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81.
不均匀植被分布对地表面和大气边界层影响的数值试验   总被引:9,自引:0,他引:9  
季劲钧  苗曼倩 《大气科学》1994,18(3):293-302
研究陆地与大气间相互作用的方法之一是建立联系地表面层与大气间各种过程的数值模式进行模拟。本文是建立一个陆面过程与二维大气边界层相耦合的模式,耦合模式中包含了发生在大气边界层、植被冠层和土壤表层各种动力、热力和水文过程。运用这一模式模拟了荒漠环境中一片绿洲的不均匀地表面形成的局地气候。由于绿洲植被与周围荒漠有着显著不同的水份与能量平衡关系,使绿洲表面与边界层较四周荒漠冷而湿,并形成了相应的局地环流,即所谓“绿洲效应”。试验结果表明,模拟的气候状况与观测现象是一致的。模式可以用于陆气相互作用的研究。  相似文献   
82.
鉴于目前地震学综合定量预报指标的缺乏和预报工作的急需,尝试使用“对比筛选法(简称CSM方法)”进行地震学定量预报指标的提取试验。较之以往作法的进展在于:1.同时使用“有震”和“无震”两类样本对比筛选;2.对不同地区的地震学参数进行了归一化处理。这样做的显著优点是:1.可以较有效地提取“有震异常”和“正常变化”指标;2.提取的异常和预报指标具有定量化和普适性特点。 试验研究使用大华北地震区资料,研究对象取中强地震。经内符和外推检验,证明该方法提取的异常和预报指标有效性和实用性较高。  相似文献   
83.
新疆第三次荒漠化监测中的问题及其建议   总被引:4,自引:1,他引:4  
回顾了新疆3次在荒漠化监测中所进行的荒漠化监测与评价指标体系的建立,也是新疆开展荒漠化监测的基础;介绍了以遥感与地理信息为主要技术的荒漠化监测评价的方法;阐述了新疆第三次荒漠化监测中存在的问题。指出目前新疆荒漠化评价存在的主要问题是评价指标的不确定性、评价指标体系的难操作性和遥感数据源选用的随机性,进而对上述问题的解决途径进行了讨论。  相似文献   
84.
采用SPSS软件,对2003年01月至2004年12月期间,倒天河水库和利民水库逐月水质监测数据进行数理统计分析,结果表明毕节市饮用水水质污染有较明显的季节变化和空间差异;且不同污染物对水体污染的贡献率各不相同,总磷和粪大肠菌群所占份额最大,方差累积贡献率达77%。在此基础上,利用加权综合污染指数对水体水质污染现状进行综合评价,结果显示倒天河水库和利民水库,水质污染总体较轻.饮用水水质符合《地表水环境质量标准(GB3838—2002)》中Ⅲ类水质标准;最后提出加大水环境保护的建议。  相似文献   
85.
 红砂是黄土高原荒漠植被带主要建群植物种之一,在植被恢复重建和生态建设中具有重要意义。本文以皋兰县40 a天然植被封育区为例,运用树木年轮学方法,对不同坡向红砂与当地水热条件变化的时空响应及分布格局进行了研究。研究结果表明,红砂具有明显的年轮特征,可以进行树木年轮方面的研究。虽然不同坡向水分条件和植被状况有很大差异,但红砂径向生长对区域水热变化具有非常一致的响应模式:同生长季降水呈正相关关系,尤以7月降水量最为显著;同生长季气温呈负相关关系,以6月最为显著。根据不同坡向红砂年龄分布格局分析结果,并考虑到水土流失的防治效果,黄土高原西部荒漠植被带的封育期限不宜少于10 a。  相似文献   
86.
松嫩平原西部沼泽湿地景观格局动态变化研究   总被引:7,自引:2,他引:7  
湿地退化及其所带来的负面影响使人们认识到湿地生态系统生态功能的重要性.因此,作为功能研究基础的景观格局及其动态变化的研究显得尤为重要.在遥感和地理信息系统技术支持下,运用土地利用变化指数和景观格局指数模型,对处于生态脆弱区的松嫩平原西部沼泽湿地景观格局及动态变化进行了定量研究,结果表明:松嫩平原西部沼泽景观格局发生了显著变化.松嫩平原西部现有沼泽湿地面积4 488.13 km2,近50年来减少了62.54%;2000年斑块密度为1954年的1.67倍,且最大斑块面积和最大斑块周长均减小,说明沼泽景观破碎化严重;松嫩平原西部沼泽湿地分布质心发生偏移,近50年,向西北方向偏移了19.4 km,主轴方向顺时针旋转了9.23o,表明了沼泽湿地景观具有破碎化和萎缩的趋势,并且呈现出不平衡性:湿地的萎缩程度偏重于研究区的东南部;得出松嫩平原西部沼泽湿地减少及生态环境恶化主要是由该区生态环境原生脆弱性和人类不合理的开发利用方式导致的.通过景观格局变化的研究为沼泽湿地格局优化和生物保护提供参考.  相似文献   
87.
