高浓度阿维菌素生产废水治理与资源回收技术研究

采用预处理一厌氧水解－二段接触氧化工艺处理阿维菌素废水，在厌氧段停留时间为１０ｈ，好氧段停留时间为６ｈ条件下，厌氧好氧段ＣＯＤ总去除率达９１％，     

氧化铝载体下二氧化氯催化氧化处理印染废水

研究了二氧化氯化学氧化体系和二氧化氯催化氧化体系。实验结果表明:单用二氧化氯化学氧化处理COD为2700mg/L的活性艳红染料配制废水时,最佳反应pH值为10,氧化剂经济用量为800mgClO2/L废水,反应时间为30min,COD去除率可达63%左右,氧化指数(COD削减量∶ClO2投加量)=2.18。当二氧化氯与自制催化剂所组成的催化氧化体系用于对活性艳红染料配制废水的处理时,最佳反应pH值为10左右,氧化剂经济用量为1000mgClO2/L废水,反应时间为90min,COD去除率可达83.4%,氧化指数=2.25。结果表明,二氧化氯催化氧化法是一种新型高效的处理难降解废水的技术,有着广阔的应用前景。     

克螨特和霸螨灵及其混剂对土壤微生物的影响及安全评价

通过模拟试验研究了杀螨剂克螨特、霸螨灵及其混剂速霸螨(霸螨灵:克螨特=1:3)对土壤呼吸作用的影响.结果表明,克螨特、霸螨灵及其混剂对土壤的呼吸作用均有一定的影响,表现为各浓度处理对土壤呼吸作用均具有抑制作用,且浓度越高抑制越明显.统计分析表明霸螨灵、克螨特及其混剂各浓度处理对土壤微生物的活动没有明显的影响.采用危害系数法来评价克螨特、霸螨灵及其混剂速霸螨的危害程度,各处理浓度的霸螨灵、霸螨灵及其混剂速霸螨的危害系数均不超过20,亦表明霸螨灵、霸螨灵及其混剂速霸螨对土壤微生物均属于低毒级或无实际危害级的农药.     

苯噻草胺在土壤中的吸附与解吸行为研究

采用批量平衡实验方法,研究了除草剂苯噻草胺在5种不同性质土壤中的吸附与解吸行为,并探讨了土壤有机质及溶液pH值对吸附的影响.结果表明,线性方程与Freundlich方程均能较好地拟合苯噻草胺在土壤中的吸附等温线.计算得到苯噻草胺在5种土壤中的碳标化分配系数K_oc在849.5～1?818.8 L·kg^-1之间,说明土壤对苯噻草胺有较强的吸附能力.苯噻草胺在土壤中的分配系数K_d、Freundlich常数K_f以及K_f(1/n)与土壤有机质含量均呈显著正相关.通过过氧化氢去除有机质后,土壤对苯噻草胺的吸附大大降低,说明土壤有机质是影响苯噻草胺在土壤中吸附的主要因素.对于同种土壤而言,苯噻草胺的吸附量随pH值的增大而减小.解吸实验表明,苯噻草胺在土壤中的解吸过程具有一定的滞后性,推测其在土壤中的迁移能力较差.     

自适应人工鱼群-BP神经网络算法在径流预测中的应用

为了提高水库和河流中长期径流预测精度,提出了弹性自适应人工鱼群算法(RAAFSA)。应用RAAFSA算法训练BP神经网络,实现BP神经网络参数优化,形成弹性自适应人工鱼群-BP神经网络混合算法(RAAFSA-BP),对石泉水库进行中长期径流预测。仿真计算表明,弹性自适应人工鱼群优化的BP神经网络算法收敛速度快于BP神经网络算法、人工鱼群-BP神经网络算法和RBF神经网络算法。该混合算法克服了BP神经网络和人工鱼群算法易陷于局部极值、搜索质量差和精度不高的缺点,改善了BP神经网络的泛化能力,输出稳定性好,预报精度显著提高,每次预测相对误差绝对值都小于6%,合格率达到100%。该算法成功地解决了石泉水库中长期径流预测精度不高的难题,可有效用于水库和河川中长期径流预测。     

Hexabromocyclododecane and tetrabromobisphenol A in sediments and paddy soils from Liaohe River Basin, China: Levels, distribution and mass inventory

