土地利用总体规划环境影响评价技术方法的研究

从国内外土地利用总体规划环境影响评价的技术方法研究出发,总结了各技术方法的优势和缺点。最后提出了完善土地利用总体规划环境影响技术方法的建议。     

长期不同耕作方式对紫色水稻土重金属含量及有效性的影响

通过长期定位试验,研究了常规平作、水旱轮作、免耕冬水、垄作免耕和厢作免耕5种耕作方式对紫色水稻土剖面重金属(Fe、Mn、Cu、Zn、Pb、Cd)总量、有效量及水稻根、茎叶和糙米重金属含量的影响.结果表明,经过22 a的耕作,5种耕作方式对紫色水稻土剖面Fe、Cu、Zn、Pb、Cd总量的剖面分布状况影响不显著,而对土壤Mn的剖面分布状况影响显著,常规平作、水旱轮作及免耕冬水均导致表层土壤Mn向下层淋失.5种耕作方式下土壤Fe、Cu、Zn、Pb和Cd的有效量均随土层深度的增加呈降低趋势,而常规平作、免耕冬水、垄作免耕及厢作免耕土壤Mn有效量则表现出随土层深度的增加而增高的趋势.5种耕作方式下,表层土壤Fe、Mn有效量以水旱轮作最高,Zn、Pb有效量以常规平作最高,而Cu有效量受耕作方式的影响不显著.相关分析结果表明,表层土壤有效Fe与pH呈极显著的负相关关系,与有机质呈显著的负相关关系,有效Mn与pH和有机质均呈极显著的负相关关系,有效Zn与总Zn呈显著正相关关系.水旱轮作、垄作免耕及厢作免耕条件下水稻根部Fe、Mn含量,茎叶Fe、Mn、Cu、Cd含量,糙米Cu含量均高于常规平作和免耕冬水,水旱轮作能明显降低Cd向糙米的迁移系数,对降低糙米Cd含量有明显的效果,且水旱轮作条件下糙米Cd含量低于国家食品卫生标准.水稻根部Fe含量与pH呈极显著负相关关系,与有效Fe呈极显著正相关关系,根部Mn含量与pH呈极显著负相关关系,与有效Mn呈极显著正相关关系,茎叶中Mn含量与pH呈显著的负相关关系,与总Mn及有效Mn呈显著的正相关关系,茎叶和糙米Cu含量与pH均呈极显著的负相关关系,糙米中Zn含量与pH呈显著负相关关系,与CEC呈极显著正相关关系.结果表明,耕作方式主要通过影响土壤pH而影响土壤重金属的有效量及水稻重金属的含量,水旱轮作可提高表层土壤Fe、Mn活性,降低土壤Zn、Pb和Cd活性,并能在一定程度上降低糙米Pb、Cd含量,但也应注意长期的水旱轮作可能会导致表层土壤Mn过度向下层淋溶.     

不同类型活性炭处理废水中重金属离子的研究进展

重金属对人体的显著毒性和难降解的特性,使重金属水体污染成为全球性关注的环境问题。本文综述了重金属废水的危害、来源及常用处理方法,比较了不同类型活性炭处理废水中重金属离子的差异,阐述了不同类型活性炭处理技术的优势和特点,并对今后的重金属废水处理技术研究方向进行了展望。     

典型有机磷酸酯阻燃剂分析方法研究进展

有机磷酸酯(OPEs)是一类重要的有机磷阻燃剂,近些年逐渐取代了溴代阻燃剂,广泛应用于各行各业,也因此导致在多种环境介质中有较高的暴露量和潜在风险。已有研究表明,OPEs具有一定的毒理效应,对人体及其他生物均有潜在危害。本文综述了近年来国内外OPEs的检测技术,详述了不同环境介质OPEs的前处理方法。结果表明,目前固相萃取(SPE)和固相微萃取(SPME)仍是水样前处理的主要方法;对于固体样品,加速溶剂萃取/加压液相萃取(ASE/PLE)和微波辅助萃取(MAE)应用较多;虽然大气样品仍以固体吸附剂方式为主,但已向在线一体化方向发展;而生物样品的前处理方法多与水样和固体样品方法相似;但是对于复杂环境介质中OPEs样品的前处理较为困难,方法有待改善;气相色谱-质谱联用(GC-MS)和气相色谱-氮磷检测器(GC-NPD)对弱极性和易挥发的OPEs分析效果好,而强极性和难挥发的OPEs多用液相色谱-质谱联用(LCMS);气相色谱-质谱串联(GC-MS/MS)、液相色谱-质谱串联(LC-MS/MS)和高效液相色谱-质谱串联(UPLC-MS/MS)等对多种复杂的环境介质中的OPEs均有较好的检测分析效果,但并未普及。最后,对OPEs分析测试方法的发展趋势提出了展望。     

A review of measurement methods for peracetic acid (PAA)

• Physical and chemical properties and application of peracetic acid solution. • Determination method of high concentration peracetic acid. • Determination method of residual peracetic acid (low concentration). Peroxyacetic acid has been widely used in food, medical, and synthetic chemical fields for the past several decades. Recently, peroxyacetic acid has gradually become an effective alternative disinfectant in wastewater disinfection and has strong redox capacity for removing micro-pollutants from drinking water. However, commercial peroxyacetic acid solutions are primarily multi-component mixtures of peroxyacetic acid, acetic acid, hydrogen peroxide, and water. During the process of water treatment, peroxyacetic acid and hydrogen peroxide (H₂O₂) often coexist, which limits further investigation on the properties of peroxyacetic acid. Therefore, analytical methods need to achieve a certain level of selectivity, particularly when peroxyacetic acid and hydrogen peroxide coexist. This review summarizes the measurement and detection methods of peroxyacetic acid, comparing the principle, adaptability, and relative merits of these methods.     

