粮食损失研究进展和展望

我国人多地少,粮食安全事关国家安全。因此,在重视增产的同时,需要不断关注粮食损失问题。通过回顾现有粮食损失的研究,总结文献中提出的重要问题,展望未来可能的研究方向。分析表明,现有研究主要集中在：（1）减少粮食损失的目的和效果的研究。包括增加粮食供给、保障国家安全,减少不必要的资源浪费、减轻环境压力,保障粮食质量、保证食品安全,以及增加粮食价值链参与者的利润等。（2）粮食产后各环节损失水平估计及其影响因素研究。 （3）减少粮食损失的方法研究,包括品种改良、教育培训、改进储存设施等。在对现有研究综述的基础上,提出了几点展望：未来的研究应向粮食价值链下游环节拓展,对粮食质量损失程度进行定量分析,并关注粮食的最优损失水平。     

An integrated chemical mass balance and source emission inventory model for the source apportionment of PM2.5 in typical coastal areas

The source apportionment of PM_2.5 is essential for pollution prevention. In view of the weaknesses of individual models, we proposed an integrated chemical mass balance-source emission inventory (CMB-SEI) model to acquire more accurate results. First, the SEI of secondary component precursors (SO₂, NO_x, NH₃, and VOCs) was compiled to acquire the emission ratios of these sources for the precursors. Then, a regular CMB simulation was executed to obtain the contributions of primary particle sources and secondary components (SO₄^2?, NO₃^-, NH₄⁺, and SOC). Afterwards, the contributions of secondary components were apportioned into primary sources according to the source emission ratios. The final source apportionment results combined the contributions of primary sources by CMB and SEI. This integrated approach was carried out via a case study of three coastal cities (Zhoushan, Taizhou, and Wenzhou; abbreviated WZ, TZ, and ZS) in Zhejiang Province, China. The regular CMB simulation results showed that PM_2.5 pollution was mainly affected by secondary components and mobile sources. The SEI results indicated that electricity, industrial production and mobile sources were the largest contributors to the emission of PM_2.5 gaseous precursors. The simulation results of the CMB-SEI model showed that PM_2.5 pollution in the coastal areas of Zhejiang Province presented complex pollution characteristics dominated by mobile sources, electricity production sources and industrial production sources. Compared to the results of the CMB and SEI models alone, the CMB-SEI model completely apportioned PM_2.5 to primary sources and simultaneously made the results more accurate and reliable in accordance with local industrial characteristics.     

Characterization of a new smog chamber for evaluating SAPRC gas-phase chemical mechanism

A new state-of-the-art indoor smog chamber facility (CAPS-ZJU) has been constructed and characterized at Zhejiang University, which is designed for chemical mechanism evaluation under well-controlled conditions. A series of characterization experiments were performed to validate the well-established experimental protocols, including temperature variation pattern, light spectrum and equivalent intensity (J_NO2), injection and mixing performance, as well as gases and particle wall loss. In addition, based on some characterization experiments, the auxiliary wall mechanism has been setup and examined. Fifty chamber experiments were performed across a broad range of experimental scenarios, and we demonstrated the ability to utilize these chamber data for evaluating SAPRC chemical mechanism. It was found that the SAPRC-11 can well predict the O₃ formation and NO oxidation for almost all propene runs, with 6 hr Δ(O₃ – NO) model error of –3% ± 7%, while the final O₃ was underestimated by ~20% for isoprene experiments. As for toluene and p-xylene experiments, it was confirmed that SAPRC-11 has significant improvement on aromatic chemistry than earlier version of SAPRC-07, although the aromatic decay rate was still underestimated to some extent. The model sensitivity test has been carried out, and the most sensitive parameters identified are the initial concentrations of reactants and the light intensity as well as HONO offgasing rate and O₃ wall loss rate. All of which demonstrated that CAPS-ZJU smog chamber could derive high quality experimental data, and could provide insights on chamber studies and chemical mechanism development.     

多径流出口水稻田非点源污染试验研究及验证

为验证一种水稻田非点源污染原位观测方法的准确性和适应性,以北京市上庄镇某试验水稻田为例,应用原位观测方法分别在水稻田进水口附近（4#观测点）和出水口附近（2#观测点）安装水位计观测稻田水深,利用同步观测的降雨数据以及田内5个采样点定期采集的水质数据,进行非点源污染试验研究,探究基于同一块水稻田不同位置的水深观测数据是否对该方法的应用产生影响.结果表明:①晒田期间,由于4#观测点处于相对低洼的位置,其水深数据显示4 d的无水期,与实际晒田时间相符,而2#观测点水深数据显示10 d无水.②基于2#、4#观测点水深数据得到总蒸散发和渗漏损失、总径流量以及灌溉量的相对偏差分别为1.3%、1.0%、1.8%;应用原位观测方法估算出该水稻田的灌溉量在2 620~2 710 m3之间.③基于2#、4#观测点水深得到的TN、NH₄+-N、NO₃--N、TP、COD_Cr输出系数的相对偏差在0.8%~8.0%之间.研究显示:水位计安装位置对原位观测方法应用的影响不大,且主要体现在晒田期的水深观测,建议将水位计安装在稻田相对低洼处,以确保能够完整地监测水稻生长季的水深变化;应用该方法能准确识别水稻田的径流量和灌溉量,对具有多个径流出口的水稻田非点源污染试验具有较好的准确性和适应性.      

