Soil enzyme activities and their indication for fertility of urban forest soil

To reveal the biological characteristics of urban forest soil and the effects of soil enzyme on soil fertility as well as the correlation between physicochemical properties and enzyme activities, 44 urban forest soil profiles in Nanjing were investigated. Basic soil physicochemical properties and enzyme activities were analyzed in the laboratory. Hydrogen peroxidase, dehydrogenase, alkaline phosphatase, and cellulase were determined by potassium permanganate titration, TTC (C₁₉H₁₅N₄·Cl) colorimetry, phenyl phosphate dinatrium colorimetry, and anthrone colorimetry, respectively. The result showed that soil pH, organic carbon (C), and total nitrogen (N) had great effects on hydrogen peroxidase, dehydrogenase, and alkaline phosphatase activities in 0–20 cm thick soil. However, pH only had great effect on hydrogen peroxidase, dehydrogenase, and alkaline phosphatase activities in 20–40 cm thick soil. Hydrogen peroxidase, dehydrogenase, and alkaline phosphatase were important biological indicators for the fertility of urban forest soil. Both in 0–20 cmand 20–40 cmsoil, soil enzyme system (hydrogen peroxidase, dehydrogenase, alkaline phosphatase, and cellulase) had a close relationship with a combination of physicochemical indicators (pH, organic C, total N, available K, available P, cation exchange capacity (CEC), and microbial biomass carbon (C_mic)). The more soil enzyme activities there were, the higher the fertility of urban forest soil.     

Current status of indoor dust PBDE pollution and its physical burden and health effects on children

Environmental Science and Pollution Research - Polybrominated diphenyl ethers (PBDEs) are widely detected in indoor dust, which has been identified as a more important route of PBDE exposure for...     

Carbon sequestration of black locust forests in the Yellow River Delta region,China

The Yellow River Delta region in China is a land area of 1,200,000 ha with rich natural resources. Adverse environmental conditions, such as low rainfall and high salinity, promote the dominance of black locust trees for afforestation. With the increase of CO₂ in the atmosphere, this forest and others throughout the world have become valued for their ability to sequester and store carbon. Forests store carbon in aboveground biomass (i.e. trees), belowground biomass (i.e. roots), soils and standing litter crop (i.e. forest floor and coarse woody debris). There are well-developed methods to sample forest ecosystems, including tree inventories that are used to quantify carbon in aboveground tree biomass. Such inventories are used to estimate the types of roundwood products removed from the forest during harvesting. Based on standard plot inventories and stem analyses, carbon sequestration estimates of trees were 222.41 t ha^?1 for the Yellow River Delta region accounted for 67.12% of the whole forest. Similarly, carbon storage by herbaceous matter and soil was 0.50 and 50.34 t ha^?1, respectively. The results suggest that carbon sequestration in the forest ecosystem was performed by most of the forest, which plays an increasingly important role in sequestering carbon as the stand grows.     

Soil enzyme activities and their indication for fertility of urban forest soil

To reveal the biological characteristics of urban forest soil and the effects of soil enzyme on soil fertility as well as the correlation between physicochemical properties and enzyme activities, 44 urban forest soil profiles in Nanjing were investigated. Basic soil physicochemical properties and enzyme activities were analyzed in the laboratory. Hydrogen peroxidase, dehydrogenase, alkaline phosphatase, and cellulase were determined by potassium permanganate titration, TTC (C₁₉H₁₅N₄·Cl) colorimetry, phenyl phosphate dinatrium colorimetry, and anthrone colorimetry, respectively. The result showed that soil pH, organic carbon (C), and total nitrogen (N) had great effects on hydrogen peroxidase, dehydrogenase, and alkaline phosphatase activities in 0–20 cm thick soil. However, pH only had great effect on hydrogen peroxidase, dehydrogenase, and alkaline phosphatase activities in 20–40 cm thick soil. Hydrogen peroxidase, dehydrogenase, and alkaline phosphatase were important biological indicators for the fertility of urban forest soil. Both in 0–20 cmand 20–40 cmsoil, soil enzyme system (hydrogen peroxidase, dehydrogenase, alkaline phosphatase, and cellulase) had a close relationship with a combination of physicochemical indicators (pH, organic C, total N, available K, available P, cation exchange capacity (CEC), and microbial biomass carbon (C_mic)). The more soil enzyme activities there were, the higher the fertility of urban forest soil. __________ Translated from Urban Environment & Urban Ecology, 2007, 20(4): 4–6, 9 [译自: 城市环境与城市生态]     

