不同生物质炭对酸雨及氧化性沉降下花生生长及累积砷镉的影响

通过温室盆栽试验,研究了普通生物质炭和铁基生物质炭对酸雨及氧化性沉降下不同生育期花生生长及累积砷、镉(As、Cd)的影响.结果表明,酸雨及50μmol·L-1H2O2沉降处理对处于花期及成熟期中花生的生物量、根瘤数和瘤干重的影响不显著(p0.05),但却显著增加了花生籽粒中Cd的含量和花生壳中As的含量(p0.05).其中,铁基生物质炭可显著降低酸雨及氧化性沉降下花生地上部、根部、籽粒、壳中累积As、Cd含量(p0.05),且作用效果明显强于普通生物质炭.由此可知,酸雨及氧化性沉降增加了花生对土壤重金属As、Cd的富集,而施加铁基生物质炭可有效降低作物的As、Cd累积,为有效防控酸雨及氧化性沉降区域的花生砷、镉重金属污染具有重要现实意义.     

典型梅雨持续性降水事件的水汽同位素特征及其成因

梅雨期持续性强降水是江淮地区重要的灾害天气,往往给降水地区带来巨大的生命与经济损失。2016年7月1—7日,南京地区经历了一场历时7 d的典型梅雨降雨过程,本文针对此次降水事件的大气水汽稳定同位素变化特征及其成因进行相关研究。研究发现：水汽稳定同位素的变化特征与大尺度有组织对流活动和大气环流有良好的对应关系。水汽稳定同位素随时间分别呈现δ¹⁸O的“U型”演化和过量氘的波动变化,二者在不同降雨阶段的演化特征可以指示产生降雨的天气系统的移动与切换,其中水汽过量氘随时间变化的极大值和极小值转折点分别反映了低涡系统开始与结束影响研究区、冷切变线消散、槽线过境以及台风外围水汽抵达研究区的时间。结果表明：多个天气系统连续作用于研究区及其带来的不同水汽源的持续供给,是此次梅雨期降水持续维持的重要条件。     

降水过量氘指示的北极冬季海冰消融及水汽变化

在全球变暖背景下,持续减少的海冰正在通过降水和蒸发改变着北极水循环。降水同位素及其过量氘参数（d）作为水循环示踪剂对北极水文气候变化研究具有重要帮助,但由于观测资料匮乏,目前有关北极水循环的同位素示踪研究鲜有报道。本文以冬季海冰主要消融区——巴伦支—格陵兰海（BGS）为例,调查了BGS冬季降水d值与海冰和大气环流的关系。结果表明：BGS降水d值与海冰范围呈显著正相关,而与巴伦支—喀拉海（BKS）反气旋指数呈显著负相关。BGS降水d主要受海冰变化导致的局地蒸发控制,当海冰减少时,局地蒸发水汽增加,贡献了更多低d的降水。增强的BKS反气旋通过绝热下沉增温和向极的水热输送,加强了BGS海冰消融与局地蒸发,降低了降水d值;而较低纬地区输送水汽以高的d值为特征,其对BGS降水的直接贡献有限。该项研究从同位素的视角厘清了局地蒸发与较低纬地区水汽输送对北极降水的相对重要性,不仅有助于理解海冰减少对北极水循环的影响,也对北极古气候重建具有重要启示。     

沉淀分离富集-分光光度法测定海水中痕量活性磷酸盐

十六烷基三甲基溴化铵(cetyltrimethylammonium bromide,CTAB)可与磷钼蓝(phosphomolybdenum blue,PMB)生成水难溶的PMB-CTAB离子缔合物沉淀,从而分离富集水溶液中的PMB。该沉淀易溶于硫酸乙醇溶液,溶液在700 nm有强吸收,基于此建立了沉淀分离富集-分光光度法测定海水中痕量活性磷酸盐的新方法。对溶剂酸度、试剂用量、反应时间与温度等实验参数进行了优化选择,并考察了盐度对测定结果的影响。实验结果表明,PMB可被CTAB有效地定量沉淀;盐度在15~45范围内,对测定结果无影响。在优化的实验条件下,以盐度为35的人工海水为基底,做空白加P标实验,方法的线性范围为0.30~8.00μg/L,平均回收率为95.0%,方法检测限为0.10μg/L。对实际海水中痕量活性磷酸盐进行测定,相对标准偏差(RSD)为4.4%~7.1%,与广泛采用的MAGIC法比较,置信度为99%时结果无显著差异。新方法具有消耗试样体积少、测定速度快等优点。     

Effect of humic substances on the precipitation of calcium phosphate

For phosphorus （P） recovery from wastewater, the effect of humic substances （HS） on the precipitation of calcium phosphate was studied. Batch experiments of calcium phosphate precipitation were undertaken with synthetic water that contained 20 mg/L phosphate （as P） and 20 mg/L HS （as dissolved organic carbon, DOC） at a constant pH value in the range of 8.0-10.0. The concentration variations of phosphate, calcium （Ca） and HS were measured in the precipitation process; the crystalline state and compositions of the precipitates were analysed by powder X-ray diffraction （XRD） and chemical methods, respectively. It showed that at solution pH 8.0, the precipitation rate and removal efficiency of phosphate were greatly reduced by HS, but at solution pH ≥9.0, the effect of HS was very small. The Ca consumption for the precipitation of phosphate increased when HS was added; HS was also removed from solution with the precipitation of calcium phosphate. At solution pH 8.0 and HS concentrations ≤3.5 mg/L, and at pH ≥ 9.0 and HS concentrations ≤ 10 mg/L, the final precipitates were proved to be hydroxyapatite （HAP） by XRD. The increases of solution pH value and initial Ca/P ratio helped reduce the influence of HS on the precipitation of phosphate.     