明渠中有机质微粒沉降过程的随机游走模拟

基于明渠流动的主要特点,考虑紊动强度的垂向非均匀性,及颗粒运动的游荡效应（loitering effect）影响,对微粒运动基本方程进行改进,建立了明渠非均匀紊流中考虑游荡效应的随机游走模型,对明渠中微粒的沉降损失进行了模拟分析.模拟结果显示,不考虑游荡效应影响时,明渠中微粒的沉降损失率可用微粒沉速与水深之比计算;而在游荡效应影响下,微粒沉降损失率会发生约18%~27%的下降,下降百分比与均匀紊流中微粒沉速在游荡效应影响下的折减百分比渐近值（19~25%）基本一致.本文结论基于不考虑微粒重悬浮、游荡效应为紊流对微粒沉降的主导影响机理等前提,主要适用于对明渠中细小有机质微粒沉降至床底过程更准确的计算分析.     

智慧水务背景下的供水管网漏损控制研究进展

供水管网漏损是国内外供水行业面临的普遍难题,不仅造成大量的水资源浪费,而且带来管网水质二次污染风险.因此,管网漏损控制一直是供水行业的研究热点.尤其是近年来智慧水务的发展,使管网基础信息与运行监测数据不断完善,大大推动了管网漏损控制技术的发展.综述了管网破损预测、管网漏损识别定位、管网漏损控制方案优化、数据质量控制与漏损管理系统等方面的研究进展,并分析了当前研究的特点与不足,以期为管网漏损控制技术的发展提供借鉴.     

AO-80/201树脂/BIIR共混阻尼橡胶动态力学性能研究

目的提高丁基橡胶的阻尼性能。方法在溴化丁基中添加201酚醛树脂、受阻酚AO-80制备AO-80/酚醛树脂/BIIR共混阻尼橡胶,采用动态力学分析(DMA)方法研究共混橡胶的动态力学性能。结果 DMA测试表明,随着201酚醛树脂硫化剂用量的增大,使得材料的最佳使用温度向高温方向移动,201树脂添加10份时BIIR/酚醛树脂共混橡胶可获得最大损耗因子0.81。AO-80/酚醛树脂/BIIR共混橡胶中,AO-80的添加使材料的最佳使用温度向高温方向移动,同时AO-80/酚醛树脂/BIIR共混胶tanδ-T曲线呈现双峰特征。当AO-80添加量为30份时,材料tanδ0.3的温域为-40~60℃。同时研究了不同使用频率和不同使用温度下材料的动力学性能,研究表明,随使用频率的增高,材料的最佳使用温度向高温方向移动,材料使用温度的降低等效于高频作用。最后以约束阻尼层处理方法对新研材料进行了减振性能评估,新研材料减振降噪效果从剩余峰数、阻尼系数、剩余峰高三个方面均优于国外某先进材料。结论 AO-80/酚醛树脂/BIIR共混阻尼橡胶材料具有更好的减振降噪效果。     

不同雨强下黄土裸坡水-沙-氮磷流失耦合模拟

采用室内人工模拟降雨试验研究6种雨强3种坡度下黄土裸露坡面水沙及氮磷养分流失规律.结果表明：1）降雨强度与土壤入渗速率,坡面产流产沙量的线性拟合决定系数均大于0.8,有较好的正相关关系;2）25°黄土坡面下：NO₃^--N初始浓度较高,随降雨历时呈波动性减少,具有明显的初期冲刷效应;NH₄⁺-N初始流失浓度由90mm/h雨强下0.6057mg/L增至120mm/h的1.3076mg/L,但其浓度随降雨历时均不断减小;TN流失浓度在雨强为90,105和120mm/h时分别为0.6056,0.8011和1.3076mg/L,随雨强增大而增大;TP初始流失浓度在105mm/h时最大,90mm/h时最小,且不同雨强下TP流失浓度相互交错,不稳定;3）养分流失与坡面产流量具有较强的线性相关性,与产沙量呈显著的幂函数关系.15°坡面时,氮素流失在6种雨强下均以颗粒态为主,平均约占72%,但在雨强增大过程中,颗粒态所占比例先减少后增加;而磷素流失颗粒态所占比例均大于90%,与降雨强度和坡度均没有直接关系.     

基于区间直觉模糊信息TODM法的水利工程应急决策研究

为更合理地进行应急方案比选,减少不确定因素和决策者偏好对决策结果的影响,构造了1种更加适应水利工程应急决策的模型。针对应急决策环境的模糊性和不确定性,引入区间直觉模糊集表达评价信息,采用区间直觉模糊熵计算各指标权重;通过构造备选方案两两比较矩阵,运用区间直觉模糊距离测度公式计算方案间的损益值;结合TODIM法计算各方案相对占优度并进行比较排序,确定最优方案。研究结果表明:在损失规避系数确定的前提下,选择任一区间直觉模糊距离公式都不影响方案的优劣排序,决策模型具有一定的可靠性和稳定性。