火灾后既有结构混凝土损伤评估的突变模型

为了充分考虑火灾后混凝土损伤的多种控制因素,简便而可靠的混凝土损伤综合评估方法,选取抗压强度、耐久性、爆裂和裂纹等4个损失系数为评价指标,采用突变理论的归一化公式和突变原则,构建火灾后混凝土损伤综合评估的突变模型,并予以工程实例分析。结果表明:该方法与模糊综合法、投影寻踪法、分形插值法、属性识别法、可拓物元法的评价结果具有较好的一致性,评价结果客观准确,是一种简单实用的火灾后混凝土损伤综合评估新方法。     

集对分析在区域大气环境风险评价中的应用研究

应用集对分析法对事故状态下有毒有害气体环境风险分布建立数学模型,通过南京化工园区的实例分析,把评价区域大气环境风险划分为5个等级,并对差异不确定系数i取值进行讨论,以反映不同状态下的大气环境风险分布水平.研究结果显示,i₁=0.5,i₂=-0.5取值方法简便,且此时的区域大气环境风险状态相对符合实际,可为优化土地利用规划和完善环境风险防控措施提供依据.     

黄淮海平原冬小麦种植的气候变化适应评估

水资源短缺影响黄淮海平原农业稳定和可持续发展。气候变化情景下,农业用水紧张的问题可能进一步加剧,种植制度和作物品种区域布局将面临调整。论文利用IPCC 5三种代表性温室气体浓度排放路径（RCP 2.6、RCP 4.5和RCP 8.5）的多模式集成数据,基于VIP（soil-Vegetation-atmosphere Interface Processes）生态水文模型,模拟了2011—2059年黄淮海平原二级子流域的水资源盈亏变化。在此基础上,针对水分亏缺最严重的子流域,设计无外来调水和维持2000—2010年调水总量水平的两种流域地下水采补均衡情景,对冬小麦种植区域的合理布局及其对产量的影响进行评估。结果表明,2050年代黄淮海平原农作物蒸散量增幅大于降雨量增幅,北部地区水分亏缺量将增加,南部地区水分盈余量则减少。在低到高的排放情景下,全区域水分盈余量下降0.1%~14.1%。两种地下水采补均衡情景下,2050年代黄淮海平原冬小麦种植面积应分别减少9.8%~11.3%和7.0%~8.8%,相应产量分别增加0~11.9%和3.0%~15.9%。适当减少冬小麦种植面积,可有效减缓黄淮海地区农业水资源的不足,保护生态环境,促进农业可持续发展。     

Characterization of phosphorus species and modeling for its organic forms in eutrophic shallow lake sediments,North China

Variations of phosphorus （P） and its species in surface sediment of Baiyangdian Lake, a eutrophic shallow lake located in North China, were investigated through combination of field survey and numerical calculation based on cluster analysis. P fractionation was performed by a sequential extraction scheme, categorized as loosely bound P （NH4Cl-P）, reductant soluble P （BD-P）, metallic oxide bound P （NaOH-P）, calcium bound P （HCl-P） and organic P （Org-P）. P concentrations exhibited regional similarities and a total of four sub-areas were identified in which the same rank was HCl-P 〉 Org-P 〉 BD-P ,=NaOH-P 〉NH4Cl-E NH4Cl-P, BD-P and Org-P were found to contribute to P enrichment in overlying water column. Specifically, labile Org-P acted as a potential pool with a greater contribution in aerobic layer compared to anaerobic layer. A hysteresis （lag = 4 months） existed when labile Org-P concentration was negatively correlated with aerobic layer thickness. In view of magnitude of identified P contributors in sub-areas, higher potential of P release was present in Fuhe River and Tang River estuary areas. On the basis of calibration and verification, the mathematical model with parameter settings applied in this study was improved to serve as a tool for limnology management and eutrophic control.     

Application of k-means clustering to environmental risk zoning of the chemical industrial area

The homogeneous risk characteristics within a sub-area and the heterogeneous from one sub-area to another are unclear using existing environmental risk zoning methods. This study presents a new zoning method by determining and categorizing the risk characteristics using the k-means clustering data mining technology. The study constructs indices and develops index quantification models for environmental risk zoning by analyzing the mechanism of environmental risk occurrence. We calculate the source risk index, air risk field index, water risk field index, and target vulnerability of the study area with Nanjing Chemical Industrial Park using a 100 m - 100 m mesh grid as the basic zoning unit, and then use k-means clustering to analyze the environmental risk in the area. We obtain the optimal clustering number with the largest average silhouette coefficient by calculating the average silhouette coefficients of clustering at different k-values. The clustering result with the optimal clustering number is then used for the environmental risk zoning, and the zoning result is mapped using the geographic information system. The study area is divided into five sub-areas. The common environmental risk characteristics within the same sub-area, as well as the differences between sub- areas, are presented. The zoning is helpful in risk management and is convenient for decision makers to distribute limited resources to different sub-areas in the design of risk reducing intervention.     

