Effects of Urban Spatial Structure,Sociodemographics, and Climate on Residential Water Consumption in Hillsboro,Oregon1

House-Peters, Lily, Bethany Pratt, and Heejun Chang, 2010. Effects of Urban Spatial Structure, Sociodemographics, and Climate on Residential Water Consumption in Hillsboro, Oregon. Journal of the American Water Resources Association (JAWRA) 46(3):461-472. DOI: 10.1111/j.1752-1688.2009.00415.x Abstract: In the Portland metropolitan area, suburban growth in cities such as Hillsboro is projected to increase as people seek affordable housing near a burgeoning metropolis. The most significant determinants for increases in water demand are population growth, climate change, and the type of urban development that occurs. This study analyzes the spatial patterns of single family residential (SFR) water consumption in Hillsboro, Oregon, at the census block scale. The following research questions are addressed: (1) What are the significant determinants of SFR water consumption in Hillsboro, Oregon? (2) Is SFR water demand sensitive to drought conditions and interannual climate variation? (3) To what magnitude do particular census blocks react to drought conditions and interannual climate variation? Using ordinary least squares multiple regression and spatial regression methods, we found that base use, representing indoor water use, is dependent on household size and that seasonal use, representing external water use is dependent on both education level and the size of the property’s outdoor space. Spatial analysis techniques determined that although the water demand of the study area as a whole is not sensitive to drought conditions, certain individual census blocks do respond with a higher magnitude of water use. The most climate-sensitive census blocks tend to contain newer and larger homes, and have higher property values and more affluent and well-educated residents.     

江苏省能源可持续发展模式初探

针对目前江苏省能源可持续发展面临的挑战,以保障江苏能源综合供需平衡和实现能源 经济 环境协调发展为目标,以调整能源结构、优化能源供给体系、提高能源转化效率和清洁性为立足点,以充分利用省内不同区位的能源发展优势为主线,因地制宜地提炼出江苏省能源可持续发展的基本模式,包括自有资源优化开发模式和外部资源导入开发模式两大类型。其中,自有资源优化开发模式又可分为徐州煤炭工业综合体、苏北石油工业基地和沿海滩涂型可再生能源基地3种子模式;外部资源导入开发模式可分为沿江电力生产基地、苏南电力负荷中心和沿海临港型能源基地3种子模式。各种模式协同发展,有利于增强江苏省的能源可持续发展能力.     

Economic analysis of effects on cultivated land following China's entry to the WTO

Inspired by the phenomenon of heavy reduction in the area of cultivated land following the entry of Korea and Japan to the WTO,countries with a large population and inadequate amount of cultivated land similar to China,this paper raises the problem of the potential effects on cultivated land in China following its entry to the WTO.The paper attempts analysis,using economic principles,of the effects of Chinese WTO membership on cultivated land from four aspects;tariff concessions,quota increment,comparative advantage,and the substitution principle.And the conclusion is mat China's entry to WTO may lead to a reduction in cultivated land.Finally,some countermeasures are proposed to resolve the problem.     

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.     

The Grain-population Relationship and the Effect of Main Food Producing Areas in China

With the increase of global population, grain-popula- tion relationship has attracted great attention worldwide. In China, grain-population relationship has become an increasingly impor- tant economic ...     

省域粮食单产水平与波动状况研究

在我国宜耕耕地后备资源匮乏的背景下,保障国家粮食安全更多地依靠粮食单产水平的提升.分区域、分作物地研究粮食单产水平及其变化特征有助于把握粮食生产布局规律性,为科学地制定分区和分作物的产业指导政策提供依据.本研究通过"剔除趋势"模型,分析了我国主产省份各类粮食作物的单产水平、变化趋势和波动幅度.研究结果表明:我国粮食主产省份可划分为高产稳产区、中产稳产区、波动区和低产区四大类型,单产水平较高的地区主要分布在黄淮海地区、长江下游以及新疆,单产水平较低的地区主要分布在西部,东北主产区单产年际波动剧烈.为确保国家粮食安全,实现总量平衡和结构平衡,分区域产业指导政策宜分别实施稳定、优化、强基、提升四大战略;分作物产业指导政策方向是,水稻重点采取"南增北稳"战略,避免东北主产区水稻产量占全国比重过大造成风险加大的不利影响,小麦和玉米可重点培育新疆新兴产区能力建设.     

中国工业化进程与能源矿产供需均衡的研究

工业化与能源需求的均衡关系及解决工业化进程中能源供需失衡的战略途径是中国工业化进程中需要探讨的重大问题.文章运用协整技术,就1990-2008年间中国工业化进程与能源需求协整关系的检验,认为中国工业化与能源需求增长具有长期稳定的均衡关系,能源需求将继续保持增长,能源利用效率也将持续提高.然而工业化进程中重工业化高能耗结构特征与能源低效利用并存的困境以及能源供需矛盾不利于能源供需平衡的平稳发展.我国应适应工业化进程的基本规律,转变能源消费方式;走新型工业化道路,适当限制低附加值产业发展,鼓励产业向离附加值、低能耗、高技术产业转移;在实现能源开发利用技术进步和创新的同时.有效利用国内外能源资源;建立能源应急机制等战略途径来实现工业化进程中能源供需平衡发展.     

中国ESDPM模型及其在交通需求预测中的应用

交通运输是国民经济的基础部门.未来随着国民经济的快速发展和人均收入水平的不断提高,交通运输部门的能源消费量将会以较高的速度增长,在决定我国终端能耗的局面中占据着非常重要的地位.本文应用集合模型方法建立了中国能源服务需求预测模型( Energy service demand projection model,ESDPM),在对未来经济和社会发展进行合理假设的基础上,预测了中国未来一直到2050年的客运和货运周转量以及小汽车保有量,并进行了国家和地区间的比较.结果显示,2005-2050年中国的客运和货运周转量将分别以年均增长率5.9%和5.1%的速度增长,2050年客运和货运周转量将分别达到23.1万亿人·km和74.7万亿t·km.小汽车将随着人均GDP的快速增加呈现出明显的"S"型增长关系,在小汽车拥有率饱和水平选取为0.4时,小汽车保有量将稳定在5.8亿辆左右.     

后危机时代我国产业升级的约束条件及对策研究

产业升级是一项系统工程,目前面临一些约束条件,制约了产业升级的成效。本文分析了三个方面的约束因素:有效需求约束、供给约束、制度约束,并提出新形势下的产业结构调整对策:调整需求结构、要素投入结构、分配结构,扩大内需;调整三次产业结构;构建有利于产业结构调整的体制机制。     

面向城市水系环境需水的再生水空间配置——以深圳市宝安区为例

以深圳市宝安区为例,探讨以再生水满足城市水系环境需水的方法.应用一维恒定与非恒定水质模型计算了4种补水水质方案下该区10条主要河流的环境需水量,从水量平衡角度提出全区再生水BOD5的平均值,并进一步分析了补水水质与河流环境需水量的关系.结合该区水系与污水处理系统空间位置,提出3种再生水的空间配置方法.结果表明:茅洲河和...