A multidecadal oscillation in precipitation and temperature series is pronounced in low flow series from Puget Sound streams

In Pacific Northwest streams, summer low flows limit water available to competing instream (salmon) and out-of-stream (human) uses, creating broad interest in how and why low flows are trending. Analyses that assumed linear (monotonic) change over the last ~60 years revealed declining low flow trends in minimally disturbed streams. Here, polynomials were used to model flow trends between 1929 and 2015. A multidecadal oscillation was observed in flows, which increased initially from the 1930s until the 1950s, declined until the 1990s, and then increased again. A similar oscillation was detected in precipitation series, and opposing oscillations in surface temperature, Pacific Decadal Oscillation, and Interdecadal Pacific Oscillation series. Multidecadal oscillations with similar periods to those described here are well known in climate indices. Fitted model terms were consistent with flow trends being influenced by at least two drivers, one oscillating and the other monotonic. Anthropogenic warming is a candidate driver for the monotonic decline, and variation in (internal) climatic circulation for the oscillating trend, but others were not ruled out. The recent upturn in streamflows suggests that anthropogenic warming has not been the dominant factor driving streamflow trends, at least until 2015. Climate projections based on simulations that omit drivers of multidecadal variation are likely to underestimate the range, and rate of change, of future climatic variation.     

冷空气在北上台风“利奇马”致灾暴雨中的作用分析

利用NCEP逐6 h再分析资料、地面加密观测、探空、雷达资料,分析得出“利奇马”致灾暴雨是在长时间稳定维持的天气尺度环流背景下形成的。冷空气在降水所起的作用表现在:(1)长时间维持的弱冷空气与偏南暖湿气流交汇形成了边界层辐合线,辐射升温和暖湿气流的输送加大了辐合线两侧的温度和露点梯度,在高温高湿的有利环境下,对流在辐合线附近强烈发展。(2)高空槽后冷空气由“利奇马”环流西北侧渗入,先后形成3个冷平流中心,分别对应3个阶段的降水。(3)冷暖空气在降水区的持续辐合抬升作用增强了降水,最强降水时段发生在锋区垂直方向坡度最大的时段。(4)水平锋生有利于水汽输送和辐合抬升,垂直锋生有利于对流不稳定能量的累积和触发。冷空气形成的水平辐合和抬升造成大范围上升运动,使得锋生和垂直锋消同时存在,最强降水时段发生在水平锋生最强的时段。     

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.     

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.     

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.     

黄土沉积物中次生细粒强磁性矿物记录的古气候信息

伊犁地区位于我国新疆地区西北部,为天山山脉环绕。区内降水自西向东递增,而温 度则由于海拔高度的抬升而逐渐降低。上述地理环境有利于分析和探讨温度和降水与黄土沉积 物中次生细粒强磁性颗粒数量之间关系。本研究在伊犁河谷西部地区,对不同海拔高度黄土表 层沉积物进行样品采集。环境磁学分析结果显示：黄土沉积物中次生细粒强磁性矿物含量与降 水量之间存在很好的正相关关系,而与温度之间存在反相关关系。结合黄土高原的研究结果可 以发现：温度对黄土沉积物中次生细粒强磁性矿物的数量影响微弱,降水是控制其含量的主要 因素;即：在黄土古气候研究中,次生细粒强磁性矿物的磁化率可以作为古降水量的代用指标, 但对温度变化不敏感。     

鞍钢钢绳厂生产污水处理的工艺设计及运行效果

本文介绍了鞍钢钢绳厂生产废水处理工艺,包括沉淀系统、气浮系统、砂滤罐过滤系统。通过试验确定p H为11时,沉淀系统对Zn2+的去除率达到98.4%。通过正交试验确定当PAC用量为20 mg/L、PAM用量为2 mg/L、p H 7.5、气浮压力为1.2 Mpa时气浮系统对钢绳厂废水中SS、石油类、COD的去除率分别达到90%、70%、70%。经过砂滤罐过滤系统后废水中的SS为20 mg/L、石油类为2 mg/L、COD为48 mg/L,其去除率分别达到94%、78%、80%。     

大气降水中重金属离子特征研究

大气降水中重金属离子的研究可以反映大气污染、地表水污染的信息.通过对国内外大气降水中重金属研究现状的阐述和大气降水中重金属的来源进行理论分析,并利用实地大气降水采样分析,归纳出其中重金属的特征,监测当前大气的污染状况,从而为区域性的大气中重金属的污染评价及污染治理提供理论依据.降水中的重金属元素主要包括Pb、Mn、Zn、Cu、Cd、Cr等,通过分析测定可以为利用大气降水作为重要饮用水补给源的区域提供饮水安全保障.     

贵州典型酸雨城市大气降水化学组成特征

本研究于2012年3月~2013年2月,采集了贵州省典型酸雨城市—都匀市的大气降水,分析了其中pH、阴阳离子及重金属元素等分布特征及可能来源。研究结果表明:都匀市降水存在一定酸化现象,40.4%降水样品pH5.6。阴离子以SO42-和NO3-为主,平均含量分别为180.7μmol/L、50.7μmol/L,SO42-/NO3-值为1.44~15.62,降水属于硫酸-硝酸混合型。阳离子以NH4+是最主要的,平均值为129.8μmol/L,占无机阳离子总量的50.8%。降水中重金属元素(Cu、Zn、As、Cd、Pb、Cr)含量较低,与国内其他地区相比,Hg的含量偏高。降水中总离子浓度表现为冬、春季较高,夏、秋季较低。相关性分析表明:降水中化学组分以CaSO4、MgSO4、NH4SO4、Ca(NO3)2等为主。Ca2+与Mg2+主要来自陆源性颗粒物,NO3-、SO42-、F-主要来自化石燃料燃烧及金属冶炼,重金属元素主要来源于燃煤以及人为活动污染。     

Removal of phosphate from wastewater using alkaline residue

Alkaline residue(AR) was found to be an efficient adsorbent for phosphate removal from wastewater. The kinetic and equilibrium of phosphate removal were investigated to evaluate the performance of modified alkaline residue. After treatment by NaOH(AR-NaOH), removal performance was significantly improved, while removal performance was almost completely lost after treatment by HCl(AR-HCl). The kinetics of the removal process by all adsorbents was well characterized by the pseudo second-order model. The Langmuir model exhibited the best correlation for AR-HCl, while AR was effectively described by Freundlich model. Both models were well fitted to AR-NaOH. The maximum adsorption capacities calculated from Langmuir equation were in following manner: AR-NaOH AR AR-HCl. Phosphate removal by alkaline residue was pH dependent process. Mechanisms for phosphate removal mainly involved adsorption and precipitation, varied with equilibrium pH of solution. For AR-HCl, the acid equilibrium pH( 6.0) was unfavorable for the formation of Ca-P precipitate, with adsorption as the key mechanism for phosphate removal. In contrast, for AR and ARNaOH, precipitation was the dominant mechanism for phosphate removal, due to the incrase on pH( 8.0) after phosphate removal. The results of both XRD and SEM analysis confirmed CaHPO4·2H2O formation after phosphate removal by AR and AR-NaOH.