Hexabromocyclododecane(HBCD) and tetrabromobisphenol A(TBBPA) are two kinds of brominated flame retardants and widely present in the environment and biota. The levels,spatial distributions and mass inventories of HBCD and TBBPA were investigated in sediments and paddy soils from the Liaohe River Basin in northeast China. The concentrations of ΣHBCD and TBBPA were in the range of not detected(nd) to 4.02 ng/g dry weight(dw) and 0.03 to 4.06 ng/g dw, respectively. γ-HBCD was dominated in sediments,while the abundance of α-HBCD was relatively high in paddy soils. The spatial distributions of HBCD and TBBPA in surface sediments and paddy soils indicated that the local point-input was their major source. The significant correlation between total organic carbon(TOC) contents and the HBCD levels suggested that TOC content also exerted an influence on the distribution of HBCD in sediments. Meanwhile, it was found that the irrigation with river water was not the major transportation pathway of HBCD and TBBPA in paddy soils. Based on the study, it was estimated that there were about 1.67 tons HBCD and 2.20 tons TBBPA deposited into sediments of the Liaohe River system every year. The total mass inventories of HBCD and TBBPA in sediments were far higher than that in paddy soils.     

中国近海沉积物在生源要素循环中的功能

中国近海沉积物中生源要素的含量与其粒度、河流输入等诸多因素有关。一般沉积物粒度由粗到细 ,有机质含量由低到高 ,OC ,N ,P的含量递增 ,S和Si含量递减。沉积物的生物地球化学环境涉及到Eh ,pH ,温度 ,OC含量 ,Fe3 /Fe2 值 ,水动力条件 ,沉积物的颗粒大小和间隙水的S体系 ,以及生物扰动等因素 ,它们影响着沉积物中生源要素的早期成岩过程和循环。一般而言 ,中国近海沉积物—海水界面S2 -,HS-,H4SiO4,PO43 -,NH4 的扩散通量是从沉积物向上覆水 ,而SO42 -,HCO3 -,NO3 -,NO2 -的扩散通量从上覆水向沉积物中扩散。生物扰动对沉积物—海水界面生源要素的循环起重要作用。     

接枝羧基壳聚糖的合成及其对重金属离子的吸附性能

以壳聚糖为基体,经环氧氯丙烷交联,制备了水不溶性交联壳聚糖,然后以Ｆｅ＾２＋－Ｈ２Ｏ２为引发剂,将丙烯腈单体接枝到ＣＣＴＳ分子骨架上,经皂化制得了水溶性接枝羧基壳聚糖聚合物。     

改进取样方法提高含油废水中CODcr值的准确度

化学需氧量(CODcr)和石油类都是中国实施水污染物排放总量控制指标,也是环境监测的常测项目.CODcr是反映水体中受还原性物质主要是有机物污染程度的综合性指标.矿物油和动、植物油统称为油类,是废水中常见的有机污染物,对CODcr的贡献较大.探索水体中CODcr值与油类物质含量之间的相关性,对CODcr值准确性的判断有一定指导意义.改进含油废水的取样方法,有利于提高CODcr测定值的准确性和代表性.     

Identifying water resources management strategies in adaptation to climate change under uncertainty

In this study, an integrated simulation-based allocation modeling system (ISAMS) is developed for identifying water resources management strategies in response to climate change. The ISAMS incorporates global climate models (GCMs), a semi-distributed land use-based runoff process (SLURP) model, and a multistage interval-stochastic programming (MISP) approach within a general framework. The ISAMS can not only handle uncertainties expressed as probability distributions and interval values but also reveal climate change impacts on water resources allocation under different projections of GCMs. The ISAMS is then applied to the Kaidu-kongque watershed with cold arid characteristics in the Tarim River Basin (the largest inland watershed basin in China) for demonstrating its efficiency. Results reveal that different climate change models corresponding to various projections (e.g., precipitation and temperature) would lead to changed water resources allocation patterns. Variations in water availability and demand due to uncertainties could result in different water allocation targets and shortages. A variety of decision alternatives about water allocations adaptive to climate change are generated under combinations of different global climate models and ecological water release plans. These findings indicate that understanding the uncertainties in water resources system, building adaptive methods for generating sustainable water allocation patterns, and taking actions for mitigating water shortage problems are key adaptation strategies responding to climate change.