腐殖酸及酸雨对贫铀在土壤中迁移的影响研究

 利用经过完善的贫铀迁移模型,研究腐殖酸(HA)及酸雨对贫铀在土壤中迁移的影响.结果表明,对照组(北京地区土壤)DU迁移到达9~11cm,分别添加2%、5%、10%HA的实验组DU迁移依次降低,分别为21~23cm、15~17cm、11~13cm,说明腐殖酸促进了DU迁移; pH值为4.0和3.0的模拟酸雨,分别使贫铀迁移至29~31cm及35cm以上,说明酸雨促进了贫铀迁移;在酸雨和腐殖酸综合作用下贫铀迁移仅到5~7cm,说明腐殖酸和酸雨综合作用抑制了贫铀迁移.     

模拟雨水对工业烧渣中重金属浸出特性的研究

采用《固体废物浸出毒性浸出方法—水平振荡法》(HJ557-2010)对工业固体烧渣中重金属进行浸出试验研究,并利用火焰原子吸收分光光度法分别测定了其浸出液中的铅、铬、锌、镉、铜、铁和镍等7种重金属,用可见分光光度法测定砷,考察了模拟酸雨的pH值、液固比和浸取时间等因素对烧渣中重金属的浸出试验的影响,实验结果表明烧渣中各重金属的浸出值均未超出国家标准《危险废物鉴别标准—浸出毒性鉴别》(GB5085.3-2007)中的允许值,可直接作为建筑材料或路基材料使用。     

宁波市区近十年酸雨污染趋势分析

采用2001-2010年宁波市区降水监测数据,对宁波市区的酸雨污染现状及2001年以来的变化趋势分析,结果表明:酸雨频率居高不下,且降水酸度并未减弱,宁波市区酸雨的污染类型处于硫酸型向硫酸与硝酸混合型转变的过渡期。并根据宁波市区实际情况提出相应防治对策。     

丹东市降水pH值及酸雨分析

分析2013年大气降水pH值及近10年历史演变的方法分析丹东市酸雨污染现状、特征,并从污染源和气候条件解释酸雨形成的原因,确定酸雨的形成受外来空气污染物影响较大,而酸雨强度的大小具有本地环境条件和环境污染特征。     

1992~2012年福州市和厦门市酸雨变化特征及影响因素

利用1992~2012年福州市和厦门市的酸雨观测资料、天气形势和大气污染物浓度资料,分析酸雨变化特征及酸雨可能的影响因素.结果表明,福州市非酸雨和酸雨频率分别为38.1%和61.9%,厦门市分别为40.6%和59.4%;福州市年均降水pH值在4.1~5.5之间,2007年之后酸雨污染减轻,厦门市2006年之后酸雨污染减轻;冬、春季节酸雨污染重,夏、秋季节酸雨污染轻.降水强度能改变降水的酸性程度;福州市在东南(SE)、西南(SW)、西(W)、西北(NW)风向下酸雨污染较严重,厦门市在东北(NE)、SW、W、NW风向下酸雨污染较重;变性冷高压下酸雨污染最重,台风(热带辐合带)及其外围的天气形势下酸雨污染最轻;福州市大气污染物SO2、NO2、PM10浓度与降水pH值呈负相关关系.     

南京企业雨排和清下水排口排放现状及对策研究

对南京典型工业企业雨排及清下水排口水质排放情况进行监测分析,摸清排放现状,分析成因.并提出对策和建议,要求环境管理部门加强对工业企业雨污分流的监管,各地方可以根据实际情况制定相应的地方标准.以南京为例,加大对工业企业雨排和清下水排口的监测管理力度,把工业企业雨排和清下水排口纳入正常的监测计划,对出现超标以及雨排或清下水排口排放量超过40吨/天的工业企业应安装污染源在线监控系统.最终倒逼企业加强环境管理,减少对外环境的影响.     

城市雨水径流污染控制技术

城市雨水径流特别是初期雨水污染严重,是水体富营养化、水华以及海域赤潮等环境问题产生的根源之一.分析了径流污染产生的特点,概括了城市雨水径流污染控制的必要性,并着重论述了径流污染控制技术.     

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.     

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.     

近50年鄱阳湖五大流域降水变化特征研究

基于鄱阳湖流域在江西省内部分对应的79县市气象站1960～2006年逐日降水观测资料,采用线性回归的方法分别研究五大流域的年降水量、降水日数、暴雨日数等3要素的变化趋势,并用Mann法进行了变化趋势的显著性检验,用距平与均方差之比达到15和20作为气候异常检验指标,对各流域的各时间序列进行了异常检验,采用了Mann Kendall法对各时间序列进行突变检测。结果表明：（1）各流域的年降水量变化趋势基本一致,年降水量与年暴雨日数密切相关;饶河流域强降水事件较多,降水强度大,赣江中游流域降水时间分布相对较均匀,强降水事件较少;（2）各流域年降水量、暴雨日数总体呈波动上升趋势,20世纪90年代以来暴雨日数异常偏多的概率最大;（3）年降水日数以20世纪80年代中期为界,之前呈波动上升趋势,之后呈波动下降趋势,2002年至今各流域降雨日数明显偏少;（4）各流域的年降水量、降水日数、暴雨日数均未出现趋势性的突变;（5）近50年来鄱阳湖流域降水时间分布不均的情况加剧,旱涝灾害风险增加。