Characterizing Drought in Irrigated Agricultural Systems: The Surface Water Delivery Index (SWDI)

Quantifying surface water shortages in arid and semiarid agricultural regions is challenging because limited water supplies are distributed over long distances based on complex water management systems constrained by legal, economic, and social frameworks that evolve with time. In such regions, the water supply is often derived in a climate dramatically different from where the water is diverted to meet agricultural demand. The existing drought indices which rely on local climate do not portray the complexities of the economic and legal constraints on water delivery. Nor do these indices quantify the shortages that occur in drought. Therefore, this research proposes a methodological approach to define surface water shortages in irrigated agricultural systems using a newly developed index termed the Surface Water Delivery Index (SWDI). The SWDI can be used to uniformly quantify surface water deficits/shortages at the end of the irrigation season. Results from the SWDI clearly illustrate how water shortages in droughts identified by the existing indices (e.g., SPI and PDSI) vary strongly both within and between basins. Some surface water entities are much more prone to water shortages than other entities based both on their source of water supply and water right portfolios.     

Evaluating the impact of uncertainty and variability on the value chain optimization of a forest biomass power plant using Monte Carlo Simulation

Mathematical programming models have been used to optimize the design and management of forest bioenergy supply chains. A deterministic mathematical model is beneficial for making optimum decisions; however, its applicability to real-world problems may be limited because it does not capture all the complexities, including uncertainties in the parameters, in the supply chain. In this paper, a combination of Monte Carlo Simulation and optimization model is used to evaluate the impact of uncertainty in biomass quality, availability and cost, and electricity prices on the supply chain of a forest biomass power plant. The optimization model is a deterministic mixed integer non-linear model with monthly time steps over a 1-year planning horizon. Variability in biomass quality, i.e. moisture content (MC) and higher heating value (HHV), based on the historical data of a real case study is studied in detail and fitted probability distributions are used in the model, while for electricity prices different scenarios are considered. The results show that the impact of variability in the MC on profit is higher than that of uncertainty in HHV. It is observed that the annual profit ranges between $13.3 million and $17.9 million in the presence of all possible uncertainties while its average is $15.5 million. Uncertainty in biomass availability and cost and electricity price results in the risks of having annual profit of less than $14 million and low monthly storage levels.     

基于效果-效率-适应性的养殖废弃物资源化利用管理模式评价框架构建及初步应用

由于产业发展正处于转型阶段,我国畜禽养殖污染治理中的管理问题比技术问题更加突出,选择适宜的组织管理模式尤其重要。融合了效果分析、效率评价和适应性分析,尝试构建一个养殖废弃物资源化利用管理模式综合评价框架,并选择太湖流域4个不同类型的典型案例进行方法例证。研究表明,传统的养殖企业主导型管理模式应用于小型、分散养殖废弃物资源化利用时面临着经济效率低、适应性差难题;农村废弃物处理中心、种植企业和有机肥企业的参与可以改善小型、分散养殖废弃物资源化利用的经济效率;综合考虑效果、效率与适应性,种植企业、有机肥企业主导型模式的适宜推广范围更广。应根据不同地区种植-养殖产业关系、污染治理需求、经济发展水平与政府投入能力等,灵活组合应用不同管理模式。     

两株溶藻细菌的分离鉴定及其溶藻特性

从富营养化池塘中筛选分离出两株溶藻细菌L7和L18,通过生理生化实验及16SrDNA测序进行鉴定,对其单一以及混合菌液去除铜绿微囊藻(Microcystis aeruginosa)、水华鱼腥藻(Anabaena flos-aquae)的效果进行研究,并考查其溶藻方式。结果表明:菌液的滤液有溶藻效果,溶藻细菌具有间接溶藻特性;细菌需要一定的初始浓度才能有明显的溶藻效果,初始浓度越高,溶藻效果越好;溶藻效果大致趋势为混合菌液>L18>L7;不同生长时期溶藻菌,其滤液的溶藻效果差异很大,衰减期的滤液溶藻效果好于对数生长期和稳定期的;滤液投加体积分数与溶藻效果成正相关;细菌鉴定结果表明,L7为蜡状芽孢杆菌(Bacillus cereus),L18为短小芽孢杆菌(Bacilluspumilus)。     

