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131.
132.
中国水灾社会脆弱性评估方法的改进与应用--以长沙地区为例 总被引:17,自引:2,他引:17
中国是洪水灾害发生频繁的国家之一,研究水灾脆弱性对中国的灾害风险管理有重要的意义.但是,合理评估脆弱性尤其是社会脆弱性却面临着极大的挑战.论文对评估社会脆弱性指数的研究现状进行了分析,指出了传统评估方法存在的问题,并尝试改进Hoovering评估模式.选择湘江流域的长沙地区为研究区,应用改进模型对研究区进行了社会脆弱性指数的评估.结果表明,长沙地区社会脆弱性从1980年至2000年基本处于下降趋势,但是在2002年和2003年增长迅速.2003年,长沙5区4县中社会脆弱性指数最大的是开福区,其次是长沙县,而宁乡县的社会脆弱性指数最低. 相似文献
133.
Rai S. Kookana Raymond L. Correll Rosalind B. Miller 《Water, Air, & Soil Pollution: Focus》2005,5(1-2):45-65
Pesticide users, natural resource managers, regulators, government agencies and many others are concerned about the off-site
impact of pesticides on the environment. Systematic methods of the assessment of potential risk of pesticides to environmental
components can serve as valuable tools in decision making and policy formulation. Simple risk indicators have been developed
which cover a range of scenarios such as toxicity to organisms, health of farm workers, consumer health, and residues in harvested
produce. The authors have developed a software package named Pesticide Impact Rating Index (PIRI) that outputs an improved
pesticide risk indicator for water quality. PIRI is a standalone, user-friendly, platform-independent program. It can be used
to (i) rank pesticides in terms of their relative pollution potential to groundwater or surface water, and (ii) to compare
different land uses in a catchment or at a regional scale in terms of their relative impact on water quality. It is based
on pesticides use; the pathway through which the pesticides are released to the water resources (drift, runoff, erosion, leaching)
and the value of the water resources threatened. Each component is quantified using pesticide characteristics (including toxicity
to organisms at different trophic levels, i.e. fish, daphnia, algae, etc.), environmental and site conditions (e.g. organic
carbon content of soil, water input, slope of land, soil loss, recharge rate, depth of water table, etc.). This paper describes
two case studies of the application of PIRI in Australia. The comparison of the risk assessment by PIRI on these revealed
that PIRI correctly estimated the pollution potential of pesticides in greater than 80% of cases. A GIS version of PIRI is
described in a companion paper in this volume.
An erratum to this article is available at . 相似文献
134.
135.
136.
Summary The balance of evidence suggests a perceptible human influence on global ecosystems. Human activities are affecting the global
ecosystem, some directly and some indirectly. If researchers could clarify the extent to which specific human activities affect
global ecosystems, they would be in a much better position to suggest strategies for mitigating against the worst disturbances.
Sophisticated statistical analysis can help in interpreting the influence of specific human activities on global ecosystems
more carefully. This study aims at identifying significant or influential human activities (i.e. factors) on CO2 emissions using statistical analyses. The study was conducted for two cases: (i) developed countries and (ii) developing
countries. In developed countries, this study identified three influential human activities for CO2 emissions: (i) combustion of fossil fuels, (ii) population pressure on natural and terrestrial ecosystems, and (iii) land
use change. In developing countries, the significant human activities causing an upsurge of CO2 emissions are: (i) combustion of fossil fuels, (ii) terrestrial ecosystem strength and (iii) land use change. Among these
factors, combustion of fossil fuels is the most influential human activity for CO2 emissions both in developed and developing countries. Regression analysis based on the factor scores indicated that combustion
of fossil fuels has significant positive influence on CO2 emissions in both developed and developing countries. Terrestrial ecosystem strength has a significant negative influence
on CO2 emissions. Land use change and CO2 emissions are positively related, although regression analysis showed that the influence of land use change on CO2 emissions was still insignificant. It is anticipated, from the findings of this study, that CO2 emissions can be reduced by reducing fossil-fuel consumption and switching to alternative energy sources, preserving exiting
forests, planting trees on abandoned and degraded forest lands, or by planting trees by social/agroforestry on agricultural
lands. 相似文献
137.
