基于GIS的松花江干流暴雨洪涝灾害风险评估

以黑龙江省内的松花江干流流域作为研究区,从现代灾害风险理论出发,综合运用GIS空间分析和灾害风险评估数学方法,对松花江干流流域的暴雨洪涝灾害风险进行了定量评价.研究利用遥感数据和社会经济数据,在空间分析基础上,通过对暴雨洪涝灾害的危险性、承灾体的暴露性、脆弱性以及区域防灾减灾能力的分析,确定影响各个县市暴雨洪涝灾害风险的具体方面.并将因子集成为洪涝灾害风险指数(FDRI),在此基础之上绘制出松花江干流流域的洪涝灾害风险区划图,结果表明松花江干流洪涝灾害风险以哈尔滨和佳木斯两市最大,上游洪涝灾害风险大于下游.     

膨润土团粒的压实性能研究

高放核废料深地质处置中,膨润土缓冲/回填材料需要满足低渗透性要求,实现阻滞地下水入渗和放射性核素泄漏的目标。增强膨润土防渗能力的常规方法是采用增大压实功提高其密实度,但该方法十分耗时耗能。为此,尝试从调整膨润土团(颗)粒级配角度,探究提高压实度的有效方法。首先,配置不同团粒级配和初始含水率的膨润土试样,再利用压力机压实到45 kN;最后,采用液氮冻干法干燥不同状态的试样,通过压汞仪获得其孔隙分布曲线。结果表明:相同压实荷载下(45 kN),干密度随含水率呈先增大后减小的整体变化趋势,含水率约为20%时压实效果最佳,其中O-B组合与A-B-3组合具有双峰特征;另外,通过调整团粒级配,压实效果显著提升,最大干密度由1.64 g/cm-3提高到1.72 g/cm³,其中A-B-3团粒组合效果最好。孔隙分布曲线表明,压实荷载只能压缩-3.59~0.188 μm-范围的孔隙,而对26 nm左右的孔隙没有影响。当含水率超过20%时,依靠增大压实荷载不能提高其压实度,但当改变团粒组合后,却可以有效提高其压实性能。     

不同地震序列类型地震的特征性质研究

收集整理了1993年以来的地震资料,建立M5地震和M6地震两个样本组,选取发震断层、震源复杂性、视应力3个参数,使用模糊等价关系的聚类分析方法对地震进行分类,把具有相同性质的地震归为同一类,研究孤立型、主余型、多震型地震的某些特征性质。结果表明:1孤立型地震性质:震源错动方式简单,应力降高或很高,视应力低或很低,震源区介质非均匀程度低;2多震型地震性质:对于走滑断层地震,震源错动方式复杂,应力降低或很低,视应力偏高或很高,震源区介质非均匀程度较高。     

Nitrogen-retaining property of compost in an aerobic thermophilic composting reactor for the sanitary disposal of human feces

Aerobic composting is a method for the sanitary disposal of human feces as is used in bio-toilet systems. As the products of composting can be utilized as a fertilizer, it would be beneficial if the composting conditions could be more precisely controlled for the retention of fecal nitrogen as long as possible in the compost. In this study, batch experiments were conducted using a closed aerobic thermophilic composting reactor with sawdust as the bulk matrix to simulate the condition of a bio-toilet for the sanitary disposal of human feces. Attention was paid to the characteristics of nitrogen transformation. Under the controlled conditions of temperature at 60°C, moisture content at 60%,anda continuous air supply, more than 70% fecal organic removal was obtained, while merely 17% fecal nitrogen loss was observed over a two-week composting period. The nitrogen loss was found to occur mainly in the first 24 h with the rapid depletion of inorganic nitrogen but with an almost unchanged organic nitrogen content. The fecal NH₄-N which was the main component of the inorganic nitrogen ( > 90%) decreased rapidly in the first day, decreased at a slower rate over the following days, and finally disappeared entirely. The depletion of NH₄-N was accompanied by the accumulation of NH₃ gas in the ammonia absorber connected to the reactor. A mass balance between the exhausted NH₃ gas and the fecal NH₄-N content in the first 24 hours indicated that the conversion of ammonium into gaseous ammonia was the main reason for nitrogen loss. Thermophilic composting could be considered as a way to keep a high organic nitrogen content in the compost for better utilization as a fertilizer.     

亚硝态氮和氨态氮急性胁迫下曼氏无针乌贼幼体血液的生化指标

将曼氏无针乌贼幼体置于24 h半致死剂量的亚硝态氮和氨态氮溶液中(10 mg·L-1 NaNO2和300 mg·L-1 NH4Cl),检测6、12和24 h各点及对照组曼氏无针乌贼幼体血液生化指标的变化.结果表明,随着处理时间的延长,NaNO2处理组血细胞密度(THC)(p＜0.05)、甘油三酯(TG)(p＜0.05)...     

