机械设备故障与事故管理

阐述机械加工企业机械设备的故障分类、原因、机理和管理方法，以及设备的事故管理和工伤事故经济损失。     

区域性洪涝灾害的灾情评估

以区域孕灾环境、致灾因子和承灾能力三方面的资料为基础,探讨了如何运用地理信息系统和评估模型进行洪涝灾害灾情评估的思路和方法.经实例验证,综合灾害经济损失总量、区域调节承受能力和灾后社会或部门追加投入总量的洪涝灾度评估方法,可对区域实际遭受洪涝灾害的破坏程度和影响深度做出科学、客观、合理的评估.     

城郊旅游的潜在市场特征及产品开发--以合肥市为例

城市郊区已成为旅游的热点区域,合肥市对行政区域进行划分后,正着手大力开发城郊旅游.为了使合肥城郊旅游业的发展更具科学性,在实地调查基础上,分析了合肥城郊旅游潜在的市场特征,得出其城郊旅游开发市场潜力巨大;在分析外来旅游者及市民的城郊旅游意向基础上探讨了合肥城郊旅游产品开发,认为新城郊区旅游功能可定位为水上休闲度假娱乐中心和生态农业观光园区;最后提出合肥城郊旅游科学开发的几点建议.     

基于面积统计的震后烈度评估

选取了较为典型的历史震例,并将这些震例的等震线图数字化.利用这些等震线图数据,直接统计出地震参数和震后不同烈度面积之间的关系,并将该关系和烈度衰减几何模型结合起来,反演震后烈度的具体分布形状,以进行震后烈度分布的预测.     

Sustainability of Current Agricultural Practices in The Cameron Highlands, Malaysia

Cameron Highlands is a mountainous region with steep slopes. Gradients exceeding 20^∘ are common. The climate is favourable to the cultivation of tea, sub-tropical vegetables and flowers (under rain-shelter). Crop production is sustained by high fertiliser and manure applications. However, agriculture in this environment is characterised by high levels of soil erosion and environmental pollution. A study on the sustainability of these agro-ecosystems was conducted. Results indicated that soil loss was in the range of 24–42 ton/ha/yr under vegetables and 1.3 ton under rain-shelter. Sediment load in the vegetable sub-catchment reached 3.5 g/L, 50 times higher than that associated with flowers under rain-shelter and tea. The sediments contained high nutrient loads of up to 470 kg N/ha/yr. The N, P and K lost in runoff from cabbage farms was 154 kg/season/ha, whereas in chrysanthemum farms it was 5 kg. In cabbage farms, the N, P, and K lost through leaching was 193 kg/season/ha. The NO₃–N concentration in the runoff from the cabbage farms reached 25 ppm but less than 10 ppm in runoff from rain-shelters. Inorganic pollution in the rivers was within the acceptable limit of 10 ppm. The sustainability of the agro-ecosystems is in the order of tea { > } rain–shelter ≫ vegetables.     

生物降解高分子材料的研究现状及应用前景

目前,处理高分子材料的一些传统方法,如焚烧法、掩埋法、熔融共混挤出法、回收利用等都存在一定的缺陷和局限性,给环境保护带来严重的困难。因此,开发环境可接受的降解性高分子材料是解决环境污染的重要途径。生物降解高分子是指通过自然界或添加的微生物的化学作用,将高分子物质分解成小分子化合物,再进入自然的循环过程。论述了生物降解高分子材料的研究现状,并对生物降解高分子材料的降解机理、影响因素及其在医学、农业、包装业和其他领域的潜在应用前景进行了探讨。     

