“5·12”汶川地震灾区典型区域生态环境状况影响评价

“5·12”汶川特大地震发生后。带来的植被破坏、水土流失、次生地质灾害等,给灾区生态环境造成了极大的影响。本文重点以汶川县作为典型区域,运用“3S”技术,通过对汶川县震前、震后的生态环境状况及其变化情况进行定量评价。分析“5·12”大地震对龙门山区生态环境的影响,以期为区域灾后重建提供参考。     

Survivor needs or logistical convenience? Factors shaping decisions to deliver relief to earthquake‐affected communities,Pakistan 2005–06

In Bureaucratizing the Good Samaritan , Waters (2001) argues that bureaucratic rationality distracts humanitarian agencies from the needs of the people they are supposed to assist, in favour of other values that their institutional frameworks dictate. We test his claim by investigating the response to the Pakistan 2005 earthquake. One of us (Dittemore) worked with the United Nations Joint Logistics Centre in the theatre, managing a relief cargo shipment database. The response, known as 'Operation Winter Race', was hampered by extreme logistical challenges, but ultimately succeeded in averting a second disaster resulting from cold and starvation. We use statistical models to probe whether survivor needs significantly guided decisions to deliver relief to affected communities. Needs assessments remained incomplete and incoherent. We measure needs through proxy indicators and integrate them, on a Geographic Information System (GIS) platform, with logistics and relief delivery data. We find that, despite strong logistics effects, needs orientations were significant. However, the strength of decision factors varies between commodity types (food versus clothing and shelter versus reconstruction materials) as well as over the different phases of the response. This study confirms Thomas's observation that logistics databases are rich 'repositories of data that can be analyzed to provide post-event learning' (Thomas, 2003, p. 4). This article is an invitation for others to engage in creative humanitarian data management.     

粮食基础设施震后恢复重建关键问题研究

在对汶川8.0级地震后绵阳市粮食基础设施破坏情况调研的基础上,提出恢复与发展并重、粮食基础设施节点与网络并行、推进行业整合和信息化的建设思路,规划了绵阳市灾后恢复重建的维修保障和重建发展项目,并对规划实施效果进行了经济和社会效益分析。     

基于GIS技术的汶川8.0级地震诱发地质灾害危险性评价——以四川省安县为例

通过汶川8．0级地震后对绵阳市安县地震诱发地质灾害的应急调查和遥感解译,共获得地质灾害点187处。在此基础上,利用GIS技术对地震诱发地质灾害分布与发震断裂距离、坡度、岩性、水系等因素的关系进行统计分析。结果表明,地震诱发地质灾害在区域上沿断裂带呈带状分布和沿水系呈线状分布的特点;地震诱发的地质灾害与地形坡度有很大的关系,绝大部分的灾害点集中在15°-45°的范围内;地震诱发的地质灾害与地形有很好的对应关系,北部高山地区地质灾害数量明显高于南部平原区;滑坡多发生在千枚岩、泥页岩等软岩中且多为土质滑坡,而岩浆岩等硬岩中多发生崩塌。     

汶川地震在江苏的强震动记录及地震影响场

2008年5月12日四川汶川发生M8.0大地震,江苏数字强震动台网固定观测台站、宿迁和溧阳断层观测存放台阵共获取该次地震有效强震动事件45个,计134条加速度记录。本文介绍了这些强震动记录分析处理的基本情况及其时域与频域的一些特点;编写SICalculate谱烈度计算程序和D2InterP二维插值程序,输入所获取的汶川地震26组实测强震动记录数据,得到该次地震在江苏地区的峰值加速度与谱烈度的等值线图,并就区域内地震影响场特征进行了初步研究。     

Sensitivity and Uncertainty of Ground‐Water Discharge Estimates for Semiarid Shrublands1

