哈尔滨市产业转移前后水环境安全度变化研究

基于松花江流域特点与产业转移对水环境的影响,从压力层、状态层、响应层3个方面构建水环境安全评价指标体系,并利用模糊综合评价的方法,对哈尔滨市产业转移前后的水环境安全进行了评价。结果表明：在承接产业转移初期哈尔滨市水环境安全度有所下降,但在转移后期却有了明显提高。另外,各目标层水环境安全度在转移初期也均有不同程度的下降,且随着产业转移进程的推进,压力层水环境安全度基本保持不变,状态层与响应层水环境安全度呈现缓慢上升趋势,说明产业转移不一定对水环境造成消极影响,如果政府能采取合理应对措施,产业转移也能成为水环境保护的契机。     

全国重要生态功能区生态安全评价

《全国生态功能区划》提出的50个国家重要生态功能区域,对于国家和区域生态安全保障具有重要指导意义。从生态胁迫和生态结构与功能2个方面选取指标构建生态安全评价体系,以2000、2005和2010年生态系统遥感数据为基础,分区对全国重要生态功能区生态安全进行评价,识别生态安全状况呈恶化趋势的区域,为全国重要生态功能区的生态安全保障工作提供理论基础和科学依据。结果显示,水源涵养区和生物多样性保护区的生态安全指数相对较高,土壤保持重要区的生态安全状况较差;重要生态功能区总体生态安全状况呈下降趋势,比较显著的变化包括洞庭湖洪水调蓄重要区和藏东南山地热带雨林生物多样性保护重要区的生态环境状况改善明显,黑河中下游防风固沙重要区的生态安全指数值最小且呈下降趋势。     

危险货物运输的安全注意事项

危险物品运输事故频发,造成了人员、财产和环境的重大损失。究其原因,其中绝大部分事故是运输单位或者从业人员没有遵守危险物品运输的安全要求而诱发、扩大事故的。从法律法规、技术、管理的要求及工作经验中总结了危险货物运输的安全注意事项。     

绿色食品产地生态环境质量分析与评价--以庆安县国家级生态农业示范区为例

采用1993年、2000年和2003年庆安县生态环境质量监测数据,通过指数评价和加权综合评价法,分析评价庆安县绿色食品产地的生态环境质量,并利用GIS地理统计等功能,用变异估计法及克里格插值法,以可视化的方式展现绿色食品产地环境质量的空间分布.结果表明,庆安县中部和西南部的环境质量最好,最适宜发展AA级绿色食品基地; 西北部和东南部的绿色食品产地环境质量虽然是清洁、安全的,但有逐渐恶化趋势,需引起进一步关注.     

国家重点实验室信息网络化的安全管理

探讨了国家重点实验室利用计算机网络通讯技术的飞速发展在创新性研究、国家安全等方面发挥越来越大作用之时所面临日益突出的网络安全管理问题.根据国家重点实验室网络的基本安全要求,分析了平台安全的体系结构,提出了安全技术产品或工具的具体部署图,来保证国家重点实验室在内部管理、学术交流和保密工作等方面能达到科学、高效和严密的预期效果.     

基于PSR模型的三峡库区生态经济区土地生态安全评价

针对三峡库区生态经济区土地资源的特点及所面临的主要问题,基于PSR框架模型的发展,构建了一套评价指标体系.采用熵权赋权法确定权重,运用土地生态安全综合模型,对该区域2003~2006年的土地生态安全综合指数进行了计算.结果表明,区域土地生态安全综合指数由2003年的0.134(敏感级)升高至2006年的0.269(临界安全级),整体生态安全状态呈好转趋势,土地所受的生态压力整体上有所加大.现有土地生态安全状况的改善主要依赖于对现有土地生态问题的治理.现阶段土地的生态压力依然严峻.对2003~2006年的土地生态安全变化进行分析显示,土地生态安全综合状况已进入快速改善阶段.     

