Development and application of a two-dimensional water quality model for theDaqinghe River Mouth of the Dianchi Lake

Water quality models are important tools to support the optimization of aquatic ecosystem rehabilitation programs and assess their efficiency. Basing on the flow conditions of the Daqinghe River Mouth of the Dianchi Lake, China, two-dimensional water quality model was developed in the research. The hydrodynamics module was numerically solved by the alternating direction iteration (ADI) method. The parameters of the water quality module were obtained through the in situ experiments and the lab analyses that were conducted from 2006 to 2007. The model was calibrated and verified by the observation data in 2007. Among the four modelled key variables that were water level, CODcr, NH3-N and PO4-P, the minimum value of the coefficient of determination (CoD) was 0.69, which mean the model performed reasonably well. The developed model was then applied to simulate the water quality changes at the downstream cross-section assuming that the designed restoration programs were implemented. According to the simulated results, the restoration programs could cut down the loads of CODcr and PO4-P about 15%, however, they would have very little effect on the NH3-N removal. Besides, the water quality at the outlet cross-section would be still in class V (3838-02), indicating more measures should be taken to further reduce the loads. The study demonstrated the capability of water quality models to support aquatic ecosystem restorations.     

雨水管道沉积物对径流初期冲刷的影响

为了避免汇水面源头以及分流制雨水管道系统中沉积的大量污染物在降雨时随雨水径流被冲刷进入水体,从而控制径流对水环境构成的冲击性污染,从理论和试验2方面分析了管道径流污染物(汇水面和管道沉积物2个来源)的流失规律.结果表明,汇水面源头污染物流失较符合源头冲刷的指数衰减模型,管道内沉积物流失可用流量曲线模型计算;管道内沉积物占管道径流污染物的比例越大,管道径流的初期冲刷现象越不明显.为了提高径流污染控制设施的效率,宜在源头进行分散控制,并加强雨水管网系统清洁维护,避免污染物的积累.     

滇池大清河河口二维水环境模型研究与应用

以滇池大清河河口为对象,根据其水动力特征,建立了二维水环境模型.其中水动力模块采用交替方向迭代法进行数值求解,水质模块中参数的取值通过2006年和2007年现场原位实验和实验室模拟实验获得,并利用2007年的实际监测数据对模型进行率定和验证.运用率定的模型,模拟了生态修复工程实施后大清河人湖控制断面的水质变化情况,以期为治理方案的优化和效果评价提供参考.     

用RBCA和CLEA模型推导土壤中苯并[a]芘的标准值

我国现行土壤环境质量标准中尚未包含苯并[a]芘(B[a]P). 分别应用2种国际上认可的RBCA和CLEA模型,获取了土壤中B[a]P的标准值,并对2种模型的计算结果和取值进行了比较. 结果表明,在目标风险水平设定为10-5时,RBCA和CLEA模型计算的住宅用地土壤B[a]P标准值分别为0.83和1.21 mg/kg;工业用地标准值分别为4.10和26.30 mg/kg. 2种模型住宅用地的标准差异不大,且与其他国家的标准水平基本接近;工业用地的标准差异较大,其中RBCA模型的结果更接近于其他国家标准,而CLEA模型的结果则明显偏高. 造成2种模型计算结果差异的原因主要来自于两方面,即模型的方法原理不同导致的暴露量计算差异以及采用的毒理学数据来源不同导致的数据水平差异. 2种模型暴露途径解析的结果均表明,经口摄入和皮肤接触是土壤污染物B[a]P人体暴露的主要途径,而口鼻吸入导致的暴露量很小.      

填埋场产气规律的模型预测

垃圾填埋产气率预测对于评估填埋场能源气体产生潜力,确定填埋气体利用方式极为关键. 通过对南京水阁垃圾填埋场的现场取样、抽气试验及工程运行等数据的分析,讨论了对于填埋气体产生的两步一级反应耦合模型的求解方法;建立了基于有机物分解数据和现场抽气试验数据的2类求解途径,并对各自的适用范围进行了分析;给出了最大产气率、最大产气率发生时间和最大产气率发生时已产气量的解析解,其中最大产气率与反应速率常数(K)和总产气量(L0)有关,最大产气率发生时间仅与K有关,而最大产气率发生时的已产气量占总产气量的比率为常数,与反应介质、反应条件等均无关. 结果表明,填埋气体两步一级反应耦合模型的预测结果与实测结果较吻合.      

