Analysis of the soil water balance for large-scale reforestation with <Emphasis Type="Italic">Eucommia ulmoides</Emphasis> in the hilly red soil region of southern China

Returning farmland to forests is important for the protection of ecological values. Eucommia ulmoides is considered to be a suitable species for reforestation in the hilly red soil region of southern China. The objective of this study was to investigate the relationship between the water supply and demand of an E. ulmoides plantation to provide insights into the feasibility of large-scale planting for ecological restoration and forest management activities in the hilly red soil region of southern China. With the measured precipitation, surface runoff and interflow and actual evapotranspiration (ET_c) estimated by the modified P–M model, soil water storage (SWS) was estimated based on the water balance equation. Monthly variations of SWS were then compared with in situ measured SWS. The results showed that the estimated mean monthly water losses (the sum of the surface runoff, interflow and ET_c) were 139.8 mm in a wet year and 120.0 mm in a dry year, while the measured mean monthly water input values (net precipitation) were 131.2 mm in a wet year and 70.8 mm in a dry year. Net soil water storage (ΔSWS) was negative in each month of the growing season in a dry year, but the soil water deficit was replenished during the following season. The model performance showed that the modified P–M model can be adapted to estimate the soil water storage in other forest catchments where no adequate in situ data are available. As a result of estimating the water balance and observing soil water storage in two different hydrological years, E. ulmoides is recommended as a suitable forest rehabilitation species in the study area, and a suitable plant region has been defined by the GIS technique based on the water balance model.     

芘降解菌DY-1的条件优化及降解动力学特性分析

选用已筛选出以芘为唯一碳源的假单胞菌DY-1(Pseudomonas sp.)作为芘降解菌,采用摇瓶振荡培养方法,研究了不同环境条件对菌DY-1降解芘效率的影响以及降解动力学特性。结果表明,在含芘50 mg/L的条件下培养9 d,降解率达83.2%。最适宜温度为30℃,pH值为7.5,摇床转速为120 r/min,接种量为1.5 mL;在不同培养条件下芘的降解符合一级动力学模型;低浓度Zn2+,Cd2+,Cr6+的存在对芘降解效果影响较小,Cu2+,Pb2+对芘的降解有较强的毒性;加入低浓度有机物质,蔗糖可提高DY-1芘的降解;低浓度萘或蒽的存在可促进芘的降解。     

湖北省旅游景区大气负氧离子浓度分布特征以及气象条件的影响

通过利用湖北省气象服务中心在全省27个旅游景区内建设的30个大气负氧离子自动监测站数据,对湖北省旅游景区大气负氧离子浓度分布特征及气象条件对负氧离子浓度的影响进行了分析。研究表明：湖北省旅游景区的大气负氧离子资源十分丰富,西部山区高于东部平原地区,整体呈现从东向西、从北向南逐渐增加的趋势,鄂西南地区为全省大气负氧离子最为丰富的地区,负氧离子浓度夏季最高,冬季最低,秋季略大于春季。从3月开始,负氧离子浓度逐月增加,至8月达到最大值,后又逐渐减小。凌晨和上午的负氧离子浓度要大于下午和晚上,夜间呈逐渐上升的趋势。大气负氧离子浓度晴天最大,阴天小于晴天,而雾霾天和小雨天负氧离子浓度均较小;中雨以上降水、闪电活动与负氧离子浓度呈正相关。     

Selective separation of deltamethrin by molecularly imprinted polymers using a β-cyclodextrin derivative as the functional monomer

A deltamethrin-imprinted polymer (MIP₁) was prepared using bis(-6-O-butanediacid monoester)-β-cyclodextrin (BBA-β-CD) as the functional monomer and toluene 2,4-diisocyanate (TDI) as the cross-linker. In comparison to the molecularly imprinted polymer where β-CD was applied as the functional monomer (MIP₂), MIP₁ showed a higher specific binding capacity (ΔC_P) and an improved imprinting factor (IF) for deltamethrin. The selective recognition experiments demonstrated that compared to MIP₂, MIP₁ could better recognize its template over other substrates that had similar chemical structures. The solid phase extraction (SPE) of deltamethrin using MIP₁ as the adsorbent was further investigated. The recoveries of the molecularly imprinted solid phase extraction (MISPE) column for deltamethrin were 83.2–93.4% with relative standard deviations (RSD) of 2.03–6.19%. The method has been successfully applied to the enrichment of trace deltamethrin from real water samples.     

