湿地农田低产土壤改良利用研究

系统地阐述了四湖地区湿地农田低产土壤的分布、成因、类型、特性及障碍因素，并着重对采取“三沟”配套排水、增肥调养、使用释氧化物、选手抗逆良种及轮作养地等综合改良利用技术的试验研究对果作了系统分析。     

Influence of furfural concentration on growth and ethanol yield of Saccharomyces kluyveri

Furfural is an important inhibitor in ethanol fermentation process using lignocellulosic hydrolysates as raw materials. In order to find out the furfural concentration range in which furfural inhibits the fermentation process, we used one strain Saccharomyces kluyveri selected from soil and cultured in several different furfural content media under low glucose concentration condition. Experiment results showed that microorganism growth was stimulated and dry cell weight increased when furfural concentration in the medium was 0.25 mg/ml. Furfural had negative effect on cell growth when its concentration was above 1.00 mg/ml. At the same time, the strain growed better and had a higher glucose consumption rate in 5% original glucose concentration condition than in 3% original glucose concentration condition. The results showed that appropriate exaltation of original glucose concentration in stalk hydrolysates will increase the strain resistance to furfural.     

油母页岩废渣对大豆产量影响分析

通过实验研究了施用油母页岩废渣对大豆产量的影响,试验结果表明,施用油母页岩废渣能促进大豆生长发育,显著提高大豆产量,其中,中量油母页岩废渣21t/hm2·a配施氮磷钾化肥的效果最好,其增产率达184.03%,但随着油母页岩施用量的增加,其增产效果下降。     

PREDICTIVE ASSESSMENT OF SEVERITY OF AGRICULTURAL DROUGHTS BASED ON AGRO-CLIMATIC FACTORS1

ABSTRACT: Past historical evidence indicates that droughts have had great impacts on human life. Drought (or scarcity of water) is assessed based on two key factors, namely, the estimated water demand, and the expected water supply. The formulation of these key factors for a region largely depends on the agro-climatic and economic conditions. Consideration of one such key factor is the relationship between the crop yield and water deficit in the assessment and prediction of agricultural droughts. The varying nature of this relationship from crop to crop adds to the complexity of agricultural drought analysis. To overcome this difficulty in analyzing agricultural droughts of a region, it is adequate to consider and place emphasis on a single crop (i.e., an index crop) grown homogeneously over the major area of the region. From one year to another year, the pattern of water requirement during the growing season of an index crop is rather stationary, and the water supply in arid and semi-arid area is mainly from seasonal random precipitation. In a region, grain yield of the index crop and, in turn, assessment of the severity of drought can reasonably be predicted as a function of the time of crop sowing and the distribution of rainfall, provided that temporal and spatial effects of other contributing factors (crop variety, soil fertility status, crop disease, pest control, cultivation practices etc.) on grain yield are considered to be uniformly distributed (i.e., stable). A predictive method of assessing agricultural droughts in an arid area of western India is presented. The major crop (Pearl Millet) of this region is grown from. July through September. The formulation of the proposed predictive method inherently implies that the grain yield of the main crop is a reliable indicator of agricultural drought. In the development of this predictive relationship (i.e., a regression type model) a number of potential yet simple variables affecting the grain yield in the region were investigated. The soil moisture index, although generally considered significant compared to the simple variables, has been found to account for insignificant variation in the grain yield. Results of our investigations suggest that it would be advisable to exclude the soil moisture index variable from the model. The proposed regression model can be used in the prediction of grain yield of the main crop several months ahead of crop harvesting operations and, in turn, the assessment of agricultural drought severity as mild, moderate, or severe. Such an assessment is expected to be helpful to planners for arranging appropriate measures to effectively combat agricultural drought situations.     

干旱对辽宁省玉米产量影响及风险区划

以辽宁省14个市1967-2006年降水量逐月数据和玉米产量数据为基础,应用滑动直线平均法、相关分析等数理统计方法,结合GIS技术对各地区玉米因旱减产程度及风险大小进行分析。结果表明,不同地区干旱对产量的制约程度不同,据此划分为两类地区:A类地区干旱是玉米产量的主要制约因素,B类地区干旱对玉米产量影响不明显。根据A类地区确定因旱减产指标:当降水负距平分别为20%、20%～40%、40%～60%时对应的玉米减产率分别为5%、5%～11%、11%～17%。综合产量波动、减产强度、抗旱能力三要素进行干旱灾害风险区划,结果显示辽宁省因旱减产风险由西向东逐渐减弱。     

