Testing and Improving Temperature Thresholds for Snow and Rain Prediction in the Western United States

The phase of precipitation at the land surface is critical to determine the timing and amount of water available for hydrological and ecological systems. However, there are few techniques to directly observe the precipitation phase and many prediction tools apply a single temperature threshold (e.g., 0°C) to determine phase. In this paper, we asked two questions: (1) what is the accuracy of default and station optimized daily temperature thresholds for predicting precipitation phase and (2) what are the regions and conditions in which typical temperature‐based precipitation phase predictions are most suited. We developed a ground truth dataset of rain vs. snow using an expert decision‐making system based on precipitation, snow depth, and snow water equivalent observations. This dataset was used to evaluate the accuracy of three temperature‐threshold‐based techniques of phase classification. Optimizing the temperature threshold improved the prediction of precipitation phase by 34% compared to using 0°C threshold. Developing a temperature threshold based on station elevation improved the error by 12% compared with using the 0°C temperature threshold. We also found the probability of snow as a function of temperature differed among ecoregions, which suggests a varied response to future climate change. These results highlight a current weakness in our ability to predict the effects of regional warming that could have uneven impacts on water and ecological resources.     

Irrigation Water Allocation Using an Inexact Two‐Stage Quadratic Programming with Fuzzy Input under Climate Change

Agricultural irrigation accounts for nearly 70% of the total water use around the world. Uncertainties and climate change together exacerbate the complexity of optimal allocation of water resources for irrigation. An interval‐fuzzy two‐stage stochastic quadratic programming model is developed for determining the plans for water allocation for irrigation with maximum benefits. The model is shown to be applicable when inputs are expressed as discrete, fuzzy or random. In order to reflect the effect of marginal utility on benefit and cost, the model can also deal with nonlinearities in the objective function. Results from applying the model to a case study in the middle reaches of the Heihe River basin, China, show schemes for water allocation for irrigation of different crops in every month of the crop growth period under various flow levels are effective for achieving high economic benefits. Different climate change scenarios are used to analyze the impact of changing water requirement and water availability on irrigation water allocation. The proposed model can aid the decision maker in formulating desired irrigation water management policies in the wake of uncertainties and changing environment.     

餐厨垃圾高温厌氧消化产沼气的试验研究

探究了温度、含固率、pH及接种率对餐厨垃圾厌氧消化产沼量的影响,并设计L9(34)正交试验进行厌氧发酵工艺优化研究。结果表明,在温度为55℃、含固率为8%(质量分数)、pH为7.00、接种率为90%(质量分数)时,厌氧发酵累积产沼量为809.0mL/g(以挥发性固体计);各影响因素对产沼量的影响大小为温度pH接种率含固率。     

城市生活垃圾和污水处理厂剩余污泥混合发酵的原料配比优化研究

以城市生活垃圾和污水处理厂的剩余污泥为混合原料,研究了混合原料的不同配比对厌氧发酵过程及产气的影响。结果表明:城市生活垃圾与剩余污泥以挥发性固体(VS)质量比为2∶1混合后,厌氧发酵效果最好,累计产气量最高,达到8 721mL,发酵后的总固体(TS)、VS、COD去除率分别达43.65%、35.98%、47.88%;各实验组在发酵过程中的pH、氨氮浓度和碱度均在合理范围内,未对厌氧发酵反应造成影响;以适当配比的城市生活垃圾和剩余污泥为混合原料,进行中温联合厌氧发酵是可行的,联合厌氧发酵可以弥补单一原料的缺陷,在一定程度上改善厌氧发酵效果。     

好氧硝化颗粒污泥的培养及其性能

为考察不同接种污泥培养好氧硝化颗粒污泥的可行性,分别采用絮状活性污泥和厌氧颗粒污泥作为接种污泥,在气升内循环序批式反应器(SBAR)中进行好氧硝化颗粒污泥的培养,探讨不同性质的种泥对好氧硝化颗粒污泥的培养及其性能影响.结果表明,以絮状活性污泥、厌氧颗粒污泥为接种污泥均可培养出好氧硝化颗粒污泥,其颗粒成熟时间分别为62和80 d,SVI为25.52和27.68 mL/g,氨氮去除率为93.15％和75.43％,COD去除率在90％以上,SOUR、Zeta和EPS显著提高,微生物活性及疏水性能增强,以絮状活性污泥培养的好氧硝化颗粒污泥性能更优.     