A worldwide data set of more than 500 humic coals from the major coal-forming geological periods has been used to analyse the evolution in the remaining (Hydrogen Index, HI) and total (Quality Index, QI) generation potentials with increasing thermal maturity and the ‘effective oil window’ (‘oil expulsion window’). All samples describe HI and QI bands that are broad at low maturities and that gradually narrow with increasing maturity. The oil generation potential is completely exhausted at a vitrinite reflectance of 2.0–2.2%Ro or Tmax of 500–510 °C. The initial large variation in the generation potential is related to the original depositional conditions, particularly the degree of marine influence and the formation of hydrogen-enriched vitrinite, as suggested by increased sulphur and hydrogen contents. During initial thermal maturation the HI increases to a maximum value, HImax. Similarly, QI increases to a maximum value, QImax. This increase in HI and QI is related to the formation of an additional generation potential in the coal structure. The decline in QI with further maturation is indicating onset of initial oil expulsion, which precedes efficient expulsion. Liquid petroleum generation from humic coals is thus a complex, three-phase process: (i) onset of petroleum generation, (ii) petroleum build-up in the coal, and (iii) initial oil expulsion followed by efficient oil expulsion (corresponding to the effective oil window). Efficient oil expulsion is indicated by a decline in the Bitumen Index (BI) when plotted against vitrinite reflectance or Tmax. This means that in humic coals the vitrinite reflectance or Tmax values at which onset of petroleum generation occurs cannot be used to establish the start of the effective oil window. The start of the effective oil window occurs within the vitrinite reflectance range 0.85–1.05%Ro or Tmax range 440–455 °C and the oil window extends to 1.5–2.0%Ro or 470–510 °C. For general use, an effective oil window is proposed to occur from 0.85 to 1.7%Ro or from 440 to 490 °C. Specific ranges for HImax and the effective oil window can be defined for Cenozoic, Jurassic, Permian, and Carboniferous coals. Cenozoic coals reach the highest HImax values (220–370 mg HC/g TOC), and for the most oil-prone Cenozoic coals the effective oil window may possibly range from 0.65 to 2.0%Ro or 430 to 510 °C. In contrast, the most oil-prone Jurassic, Permian and Carboniferous coals reach the expulsion threshold at a vitrinite reflectance of 0.85–0.9%Ro or Tmax of 440–445 °C.  相似文献   
88.
良好植被区泥石流防治初探   总被引:10,自引:0,他引:10  
陈晓清  崔鹏  韦方强 《山地学报》2006,24(3):333-339
通过对近年来发生在良好植被区的几次重大泥石流、滑坡灾害的考察,发现植被在泥石流、滑坡形成中的作用有待于进一步认识。通过分析,当中小强度降雨激发下,植被能够削减泥石流、滑坡灾害的规模,甚至抑制泥石流、滑坡灾害的发生;当降雨超过一定阀值后,在水作用下,植被不但不能削减灾害规模,反而增大灾害的规模。在这类地区,简单地使用一般的防治措施,已经不能满足防灾、减灾的需要,客观要求针对这些地区泥石流灾害的形成原因、危害特征,研究防治对策。经初步研究提出3点防治措施:1)加强泥石流滑坡灾害的预测预报工作;2)在重点区域设置自动雨量记录报警装置;3)特别针对漂木拦挡,采取新型结构减轻泥石流的危害。  相似文献   
89.
Dissolved organic matter (DOM) is an important chemical component in natural water. Chromophoric dissolved organic matter (CDOM), a fraction of optical properties, plays art important role in the biogeochemical cycle of nutrients in aquatic environment. People realized that DOM cycle is crucial in the global carbon and nitrogen flux, and also is inherently related to nutrients and trace metal elements. Therefore, CDOM was concerned by scientists in global oceanography and limnology fields. Water samples were collected from three sections (North Channel, South Channel and Zhuyuan) of the Yangtze (Changjiang River) estuary in March 2006 Three-dimensional excitation emission matrix (3-DEEM) fluorescence spectra were analyzed for those filtrates through Whatman GF/F filters. Dissolved organic carbon (DOC) was also measured by TOC analyzer. The tidal variety was also taken into account. The 3-D EEM fluorescence scans suggested the fluorescence characteristics of humic acid (Ex=332-344 nm, Em=439-451 nm) and fulvic acid (Ex=250-254 nm, Em=472-478 nm) were obvious, and the fluorescence group of protein-like and tyrosine (Ex=230 nm, Em=283 nm) was also found. They are mainly composed of CDOM in the Yangtze estuary. Further data analysis, especially the fluorescence index (f 450/500), showed that terrestrial signal was rather strong (1.41-1.65) in the surface water, however, some terrestrial CDOM signals of bottom water showed excursions (1.28-1.39). On the other hand, anthropogenic sign was impressed in the waters of Zhuyuan, which is one of the main drain outlets of Shanghai Metropolis. DOC concentrations ranged from 2.2 mg/L to 3.4 mg/L in Zhuyuan and South Channel, and from 2.0 mg/L to 2.4 mg/L in North Channel. The tide effect played a role in the composition of the CDOM measured by 3-D fluorescence scan technology.  相似文献   
90.
Heavy metal distribution patterns in river sediments aid in understanding the exogenic cycling of elements as well as in assessing the effect of anthropogenic influences. In India, the Subernarekha river flows over the Precambrian terrain of the Singhbhum craton in eastern India. The rocks are of an iron ore series and the primary rock types are schist and quartzite. One main tributary, the Kharkhai, flows through granite rocks and subsequently flows through the schist and quartzite layers. The Subernarekha flows through the East Singhbhum district, which is one of India’s industrialised areas known for ore mining, steel production, power generation, cement production and other related activities. Freshly deposited river sediments were collected upstream and downstream the industrial zone. Samples were collected from four locations and analysed in <63-μm sediment fraction for heavy metals including Zn, Pb, Cd and Cu by anodic stripping voltammetry. Enrichment of these elements over and above the local natural concentration level has been calculated and reported. Sediments of the present study are classified by Muller’s geo-accumulation index (I geo) and vary from element to element and with climatic seasons. During pre-monsoon period the maximum I geo value for Zn is moderately to highly polluted and for Cu and Pb is moderately polluted, respectively, based on the Muller’s standard. Anthropogenic, lithogenic or cumulative effects of both components are the main reasons for such variations in I geo values. The basic igneous rock layer through which the river flows or a seasonal rivulet that joins with the main river may be the primary source for lithogenic components.  相似文献   
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