Post-flooding disaster crop diversity recovery: a case study of Cowpea in Mozambique

To restore food security to a traditional African cropping system following a sudden loss of seed, genetic diversity must be re-established. This study examines the extent to which Cowpea diversity was reinstated two years after a flood disaster in Gaza Province, Mozambique. The contribution that seed from various sources made to the recovery was assessed using semi-structured interviews and morphological and molecular data. Data suggest that diversity had recovered to some extent yet there was evidence of a narrowing of the genetic base, with fewer rare alleles and differences in the distribution of allele frequencies. Although the main channels for accessing seed after the flood were seed relief and markets, these sources contributed to minimal and different diversity. It appears that diversity was regained primarily through social networking in the form of loans or gifts of seed from friends and relatives. The results of the study are discussed in relation to seed relief approaches.     

红壤坡地水土保持植物措施下柑橘林地水文生态效应

根据江西水土保持生态科技园2001～2008年不同处理措施柑橘林地径流小区的降雨产流产沙的定位观测资料及2010年土壤含水量测试数据,分析了坡面尺度水土保持植物措施下柑橘林地的产流产沙及土壤水分的特征,研究了狗牙根带状覆盖、狗牙根全园覆盖、果园清耕3种措施下的蓄水保土效应。结果表明：有草被覆盖的柑橘林小区的产流产沙量明显小于柑橘清耕小区,狗牙根带状覆盖小区减流减沙效果最好,减流率为98.21%,减沙率为99.84%。在大部分土层深度,草被带状覆盖下的土壤水分含量最高,均大于清耕措施,而全园覆盖由于植物蒸腾耗水量大水分含量反而低于带状覆盖。条带植草是防治柑橘林地水土流失的有效措施,具有明显的减流减沙效应和蓄积水分作用     

基于GIS和组合赋权法的农村生态功能适宜性评价及管制分区

在村级土地利用规划过程中进行生态功能适宜性评价,以了解农村生态质量状况、明确农村生态功能适宜程度及空间分布,为村级土地利用规划中土地利用方向的确定和空间布局的划分提供科学的生态适宜依据,从而更好地协调农村发展建设和生态环境保护的关系有着至关重要的作用。以岩南村为例,开展了农村生态功能适宜性评价及应用研究。以高分辨率航空影像为数据源,从地形条件、土壤资源、生物资源、水资源、人类干扰5个方面建立了评价指标体系;利用组合赋权法确定各评价因子的权重值,构建了生态功能适宜性评价模型;以栅格为评价单元,在GIS支持下,对岩南村进行生态功能适宜性评价。并根据评价结果划分了生态功能适宜等级,制定了分区管制措施,提出了土地利用建议,旨在为岩南村土地利用规划提供指导     

G2京津塘高速公路万辆车流的交通事故灾害与气象综合指数的关系

通过整理G2京津塘高速公路3年(2007年3月至2010年2月)逐日逐时万辆车流的交通事故灾害和交通流量及气象要素资料,并将万辆车流的交通事故灾害(交通事故灾害与交通流量之商)与同步气象综合指数进行日变化相关分析;结果表明:平均万辆车流的交通事故灾害的日变化最高峰出现在05时,年平均高峰值高达2.34起·辆-1·10-4;年度、春季、夏季、秋季和冬季的平均万辆车流的交通事故灾害与同步气象综合指数均呈正抛物线的偏右侧相关,即万辆车流的交通事故灾害随气象综合指数的加大而增多;统计学检验(R＞Rα=0.01和F＞Fa=0.01)效果很好.四个季节的万辆车流的交通事故灾害与气象综合指数相关的系数高达0.7781～0.8537.为了更好地将自动气象监测信息服务于高速公路交通安全,在分析成果的基础上设计出了高速公路万辆车流的交通事故灾害的气象综合指数风险等级指标,以期为高速公路交通安全提供客观的科学依据.     

城乡居民突发事件应对能力研究——以浙江省为例

将突发事件应对能力分为一般应对能力和特殊应对能力,以大学生为样本编制量表,在社会居民中验证其适用性,量表有良好的信效度和适用性。对浙江省11个地区的居民抽样调查表明,积极行为能力强于情绪管理能力,传染疾病和火灾应对能力比较强,食物中毒应对能力比较弱;城市居民强于农村居民,男性比女性强;社会居民强于大学生,50岁以下的比较强;机关干部最强,农民最弱;受训者强于未受训者,受训者太少。突发事件应对训练竭待加强。     

