The use of urban organic wastes in the control of erosion in a semiarid Mediterranean soil

Abstract. A two year field experiment was carried out in a semiarid Mediterranean area in order to evaluate, the effect on soil erosion of adding different urban organic wastes: a stabilized municipal waste (compost), an unstabilized municipal waste, and an aerobic sewage sludge. All the treatments significantly reduced soil erosion, compared to the control soil. The soil amended with compost was the most effective treatment, reducing soil loss by 94% and runoff by 54%.     

施肥对特高多花黑麦草初级生产力影响的研究

通过N、P、K肥单施及其不同配比混施，研究了施肥对提高特高多花黑麦草初级生产力的影响。结果表明，N、P、K肥单施和不同配比混施均能提高特高多花黑麦草的鲜草产量，但混施的增产效果比单施更好。施用尿素400kg／hm^2，过磷酸钙500kg／hm^2，硫酸钾200kg／hm^2，产量最高，播种后8周达到11723．3kg／hm^2。     

小麦条锈病流行程度趋势预测专家系统雏型

本文运用知识工程语言 M·1构造了一个用于小麦条锈病流行程度趋势预测的专家系统雏型。专家的知识用产生式规则来表示。知识库中的知识规则可相对独立,便于知识库的扩充和完善。     

GI PiCO2: Tissue Specific Monitoring For Improving Patient Outcomes

Improvements in human patient monitoring despite their development in animals, do not always find their way into veterinary clinical use due to financial constraints. Gastrointestinal intraluminal CO₂ partial pressure (Gip₁CO₂) monitoring, however, is not only proving very beneficial in human trauma and critical patient care but is also very likely to become relatively inexpensive. By providing information on the perfusion adequacy of a high risk, critically important tissue, the GI mucosa, GI P₁CO₂ monitoring offers an easily accesible indicator of the efficacy and adequacy of resuscitative interventions. The potential for decreasing morbidity and mortality is enormous. Therefore, the practicing veterinarian should become familiar with GI P₁CO₂ monitoring theory and technology so he or she can be better prepared to incorporate it into practice when in becomes available.     

应用积分GM(1,1)模型进行杉木炭疽病预测预报的研究

以积分生成代替传统的累加生成方法 ,并用双向差分建立积分GM (1,1)灰色预测模型进行杉木炭疽病预测预报的研究 ,结果表明积分GM (1,1)模型能较好地预测杉木炭疽病在三明市的发生     

旱地保护性耕作地表径流和土壤水分平衡模型

在田间试验和对现有径流模型及土壤水分平衡模型改进的基础上，建立了适用于保护性耕作的地表径流和土壤水分平衡模型。该模型以日为步长，根据气象数据、土壤水分状况、作物生长发育及耕作管理措施，模拟不同耕作管理体系下地表径流和田间水分平衡的变化。针对保护性耕作的特点，主要对径流曲线数字(USDA—Curve Number)法进行了改进，在PERFECT模型的基础上增加了坡度和降雨强度两因素的影响，从而使模型较全面地考虑了残茬覆盖、耕作、坡度及降雨强度等多种因素对径流的影响；采用简单实用的Priestley—Taylor公式计算潜在蒸散量，并考虑作物覆盖与残茬覆盖对土壤蒸发与作物蒸腾的影响。通过田间径流试验和根层有效贮水量测定数据的验证，证明了地表径流和土壤水分的模拟值与实测值比较接近。     

关中西部四灌区旱情规律分析

为给关中西部灌区水资源合理调控提供依据，在简述干旱及其分类的基础上，指出了关中西部各类干旱多源于气象干旱。对该区7个气象站的年降水进行分析表明，各气象站年降水量的变差系数均为0．25，偏态系数均为0．5。以兴平气象站作为代表站对不同历时的旱情进行了分析，结果显示11月到来年2月发生重旱和特旱的概率较大，在30％左右，特别是12月份，概率达54％，且以特旱为主；7、8月份以中旱和重旱为主；夏玉米播前发生特旱的概率较高，达27％，拔节孕穗和抽穗开花期以特旱为主，概率达33％；冬小麦的越冬和麦黄期以特旱为主，发生概率在30％左右。     

Predicting the spatial distribution of ground flora on large domains using a hierarchical Bayesian model

Accomodation of important sources of uncertainty in ecological models is essential to realistically predicting ecological processes. The purpose of this project is to develop a robust methodology for modeling natural processes on a landscape while accounting for the variability in a process by utilizing environmental and spatial random effects. A hierarchical Bayesian framework has allowed the simultaneous integration of these effects. This framework naturally assumes variables to be random and the posterior distribution of the model provides probabilistic information about the process. Two species in the genus Desmodium were used as examples to illustrate the utility of the model in Southeast Missouri, USA. In addition, two validation techniques were applied to evaluate the qualitative and quantitative characteristics of the predictions.This revised version was published online in May 2005 with corrections to the Cover Date.