生活污水PVA生物处理工艺

采用PVA生物处理工艺对某高校生活污水(COD 140~270 mg/L,NH4+-N 20~50 mg/L)进行处理。结果表明:PVA生物系统(85 L)在容积负荷1.5 kg COD/(m3·d)连续运行25 d,系统平均每天处理水量达到272 L,出水平均COD和NH4+-N浓度分别达到27.9 mg/L和1.3 mg/L,此外,经紫外消毒后最终出水菌落数降至1.0×104个/L以下;扫描电镜观察发现,PVA凝胶小球表面和内部均富含大量球菌、丝状菌和杆菌;该系统25 d连续运行过程中污泥产率仅为0.08 MLSS/CODremoved,无污泥外排。     

世界谷物产量与农业气候资源利用效率

世界谷物产量的农业气候资源利用效率有明显地区差异。谷物产量的综合气候资源利用效率以欧洲最高，为２．７８，其后依次是北美洲１．４３，大洋洲１．４３，亚洲１．４０，南美洲１．１２，非洲最低，为０．６１。相对光能利用率（％）从０．０３（安哥拉）至０．７６（荷兰），热量利用效率（ｋｇ／１℃·ｈａ）从０．０３至２．０３（荷兰、瑞典），降水量利用效率（ｋｇ／·ｈａ）从０．３５（安哥拉）至８．７１（荷兰）（表１－４）。光热、降水量与作物要求的条件配合较一致的地区，谷物转换效率高。干旱、半干旱地区水分容易发挥效率。世界农业气候资源谷物利用潜力很大。中国比高产国家利用效率低主要是单产利用效率低，应以提高单产的资源利用效率为重点。     

青藏高原小麦高产原因的农田生态环境因素探讨

青藏高原小麦高产原因的传统解释认为：高原地区太阳辐射强、温差大、光温配合好，小麦光合作用强度高，呼吸消耗小，有利于更多地积累同化产物。而研究表明：在高产条件下，高原小麦日平均干物质累积速率略低于平原地区。传统观点不能对此作出很好解释。事实上，青藏高原ＣＯ２密度低会严重制约小麦的光合作用；但高原太阳辐射强、群体结构有利，这在一定程度上补偿了ＣＯ２的不足，使得其日平均干物质累积速率仅略低于平原地区。高原年均温低导致小麦的生育期远长于平原地区，因此，单季小麦能够更长时间地利用各种生态条件。略低的干物质累积速率和长得多的生长期决定了青藏高原的干物质单产高于平原地区；收获指数高的小麦在高原获得了创记录的高产。     

气候变暖背景下安徽省冬小麦产量对气候要素变化的响应

论文在分析安徽省近47 a(1961-2007年)来气候要素及冬小麦产量变化特征,确定产量突变点的基础上,采用相关分析,提取影响产量形成的气候因子,构建安徽省冬小麦气候产量模型,并利用该模型定量地估算了近47 a来气候要素变化对冬小麦产量的贡献率。结果表明:安徽省冬小麦生长季内的平均气温增暖趋势明显,降水量无明显变化趋势,但年际波动大,日照时数呈显著下降趋势。越冬期最高气温、返青期最低气温和灌浆期日照时数与产量呈显著正相关,灌浆期降水量与产量呈显著负相关。近47 a来,气候要素变化对冬小麦产量存在微弱的负贡献,贡献率为-5.89％。冬小麦生长季内一定程度的暖干化条件有利于产量的增加。     

Quantitative analysis of microbial biomass yield in aerobic bioreactor

We have studied the integrated model of reaction rate equations with thermal energy balance in aerobic bioreactor for food waste decomposition and showed that the integrated model has the capability both of monitoring microbial activity in real time and of analyzing biodegradation kinetics and thermal-hydrodynamic properties. On the other hand, concerning microbial metabolism, it was known that balancing catabolic reactions with anabolic reactions in terms of energy and electron flow provides stoichiometric metabolic reactions and enables the estimation of microbial biomass yield (stoichiometric reaction model). We have studied a method for estimating real-time microbial biomass yield in the bioreactor during food waste decomposition by combining the integrated model with the stoichiometric reaction model. As a result, it was found that the time course of microbial biomass yield in the bioreactor during decomposition can be evaluated using the operational data of the bioreactor (weight of input food waste and bed temperature) by the combined model. The combined model can be applied to manage a food waste decomposition not only for controlling system operation to keep microbial activity stable, but also for producing value-added products such as compost on optimum condition.