西南山区某气井井场地基稳定性模拟分析

中国西南山区蕴藏着丰富的天然气资源,但随着开发规模的日益扩大,天然气井逐步转向山区这类地质环境恶劣的地区。本文以西南山区某气井为原型,在详细阐明井场区地质环境背景特征的基础上,首先对井场出现的典型地质问题——地下采空区进行定性判断和分析;之后选用F lac-2D有限差分软件,对井场加载前/后地下采空区可能造成的井场地基应力和变形特征,采用双洞和采空区这2种计算模型,进行数值模拟分析。模拟结果表明,井场加载前/后地基最大位移量为2 mm,地基局部地段出现拉应力区,但总体上地基稳定。研究结论将为后期建设中井场建筑物的优化布局及基础的选型提供依据。     

隔离开关支柱瓷绝缘子断裂实例及预防措施

针对一起220 kV隔离开关支柱绝缘子断裂的事故,进行绝缘子现场试验和分析,从提高瓷绝缘子质量和加强运行维护管理2方面提出了预防支柱绝缘子断裂事故的建议。分析结果表明:绝缘子的断裂是由于其抗弯强度不足和未按照工艺要求涂抹沥青层等原因引起的。     

空冷机组运行初期如何降低汽水系统的硅含量

为了保证对空冷发电机组的水汽系统在机组运行初期硅含量监督指标的控制,对影响水汽中SiO₂含量的因素进行分析,提出洗硅的有效方法和措施。应用结果表明:采用洗硅、投运前冲洗、合理的凝结水精处理以及调节pH值等控制手段,可有效改善并解决水汽系统硅含量长期超标的问题,保证机组合格的水汽品质。     

Modeling of Solid Particle Flow and Heat Transfer in Rotary Kiln Calciners

Abstract

Contaminated solid wastes exist in many industrial sites, gas plants, and oil refineries. One method of decontaminating the soil is to subject it to high temperatures in a rotary calciner in an anaerobic environment. Preliminary results from a computational model are presented in this paper for the flow and heat transfer from granular solid particles under treatment in a rotary kiln calciner. A fluidization model using kinetic theory of granular flow has been employed to solve the particle flow and heat transfer problem. While a two-dimensional model is used to predict the rotation induced flow of the solid particles, a pseudo three-dimensional model for heat transfer is developed where the axial bulk temperature gradient is obtained from a one-dimensional energy balance model. The model predictions indicate interesting features of the flow and temperature fields in the bed material. Future tasks include the development of a devolatilization model to study the decontamination of waste soil in the rotary calciner.     

Application and Evaluation of Two Air Quality Models for Particulate Matter for a Southeastern U.S. Episode

Abstract

The Models-3 Community Multiscale Air Quality (CMAQ) Modeling System and the Particulate Matter Comprehensive Air Quality Model with extensions (PMCAMx) were applied to simulate the period June 29–July 10, 1999, of the Southern Oxidants Study episode with two nested horizontal grid sizes: a coarse resolution of 32 km and a fine resolution of 8 km. The predicted spatial variations of ozone (O₃), particulate matter with an aerodynamic diameter less than or equal to 2.5 μm (PM_2.5), and particulate matter with an aerodynamic diameter less than or equal to 10 μm (PM₁₀) by both models are similar in rural areas but differ from one another significantly over some urban/suburban areas in the eastern and southern United States, where PMCAMx tends to predict higher values of O₃ and PM than CMAQ. Both models tend to predict O₃ values that are higher than those observed. For observed O₃ values above 60 ppb, O₃ performance meets the U.S. Environmental Protection Agency's criteria for CMAQ with both grids and for PMCAMx with the fine grid only. It becomes unsatisfactory for PMCAMx and marginally satisfactory for CMAQ for observed O₃ values above 40 ppb.

Both models predict similar amounts of sulfate (SO₄ ^2?) and organic matter, and both predict SO₄ ^2? to be the largest contributor to PM_2.5. PMCAMx generally predicts higher amounts of ammonium (NH₄ ⁺), nitrate (NO₃ ^?), and black carbon (BC) than does CMAQ. PM performance for CMAQ is generally consistent with that of other PM models, whereas PMCAMx predicts higher concentrations of NO₃ ^?,NH₄ ⁺, and BC than observed, which degrades its performance. For PM₁₀ and PM_2.5 predictions over the southeastern U.S. domain, the ranges of mean normalized gross errors (MNGEs) and mean normalized bias are 37–43% and –33–4% for CMAQ and 50–59% and 7–30% for PMCAMx. Both models predict the largest MNGEs for NO₃ ^? (98–104% for CMAQ, 138–338% for PMCAMx). The inaccurate NO₃ ^? predictions by both models may be caused by the inaccuracies in the ammonia emission inventory and the uncertainties in the gas/particle partitioning under some conditions. In addition to these uncertainties, the significant PM overpredictions by PMCAMx may be attributed to the lack of wet removal for PM and a likely underprediction in the vertical mixing during the daytime.