基于改进型灰色神经网络组合模型的空气质量预测

基于空气质量数据不足及波动较大的情况,将灰色GM（1,1）模型与人工神经网络模型组合并改进,建立改进型灰色神经网络组合模型。利用天津市2001—2008年PM10、SO2和NO2年均值作为原始数据预测2009—2010年PM10、SO2和NO2的浓度以进行模型精度检验,最后利用该模型预测2011—2015年天津市空气质量状况。结果表明,与灰色GM（1,1）模型、传统灰色神经网络组合模型相比,所建立的改进型灰色神经网络组合模型相对模拟误差小,预测结果更为可靠,可以用于空气质量预测。     

自然灾害风险评估国际计划述评Ⅱ——评估方法

自然灾害风险评估是综合灾害风险管理的关键途径,而评估方法又是灾害风险评估的关键.总结了近年来3个重要的自然灾害风险评估国际计划:灾害风险指标计划(DRI)、多发展指标计划(Hotspots)和美洲计划的(American Programme)分析单元、灾种选择和数据源.评述了3个国际计划采用的数据处理方法、模型和评估方法:计算DRI的指标需计算3个数值--物质暴露、相对脆弱性和社会-经济脆弱性指标;Hotspots首次利用栅格单元和地区/财富等级来计算死亡风险和经济损失风险;美洲计划分别建立了4个独立指标的计算模型,并应用到城市级别.通过比较3个国际计划的风险评估方法的优点与不足,提出了今后灾害风险评估的重点和关键应是风险的时空分布、动态风险评估和案例研究.     

我国沙尘暴灾害及其研究进展与展望

我国强沙尘暴灾害的逐年加剧是气候干暖化背景下,沙化土地扩展的结果,沙土暴的频发已经成为我国北方生态环境恶化的重要标志,加强对我国沙尘暴的研究已成为当务之急。本文阐述了我国沙尘暴灾害的现状及动态演变,综合分析了沙尘暴发生发展的成因,评述了我国沙尘暴的研究历史、进展及存在的问题。     

Characterizing scale- and location-dependent correlation of water retention parameters with soil physical properties using wavelet techniques

Understanding the correlation between soil hydraulic parameters and soil physical properties is a prerequisite for the prediction of soil hydraulic properties from soil physical properties. The objective of this study was to examine the scale- and location-dependent correlation between two water retention parameters (alpha and n) in the van Genuchten (1980) function and soil physical properties (sand content, bulk density [Bd], and organic carbon content) using wavelet techniques. Soil samples were collected from a transect from Fuxin, China. Soil water retention curves were measured, and the van Genuchten parameters were obtained through curve fitting. Wavelet coherency analysis was used to elucidate the location- and scale-dependent relationships between these parameters and soil physical properties. Results showed that the wavelet coherence between alpha and sand content was significantly different from red noise at small scales (8-20 m) and from a distance of 30 to 470 m. Their wavelet phase spectrum was predominantly out of phase, indicating negative correlation between these two variables. The strong negative correlation between alpha and Bd existed mainly at medium scales (30-80 m). However, parameter n had a strong positive correlation only with Bd at scales between 20 and 80 m. Neither of the two retention parameters had significant wavelet coherency with organic carbon content. These results suggested that location-dependent scale analyses are necessary to improve the performance for soil water retention characteristic predictions.     

An in-situ method of identifying ingredients of zeotropic refrigerants by inversion problem technique

An inversion method is applied to identify ingredients of zeotropic refrigerants in a circular duct. In the case of low Reynolds number and constant fluid pressure, the temperature distribution of direct heat transfer problem can be solved numerically. The thermophysical parameters of zeotropic refrigerants are determined by using inversion problem technique, the ingredients of refrigerants can be identified eventually. An in-situ experimental apparatus was proposed and three test samples with different composition refrigerants were conducted in this study. The experiment results show that the relative error of ingredients identification can be limited within 8.33%.