Relationships between octan‐1‐ol/water partition coefficients,aqueous activity coefficients and reversed phase HPLC capacity factors of alkylbenzenes,chlorobenzenes, chloronaphthalenes and chlorobiphenyls

Linear relationships between logarithms of octan‐1‐ol/water partition coefficients (K_d,oct), aqueous activity coefficients (y_aq) and extrapolated RP HPLC capacity factors (k‘_w) are found for four types of aromatic hydrocarbons (alkylbenzenes and poly‐chlorinated benzenes, ‐naphthalenes and ‐biphenyls).

Both log K,_d,oct and logk‘_w increase with the increasing number of chlorine or methyl‐ene substituents. These increases of log K,_d,oct and log k‘_w are proportional and almost independent of the parent compound. In addition, these increases are linear to increases of logy_aq. The slopes of logk‘_w‐logy_aq and log K,_d,oct‐logv_aq relationships deviate significantly from 1.0. This suggests that the activity coefficients of the test compounds in both octan‐1‐ol and in the stationary phase of the RP column increase after substitution of aromatic compounds with methylene or chlorine.     

The determination of partition coefficients of organic compounds in technical products and waste waters for the estimation of their bioaccumulation potential using reversed phase thin layer chromatography

Reversed phase thin layer chromatography (RPTLC) has been investigated for the estimation of octanol/water partition coefficients (P), an important parameter for the prediction of the environmental behaviour of organic chemicals. A strong correlation between P derived from the traditional octanol/water system and RPTLC has been established over five orders of magnitude. RPTLC data are likewise correlated to results obtained by high performance chromatography (HPLC). Due to the low costs, simplicity and separation power RPTLC is especially suited for the investigation and screening of mixtures of compounds before more complicated tests are involved.

Results from a round robin test on the determination of partition coefficients by HPLC, RPTLC and the batch method indicate the simplicity and accuracy of the RPTLC technique. Applications of the RPTLC‐technique on technical products and industrial waste waters are described.     

洱海表层沉积物碱性磷酸酶活性时空变化

研究了2010—2011年洱海表层沉积物中碱性磷酸酶活性的时空变化,并探讨了沉积物及水体理化因子对碱性磷酸酶活性的影响.结果表明:①洱海表层沉积物中碱性磷酸酶活性为45.63～144.67μmol/(g·h),空间分布总体呈北部＞南部＞中部,受外源污染物输入影响较大的区域,其沉积物中w(TN)、w(TP)较高,碱性磷酸酶活性也较高;②洱海表层沉积物中碱性磷酸酶活性呈明显的季节性变化特征,秋季(11月)<冬季(2月)<春季(5月)<夏季(8月),并且西部沿岸区域的季节性变化差异显著;③碱性磷酸酶活性与沉积物中w(OM)、w(TN)、w(OP)、w(TP)、m(C)/m(N)及水体ρ(OP)、ρ(TN)和ρ(COD_Mn)呈显著正相关. 沉积物及水体的理化因子是影响其碱性磷酸酶活性的重要内因,而外源污染物输入则是重要外因.      

珠江河口水体有机磷农药的含量与季节变化

定期采集珠江口地区3条河涌的水样,分析9种有机磷农药(OPPs)含量及其时空变化规律.监测期间,9种OPPs中有7种被检出,检出率由高到低依次为:甲拌磷(97.5%)、敌敌畏(80.0%)、乙拌磷(77.5%)、灭线磷(15.0%)、乐果(10.0%)、甲基对硫磷(5.0%)、毒死稗(5.0%).∑OPPs浓度为0.46~43.60μg/L,平均为7.25μg/L,与其他地区相比处于较高的污染水平.珠江口有机磷农药的污染状况受季节影响十分显著.从丰水期至枯水期,沙湾水道、蕉门水道、万顷沙∑OPPs均值分别从7.82μg/L降至2.24μg/L,10.58μg/L降至6.46μg/L,13.08μg/L降至3.32μg/L.3条水道水质受农田面积、种植类型等因素的影响,OPPs污染状况和组成有较大的差异.     

Cluster analysis of inorganic elements in particulate matter in the air environment of an equatorial urban coastal location

Concentrations of nine inorganic elements (Na, Zn, Ca, Fe, Ni, Mn, Cu, Cd and Al) in particulate matter (PM₁₀) in the air of an equatorial urban coastal location during 2009 were studied during summer and winter monsoon seasons using high-volume sampling techniques. Atomic absorption spectrophotometry was used to analyse the samples. The concentrations of most inorganic elements were higher during summer than winter, except for Cu and Zn. The main inorganic elements in PM₁₀ are Na, Zn and Ca. High concentrations of Na and Ca are due to marine aerosols. Analysis of enrichment factors showed that inorganic elements are from non-crustal sources. Cluster analysis identified five clusters in the summer and six in the winter: (1) PM₁₀–Ni, (2) Zn–Na, (3) Fe–Cu–Ca–Cd, (4) Mn and (5) Al for summer; and (1) PM₁₀, (2) Zn, (3) Fe–Ni, (4) Cu–Ca–Na–Cd, (5) Mn and (6) Al for winter. Combining both correlation and cluster analysis, it was found that Fe–Cu–Cd was from industry/vehicle emissions, Zn was from resuspended soil, Mn was from metallurgical processes, Ni was from a nearby power plant and Al was from crustal sources. Inorganic element concentrations could be a good indicator of local sources of PM₁₀.