Field crops (Ipomoea aquatica Forsk. and Brassica chinensis L.) for phytoremediation of cadmium and nitrate co-contaminated soils via rotation with Sedum alfredii Hance

Environmental Science and Pollution Research - Phytoremediation coupled with crop rotation (PCC) is a feasible strategy for remediation of contaminated soil without interrupting crop production....     

Spatial variation and toxicity assessment for heavy metals in sediments of intertidal zone in a typical subtropical estuary (Min River) of China

Environmental Science and Pollution Research - Sediment samples were collected in five marshes (C1, Phragmites australis marsh; C2, P. australis and Cyperus malaccensis marsh; C3, C. malaccensis...     

Factors influencing farmers’ decisions on nitrogen fertilizer application in the Liangzihu Lake basin,Central China

Overuse of nitrogen (N) fertilizers in agriculture activities has caused severe water pollution in China. The lack of data at producer level hampers decision makers in the development and implementation of efficient policies to curb excessive N-fertilizer use. In a survey of 300 farm households in the Liangzihu Lake basin, we identified factors associated with farmers’ decisions on N-fertilizer use and application rate. Household survey and multiple linear regression models indicate that the average application rate in the study region is 229 kg N ha^?1, which exceeds the recommended rate for maximum profit for cereal crops (maize, wheat, and rice) in China of 150–180 kg N ha^?1. High N-application rates are associated with low farmland productivity (coefficient = ?15.66, p = 0.02), a high share of off-farm income (coefficient = 27.14, p = 0.003), and a low education level of the household head (coefficient = ?10.83, p = 0.039). Neither physical infrastructure nor access to input markets appears to be related to N-application rates. It may be concluded that excessive use of N in agriculture of Central China is mainly a problem of insufficient awareness and high share of off-farm income.     

Validation of temporal and spatial consistency of facility- and speed-specific vehicle-specific power distributions for emission estimation: A case study in Beijing,China

Vehicle-specific power (VSP) has been found to be highly correlated with vehicle emissions. It is used in many studies on emission modeling such as the MOVES (Motor Vehicle Emissions Simulator) model. The existing studies develop specific VSP distributions (or OpMode distribution in MOVES) for different road types and various average speeds to represent the vehicle operating modes on road. However, it is still not clear if the facility- and speed-specific VSP distributions are consistent temporally and spatially. For instance, is it necessary to update periodically the database of the VSP distributions in the emission model? Are the VSP distributions developed in the city central business district (CBD) area applicable to its suburb area? In this context, this study examined the temporal and spatial consistency of the facility- and speed-specific VSP distributions in Beijing. The VSP distributions in different years and in different areas are developed, based on real-world vehicle activity data. The root mean square error (RMSE) is employed to quantify the difference between the VSP distributions. The maximum differences of the VSP distributions between different years and between different areas are approximately 20% of that between different road types. The analysis of the carbon dioxide (CO₂) emission factor indicates that the temporal and spatial differences of the VSP distributions have no significant impact on vehicle emission estimation, with relative error of less than 3%.

Implications: The temporal and spatial differences have no significant impact on the development of the facility- and speed-specific VSP distributions for the vehicle emission estimation. The database of the specific VSP distributions in the VSP-based emission models can maintain in terms of time. Thus, it is unnecessary to update the database regularly, and it is reliable to use the history vehicle activity data to forecast the emissions in the future. In one city, the areas with less data can still develop accurate VSP distributions based on better data from other areas.     

基于布谷鸟搜索优化的光伏电站辐照强度预测

针对光伏电站日前小时短期辐照强度的预测准确性问题,且考虑到支持向量机的学习参数对预测模型的性能有较大影响,为进一步提高数据的预测精度,利用布谷鸟搜索算法对支持向量机的惩罚因子c和核参数g进行优化,提出了一种基于布谷鸟搜索算法和支持向量回归的组合预测方法。仿真结果表明:该方法大大提高了光伏辐照强度预测的准确性和精度,可行且高效,适用于光伏在线预测。     

上埋式管道穿越高填方填挖结合部位的受力状态研究

以延安新区黄土高填方工程中的上埋式排水管道为原型,开展了相似比为1:2的室内试验,试验前在模型箱底部一定位置预设沉降底板模拟实际填方的工后沉降过程,在试验土体和管道中布设压力盒、位移计和应变片,以采集试验过程中的管土接触压力、管-土相对位移和管道应变等数据。研究表明,负土拱效应对管道的上部压力影响明显,竖向压力系数最大达3.4,与沉降量的关系符合三次多项式曲线,负土拱效应对管道的影响不可忽略。开挖纵向剖面后发现管道下部土层间出现明显的脱空裂缝,是管道下部管-土接触压力减小的原因。该成果为黄土高填方场地中管周土压力的计算、管道变形控制提供参考。     

