陆源排海污水生物毒性控制限值研究——以秦皇岛市为例

在枯水期和丰水期,对秦皇岛市15个典型入海排污口污水进行生物效应监测,选用发光细菌(费歇尔弧菌)、藻类(中肋骨条藻)、甲壳类(卤虫)、鱼类(海水青鳉幼鱼) 4种不同的生物毒性测试生物对污水进行短期急性毒性测试。结果表明:排海污水的毒性大小易受雨水稀释影响;海水青鳉幼鱼对污水最为敏感,其次为卤虫和中肋骨条藻,费歇尔弧菌敏感性最低。对排海污水毒性评估结果与理化指标的相关性分析进一步表明,仅仅依靠理化指标来评估污水的环境影响具有局限性。     

太湖流域水灾演变与环境变迁的相关分析

新石器时期以来,太湖地区的水灾发生机制和表现形式严格受控于海、地、气系统的能量均衡和转换过程,具有明显的阶段性特征,遵循由海洋优势性向海面控制基准下陆源洪水的演变过程.愈接近现代,成灾和干扰因素愈趋复杂,逐渐呈现出水灾与环境相互反馈使水灾加深(岗身体系形成并完善,太湖形成并扩张以来),以及人类活动、水灾与环境三者间相互反馈使水灾频度加大等趋势(尤其自南宋以来).提出了相对高海面的水灾控制基面效应和太湖水灾扩张效应等观点.     

水旱灾害对我国农业及社会经济发展的影响

水旱灾害首先影响到我国农业生产。粮食产量的大幅减产还会波及到整个国民经济及人民生活水平的下降。研究自然灾害不仅要注意因灾损失的自然因素，同时要联系造成灾害的社会、经济、人文因素等诸多方面进行自与非自然因素的综合分析。     

AN EVALUATION OF PHYSICAL STREAM HABITAT ATTRIBUTES USED TO MONITOR STREAMS1

ABSTRACT: The last few decades have seen an increased reliance on the use of stream attributes to monitor stream conditions. The use of stream attributes has been criticized because of variation in how observers evaluate them, inconsistent protocol application, lack of consistent training, and the difficulty in using them to detect change caused by management activity. In this paper, we evaluate the effect of environmental heterogeneity and observer variation on the use of physical stream attributes as monitoring tools. For most stream habitat attributes evaluated, difference among streams accounted for greater than 80 percent of the total survey variation. To minimize the effect that variation among streams has on evaluating stream conditions, it may be necessary to design survey protocols and analysis that include stratification, permanent sites, and/or analysis of covariance. Although total variation was primarily due to differences among streams, observers also differed in their evaluation of stream attributes. This study suggests that if trained observers conducting a study that is designed to account for environmental heterogeneity can objectively evaluate defined stream attributes, results should prove valuable in monitoring differences in reach scale stream conditions. The failure to address any of these factors will likely lead to the failure of stream attributes as effective monitoring tools.     

Conservation of Biodiversity: How Are We Doing?

A question rarely raised in discussions on biodiversity conservation, but surely the biggest question of all, is “How much time do we have left before the mass extinction underway surpasses our best efforts to contain it?” This prompts a further prime question because—and unlike all other problems, whether environmental or otherwise—the biotic crisis threatens to leave a severely impoverished planet for millions of years ahead; “Why do we not undertake the necessary actions to get on top of the problem before it gets on top of us?”     

In-situ Treatment of Oiled Sediment Shorelines

Experimental oil spill studies were conducted to quantify the effectiveness of selected in-situ shoreline treatment options to accelerate natural oil removal processes on mixed-sediment (sand and pebble) shorelines. At each of three distinct shoreline sites, treatment test plots and control plots were established within a 40-, 80- and 143-m continuous stretch of oiled shoreline. A total of 5500 l of oil was deposited along a 3-m wide swath in the upper intertidal zone at each site. Approximately one week after oiling, a different treatment technique was applied to each plot. The treatment techniques were: sediment relocation (surf washing), mixing (tilling), bioremediation (fertilizer application), and bioremediation combined with mixing. One plot at each site was monitored for natural attenuation. The quantity of oil removed from the plots was measured six times up to 60 days post-treatment and then again one year later. Changes in the physical character of the beach, oil penetration, movement of oil to the subtidal environment, toxicity, and biodegradation were monitored over the 400-day period.The results verified quantitatively that relocation of oiled sediments significantly accelerated the rate of oil removal from the shoreline by more than one year. Microscopic observations and image analyses confirmed that the oil-mineral aggregate formation process was active and was increased by sediment relocation. Oil biodegradation occurred in this arctic environment, both in the oiled sediments and on the fine mineral particles removed from the sediment by natural physical processes. The biodegradation of oil in sediment was significantly stimulated by simple bioremediation protocols. Mixing (by tilling) did not clearly stimulate oil loss and natural recovery in the context of this experimental design. None of the treatment techniques elevated toxicity in the nearshore environment to unacceptable levels, nor did they result in consequential alongshore or nearshore oiling.     

