工业纤维废渣利用的生物技术研究

用平板分离法从树皮中选育出“５０８８号菌种”，使麻纺厂的废弃下脚料转化成可替代饲料中玉米成份的“媲谷菌饲”。并利用造纸厂白泥，粘胶纤维厂废水处理产生的污泥作饲料钙，锌元素添加剂获成功。     

太滆运河总氮污染物排放限值研究

以太滆运河为研究对象,根据总氮污染物入河特点,对入河支浜进行概化,采用一维河流水质模型,将运河分为5段计算总氮污染物的排放限值。结果表明:太滆运河计算段的总氮污染物排放限值为10.4t/a,而目前排入太滆运河计算段的总氮约为40t/a。建议对太滆运河两岸总氮污染物实行严格的减排措施以提高入湖河流的水质,确保太湖水环境质量。     

浙江省长潭水库水质特征研究

通过对长潭水库进行长期定点的监测和分析,对2006～2011年间长潭水库pH、透明度(SD)、总氮(TN)、总磷(TP)、生化需氧量(BOD)、溶解氧(DO)、叶绿素a的营养状态指数TLI(Chla)等各项指标的达标率以及营养状态进行了整体的分析和评价。结果表明:长潭水库水体现状为中度富营养状态,并以此为指导提出了相应的治理措施,以期为居民的供水安全提供保障。     

辽宁省大型底栖无脊椎动物耐污值及水质评价

根据采自辽宁省河流、水库、湖泊及河口湿地水体的209个大型底栖无脊椎动物样本,以及文献记载数据,依据其系统发育、亲缘关系和相同栖息地环境等进行推算,确定了辽宁省大型底栖无脊椎动物耐污值332个。利用上述耐污值并结合BI指数法对辽河、浑河、太子河流域内20个采样点所获得的大型底栖无脊椎动物监测数据进行分析与评价,结果显示各河流上游段水质良好,中下游河段水质较差。     

淮河流域用水效率研究

为研究淮河流域水资源利用效率,从淮河片水资源公报中提取相关指标数据,以淮河流域水资源二级分区为单元,基于数据包络分析法(DEA)和层次分析法(AHP)模型计算出淮河流域各市的用水效率.结果表明,淮河上游以漯河和平顶山市为优,淮河中游以郑州和徐州为优,淮河下游以扬州和盐城为优,沂沭泗以淄博和商丘为优.     

再生水中的Pb对萝卜根际土壤微生物群落结构的影响研究

采用盆栽方法研究再生水、再生水+Pb、清水+Pb处理浇灌萝卜,以清水浇灌为对照对萝卜根际土壤微生物群落的影响进行研究。结果表明:(1)土壤总PLFA含量及各菌群生物量从大到小依次为:再生水再生水+Pb清水清水+Pb。再生水灌溉有利于萝卜根际微生物各类群数量的增加,丰富微生物多样性。用含铅的溶液(再生水+Pb、清水+Pb)浇灌萝卜,可抑制土壤微生物各类群的数量,G-受到的抑制尤为明显。(2)主成分分析表明,再生水灌溉与对照相比,土壤微生物群落结构差异最大。(3)土壤微生物各类群与土壤速效钾、硝酸盐氮含量呈极显著正相关(P0.01),真菌、放线菌与土壤有机质含量,G~+、G~-菌与p H均呈极显著正相关(P0.01)。G~+、G~-与萝卜地下鲜重均呈极显著负相关(P0.01),土壤微生物各类群与地上部分硝酸盐含量、与根冠比呈极显著正相关(P0.01)。     

论"水十条"对中国水体污染防治的意义

2015年4月16日,国务院正式发布《水污染防治行动计划》,《水污染防治行动计划》为了与一年前出台的"大气十条"相对应,故亦简称"水十条".这将是今后很长一段时期中国治理水环境的纲领性文件."水十条"对中国水污染治理工作提出了总体目标,同时作为新环保法的延伸,"水十条"将强调市场机制在治理水体污染中的作用、促进环境需求的多样化.总的来说,"水十条"的发布,标志着中国将对水污染防控治理进行强力监管,铁腕治污将进入"新常态".     

原子吸收分光光度法测定水中铅的不确定度评定

对GB/T 7475-1987《水质铜、铅、锌、镉的测定》〔1〕原子吸收分光光度法测定水中铅的测量不确定度进行了评定。通过测量重复性、滴定管、移液管、标准溶液浓度等影响测量结果的不确定度分量的分析和量化,求得水中铅测定结果的相对合成标准不确定度。     

Torpor and energetic consequences in free-ranging grey mouse lemurs (Microcebus murinus): a comparison of dry and wet forests

Many endotherms save energy during food and water shortage or unpredictable environment using controlled reductions in body temperature and metabolism called torpor. In this study, we measured energy metabolism and water turnover in free-ranging grey mouse lemurs Microcebus murinus (approximately 60 g) using doubly labelled water during the austral winter in the rain forest of southeastern Madagascar. We then compared patterns of thermal biology between grey mouse lemurs from the rain forest and a population from the dry forest. M. murinus from the rain forest, without a distinct dry season, entered daily torpor independent of ambient temperature (T _a). There were no differences in torpor occurrence, duration and depth between M. murinus from the rain and dry forest. Mouse lemurs using daily torpor reduced their energy expenditure by 11% in the rain forest and by 10.5% in the dry forest, respectively. There was no significant difference in the mean water flux rates of mouse lemurs remaining normothermic between populations of both sites. In contrast, mean water flux rate of individuals from the dry forest that used torpor was significantly lower than those from the rain forest. This study represents the first account of energy expenditure, water flux and skin temperature (T _sk) in free-ranging M. murinus from the rain forest. Our comparative findings suggest that water turnover and therefore water requirement during the austral winter months plays a more restricting role on grey mouse lemurs from the dry forest than on those from the rain forest.     

Collectively engaging complex socio-ecological systems: re-envisioning science, governance, and the California Delta

We address the future of science and governance for the California Delta, focusing on the CALFED Bay-Delta Program, an interagency, multi-stakeholder effort to understand and manage the Delta for multiple purposes. We portray a Delta history as a coevolutionary process between science, governance and ecosystems. Global integrated environmental assessments (IEA) provide insights into understanding complex, dynamic socio-ecological systems. Many of the discursive stakeholder and scientific activities that have arisen under CALFED are similar to IEA and remain essential to the shared learning needed to effectively interact with a dynamic Delta. More deliberately enmeshing environmental monitoring, analysis, and collective learning into Delta governance will improve outcomes.