中国省际农业碳排放测算及低碳化水平评价——基于衍生指标与TOPSIS法的运用

农业碳排放量测算及低碳化水平评价,是实现农业绿色发展和制定碳减排计划的重要依据。通过测算2006—2016年中国30个省份的农业碳排放量,并以测算结果为基础,从农业用地、禽畜养殖和农业能源三个方面构造农业碳排放衍生指标,采用基于动态自然权重的TOPSIS法对各省农业低碳化水平进行评价。结果表明：中国农业碳排放总量呈先降后升的“V型”变化,由2006年的91096万t下降至2008年的83521万t,此后稳步增加至2016年的92192万t。农业非能源碳排放量占农业碳排放总量的84%以上,土壤管理是农业非能源碳排放的第一来源。省际农业碳排放衍生指标异质性较强,农业低碳化水平整体不高。研究结果可为农业和环境部门开展低碳农业评价工作提供借鉴。     

螺形龟甲轮虫形态结构对环境变化的响应

以螺形龟甲轮虫为研究对象,于2015年7月至2018年12月,选取广东南澳岛及湖南常德中营养至中度富营养水体共14个样点进行采样,对螺形龟甲轮虫进行了形态特征测量分析.结果表明,水温是螺形龟甲轮虫形态变化最主要影响因子,且与背甲长、背甲宽、棘刺长度均呈显著负相关（P<0.01）.不同纬度条件下螺形龟甲轮虫形态参数差异显著,常德地区螺形龟甲轮虫个体显著大于南澳地区（P<0.05）.螺形龟甲轮虫形态存在显著季节性变化,各形态参数随季节波动呈现夏秋、冬春分化模式.螺形龟甲轮虫后棘刺长随水体营养程度增加而减小（F=159.4,P<0.01）,富营养条件下后棘刺长度占全长的比例减小（F=167.5,P<0.01）.研究结果表明,螺形龟甲轮虫棘刺长度可作为水质生物监测指标,并为研究全球气候变暖提供重要参考.     

水面舰船风浪环境适应性内涵及综合评估方法研究

首先对水面舰船风浪环境适应性的内涵进行了分析,重点研究了风浪环境对舰船综合航行性能及作战使用效能的影响.考虑到实际风浪环境中舰船各项总体性能指标是一个复杂的体系,各指标之间既具有矛盾性又具有一致性,是一个多目标、多变量的复杂系统.提取了跟风浪环境相关性较强的船体性能指标,建立了水面舰船风浪环境适应性多级综合评价指标体系.进而应用多级模糊综合评价模型,建立了舰船风浪环境适应性评估方法,对某深V船型和圆舭船型的风浪环境适应性进行评估,深V船型评估结果为66.95,圆舭船型为50.5,验证了评估模型的合理性.采用4种不同评判矩阵对两船风浪环境适应性进行了评估,结果表明,评判矩阵的选取对评估结果有较大影响.     

高应力条件下尾矿破碎特性及坝体稳定性研究*

高应力条件下尾矿破碎特性与坝体稳定性研究是高尾矿坝避免溃坝事故的重要参考。分析尾矿颗粒破碎过程中级配曲线的演化规律,提出采用BET测试颗粒比表面积以定量化表征颗粒破碎指标;在室内高应力三轴试验的基础上,阐述高应力条件下尾矿的力学行为,提出高应力条件下尾矿强度准则,并基于该准则对工程实例进行应用分析。结果表明:相比于常用破碎指标,从能量观点出发的BET法比表面积表征尾矿颗粒破碎更为合理;采用线性Mohr-Coulomb准则计算尾矿在低应力阶段的内摩擦角,采用幂函数Mohr强度准则计算尾矿在高应力阶段的内摩擦角;提出1套考虑高应力条件下尾矿强度折减的坝体稳定性分析方法,以供实际工程参考。     

Effectiveness of Vegetation Surrogates for Parasitoid Wasps in Reserve Selection

Abstract:  Selecting suitable nature reserves is a continuing challenge in conservation, particularly for target groups that are time-consuming to survey, species rich, and extinction prone. One such group is the parasitoid Hymenoptera, which have been excluded from conservation planning. If basic characteristics of habitats or vegetation could be used as reliable surrogates of specific target taxa, this would greatly facilitate appropriate reserve selection. We identified a range of potential habitat indicators of the species richness of pimpline parasitoid communities (Hymenoptera: Ichneumonidae: Pimplinae, Diacritinae, Poemeniinae) and tested their efficiency at capturing the observed diversity in a group of small woodlands in the agricultural landscape of the Vale of York (United Kingdom). Eight of the 18 vegetation-based reserve-selection strategies were significantly better at parasitoid species inclusion than random selection of areas. The best strategy maximized richness of tree species over the entire reserve network through complementarity. This strategy omitted only 2–3 species more (out of 38 captured in the landscape as a whole) than selections derived from the parasitoid survey data. In general, strategies worked equally well at capturing species richness and rarity. Our results suggest that vegetation data as a surrogate for species richness could prove an informative tool in parasitoid conservation, but further work is needed to test how broadly applicable these indicators may be.     