彗星电泳法测定双酚A对雄性幼龄小鼠脑细胞的DNA损伤

双酚A是一种日常生活中无处不在的环境雌激素,具有生殖和神经毒性,但低剂量长期暴露对发育期青少年的危害性常常被低估或忽视。本研究以4周龄雄性清洁级小鼠为实验对象,以茶油作为溶媒对照,分别以双酚A浓度为0μg·m L-1、0.1μg·m L-1、10μg·m L-1和1 000μg·m L-1的茶油灌胃小鼠8周,然后利用彗星电泳法检测各组小鼠脑细胞的DNA损伤。结果显示,不同浓度双酚A暴露8周后,彗星电泳图像显示小鼠脑细胞DNA出现不同程度的损伤,随着暴露剂量的增加,带有彗尾的脑细胞比率从对照组小鼠的9.5%分别升高到暴露组小鼠的34.5%、36.0%和50.5%,细胞总体的尾部DNA含量、尾长和尾矩也都逐渐增加,而且各双酚A暴露组小鼠与溶媒对照组小鼠脑细胞都具有显著性差异(P0.01),这说明中长期双酚A暴露(包括低浓度环境暴露)会导致雄性幼龄小鼠脑细胞的DNA损伤。     

水环境中4-叔辛基苯酚的污染现状与生态风险评估

4-叔辛基苯酚是一种具有内分泌干扰效应的有机污染物,已广泛存在于环境介质中,有必要关注其生态风险。本文依据2010年以来4-叔辛基苯酚在我国8个湖库、11条主要河流、9个城市市内河流、污水处理厂进出水以及近海的水体和沉积物的环境暴露浓度数据,以及4-叔辛基苯酚的急慢性毒性数据。采用物种敏感性分布法(species sensitivity distribution, SSD)估算了4-叔辛基苯酚淡水、海水以及沉积物的预测无效应浓度(predicted no effect concentration, PNEC),并采用商值法对其进行了生态风险评估。结果表明,长江水系、珠江水系中4条河流地表水部分点位生态风险高,且珠江水系的风险相对较高;9个城市中的上海、广州、宁波、济南、太原和东莞6个城市河流部分点位生态风险较高;28个淡水地表水点位中,高生态风险占比为35.7%。10处有浓度数据报道的淡水沉积物中,9处为低风险,1处为中风险,海水及海洋沉积物均为低风险,4-叔辛基苯酚对我国淡水环境的影响应该引起重视。     

天津市地表水体与沉积物中7种高关注酚类化合物的污染特征与生态风险分析

为探究地表水体与沉积物中酚类化合物的污染分布特征和生态风险,选择天津市3个水源地与6条主要河流,采集了26个地表水样与6个沉积物样品,利用固相萃取与超声萃取、高效液相色谱-串联质谱法(HPLC-MS/MS)测定了水样及沉积物中1-萘酚(1-naphthol)、壬基酚(nonylphenol, NP)、双酚A(bisphenol A, BPA)、2-苯基苯酚(biphenyl-2-ol)、3,4-二氯酚(3,4-dichlorophenol)、四溴双酚A(tetrabromobisphenol A, TBBPA)和对叔丁基苯酚(p-tert-butylphenol, PTBP)等7种高关注酚类化合物的浓度水平,并应用物种敏感性分布(species sensitivity distribution, SSD)法和熵值法(ecological risk quotient, RQ)评估7种酚类化合物水环境和沉积物的生态风险。结果表明,地表水样中7种酚类化合物均全部检出;其中壬基酚的检出浓度最高,其次为四溴双酚A、对叔丁基苯酚、1-萘酚、2-苯基苯酚、3,4-二氯酚和双酚A。沉积物中酚类化合物的污染分布规律与水样相似,除双酚A外的目标物全部检出。其中,壬基酚浓度比其他物质浓度高2个数量级。风险评估结果显示,壬基酚对水环境与沉积物存在不可接受的风险;而四溴双酚A、对叔丁基苯酚、1-萘酚、2-苯基苯酚、3,4-二氯酚和双酚A则对环境具有较低风险或者存在一定的风险。     

大气气溶胶酸度和酸化缓冲能力研究

为了掌握大气气溶胶与酸性降水的关系 ,分析和研究了中国北方和南方不同观测点可吸入颗粒物 (PM10 )的酸度 ,并利用微量酸碱滴定的方法测定了其酸化缓冲能力。结果表明大气气溶胶具有一定的酸度 ,同时对酸化的缓冲能力非常低 ,甚至可以促进降水的酸化 ,这种污染特征也是上述观测点发生酸性降水的重要原因之一。     

Analysis of pollutant levels in central Hong Kong applying neural network method with particle swarm optimization

Air pollution has emerged as an imminent issue in modernsociety. Prediction of pollutant levels is an importantresearch topic in atmospheric environment today. For fulfillingsuch prediction, the use of neural network (NN), and inparticular the multi-layer perceptrons, has presented to be acost-effective technique superior to traditional statisticalmethods. But their training, usually with back-propagation (BP)algorithm or other gradient algorithms, is often with certaindrawbacks, such as: 1) very slow convergence, and 2) easilygetting stuck in a local minimum. In this paper, a newlydeveloped method, particle swarm optimization (PSO) model, isadopted to train perceptrons, to predict pollutant levels, andas a result, a PSO-based neural network approach is presented. The approach is demonstrated to be feasible and effective bypredicting some real air-quality problems.