图象法确定底泥颗粒物的表面分形维数(Ds)

研究了不同标度下底泥颗粒物的表面分形特征.结果表明,底泥颗粒的表面在几个nm到几个μm之间一般都具有多重分形特征,而且在不同的标度范围内表面分形维数(Ds)具有一定的差异,在100-102量级之间,随图象分辨率的增大,相应的Ds一般呈变小的趋势.SEM图象计算出的Ds为2.32-2.42,AFM图象计算出的Ds为2.00-2.46,它们是是纯粹几何意义上的表面粗糙特征的描述.     

丹江口水库表层沉积物不同形态氮的赋存特征及其生物有效性

为了揭示丹江口水库沉积物氮空间分布特征及其生物有效性,采用连续分级提取法研究了表层沉积物中可交换态氮(Exchangeable nitrogen,EN)、酸解态氮(Acid hydrolysable nitrogen,HN)及残渣态氮(Residue nitrogen,RN)的赋存特征,同时结合生物可利用态氮的含量,探讨了各形态氮对生物可利用态氮的贡献。结果表明,丹江口水库沉积物中总氮(Total nitrogen,TN)在425~5796 mg/kg之间,平均为1 319.32 mg/kg,其中EN、HN和RN的平均值相对比例为2.15∶1.95∶1,且各形态氮含量的空间分布呈入库河流大于库区开阔区域的特征,尤其在丹江、老灌河以及犟河-堵河入库口的含量较大。潜在矿化氮(Potential mineralized nitrogen,PMN)含量在40.20~1 468.95 mg/kg之间,平均为275.06 mg/kg,其中EN对丹江口水库沉积物PMN的贡献较大,比例在19.85%~90.80%之间,平均为63.47%。各形态氮在不同的水环境条件下发生迁移转化,保持着水-沉积物界面氮的动态平衡。     

Monitoring Environmental Impact in the Upper Sonoran Lifestyle: A New Tool for Rapid Ecological Assessment

Characterized by expensive housing, high socioeconomic status, and topographic relief, Upper Sonoran Lifestyle communities are found primarily along the Wildland-Urban Interface (WUI) in the Phoenix, Arizona metro area. Communities like these sprawl into the wildlands in the United States Southwest, creating a distinct urban fringe. This article, through locational comparison, introduces and evaluates a new field assessment tool for monitoring anthropogenic impact on soil–vegetation interactions along the well-maintained multi-use recreational trails in Upper Sonoran Lifestyle region. Comparing data from randomly selected transects along other multi-use trails with data from a control site revealed three key indicators of anthropogenic disturbances on soil–vegetation interactions: soil disturbance, vegetation disturbance, and vegetation density. Soil and vegetation disturbance displayed an average distance decay exponent factor of −0.60, while vegetation density displayed a reverse decay average of 0.60. Other important indicators of disturbance included vegetation type, biological soil crusts, and soil bulk density. The predictive ability of this new field tool enhances its applicability, offering a powerful rapid ecological assessment method for monitoring long-term anthropogenic impact in the Upper Sonoran Lifestyle, and other sprawling cities along the WUI.     

可靠性技术的发展与应用

本文介绍了可靠性标准体系与参数体系,可靠性的分析与设计方法,可靠性试验的发展趋势,指出可靠性管理是产品可靠性工作的核心,以及提高电子设备可靠性的发展策略。     

Incorporating Uncertainty Into the Ranking of SPARROW Model Nutrient Yields From Mississippi/Atchafalaya River Basin Watersheds1

Abstract: Excessive loads of nutrients transported by tributary rivers have been linked to hypoxia in the Gulf of Mexico. Management efforts to reduce the hypoxic zone in the Gulf of Mexico and improve the water quality of rivers and streams could benefit from targeting nutrient reductions toward watersheds with the highest nutrient yields delivered to sensitive downstream waters. One challenge is that most conventional watershed modeling approaches (e.g., mechanistic models) used in these management decisions do not consider uncertainties in the predictions of nutrient yields and their downstream delivery. The increasing use of parameter estimation procedures to statistically estimate model coefficients, however, allows uncertainties in these predictions to be reliably estimated. Here, we use a robust bootstrapping procedure applied to the results of a previous application of the hybrid statistical/mechanistic watershed model SPARROW (Spatially Referenced Regression On Watershed attributes) to develop a statistically reliable method for identifying “high priority” areas for management, based on a probabilistic ranking of delivered nutrient yields from watersheds throughout a basin. The method is designed to be used by managers to prioritize watersheds where additional stream monitoring and evaluations of nutrient‐reduction strategies could be undertaken. Our ranking procedure incorporates information on the confidence intervals of model predictions and the corresponding watershed rankings of the delivered nutrient yields. From this quantified uncertainty, we estimate the probability that individual watersheds are among a collection of watersheds that have the highest delivered nutrient yields. We illustrate the application of the procedure to 818 eight‐digit Hydrologic Unit Code watersheds in the Mississippi/Atchafalaya River basin by identifying 150 watersheds having the highest delivered nutrient yields to the Gulf of Mexico. Highest delivered yields were from watersheds in the Central Mississippi, Ohio, and Lower Mississippi River basins. With 90% confidence, only a few watersheds can be reliably placed into the highest 150 category; however, many more watersheds can be removed from consideration as not belonging to the highest 150 category. Results from this ranking procedure provide robust information on watershed nutrient yields that can benefit management efforts to reduce nutrient loadings to downstream coastal waters, such as the Gulf of Mexico, or to local receiving streams and reservoirs.