Abstract: We proposed a step‐by‐step approach to quantify the sensitivity of ground‐water discharge by evapotranspiration (ET) to three categories of independent input variables. To illustrate the approach, we adopt a basic ground‐water discharge estimation model, in which the volume of ground water lost to ET was computed as the product of the ground‐water discharge rate and the associated area. The ground‐water discharge rate was assumed to equal the ET rate minus local precipitation. The objective of this study is to outline a step‐by‐step procedure to quantify the contributions from individual independent variable uncertainties to the uncertainty of total ground‐water discharge estimates; the independent variables include ET rates of individual ET units, areas associated with the ET units, and precipitation in each subbasin. The specific goal is to guide future characterization efforts by better targeting data collection for those variables most responsible for uncertainty in ground‐water discharge estimates. The influential independent variables to be included in the sensitivity analysis are first selected based on the physical characteristics and model structure. Both regression coefficients and standardized regression coefficients for the selected independent variables are calculated using the results from sampling‐based Monte Carlo simulations. Results illustrate that, while as many as 630 independent variables potentially contribute to the calculation of the total annual ground‐water discharge for the case study area, a selection of seven independent variables could be used to develop an accurate regression model, accounting for more than 96% of the total variance in ground‐water discharge. Results indicate that the variability of ET rate for moderately dense desert shrubland contributes to about 75% of the variance in the total ground‐water discharge estimates. These results point to a need to better quantify ET rates for moderately dense shrubland to reduce overall uncertainty in estimates of ground‐water discharge. While the approach proposed here uses a basic ground‐water discharge model taken from an earlier study, the procedure of quantifying uncertainty and sensitivity can be generalized to handle other types of environmental models involving large numbers of independent variables.     

Fundamental Moral Attitudes to Animals and Their Role in Judgment: An Empirical Model to Describe Fundamental Moral Attitudes to Animals and Their Role in Judgment on the Culling of Healthy Animals During an Animal Disease Epidemic

In this paper, we present and defend the theoretical framework of an empirical model to describe people’s fundamental moral attitudes (FMAs) to animals, the stratification of FMAs in society and the role of FMAs in judgment on the culling of healthy animals in an animal disease epidemic. We used philosophical animal ethics theories to understand the moral basis of FMA convictions. Moreover, these theories provide us with a moral language for communication between animal ethics, FMAs, and public debates. We defend that FMA is a two-layered concept. The first layer consists of deeply felt convictions about animals. The second layer consists of convictions derived from the first layer to serve as arguments in a debate on animal issues. In a debate, the latter convictions are variable, depending on the animal issue in a specific context, time, and place. This variability facilitates finding common ground in an animal issue between actors with opposing convictions.     

人工神经网络方法在拟建小区域环境质量评价中的应用

人工神经网络的评价方法用于小区域环境质量评价中,根据本地区特点因地制宜地选择环境质量参数,代入模型中进行环境质量评价及预测,对用于环境质量评价的BP人工神经网络模型进行了改进,即对网络模型的训练样本进行了扩充,从而提高了模型的抗干扰能力和准确性.将改进了的BP人工神经网络模型应用于四川省资阳市沱江二桥拟建项目小区域的大气、地表水环境质量评价中, 对该市小区域大气、地表水环境质量状况进行评价,评价结果表明,BP人工神经网络模型用于环境质量评价是可行的,且评价结论客观,评价模型普遍适用.     

地震灾害综合应急能力评估研究

汶川大地震在给我国带来巨大的悲痛和损失的同时,也检验了我国政府的突发事件应急能力。此次抗震救灾凸显出我国地震灾害应急能力存在的一些不足。建立“突发事件综合应急能力评估指标体系”的目的是为了评估政府的突发事件应急能力,以评促建。地震灾害由于其不同于其它突发事件的特性,其应急管理也有其特定的内容。现以地震灾害特征为标准,选取13个省市为样本,套用已有评估指标体系,分析和评估我国地震灾害应急能力。研究认为,我国应加强地震灾害应急能力建设,同时认为已有评估指标体系能满足使用要求。     

石墨烯纳米材料对哺乳动物的毒性及其作用机制

石墨烯是一种应用广泛的新兴非金属纳米材料,具有独特的电学机械性能、超大的比表面积以及潜在的生物相容性,在材料、电子、能源、光学以及生物医学等领域得到广泛应用。与此同时,石墨烯的环境行为和生物毒性也随之引起日益广泛的关注。本文通过对石墨烯纳米材料的动物毒性、细胞毒性、毒性影响因素和毒性机制等相关研究进展进行总结。石墨烯纳米材料可通过气管滴注、吸入、静脉注射、腹腔注射以及口服等方式进入体内,通过机械屏障、血脑屏障和血液胎盘屏障等积累在肺、肝、脾等部位引起急性或者慢性损伤;目前有关石墨烯毒性机制的研究主要集中于线粒体损伤、DNA损伤、炎性反应、凋亡等终点及氧化应激参与的复杂信号通路,不同石墨烯纳米材料的浓度、尺寸、表面结构和官能团等对石墨烯的生物毒性影响不同。鉴于当前该领域研究的局限性,对石墨烯纳米材料生物毒性研究的发展方向进行了展望,进而为石墨烯材料的安全应用提供理论借鉴和实践参考。