热处理时间对餐厨垃圾高温干式厌氧发酵的影响

餐厨垃圾中有机物大部分以大分子的形式存在,对其进行热处理,破坏大分子有机物的存在形式,将会影响其干式厌氧发酵的过程。实验对餐厨垃圾进行了热处理(100℃),处理后将其在含固率(TS)20%、接种率25%的条件下进行高温55℃厌氧发酵。实验结果表明,热处理后,餐厨垃圾的理化性质发生显著变化,累计产气量、TS和VS的去除率均增大。当热处理时间为15 min时,餐厨垃圾的SCOD值最高,为59.49 g/L,比未处理时提高了3.3倍。同样该条件下,累计产气量也最高,为2 782.8 m L,与未处理相比累积产气量提高58.30%,第二产气高峰比未处理提前3天。各发酵瓶发酵前后TS、VS去除率的变化趋势与累计产气量的变化基本一致,累计产气量越大,TS、VS的去除率越大。     

高效液相色谱-串联质谱法同时检测地表水中13种药物及个人护理品

采用高效液相色谱-串联质谱(HPLC-MS/MS)检测,建立了地表水中13种药物及个人护理品的测定方法。水样用盐酸与氢氧化钠溶液调p H值至7.0左右,过固相萃取小柱进行富集,用14 m L甲醇洗脱。以C18柱为分离柱,0.01%甲酸的甲醇-0.01%甲酸水溶液为流动相,目标物在10 min内分离,在0.50~250μg/L范围内,13种化合物峰面积与内标物质峰面积之比与质量浓度的线性关系良好(0.99),检出限在0.05~0.5 ng/L范围内。基质加标实验结果表明,13种化合物在水中的回收率分别在56.2%~123.2%之间(加标水平5 ng/m L)和58.0%~107.8%(加标水平50 ng/m L),相对标准偏差在1.60%~19.9%(n=6)之间。应用该方法测定了从2条纳污河流采集的10份水样,结果表明,除美托诺尔和普洛萘尔未被检出外,其余11药物的检出频率在30%~100%之间。在13种目标物质中,咖啡因的检测浓度最高达287.5ng/L,舒必利次之,为277.5 ng/L。本方法快速、准确,适用于地表水中PPCPs类的快速测定。     

微波消解-流动注射分光光度法测定总氮和总磷

以碱性过硫酸钾溶液为消解液,采用微波消解-流动注射分光光度法测定水中总氮和总磷。在碱性过硫酸钾溶液中氢氧化钠质量浓度为9.6g/L、微波功率为320W、消解管长度为16m的条件下,总氮和总磷的检出限分别为0.040m g/L和0.020mg/L,线性范围分别为0.040～3.500mg/L和0.020～2.500mg/L,相对标准偏差分别为1.6%和1.0%。微波消解-流动注射分光光度法应用于河水、湖水、化工废水等实际水样中总氮和总磷的测定,加标回收率分别为95.7%～98.1%和97.2%～102.2%。     

城市污水处理厂预热处理混合污泥的高温厌氧消化特性研究

针对165℃、30min预处理后的混合污泥,进行高温厌氧消化的连续试验.研究了在不同的水力停留时间(HRT)下的产气量、有机物的分解率等指标,探讨了"热处理 高温消化"实用化的可行性.结果表明,总固体(TS)为70g·L-1、预热处理后的混合污泥经高温厌氧消化,在HRT.为10、20、30d的条件下,产气率为2.82、1.70和1.19 L·L-1·d-1;降解单位COD的产气量为968、1053和1091 L·kg-1;COD分解率为47%～52%;有机物分解率与HRT的关系符合一级反应动力学关系.COD物质平衡计算结果表明,基质中50%的固态有机物被分解转化,生物气中的甲烷含量可达59.1%.本研究中的厌氧消化反应可归纳为C8.38H19.7O7.59N 3.86H2O→4.38CH4 2.99CO2 NH4 HCO3-.     

直链烷基苯磺酸盐促进剩余污泥产生短链脂肪酸的研究

采用批试试验的方法研究了十二烷基苯磺酸钠(C12-LAS)对剩余污泥在厌氧发酵过程中产生的短链脂肪酸(SCFAs)的影响.结果表明,C12-LAS的投加极大地提高了剩余污泥厌氧发酵过程中的SCFAs产量.当C12-LAS加入量低于0.1g·g-1时,SCFAs产量随着C12-LAS加入量的增加而增加,然而,当C12-LAS加入量高于0.1g·g-1时,SCFAs产量反而有所降低.从污泥产酸量以及经济成本考虑,C12-LAS的最佳投加量为0.02g·g-1,此时剩余污泥的SCFAs最大产量出现在第6天.进一步的研究表明,C12-LAS不仅促使大量的碳水化合物和蛋白质脱离污泥颗粒并溶解到液相中,而且抑制了产甲烷菌的活性.尽管剩余污泥经历着酸化过程,但由于其释放出大量的NH4 -N,污泥在整个厌氧发酵过程中的pH值逐渐升高.