.56 and 0.75 at the 2 nested subwatersheds. For the validation period, the Nash‐Sutcliffe coefficients were 0.79 at the watershed outlet and 0.85 and 0.83 at the 2 subwatersheds. The per cent bias was less than 15% for all sites. For soil moisture, the model also predicted the rising and declining trends at 4 of the 5 measurement sites. The spatial distribution of surface run‐off simulated by the model was mainly controlled by local characteristics (precipitation, soil properties, and land cover) on dry days and by global watershed characteristics (relative position within the watershed and hydrologic connectivity) on wet days when saturation excess run‐off was simulated. The spatial details of run‐off generation and travel time along flow paths provided by the model are helpful for watershed managers to further identify critical source areas of non‐point source pollution and develop best management practices.