近52a西南地区潜在蒸散发时空变化特征

潜在蒸散发对水资源评价和气候变化均具有重要意义。采用Penman-Monteith公式和气象观测资料计算了中国西南地区90个气象站的潜在蒸散发,并采用多种统计方法分析了潜在蒸散发的时空变化特征。结果表明:(1)西南地区近52a的平均潜在蒸散发为3 209.8 mm,其中云南省潜在蒸散发最高(3 664.7 mm),其次为四川省(3 015.0 mm)、重庆市(2 972.4 mm)、贵州省(2 958.0 mm)。四季潜在蒸散发空间分布特征与年不同,从大到小排序为夏季,春季,秋季,冬季。(2)西南地区整体呈增加趋势(0.9 mm/10 a),其中31个站点呈减少趋势(p0.1),17个站点呈增加趋势(p0.1),其余站点变化趋势不显著。大部分站点春季(55.6%)和夏季(63.3%)呈减少趋势,秋季(62.2%)和冬季(58.9%)则呈增加趋势。(3)经MannKendall突变检验,该区整体潜在蒸散发的突变时间为1995年(p0.05);单个站点突变检验显示,76个站点发生突变,突变年份集中于1980s,未发生突变的站点主要分布于青藏高原东缘。整体上看,近52a来西南地区潜在蒸散发略呈增加趋势,并存在突变点,但部分站点存在相反的变化趋势,这和复杂的地形环境和气候特征有较大关系,体现出西南地区水文气象变化的独特性。     

Effectiveness of Africa's tropical protected areas for maintaining forest cover

The effectiveness of parks for forest conservation is widely debated in Africa, where increasing human pressure, insufficient funding, and lack of management capacity frequently place significant demands on forests. Tropical forests house a substantial portion of the world's remaining biodiversity and are heavily affected by anthropogenic activity. We analyzed park effectiveness at the individual (224 parks) and national (23 countries) level across Africa by comparing the extent of forest loss (as a proxy for deforestation) inside parks to matched unprotected control sites. Although significant geographical variation existed among parks, the majority of African parks had significantly less forest loss within their boundaries (e.g., Mahale Park had 34 times less forest loss within its boundary) than control sites. Accessibility was a significant driver of forest loss. Relatively inaccessible areas had a higher probability (odds ratio >1, p < 0.001) of forest loss but only in ineffective parks, and relatively accessible areas had a higher probability of forest loss but only in effective parks. Smaller parks less effectively prevented forest loss inside park boundaries than larger parks (T = ?2.32, p < 0.05), and older parks less effectively prevented forest loss inside park boundaries than younger parks (F_2,154 = ?4.11, p < 0.001). Our analyses, the first individual and national assessment of park effectiveness across Africa, demonstrated the complexity of factors (such as geographical variation, accessibility, and park size and age) influencing the ability of a park to curb forest loss within its boundaries.     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.     

中国工业碳排放达峰的情景预测与减排潜力评估

实现2030年碳排放达峰不仅是中国为应对全球气候变化向国际社会做出的郑重承诺,也是中国未来经济结构转型与可持续发展的必然选择。基于中国实现2030年碳排放达到峰值的宏观目标为背景,本文以中国碳排放的主要行业工业为研究对象,首先运用拓展的STIRPAT模型对工业及其9个细分行业的碳排放达峰进行了情景预测,然后基于公平和效率的双重视角对工业细分行业的减排潜力进行评估。研究表明:(1)仅有低碳情景和抑制排放情景2可以实现中国碳排放2030年达峰,低碳情景是实现中国工业碳排放达峰的最佳发展模式,达峰时间最早(2030年),峰值最低(140.43亿t)。激进排放情景则是最差的发展模式,达峰时间最晚(2036年),峰值也最高(150.09亿t)。(2)工业内部各细分行业碳排放的最优达峰情景差别较大。建材和纺织制造业能够实现提前达峰,可以在这类行业率先实施达峰管理措施,使其带动其他行业陆续达峰。(3)最具减排潜力的行业是石油制造业,其次是电力行业,这些减排潜力较大的行业应该成为国家节能减排的重点对象。(4)基于工业各细分行业在减排公平性和效率性上的差异将工业9个细分行业分为四类。其中,石油、钢铁制造业和电力行业属于"高效高公平行业";化工、建材制造业属于"低效高公平行业";采掘业属于"高效不公平行业";纺织、轻工和机电制造业属于"低效不公平行业"。中国应针对不同类型的行业制定出相应的减排战略,将减排重点放在各行业最具潜力的方面。最后,文章对实现中国工业碳排放达峰管理提出了几点政策建议。