OREGON WATER QUALITY INDEX A TOOL FOR EVALUATING WATER QUALITY MANAGEMENT EFFECTIVENESS1

ABSTRACT: The Oregon Water Quality Index (OWQI) is a single number that expresses water quality by integrating measurements of eight water quality variables (temperature, dissolved oxygen, biochemical oxygen demand, pH, ammonia+nitrate nitrogen, total phosphorus, total solids, and fecal coliform). Its purpose is to provide a simple and concise method for expressing the ambient water quality of Oregon's streams for general recreational use, including fishing and swimming. The OWQI, originally developed in the 1970s, has been updated based upon improved understanding about water quality behavior. This report describes the historical basis of the OWQI and defines the improved design of the present OWQI. The index allows users to easily interpret data and relate overall water quality variation to variations in specific categories of impairment. This report demonstrates the value of the OWQI in presenting spatial and temporal water quality information. The OWQI improves comprehension of general water quality issues, communicates water quality status, and illustrates the need for and effectiveness of protective practices.     

大气环境质量评价的未确知测度模型

给出大气环境质量综合评价的未确知测度模型 ,并用于某大型钢铁企业的大气环境质量评价 .模型严谨 ,测度函数的构造力求符合实际 ,并且针对评价空间分割的有序性 ,引入置信度识别准则使评判结果合理 ,是大气环境质量综合评价的实用模型 .     

中国省域生态环境质量评价指标体系研究

提出了省域生态环境质量评价及其指标体系由生态环境质量背景、人类对生态环境的影响程度及人类对生态环境的适宜度需求三部分 组成,并分别提出相应的指标体系及评价方法。通过对中国省区生态环境质量评价分级的实例研究,具体介绍了该方法。      

Determining Sources of Fecal Bacteria in Waterways

The microbiological contamination of waterways by pathogenic microbes has been, and is still, a persistent public safety concern in the United States and in most countries of the world. As most enteric pathogens are transmitted through the fecal–oral route, fecal pollution is generally regarded as the major contributor of pathogens to waterways. Fecal pollution of waterways can originate from wastewater treatment facilities, septic tanks, domestic- and wild-animal feces, and pets. Because enteric pathogens are derived from human or animal sources, techniques capable of identifying and apportioning fecal sources have been intensively investigated for use in remediation efforts and to satisfy regulatory concerns. Pollution of human origin is of the most concern, since human feces is more likely to contain human-specific enteric pathogens. Fecal indicator bacteria have been used successfully as the primary tool for microbiologically based risk assessment. However measurement of fecal indicator bacteria does not define what pathogens are present, or define the sources of these bacteria. Microbial source tracking (MST) methods that have the ability to differentiate among sources of fecal pollution are currently under development. These methods will ultimately be useful for risk assessment purposes and to aid regulatory agencies in developing strategies to remediate microbiologically impaired waterways.     

Use of Scale Invariance in Evaluating Judgement Indicators

Indicators are used to draw conclusions about ecological endpoints when these endpoints cannot be measured directly. In many cases, inferences about an endpoint are only possible because assumptions have been made about the relationship between indicator and endpoint; we refer to such indicators as judgement indicators. The validity of inferences made using a judgement indicator can be gauged by examining the known or assumed form of the general relationship between indicator and endpoint. The rules for this kind of inference are a consequence of scale invariance, which originates from measurement theory. For simple indicators comprised of a single indicator measurement, the inferences allowed – equivalence, rank, equality of intervals, and equality of ratios – depend on whether the data are nominal, ordinal, interval, or ratio scaled. For composite indicators containing two or more simple indicators, inferences are also affected by the mathematical form of combination; e.g., whether the terms are summed or multiplied. Standardizing simple or composite indicators can allow inferences about the relative importance of observations, based on the natural range of occurrence. Scale invariance is a particularly important consideration in landscape assessments, since these often make use of judgement indicators.