互花米草入侵对长江口湿地土壤碳动态的影响

为了评价互花米草入侵对长江河口湿地土壤碳动态的影响,利用配对的试验设计在长江口崇明东滩湿地的高潮滩和低潮滩各设置1条入侵种互花米草与土著种的配对样线.结果表明,与土著植物相比,互花米草入侵显著增加了长江口湿地的植物碳库、土壤微生物碳、土壤总碳库和有机碳库,而对占土壤总碳库60%以上的无机碳库无显著影响,意味着互花米草入侵导致的土壤总碳库改变主要是通过增加土壤有机碳库来实现的.高潮滩互花米草和芦苇群落的年均土壤呼吸强度分别为（210.02±4.90）,（157.79±6.39）mg/（m²·h）;低潮滩互花米草和海三棱藨草群落年均土壤CO₂排放速率分别为（157.41±5.27）,（110.90±5.16）mg/（m²·h）,表明互花米草入侵显著增加长江口湿地的土壤呼吸.上述结果意味着互花米草入侵同时增加土壤碳输入和碳输出,但入侵也显著增加了土壤碳库表明入侵增加的土壤碳输入显著高于增加的土壤碳输出.本研究表明互花米草入侵可能会增强了长江河口湿地的土壤碳汇强度和固碳能力.但仍然需要长期系统的监测研究,以便全面定量评估互花米草入侵我国滨海湿地的综合生态影响.     

马莲河流域河水化学特征和化学风化过程分析

采用Gibbs图解和端元分析方法研究了马莲河水化学特征、离子来源和化学风化作用,利用质量平衡正演模型评价了各风化作用对水化学组分的贡献率。结果表明,马莲河水为高TDS咸水,阳离子以Na~+、Mg~(2+)为主,阴离子以Cl~-、SO_4~(2-)为主;沿河水流向TDS降低,水化学类型由Cl-Na型演变为HCO_3·SO_4-Na·Mg型;河水化学组分的主要形成作用为化学风化,蒸发盐主导了流域风化过程,对离子组分平均贡献率高达76.5%,硅酸盐和碳酸盐风化较弱;化学风化具空间变异,从上游到下游,硫酸盐和碳酸盐贡献率增加,岩盐贡献率降低。岩性是控制流域化学风化作用的首要因素,降雨量和径流量可能也有一定影响。     

芦苇植株对湿地温室气体排放的影响及其日变化特征

利用静态箱-气相色谱法对夏季(7月、8月和9月)长江河口湿地芦苇植被CO_2、CH_4和N_2O的叶面通量、茎秆扩散速率以及沉积物通量的日变化进行研究。结果显示,通过芦苇叶片排放的N_2O与CH_4的量分别为2.99μg/(m~2·h)和15.36μg/(m~2·h),CO_2则呈现白天吸收(-120.86 mg/(m~2·h))、夜间排放(69.39 mg/(m~2·h))的特点。芦苇茎秆N_2O、CH_4和CO_2平均扩散速率分别为1.96μg/h、142.45μg/h和10.69 mg/h,沉积物平均排放通量为N_2O 8.18μg/(m~2·h)、CH_41.58 mg/(m~2·h)、CO_2169.66 mg/(m~2·h)。芦苇茎秆和沉积物界面CH_4和CO_2的排放均呈现出明显的"单峰型"昼夜变化规律,其排放峰值集中在日照及温度最高的9:00至15:00。芦苇植株是影响温室气体排放变化的因素之一。芦苇植株在光合作用下吸收CO_2并促进CH_4的排放,而芦苇发达的根系及茎秆是温室气体排放的主要途径。同时,Pearson相关性分析表明温度对芦苇群落CH_4和NO2的排放影响显著,但与CO_2通量的相关性不明显。土壤氧化还原电位对3种气体的排放均有显著影响。     

小清河水体和沿岸地下水中有机污染物的监测及其毒性分析

本文对小清河水体和沿岸地下水中的有机污染物进行了色－质联用分析，共检出有机污染物１３类９３种。并对其毒性效应进行了分析和评价。     

济南市创建国家环保模范城市的调查与思考

从济南市环境保护现状调查入手,对照国家环境保护模范城市考核指标,分析济南市创建国家环境保护模范城市存在的问题,借鉴其他城市创建国家环境保护模范城市的成功经验,结合济南市实际,提出了有针对性的对策与建议。     

柴油机尾气中PAH_s的分析

本文概述了柴油机尾气中ＰＡＨｓ的分析方法，着重论述了采样及预处理方法，特别对预处理方法进行了深入的探讨。另外，通过对柴油机两种不同工况下产生的尾气进行分析后发现，柴油机转速越高，其排放尾气中ＰＡＨｓ的含量就越低。     

新疆生态功能区划初探

“新疆生态功能区划”参考了“中国综合生态环境区划方案”，以《生态功能区划暂行规程》为依据，充分考虑新疆独特的地理分布格局，将新疆分为5个生态区，18个生态亚区，79个生态功能区。“新疆生态功能区划”对科学有效地管理新疆生态环境，因地制宜地实施保护和治理策略，保证社会经济可持续发展具有重要意义。     

乌鲁木齐市餐饮业油烟污染的调查及防治初探

通过对乌鲁木齐市20家餐饮业油烟污染的调查分析，结果表明，乌鲁木齐市餐饮业油烟污染严重，并提出了防治措施。     

A pilot project to detect and forecast harmful algal blooms in the northern Gulf of Mexico

More timely access to data and information on the initiation, evolution and effects of harmful algal blooms can reduce adverse impacts on valued natural resources and human health. To achieve this in the northern Gulf of Mexico, a pilot project was initiated to develop a user-driven, end-to-end (measurements to applications) observing system. A key strategy of the project is to coordinate existing state, federal and academic programs at an unprecedented level of collaboration and partnership. Resource managers charged with protection of public health and aquatic resources require immediate notice of algal events and a forecast of when, where and what adverse effects will likely occur. Further, managers require integrated analyses and interpretations, rather than raw data, to make effective decisions. Consequently, a functional observing system must collect and transform diverse measurements into usable forecasts. Data needed to support development of forecasts will include such properties as sea surface temperature, winds, currents and waves; precipitation and freshwater flows with related discharges of sediment and nutrients; salinity, dissolved oxygen, and chlorophyll concentrations (in vivo fluorescence); and remotely-sensed spatial images of sea surface chlorophyll concentrations. These data will be provided via a mixture of discrete and autonomous in situ sensing with near real-time data telemetry, and remote sensing from space (SeaWiFS), aircraft (hyperspectral imagery) or land (high-frequency radar). With calibration across these platforms, the project will ultimately provide a 4-dimensional visualization of harmful algae events in a time frame suitable to resource managers.     

Determination of organophosphorus pesticides and related compounds in water samples by membrane extraction and gas chromatography

A membrane extraction-gas chromatography method was developed fordetermination of organophosphorus pesticides and related compounds including methamidophos, DDVP, dimethoate, methyl parathion, parathion, thiophosphoric acid trimethyl ester, and thiophosphoramidic acid dimethyl ester in water samples. In thismethod, surface-modified acetic cellulose membranes were used to extract the target analytes in water samples, the extracted analytes were back-extracted into a small amount of methanol, andgas chromatography with pulsed flame photometric detector (GC-PFPD) was used to determine the concentrations of targetanalytes in the extracts. The recoveries obtained for thetarget analytes spiked into the water samples ranged from 66to 94%. The method detection limit for each target analyte was 0.05 g L^-1. The method developed in this study had shown the advantages of being cheap, simple, fast, and reliable. It had been used successfully to determine the concentrations of target analytes in river water samples.