峨眉山资源植物研究

按资源植物的用途与相似有机化学物质类群,将峨眉山资源植物分为5大类11小类.统计表明,绝对数量最高的大类资源植物依次为药用植物、园林植物和食用植物,而药用植物、芳香植物在我国同类资源中占较大的相对比重;绝对数量最高的小类资源植物依次为纤维、鞣质、油脂与蛋白植物资源种类,而淀粉、维生素与色素资源种类比重达到或超过全国同类资源植物数量的1/2.峨眉山资源植物的特点是:种类丰富,蓄积量小;珍稀度高,特有性强;品类齐全,潜力巨大.围绕峨眉山资源植物的有效保护和利用,提出了建立长效的科技合作与资源共享机制,提高资源编目与监测水平,建立"峨眉山植物园",逐步树立"峨眉山"资源植物品牌等建议.     

燃煤电厂的碳减排技术

介绍了燃煤电厂应对气候变化采取的CO2减排技术路线和适合燃煤电厂的CO2捕集技术,调查了对当前燃煤电厂捕碳项目和清洁煤技术的发展情况.     

城市电厂大型机力通风冷却塔的噪声控制

针对城市电厂大型机力通风冷却塔的噪声污染,以北京太阳宫燃气热电冷联供工程中应用的机力通风冷却塔噪声控制为例,通过分析研究冷却塔各声源不同的频谱特性和传播特性,并根据厂界噪声控制目标计算声源的超标量和设计降噪量,采取隔声、消声和吸声等综合集成的噪声控制技术,设计开发了大型机力通风冷却塔降噪消声装置,取得了理想效果,使厂界噪声达到I类标准,为低噪声机力通风冷却塔的声学设计提供了工程实践参考。     

氨法烟气脱硫工艺在燃煤锅炉的应用

介绍了氨法脱硫技术在国内外的应用情况以及氨法烟气脱硫工艺的工作原理和工程应用难点;分析了热电厂煤粉锅炉烟气脱硫的工艺路线特点及新型氨法脱硫工艺应用后取得了的显著效果;提出了氨法脱硫工艺存在的问题和发展前景。     

重庆华蓥山山脉药用植物资源调查研究

通过野外考察、标本采集、资料查阅整理及标本鉴定,对重庆华蓥山山山脉药用植物资源进行了调查.结果表明,重庆华蓥山共有药用植物240科1017属2251种(含变种和亚种),其中地衣植物5科8属11种、苔藓植物23科30属36种、蕨类植物40科82属190种、裸子植物9科17属25种、被子植物163科880属1989种.对其种类组成、分布、药用部位、疗效等进行了统计分析,对民间习用药物做了简要介绍,并对其开发利用提出了建议.     

海南尖峰岭自然保护区野生观赏植物资源开发利用

概述了海南尖峰岭的自然条件与植被现状。通过全面深入的野外调查与标本采集,根据不同的园林应用,对调查区域内野生植物资源的观赏特性进行分类,提出开发利用尖峰岭自然保护区内野生植物资源的建议。     

火电厂脱硝技术现状及产业与市场发展预测

概述了我国火电厂脱硝的背景及国家发布的有关技术政策和相关标准,介绍了国内火电脱硝技术及脱硝产业的发展现状,对火电脱硝市场的发展进行了预测。     

我国火电厂脱硫脱硝行业2010年发展综述

综述了2010年我国火电厂脱硫脱硝行业的发展概况,介绍了行业目前采用的主要技术及新技术,分析了行业的市场特点及存在的主要问题,提出了对策及建议,并对行业的发展进行了展望。     

Human Impacts to River Temperature and Their Effects on Biological Processes: A Quantitative Synthesis1

Hester, Erich T. and Martin W. Doyle, 2011. Human Impacts to River Temperature and Their Effects on Biological Processes: A Quantitative Synthesis. Journal of the American Water Resources Association (JAWRA) 47(3):571‐587. DOI: 10.1111/j.1752‐1688.2011.00525.x Abstract: Land‐use change and water resources management increasingly impact stream and river temperatures and therefore aquatic organisms. Efforts at thermal mitigation are expected to grow in future decades. Yet the biological consequences of both human thermal impacts and proposed mitigation options are poorly quantified. This study provides such context for river thermal management in two ways. First, we summarize the full spectrum of human thermal impacts to help thermal managers consider the relative magnitudes of all impacts and mitigation options. Second, we synthesize biological sensitivity to river temperature shifts using thermal performance curves, which relate organism‐level biological processes to temperature. This approach supplements the popular use of thermal thresholds by directly estimating the impact of temperature shifts on the rates of key biological processes (e.g., growth). Our results quantify a diverse array of human thermal impacts, revealing that human actions tend to increase more than decrease river temperatures. Our results also provide a practical framework in which to quantify the sensitivity of river organisms to such impacts and related mitigation options. Finally, among the data and studies we synthesized, river organisms appear to be more sensitive to temperature above than below their thermal maxima, and fish are more sensitive to temperature change than invertebrates.     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.