污水污泥裂解目标产物及残焦促进植物生长的研究

研究了污水污泥的低温裂解特性,考察了裂解终温和干燥到一定程度后污泥含水率对裂解产物分布及产物性质的影响,并分析了裂解产物中最合适的目标产物形式.经过分析比较,最终确定以污泥裂解残焦为目标产物并通过与普通土壤混拌进行了栽种大蒜和测试大蒜重金属浓度水平的实验,并考察残焦中重金属向植物迁移的情况.结果表明,干燥到一定程度的污水污泥在550℃下裂解时残焦的产率在40%以上,其中灰分含量在60%～65%之间,富含氮、 磷、 钾.该残焦中重金属含量符合有关土地使用规定,能明显促进大蒜植株的生长,实验组平均株高比普通组高出3～4　cm;但是快速生长的大蒜植株中重金属浓度略有增加.研究表明残焦是合适的污水污泥裂解目标产物,具有土地使用的前景,能够用于促进非食用目的的植物的生长.     

大气污染总量控制规划智能决策支持系统的开发与研究

对大气污染总量控制规划智能决策支持系统的开发步骤和总体结构做了介绍。并描述了该系统中的知识库系统、模型库系统、数据库系统和图形库系统的设计思想,特别是对知识库的构造进行了较详细的叙述。还介绍了神经网络技术在该系统中的应用。指出大气污染总量控制规划智能决策支持系统将为大气污染总量控制提供更科学、更合理、更有效的规划方案。     

Groundwater management and socio-economic responses

The socio-economic aspects of groundwater development and management are briefly examined and set against a background of highly technical management. The variability of socio-economic responses to groundwater and the problems of engaging large numbers of individual users are highlighted. The paper argues that social, institutional and political factors are the primary obstacles to sustainable management of the world's groundwater resources.     

POTENTIAL EFFECTS OF CLIMATE CHANGE ON AGRICULTURAL WATER USE IN THE SOUTHEAST U.S.1

ABSTRACT: Climate change has the potential to have dramatic effects on the agricultural sector nationally and internationally as documented in many research papers. This paper reports on research that was focused on a specific crop growing area to demonstrate how farm managers might respond to climate-induced yield changes and the implications of these responses for agricultural water use. The Hadley model was used to generate climate scenarios for important agricultural areas of Georgia in 2030 and 2090. Linked crop response models indicated generally positive yield changes, as increased temperatures were associated with increased precipitation and CO2. Using a farm management model, differences in climate-induced yield impacts among crops led to changes in crop mix and associated water use; non-irrigated cropland received greater benefit since irrigated land was already receiving adequate moisture. Model results suggest that farm managers will increase cropping intensity by decreasing fallowing and increasing double cropping; corn acreage decreased dramatically, peanuts decreased moderately and cotton and winter wheat increased. Water use on currently irrigated cropland fell. The potential for increased water use through conversion of agriculturally important, but currently non-irrigated, growing areas is substantial.     

清水塘地区土壤重金属污染现状及修复技术研究

阐述了清水塘地区土壤和农作物重金属污染现状,提出了对受污染土壤的修复措施及土地利用构想。     

武汉城市圈土地利用变化系统仿真模拟与驱动力分析

土地利用变化是全球环境变化与可持续研究的重要内容,驱动力研究是土地利用变化研究中的核心问题。现有土地利用变化驱动力研究多针对单一的城市区域展开,无法解释城市群地区,城市一体化战略指导下城市交互作用对土地利用变化的影响。运用系统动力学(SD)方法,综合考虑经济、人口、城市化、政策等主要人文因素,并将城市交互作用因素引入SD,以武汉城市圈为例,构建土地利用变化系统SD模型,运用1997~2006年的历史数据进行检验,并对武汉城市圈2010~2020年不同情景下的土地利用变化进行模拟。结果表明,建立的SD模型是有效的,两种情景下土地利用变化表现出差异性,说明城市交互作用是除经济、人口城市化等社会经济因素外,土地利用变化的又一重要影响因素。     

城市路面积尘微塑料污染特征

微塑料作为一种新兴污染物,由于其对生态系统具有潜在的负面影响,受到了广泛的关注.但是目前关于其在陆地环境中,尤其是路面积尘中的相关信息相对有限.本文对马鞍山市雨山区路面积尘的微塑料污染特征进行了研究.研究区域内单位面积路面所积累的微塑料丰度为(18.11±32.36)n·m-2,含量为(27.29±72.64)mg·m...     

ISAPEC中知识自动获取的设计与实现

剖析了利用人工神经网络实现大气污染总量控制规划智能决策支持系统（ＩＳＡＰＥＣ）中知识自动获取的必要性，论述了ＩＳＡＰＥＣ中知识的自动获取的设计与实现过程，并用一实例进行了验证。结果表明用人工神经网络实现知识的自动获取与知识的人工获取相比既具有更高的时间效率，又能保证更高的质量。     

Fire use: Is it really the cheaper land preparation method for large-scale plantations?

During the last two decades Indonesia has experienced immense forest and land fires. Often these fires are associated with extended drought and widespread use of fire to clear previously logged forest and other degraded land in preparation for oil palm, rubber, or pulpwood plantations. There are many reasons for the use of fire in land clearing activities, but probably the most important one is economics. There is still acceptance that fire is the cheapest, fastest, and most effective land clearing method with the added benefit of providing nutrients from ash residues. This paper provides a review of existing information on the financial costs and benefits of using fire for land clearing in agriculture and forestry plantations as compared with zero-burning techniques. The findings indicate that the economic advantage of fire use varies widely and depends on many factors, such as soil fertility, vegetation density, labour cost, equipment and training costs, and the costs of fire management. For large-scale land clearing, the financial analysis of the costs and benefits of fire versus zero-burning shows that when applied to low-volume vegetation, zero-burning methods are not more expensive than burning – and may actually be more cost effective in the long term. This is the case for clearing oil palm or rubber plantations for replanting, low secondary vegetation, and heavily logged-over forest. Under high-volume forest conditions, burning remains less expensive because it is more difficult, time consuming, and costly to dispose of high volumes of piled wood mechanically.     

Age group differences in collision risk

Introduction

The purpose of the current study was to examine differences in factors associated with self-reported collision involvement of three age groups of drivers based on a large representative sample of Ontario adults. Method: This study was based on data from the CAMH Monitor, an ongoing cross-sectional telephone survey of Ontario adults 18 years and older from 2002 to 2005. Three age groups were examined: 18-34 (n = 1,294), 35-54 (n = 2,428), and 55+ (n = 1,576). For each age group sample, a logistic regression analysis was conducted of self-reported collision involvement in the last 12 months by risk factor measures of driving exposure (kilometers driven in a typical week, driving is stressful, and driving on busy roads), consuming five or more drinks of alcohol on one occasion (past 12 months), cannabis use (lifetime, and past 12 months), and driving after drinking among drinkers (past 12 months), controlling for demographics (gender, region, income, and marital status). Results: The study identified differences in factors associated with self-reported collision involvement of the three age groups of adult drivers. The logistic regression model for the youngest group revealed that drivers who reported that driving was stressful at least some of the time, drank five or more drinks on an occasion, and drove after drinking had an increased risk of collision involvement. For the middle age group, those who reported using cannabis in the last 12 months had significantly increased odds of reporting collision involvement. None of the risk factor measures showed significant associations with collision risk for older drivers (aged 55+). Impact: The results suggest potential areas for intervention and new directions for future research.