矿山企业生产系统复杂、生产环节多、地质条件复杂多变、生产条件较为恶劣,要求其不断提高自身的应急管理水平和应急响应能力。本文首先对矿山生产事故的特性进行了分析,划分了人的不安全行为的类型,在此基础上建立了矿井事故致因模型,对事故情况下人员的行为特点、矿工的行为与井下应急场所的关系进行了深入探讨。最后,从安全管理和矿山救护队伍建设两个方面提出了控制矿山事故风险的对策。 相似文献
138.
M. A. Aravindh 《International Journal of Green Energy》2016,13(12):1209-1223
This paper outlines a complete review on modifications made on the absorber plate of solar air heaters in order to improve the turbulence and heat transfer rate, thereby efficiency. Corrugated sheets, fins, extended surfaces, wire mesh, porous medium, etc., are a few of the modifications used. Most of such alterations in the absorber plate resulted with an increase in efficiency but associated with drawback of increased pumping power due to raising friction factor. Pumping power is considered here as a predominant comparison parameters of various solar air heaters with different absorber plate in terms of effective efficiency. 相似文献
139.
制革废水和印染废水的综合毒性评估及鉴别 总被引:3,自引:3,他引:0
研究采用成组生物毒性试验(发光菌急性毒性、斑马鱼幼鱼急性毒性,斑马鱼胚胎发育毒性和小球藻急性毒性),结合理化指标,通过毒性单位、平均毒性(average toxicity,Av Tx)、毒性指数(toxic print,Tx Pr)、最敏感的测试(most sensitive test,MST)和潜在毒性效应指数(potential ecotoxic effects probe,PEEP)对不同工艺阶段印染及制革废水进行毒性削减评估.结果表明PEEP能兼顾废水排放量与毒性效应,更为客观地表征了废水综合毒性,PEEP评价结果显示制革废水和印染废水的毒性削减率分别达到36.8%和23.2%.最后,以发光菌作为受试生物,采用毒性鉴别评估(toxicity identification evaluation,TIE)技术,对印染废水进行毒性鉴别.结果表明,印染废水中主要的致毒物质为非极性有机污染,其次为可滤性化合物,然后是重金属、氧化性物质以及挥发性物质. 相似文献
140.
山东省临沂市土壤有机氯农药滴滴涕残留量与空间分布特征 总被引:2,自引:1,他引:1
通过对临沂市全区表层土壤每36 km2进行样品收集,测试分析了DDTs、Org C、N等指标,主要研究了区域表层土壤DDTs的残留现状、组成和来源、影响因素、空间分布和环境质量特征.结果表明,调查区表层土壤中DDTs检出率为71.75%,平均含量为0.035μg·g-1;检出样品中p,p'-DDT和p,p'-DDE为主要残留物,平均残留分别为0.033μg·g-1和0.010μg·g-1,分别占检出样的60.99%和34.62%.DDTs降解率指示区域58%表层土壤为新近输入区,新近输入区在调查区中南部分布尤为明显;而p,p'-DDD/p,p'-DDE指示区域DDTs降解以氧化环境为主,o,p'-DDT/p,p'-DDT指示71.37%区域土壤DDTs输入可能与工业级DDTs有关.相关分析表明,影响土壤DDTs分布的外在因素包括土壤Org C、N、C和p H等指标,且DDTs中p,p'-DDT组分占比越高,影响越明显.DDTs的空间分布具明显点源特征,市县周围均出现明显浓集中心,中南部部分区域浓度明显较高.全区DDTs土壤环境质量污染程度较低,主要以一二类土壤为主,分别占78.95%和21.05%. 相似文献