Future of global governance and climate change action in a changing political landscape

<正>1.Editor's note On 30 November 2016,the Brookings-Tsinghua Center for Public Policy(BTC),Caixin Video,and Columbia Global Centers(Beijing)jointly hosted a Seminar on the Future of Global Governance and Climate Change Action in a Changing Political Landscape.Leading experts on China's environmental policy and climate     

石漠化治理区小尺度土地利用变化及其驱动机制分析——以花江石漠化治理区为例

研究石漠化治理区小尺度土地利用变化,将有助于深入分析和研究喀斯特地区土地利用变化的时空变化规律、驱动力及资源环境效应。运用逐步多元回归方法,分析石漠化治理区小尺度土地利用变化及其驱动机制。研究表明:(1)2005~2012年,研究区石漠化面积有所减少,由2 824.23 hm2减少到2 777.60 hm2,减少了46.63 hm2,占2005年石漠化面积的1.65%;石漠化程度呈现从重变轻的趋势,无石漠化和中度石漠化面积分别增加12.68%和3.08%,潜在石漠化、轻度石漠化和强度石漠化分别减少5.11%、2.07%和5.24%。其中,稳定型石漠化区域面积最大,占喀斯特面积的95.40%;土地利用变化面积比重为1.15%,土地利用较为稳定。恢复型石漠化区域面积占喀斯特面积的3.95%;土地利用变化面积比重为40.64%,土地利用变化剧烈。退化型石漠化区域面积最小,仅占喀斯特面积的0.65%;土地利用变化面积比重为22.21%,土地利用变化较明显。(2)土地利用变化以园地减少为主要特征,其变化主要由农户的劳动力文化程度变化、劳动力比重变化、本地务工收入变化和外出务工收入变化等4个因子驱动产生。其中,园地变化与本地务工收入变化指数呈显著的正相关关系,回归系数为0.691;与劳动力文化程度变化指数、劳动力比重变化指数和外出务工收入变化指数呈显著的负相关关系,回归系数分别为-0.472、-9.735和-0.443。劳动力比重变化指数是引起园地发生变化的最主要驱动因子。(3)国家因生态文明建设需求而施行退耕还林(草)政策和工业化、城镇化战略,农户因脱贫致富需要而提高文化素质和调整从业行为,分别从宏观和微观两个层面促进石漠化治理区的劳动力转移和产业转型,进而共同驱动了石漠化治理区的土地利用变化。     

PCBs污染土壤的CaO诱导低温热处理脱氯研究

研究了低温热处理脱氯技术对废弃电容器封存点附近污染土壤中多氯联苯脱氯的效果,考察反应温度、反应时间及CaO添加比例对PCBs去除率、脱氯率的影响以及反应前后土壤中污染物的组分变化。实验土样中PCBs浓度为107.7 mg/g,属于罕见高浓度PCBs污染土壤。当反应温度为400℃、停留时间4h、CaO添加比例为10%,PCBs的去除率为87.7%,脱氯率为85.3%。土壤样品中五氯联苯和四氯联苯反应后含量降低或未检出,部分反应后样品检出一氯联苯和联苯,说明在CaO诱导PCBs低温热处理脱氯反应中存在逐步脱氯/加氢反应途径。     

兰坪铅锌矿区不同污染梯度下优势植物的重金属累积特征

对兰坪铅锌矿区污染程度不同的3个样地(云南松林、魁蒿群落和马桑灌丛)进行植被调查,选择其中9种共有的自然生长的优势草本植物为研究对象,测定了土壤及植物体的重金属含量。结果显示,3个样地土壤Cu、Cd、Pb和Zn等4种重金属含量均表现为马桑灌丛>魁蒿群落>云南松林;植物体内重金属积累呈现出随着土壤污染程度增加而增加的趋势;所选择的9种植物均不符合超富集植物的标准,依据不同的耐性机制将9种植物分为3类,野棉花能较强吸收土壤中重金属,并转移到地上部分,属于富集型植物;西南金丝梅、倒提壶、长籽柳叶菜、魁蒿、翻白叶和四脉金茅吸收的重金属主要积累在根部,属于根部囤积型植物;尼泊尔蓼和中华山蓼体内重金属含量较低,属于规避型植物。讨论了利用这些植物进行矿山治理。