Pollutants removal and simulation model of combined membrane process forwastewater treatment and reuse in submarine cabin for long voyage

A laboratory scale test was conducted in a combined membrane process (CMP) with a capacity of 2.91 m3/d for 240 d totreat the mixed wastewater of humidity condensate, hygiene wastewater and urine in submarine cabin during prolonged voyage.Removal performance of chemical oxygen demand (COD), ammonia nitrogen (NH4+-N), turbidity and anionic surfactants (LAS)was investigated under di erent conditions. It was observed that the e uent COD, NH4+-N, turbidity and LAS flocculated in ranges of0.19–0.85 mg/L, 0.03–0.18 mg/L, 0.0–0.15 NTU and 0.0–0.05 mg/L, respectively in spite of considerable fluctuation in correspondinginfluent of 2120–5350 mg/L, 79.5–129.3 mg/L, 110–181.1NTU and 4.9–5.4 mg/L. The e uent quality of the CMP could meet therequirements of mechanical water and hygiene water according to the class I water quality standards in China (GB3838-2002). Theremoval rates of COD, NH4+-N, turbidity and LAS removed in the MBR were more than 90%, which indicated that biodegradationis indispensable and plays a major role in the wastewater treatment and reuse. A model, built on the back propagation neural network(BPNN) theory, was developed for the simulation of CMP and produced high reliability. The average error of COD and NH4+-N was5.14% and 6.20%, respectively, and the root mean squared error of turbidity and LAS was 2.76% and 1.41%, respectively. The resultsindicated that the model well fitted the laboratory data, and was able to simulate the removal of COD, NH4+-N, turbidity and LAS. Italso suggested that the model proposed could reflect and manage the operation of CMP for the treatment of the mixed wastewaters insubmarine.     

基于仿真的新建污水处理厂工艺参数调试

基于ASM2D模型建立了上海某新建污水厂倒置AAO流程的数学模型,并采用该厂进、出水设计数据对模型进行校正,其中,ASM2D各组分浓度分布参考文献值.同时,通过仿真计算研究了不同温度下进水流量、污泥回流比、混合液回流比及进水流量分配比对出水总化学需氧量（TCOD）、氨氮（SNH3）、总氮（TN）、总磷（TP）及总悬浮颗粒物（TSS）的影响.结果表明,研究获得的定性和定量两方面结果可供该厂在工艺参数调试中作参考.计算机仿真技术在新建污水厂工艺参数调试中的应用可以减少调试时间,降低调试费用,取得良好的经济效益与环境效益.     

α-HCH在太湖地区环境中的长期迁移与残留的动态模拟

根据太湖地区1/4°×1/6°经纬度网格的地表特征及α-HCH施用量,建立了一个基于同精度网格系统, 包含迁移和传输2个模块的质量平衡模型. 迁移模块使用逸度方法描述α-HCH在每一个网格的多介质环境中的迁移过程,传输模块使用拉格朗日方法描述α-HCH在不同网格间的大气平流和水体径流. 模型模拟了α-HCH在研究区域开始施用至今(1952~2007年) α-HCH在5类4层土壤、气、水和底泥23个环境相中的积累、迁移和残留情况. 模拟值与实测α-HCH浓度对比验证表明两者吻合得很好. 环境温度是影响α-HCH在各环境介质中浓度的最重要因素. 模拟结果表明,在α-HCH使用时期,在土壤中的年积累趋势约为年使用量趋势的5.7%; 在停止使用后,其减少趋势为积累趋势的50%. 在α-HCH使用期间,太湖流域α-HCH的年使用量与其水-气界面沉积通量存在显著的相关性,而与土-气界面通量则无显著相关性. α-HCH停止使用后,太湖流域水-气界面通量表现为向大气的挥发,且自1985年其年挥发通量大于土-气挥发通量. 底泥是α-HCH水-气界面挥发的主要补给源. 2007年太湖流域内α-HCH大气浓度普遍高于流域外大气浓度. 整个模拟时段α-HCH的主要输出途径是流出太湖地区,且以大气平流为主;其次的减少途径是在环境介质中的降解,其中土壤降解量占绝大部分. 2007年环境中残留的α-HCH为总使用量的0.005%,以土壤残留量为主,其次是底泥.     

基于高光谱特征提取的藻类叶绿素a反演模型

选取自然界中分布较广泛的小球藻和铜绿微囊藻为研究对象,进行室内藻类光谱试验,同步测定其ρ(叶绿素a),并分别建立基于混合高斯函数的小球藻和铜绿微囊藻高光谱信息模型. 在此基础上,利用模拟退火算法实现模型的非线性参数拟合,提取这2种藻的高光谱特征,通过非线性回归分析,反演得到分解后的高光谱信息模型的峰高(h_i)与ρ(叶绿素a)的定量模型,实现对水体中小球藻和铜绿微囊藻ρ(叶绿素a)的预测. 结果表明:藻类高光谱特征提取算法能有效揭示小球藻和铜绿微囊藻的光谱本质特征,并得出相应的小球藻和铜绿微囊藻叶绿素a反演模型.      

构建湿地系统水力学参数的设计模型研究

构建湿地污水处理系统的水力学参数对于其功能的发挥起着非常重要的作用。在探讨构建湿地主要水力学设计参数的基础上,根据描述构建湿地污染物去除的几类机理模型:一级动力学模型、连续完全混合反应器模型、Monod动力学模型、Ergun公式以及对流-弥散模型,分别导出了相应的构建湿地污水处理系统水力学设计参数的计算模型并分析了不同设计模型的特点。