覆盖型岩溶塌陷动态演化数值模型研究

预测不同水动力环境下岩溶覆盖层土洞发育规模和极限规模尺寸对于评价覆盖层稳定性意义重大.以武汉市烽火村覆盖型岩溶塌陷为实例,利用弹塑性理论和变饱和渗流理论建立了渗流-应力单向耦合控制方程,结合土洞剥蚀判据提出覆盖型岩溶塌陷动态演化数值模型,并以此模型预测在不同孔隙水位与岩溶水位之差△H水动力环境下覆盖层中潜在土洞的发育规...     

Cadmium accumulation characteristics of the winter farmland weeds Cardamine hirsuta Linn. and Gnaphalium affine D. Don

In a preliminary study, we found that the cadmium (Cd) concentrations in shoots of the winter farmland weeds Cardamine hirsuta Linn. and Gnaphalium affine D. Don exceeded the critical value of a Cd-hyperaccumulator (100 mg kg^?1), indicating that these two farmland weeds might be Cd-hyperaccumulators. In this study, we grew these species in soil containing various concentrations of Cd to further evaluate their Cd accumulation characteristics. The biomasses of C. hirsuta and G. affine decreased with increasing Cd concentrations in the soil, while the root/shoot ratio and the Cd concentrations in shoot tissues increased. The Cd concentrations in shoots of C. hirsuta and G. affine reached 121.96 and 143.91 mg kg^?1, respectively, at the soil Cd concentration of 50 mg kg^?1. Both of these concentrations exceeded the critical value of a Cd-hyperaccumulator (100 mg kg^?1). The shoot bioconcentration factors of C. hirsuta and G. affine were greater than 1. The translocation factor of C. hirsuta was less than 1 and that of G. affine was greater than 1. These findings indicated that C. hirsuta is a Cd-accumulator and G. affine is Cd-hyperaccumulator. Both plants are distributed widely in the field, and they could be used to remediate Cd-contaminated farmland soil in winter.     

城市风暴潮灾害快速评估的模糊决策方法——以厦门市为例

综合考虑了反映风暴潮灾害的自然特征和社会属性的4个指标,将其作为评估指标,建立了基于模糊决策的风暴潮发生过程中城市灾害的快速评估模型,并以街道为最小评估单元,对厦门市进行了一次模拟风暴潮的灾害综合快速评估。由于模型考虑了少量具有代表性的因素,故能保证评估过程的快速性、评估结果的时效性,能为政府在有限的时间和资源下做出救灾减灾的优先工作策略提供决策依据。     

改进的灰色理论法分析汽车火灾危险性

分析诱发汽车火灾事故的各种因素,采用改进的灰色理论分析确定汽车火灾危险性评价模型,并计算各影响因素的权重.提出在传统灰色系统理论的基础上加入层次分析的手段,根据专家的评分结果,确定了各评价指标的灰色评价向量和权矩阵.以某款SUV车为例进行了火灾危险性评估,证明此方法在汽车火灾危险性评价领域具有可行性.     

实施能源管理体系促进节能减排

能源管理体系是对能量平衡、能源审计、能源计量管理、用能设备管理等一系列传统能源管理方法的综合,也是对企业标准化管理体系的发展。文章介绍了GB/T 23331-2009《能源管理体系要求》产生的背景,分析标准的内容,并探讨了能源管理体系的应用。通过对其学习和研究,从领导决策与准备、初始能源管理评审、能源管理体系策划与设计、能源管理体系文件编制、能源管理体系试运行和能源管理体系内部审核和管理评审等方面,对石油石化企业能源管理体系的建立进行总体策划。     

运用基于熵权的属性识别模型评价三明段沙溪河水质

将熵值法与属性识别模型相结合,运用熵值法来确定权重系数,建立基于熵权的属性识别模型,利用此模型,并根据2007年上半年度沙溪河各监测点的资料,进行对整治后的沙溪河的水质评价。评价结果表明,2007年三明段沙溪河水质总体高于Ⅲ类水质;与2000年以前沙溪河水质（2000年以前很多处水质低于Ⅲ类水,特别是三明市城区那段）相比,说明最近几年的沙溪河水质状况有了很大的改善,河流整治工作基本到位。最后对沙溪河水质污染的防治措施提出了初步建议。