循环序批式活性污泥反应器的调试及运行

介绍了循环序批式活性污泥反应器的工艺流程及设计参数、调试和运行情况,分析探讨了系统运行中出现的一些问题。稳定运行期间的检测结果表明,反应器对COD和NH3-N具有较好的去除效果,平均去除率分别达到86.2%和92.1%,但对TP的去除率有待提高。     

高强度好氧生物反应器处理制药废水的启动和稳定性试验研究

高强度好氧反应器(jet-loop compact reactor,JLCR)采用射流曝气强制溶氧.对JLCR处理制药废水进行了试验研究,考察了JLCR的运行效果、反应器的启动与污泥驯化、抗冲击负荷性能以及污泥沉降性能等.初步结果表明,该系统启动时间较短,运行稳定,COD去除效果较好.进水COD为8000 mg/L左右时,去除率达到80%.     

微波消解-分光光度法测定COD的研究

通过试验研究,提出了测定COD的新方法——微波消解-分光光度法。该方法准确度、精密度符合分析要求,与国标中回流法的测定结果没有显著差异。而且采用该方法测定COD可克服回流法、微波消解-滴定法及HACH-COD测定法的操作复杂、耗时长等缺点。     

低溶解氧和磷缺乏引发的非丝状菌污泥膨胀及控制

针对污泥培养过程中出现的非丝状菌污泥膨胀,分析了发生膨胀后污泥的特征、性状及其降解污染物性能.反应器中低溶解氧浓度（0～0.7mg/L）和低P/BOD₅值(0.78/100) 2种因素共同作用导致污泥膨胀.污泥胞外多聚糖含量越高,污泥憎水性越小,SVI也越高.通过提高溶解氧浓度和P/BOD₅值,可使污泥沉降性能得到恢复.此外,向膨胀污泥中投加多孔填料,在不降低处理效能的情况下,很快使系统免受污泥沉降性能恶化的困扰,而向膨胀污泥中投加强氧化剂NaClO并不能有效控制污泥膨胀.     

丙酸的加入对厌氧-低氧同时生物除磷脱氮系统的影响

2个实验室规模的序批式反应器（SBRs）在厌氧-低氧（0.15～0.45 mg·L^-1）条件下运行,以比较丙酸的加入对同时生物除磷脱氮系统的影响.结果表明,无论是丙酸与乙酸的混合酸（碳摩尔比为1.5/1）作为碳源（SBR1）,还是乙酸作为单独碳源（SBR2）,系统都发生同步硝化反硝化和磷的去除（SNDPR）,并且氨氮被全部氧化,系统中没有亚硝酸盐的大量累积.与SBR2相比,SBR1中厌氧阶段磷释放量少,聚羟基戊酸（PHV）合成量高,好氧末磷剩余量少,硝态氮累积少,因此SBR1中总氮和总磷的去除率（分别为68%和95%）比SBR2（分别为51%和92%）高,加入丙酸有助于SNDPR系统保持较好的除磷、脱氮效果.     

吸附模式对有机物光催化降解的影响2.H-酸在TiO2表面的光催化降解途径

水溶液中H-酸通过磺酸基团吸附在TiO2表面,UV照射TiO2所产生的自由基首先进攻吸附在TiO2表面的磺酸基团,从而进一步导致萘环开环.pH 2.5条件下,虽然饱和吸附量较大,但由于H-酸仅通过一个磺酸基团吸附在TiO2表面,过程中产生的硫酸根速率较慢,最终的光降解速率也较慢.pH 5.0条件下,虽然饱和吸附量较小,但由于吸附在TiO2表面的两个磺酸基团同时受到来自TiO2表面自由基的进攻,过程中产生的硫酸根速率较快,最终的光降解速率也较快.吸附模式的差异是导致H-酸在不同pH值条件下光催化降解途径和速率差异的关键因素.