Rainfall Interception Based on Indirect Methods: A Case Study in Temperate Forests in Oaxaca,Mexico

Rainfall interception represents the amount of water trapped in natural cover that is not drained directly to the ground. Intercepted rainfall may evaporate after a rain event, making it one of the main drivers of water balance and hydrologic regionalization. This process can be affected by factors such as climate, altitude, vegetation type, and topography. Here is a simple method of calculating rainfall interception in temperate forests using in Santa Maria Yavesia, Oaxaca, and Mexico as an illustrative study area. We used two rain gauges to measure net precipitation (N_p) under the canopy at each study site and one gauge outside the canopy to obtain gross precipitation (G_p). Throughfall (T_h) was indirectly measured using hemispherical photographs. Rainfall interception was obtained through a combination T_h and G_p and N_p. The mean rainfall interception was 50.6% in the Abies forests, 23%–40% in the coniferous‐mixed forests, and 27.4% in the broad‐leaved forests. We classified rainfall events by intensity to determine the effect of canopy structure and precipitation and found that 75% of the events were weak events, 24% were moderate events, and 1% were strong events. In addition, we found that rainfall interception was lower when the intensity of precipitation was higher. Our method can be replicated in different ecosystems worldwide as a tool for assessing the influence of rainfall interception in terms of ecological services.     

Use of Predictive Weather Uncertainties in an Irrigation Scheduling Tool Part II: An Application of Metrics and Adjoints

We apply predictive weather metrics and land model sensitivities to improve the Colorado State University Water Irrigation Scheduler for Efficient Application (WISE). WISE is an irrigation decision aid that integrates environmental and user information for optimizing water use. Rainfall forecasts and verification performance metrics are used to estimate predictive rainfall probabilities that are used as input data within the irrigation decision aid. These input data errors are also used within a land model sensitivity study to diagnose important prognostic water movement behaviors for irrigation tool development purposes simultaneously performing the analysis in space and time. Thus, important questions such as “how long can a crop water application be delayed while maintaining crop yield production?” are addressed by evaluating crop growth stage interactions as a function of soil depth (i.e., space), rainfall events (i.e., time), and their probabilistic uncertainties. Editor’s note : This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series.     

Comparison and Evaluation of Gridded Precipitation Datasets in a Kansas Agricultural Watershed Using SWAT

Gridded precipitation datasets are becoming a convenient substitute for gauge measurements in hydrological modeling; however, these data have not been fully evaluated across a range of conditions. We compared four gridded datasets (Daily Surface Weather and Climatological Summaries [DAYMET], North American Land Data Assimilation System [NLDAS], Global Land Data Assimilation System [GLDAS], and Parameter‐elevation Regressions on Independent Slopes Model [PRISM]) as precipitation data sources and evaluated how they affected hydrologic model performance when compared with a gauged dataset, Global Historical Climatology Network‐Daily (GHCN‐D). Analyses were performed for the Delaware Watershed at Perry Lake in eastern Kansas. Precipitation indices for DAYMET and PRISM precipitation closely matched GHCN‐D, whereas NLDAS and GLDAS showed weaker correlations. We also used these precipitation data as input to the Soil and Water Assessment Tool (SWAT) model that confirmed similar trends in streamflow simulation. For stations with complete data, GHCN‐D based SWAT‐simulated streamflow variability better than gridded precipitation data. During low flow periods we found PRISM performed better, whereas both DAYMET and NLDAS performed better in high flow years. Our results demonstrate that combining gridded precipitation sources with gauge‐based measurements can improve hydrologic model performance, especially for extreme events.     

好氧颗粒污泥在生物强化除磷中的应用

结合近年来好氧颗粒污泥的最新研究成果,分析了好氧颗粒污泥的物理、化学、生物学、结构特征,并从生物除磷、反硝化除磷和沉淀作用三方面对好氧颗粒污泥除磷现象进行探讨。旨在为好氧颗粒污泥在生物强化除磷中的实际应用提供理论知识。     

降水中甲酸、乙酸和草酸的离子色谱法测定及样品保存研究

甲酸、乙酸和草酸是降水中有机酸的主要成分。研究选用离子色谱法同时测定降水中的甲酸、乙酸和草酸,并对降水样品中3种有机酸的保存条件进行了研究。优化后的色谱条件为4. 0 mmol/L Na_2CO_3和1. 2 mmol/L NaHCO_3混合淋洗液,淋洗液流速为1. 0 m L/min,进样体积为200μL,电导池温度为30℃,柱温为室温。甲酸、乙酸和草酸的检出限分别为0. 002、0. 005、0. 005 mg/L,实际降水样品测定时平行样的相对标准偏差为1. 4%～12%,加标回收率为95%～118%。样品采集后需尽快用0. 45μm聚醚砜微孔滤膜过滤,4℃以下冷藏密封保存,2 d内测定。若用氢氧化钠溶液调节p H至8～10,样品可保存7 d。