基于可解释机器学习的青藏高原草地物候变化多因素影响分析

气候变化背景下,青藏高原植被物候发生显著改变.然而,影响物候的水热因素众多,目前较少有研究关注多因素对青藏高原物候的影响效应,导致对青藏高原物候变化机制认识不足.为此,研究通过遥感数据解译,在对2002~2021年青藏高原草地物候时空变化特征分析的基础上,聚焦降水、气温、海拔和土壤等多方面,利用可解释机器学习方法（SHAP）揭示物候变化的主导因素,并量化分析多因素对物候的交互影响.结果表明:①青藏高原分别有56.32 %、67.65 %和65.50 %的草地表现出生长季开始时间（SOS）提前、生长季结束时间（EOS）延迟和生长季长度（LOS）延长趋势;②青藏高原草地SOS和LOS主要受水分条件影响,3月0~10 cm土壤水分对SOS提前和LOS延长起促进作用的范围分别在10~25 kg·m^-2和15~25 kg·m^-2之间,峰值分别在20 kg·m^-2和18 kg·m^-2左右;EOS则主要受温度影响,9月和10月温度越高对EOS延迟促进作用越强,并分别在高于8 ℃和-0.5 ℃时达到峰值;③水热等因素对物候的影响存在非线性交互效应,3月0~10 cm土壤水分达到20 kg·m^-2后,更有利于低降水和低海拔地区SOS提前;10月温度高于0 ℃后较好的水分条件更有利于EOS延迟;3月0~10 cm土壤水分在12~22 kg·m^-2之间时,高降水地区LOS更长.研究表明,可解释机器学习方法可为物候变化的多因素影响定量分析提供一种新的方法.     

火灾下工程结构连续性倒塌分析与设计方法探讨

给出了火灾下工程结构连续性倒塌的定义,分析了工程结构在火灾作用下的特点,并给出了火灾连续性倒塌判断流程。在介绍目前常用的工程结构抗连续性倒塌分析设计方法的基础上,提出了采用替代路径法中的非线性静力分析方法对建筑结构进行火灾作用下抗连续性倒塌设计的思路。     

The influence of heterogeneous environmental regulation on the green development of the mining industry: empirical analysis based on the system GMM and dynamic panel data model

The intensity of environmental regulation (ERI) affects the short-term effect of the level of green mining (GML), and which structure determines the long-term mechanism. Based on the panel data from 2001 to 2015, with the dynamic panel model and system GMM estimation method were employed to test the influence of heterogeneous environmental regulation on green mining and its transmission mechanism. The results show that, there is a “U” type nonlinear relationship between the ERI and GML. The direct effect of command-control-based (CAC) and the market incentive-based (MBI) environmental regulation on green development of mining shows the characteristics of inhibition and promotion. There is a “U” type of indirectly moderating effect between technological innovation and the energy consumption structure on the GML. The technological innovation promotes the green development of the mining industry only after pass the inflection point of MBI, while the CAC plays a significant guiding role in upgrading of the energy consumption structure. There is an inhibition and promotion effect of MBI on the GML in the southeast coastal area, and the CAC is not significantly. Meanwhile, both of the ERI shows no positive effects in the central and western inland region.     

多环芳烃的健康风险评价以及暴露参数的敏感性分析

在暴露情景假设和评估模型的确定下,有必要对污染场地的风险计算结果有影响的模型参数开展敏感性分析,以便在开展土壤健康风险评估工作时,提高评估的准确性和科学性,节约修复成本。以上海市某污染场地为例,对模型参数敏感性开展敏感性分析。贡献率结果显示,经口摄入土壤和皮肤接触土壤为场地表层污染土壤的主要致癌风险暴露途径。敏感性分析结果显示,致癌风险与体重呈反向变化,当体重参数减小时,暴露风险将向不利的方向移动。当体重参数在大范围减小时,敏感程度较高。致癌风险与暴露周期、暴露频率、每日摄入土壤量、暴露皮肤表面积、皮肤表面土壤粘附系数呈同向变化,当这些参数增大时,暴露风险将向不利的方向移动;其中暴露周期和暴露频率的敏感程度中等。上海市敏感用地下苯并(a)蒽、苯并(b)荧蒽、茚并(1,2,3-c,d)芘、苯并(a)芘、二苯并(a,h)蒽风险控制值分别为0.726、0.726、0.726、0.072 6、0.072 6 mg/kg。