分布式电源对配电网静态电压稳定性的影响

为研究分布式电源(Distributed Generation,DG)的接入对配电网电压稳定性的影响,利用一种新的前推回代潮流算法分析配电网各节点的静态电压稳定裕度指标,并通过对 IEEE33 系统的计算,分析 PQ、PV 型 DG 以不同方式并网对配电网静态电压稳定性的影响。分析结果表明:利用本算法可实现配电系统负荷按相同比例增长,正确判断系统所能承受的负荷增长     

基于多源数据的PM2.5浓度时空分布预测与制图

随着我国经济、工业化、城市化进程迅速发展,PM_(2.5)污染在中国已经成为一个极端的环境和社会问题,并引起广泛关注.采用新技术估算的地表PM_(2.5)质量浓度,收集并处理了遥感反演的气溶胶光学厚度(AOD),气象数据,其他地理数据和污染物排放数据,采用贝叶斯最大熵(BME)结合地理加权回归(GWR)来分析2015年冬季的PM_(2.5)暴露在我国东部大范围区域的时空变异特征.结果表明,BME模型的十折交叉验证结果的决定系数R~2为0.92,均方根误差(RMSE)为8.32μg·m~(-3),平均拟合误差(MPE)为-0.042μg·m~(-3),平均绝对拟合误差(MAE)为4.60μg·m~(-3),与地理加权回归模型的结果相比(R~2=0.71,RMSE=15.68μg·m~(-3),MPE=-0.095μg·m~(-3),MAE=11.14μg·m~(-3)),BME的预测结果有极大的提高.空间上,PM_(2.5)高浓度地区主要集中在华北、长江三角洲、四川盆地,低浓度地区主要集中在中国的最南部如珠江三角洲和云南的西南部;时间上,不同月份的研究区域PM_(2.5)空间分布所有差别,2015年的12月、2016年1月PM_(2.5)污染最为严重,2015年的11月,2016年的2月污染相对较低.     

基于摩擦纳米发电机的微塑料实时检测实验研究

采用基于自供电的摩擦纳米发电机(TENG)技术,设计开发了一种利用间断液柱检测水样内微塑料颗粒尺寸和丰度的实时快速检测方法和装置,并通过实验测试完成了对微塑料的尺寸形貌表征和化学元素组成的实时高效检测.研究发现,去离子水中加入微塑料颗粒时,溶液中zeta电位降低,改变了管壁表面的极化电场方向;随着水溶液中微塑料颗粒直径或丰度的增加,开路电压呈现减小趋势,50μm时减小了43.1%,0.250%浓度时减小了79.6%;微塑料颗粒对自来水的开路电压影响显著,以10μm微塑料颗粒为例,开路电压减小了20%,证明了TENG技术对海洋微塑料检测的可行性.     

2015年中国城镇污水处理厂达标排放评估

基于2015年3364座中国城镇污水处理厂在线监测数据(小时级),借鉴欧盟排放标准达标评估方法,分析了不同维度条件下,城镇污水处理厂污染物排放达标率情况(日均值)。结果表明:按污水厂污染物全年日均值95%保证率,2015年全国城镇污水处理厂化学需氧量(COD)、氨氮(NH_3-N)排放达标率分别为94%、80%。从省份来看,天津、江西、河南、四川和山东COD达标率均为100%,天津、山东、江苏NH_3-N达标率分别为100%、95%和95%;从处理厂排入水体的类型来看,排入Ⅳ类、Ⅴ类水体的排口达标率较高,达到了97%以上。中国在线监测污水处理厂处理工艺主要为氧化沟、A~2/O、SBR,从污水处理工艺的达标率来看,氧化沟、A~2/O等工艺处理COD、NH_3-N效果较好。     

Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model

Drybeans (Phaseolus vulgaris L.) are an important subsistence crop in Central America. Future climate change may threaten drybean production and jeopardize smallholder farmers’ food security. We estimated yield changes in drybeans due to changing climate in these countries using downscaled data from global circulation models (GCMs) in El Salvador, Guatemala, Honduras, and Nicaragua. We generated daily weather data, which we used in the Decision Support System for Agrotechnology Transfer (DSSAT) drybean submodel. We compared different cultivars, soils, and fertilizer options in three planting seasons. We analyzed the simulated yields to spatially classify high-impact spots of climate change across the four countries. The results show a corridor of reduced yields from Lake Nicaragua to central Honduras (10–38 % decrease). Yields increased in the Guatemalan highlands, towards the Atlantic coast, and in southern Nicaragua (10–41 % increase). Some farmers will be able to adapt to climate change, but others will have to change crops, which will require external support. Research institutions will need to devise technologies that allow farmers to adapt and provide policy makers with feasible strategies to implement them.     

西安市汉城湖浮游植物群落结构与水质状况分析

为探究汉城浮游植物群落结构特点并确定水体营养化程度,于2015年对汉城湖水体浮游植物群落结构和主要理化因子进行了调查与分析。结果表明:共检测出浮游植物7门44属,其中绿藻门19属,蓝藻门10属,硅藻门6属,金藻门3属,隐藻门、甲藻门和裸藻门各2属;浮游植物细胞密度变化范围为1.42×10~4~24.18×10~4个/L,平均值为11.20×10~4个/L;浮游植物主要优势属为鞘丝藻属(Lyngbya)、锥囊藻属(Dinobryon)、隐藻属(Cryptomonas)、蓝隐藻属(Chroomonas)、平裂藻属(Merismopedia)、裸藻属(Euglene)和裸囊藻属(Trachelomonas)等;浮游植物优势种、污染指示种、多样性指数和水体综合营养状态指数TLI(∑)的综合分析显示,汉城湖水体整体处于中-富营养化状态,秋季水质最差,春季水质最好,氮、磷的含量有逐渐增加的趋势,水体从上游至下游逐渐被净化。     

Genetic structure of the southeastern United States loggerhead turtle nesting aggregation: evidence of additional structure within the peninsular Florida recovery unit

The southeastern United States supports one of two large loggerhead turtle (Caretta caretta) nesting aggregations worldwide and is therefore critical to global conservation and recovery efforts for the species. Previous studies have established the presence of four demographically distinct nesting populations (management units) corresponding to beaches from (1) North Carolina through northeastern Florida, (2) peninsular Florida, (3) the Dry Tortugas, and (4) northwest Florida. Temporal and geographic genetic structure of the nesting aggregation was examined utilizing partial mitochondrial control region haplotype frequencies from 834 samples collected over the 2002 through 2008 nesting seasons from 19 beaches as well as previously published haplotype data. Most rookeries did not exhibit interannual genetic variation. However, the interannual variation detected did significantly impact the interpretation of spatial genetic structure in northeastern Florida. Based on pairwise F _ST comparisons, exact tests of population differentiation, and analysis of molecular variance, the present study upholds the distinctiveness of the four currently recognized management units and further supports recognition of discrete central eastern, southern (southeastern and southwestern), and central western Florida management units. Further subdivision may be warranted, but more intensive genetic sampling is required. In addition, tools such as telemetry and mark-recapture are needed to complement genetic data and overcome limitations of genetic markers in resolving loggerhead turtle rookery connectivity in the southeastern USA.