Co-fermentation of waste activated sludge with food waste for short-chain fatty acids production: effect of pH at ambient temperature

Effect of pH ranging from 4.0 to 11.0 on co-fermentation of waste activated sludge (WAS) with food waste for short-chain fatty acids (SCFAs) production at ambient temperature was investigated in this study. Experimental results showed that the addition of food waste significantly improved the performance of WAS fermentation system, which resulted in the increases of SCFAs production and substrate reduction. The SCFAs production at pH 6.0, 7.0, 8.0, and 9.0 and fermentation time of 4 d was respectively 5022.7, 6540.5, 8236.6, and 7911.7 mg COD·L^-1, whereas in the blank tests (no pH adjustment, pH 8.0 (blank test 1), no food waste addition, pH 8.0 (blank test 2), and no WAS addition (blank test 3)) it was only 1006.9, 971.1, and 1468.5 mg COD·L^-1, respectively. The composition of SCFAs at pH from 6.0 to 9.0 was also different from other conditions and propionic acid was the most prevalent SCFA, which was followed by acetic and n-butyric acids, while acetic acid was the top product under other conditions. At pH 8.0 a higher volatile suspended solids (VSS) reduction of 16.6% for the mixture of WAS and food waste than the sole WAS indicated a synergistic effect existing in fermentation system with WAS and food waste. The influence of pH on the variations of nutrient content was also studied during anaerobic fermentation of the mixture of WAS and food waste at different pH conditions. The release of NH4+-N increased with fermentation time at all pH values investigated except 4.0, 5.0 and in blank test one. The concentrations of soluble phosphorus at acidic pHs and in the blank test one were higher than those obtained at alkaline pHs. Ammonia and phosphorus need to be removed before the SCFAs-enriched fermentation liquid from WAS and food waste was used as the carbon source.     

Changes in polybrominated diphenyl ether (PBDE) levels in cooked food

Food surveys for levels of toxic chemicals frequently report the levels on an uncooked basis. It is known that cooking may in some conditions decrease the amount of dioxins and related chemicals in food. Surveys of polybrominated diphenyl ether (PBDE) levels in food to date show data from uncooked food only. In this article, it was shown that broiling, with fat dripped from the foods reported here, ground beef, ground lamb, catfish, trout, and salmon, reduces the amount of PBDEs in these foods. This suggests that calculations of food intake need to take into consideration levels in the cooked food rather than in the uncooked food.     

Residues and dissipation of the pesticide emamectin benzoate under Egyptian field condition: a case study

A simple, rapid analytical procedure for the quantification of emamectin benzoate in tomato was developed using high performance liquid chromatography with fluorescence detector (HPLC-FLD). Emamectin benzoate residues were extracted from tomato samples with n-hexane:ethyl acetate (1:1, v/v). The method involved derivatization using trifluoroacetic anhydride and 1-methylimidazole, prior to analysis by HPLC-FLD. Limit of quantification of this method was found to be 0.01 mg/kg, while limit of detection was 0.005 mg/kg. The dissipation of emamectin benzoate on tomato was studied, and half-life (t_1/2) was estimated in a field study carried out at three different locations. Emamectin benzoate was sprayed on tomato at recommended dosage. Samples of tomato were collected at 0, 1, 3, 7, 10, and 15 days after treatment. The t_1/2 of emamectin benzoate when applied at the recommended doses in tomato was approximately 2.5 days. The residue of emamectin benzoate reached below the maximal residue limit (MRL) 10 days after spraying at the tested dosage. Hence, a safe pre-harvest interval of 10 days is suggested before harvesting of tomato. This study would also be helpful for the Egypt government to establish the MRL of emamectin benzoate in tomatoes and provide guidance on the proper and safe use of this insecticide.     

Metal removal with two biochars made from municipal organic waste: adsorptive characterization and surface complexation modeling

The adsorptive characteristics of biochar produced from garden green waste (S-char) and a mixture of food waste and garden green waste (FS-char) were investigated. Adsorption of Cu²⁺, Zn²⁺, and Mn²⁺ onto the two biochars reached equilibrium within 48 hours. The metal adsorption was effectively described by the pseudo-second-order kinetic and Freundlich isotherm models which suggest heterogeneous chemisorption. The initial solution pH influenced adsorption of Zn²⁺ and Mn²⁺ but not of Cu²⁺. Simulation via a surface complexation model showed that the fraction of XOCu⁺ adsorbed onto biochar was increased with increasing pH until it reached the adsorption maximum at pH 8.5, while the endpoint for the maximum of XOMn⁺ was higher than pH 12.