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.     

Wildfire effects on hiking and biking demand in New Mexico: a travel cost study

We use a travel cost model to test the effects of wild and prescribed fire on visitation by hikers and mountain bikers in New Mexico. Our results indicate that net benefits for mountain bikers is $150 per trip and that they take an average of 6.2 trips per year. Hikers take 2.8 trips per year with individual net benefits per trip of $130. Both hikers' and mountain bikers' demand functions react adversely to prescribed burning. Net benefits for both groups fall as areas recover from prescribed burns. Because both visitation and annual recreation benefits decrease to these two types of visitors, this gives rise to multiple use costs associated with prescribed burning. With respect to wildfire, hikers and mountain bikers both exhibit decreased visitation as areas recover from wildfires, however, only hikers indicate an increase in per trip net benefits. Bikers' demand effectively drops to zero. These results differ from previous findings in the literature and have implications for efficient implementation of the National Fire Plan and whether prescribed burning is a cost effective tool for multiple use management of National Forests. Specifically, that fire and recreation managers cannot expect recreation users to react similarly to fire across recreation activities, or different geographic regions. What is cost effective in one region may not be so in another.     

我国需水总量零增长问题研究

一个国家需水总量零增长问题,是其水资源长期供求预测的重要内容,也是水资源需求量管理工作的重要组成部分,具有前瞻性和战略性的重要意义。研究通过分析国内外经济发达国家和地区的第三产业在三次产业结构中的比例与总需水量的关系,采用"产业结构分析法"探讨我国需水总量零增长可能出现的时期和需水总量的最大值。据此法分析,一个国家或地区的第三产业GDP占三次产业总量的比重达到60%左右时,其总需水量可能达到零增长(或负增长)。我国到2026-2030年左右全国需水量可能进入零增长期,需求量最大值将达到6 300×10⁸ m³左右。     

基于生态系统服务供需关系的广西县域国土生态修复空间分区

国土生态修复是我国土地整治战略发展的需求,其空间分区与管控是实施国土整治与生态修复差别化建设的前提条件。以广西各县市为研究单元,在测算和分析生态系统服务供给量和需求量基础上,利用象限匹配法、双变量局部空间自相关和供需协调度来定量分析生态系统服务供需匹配关系、空间聚集程度和协调关联性,进而探讨和划分广西国土生态修复的空间分区及其管控措施与建议。研究表明:(1)广西各县市生态系统服务供给和需求差异明显。环绕广西的四周山林地和重点生态功能区县生态系统服务供给量较高,大中城市区则较低。生态系统服务需求量自东南向西北逐渐减少。(2)广西生态系统服务供需空间匹配呈现高供高需型、低供高需型、低供低需型、高供低需型四种类型,供需局部空间自相关以高—低或低—高的空间聚集为主,且生态系统服务供需协调度平均值为0.531,处于一般均衡。(3)结合生态系统服务供需匹配四类特征和广西地理环境条件,将广西各县域划分为10个分区,并针对各分区提出差异化整治措施和建议。总体上,生态系统服务高供高需型的区域应以保育为主、培育为辅,防止过度开发;高供低需型的区域以保护为主,提高管理水平;低供高需型的区域应以综合改良为主,...     

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.     

基于SARIMA模型的黑龙江省冰雪旅游国际需求预测

选取黑龙江省1990-2011年冰雪旅游入境人次的月度时间序列为研究样本,建立SARIMA模型对黑龙江省冰雪旅游国际需求进行分析预测。结果表明,SARIMA（4,1,4）（1,1,1）。模型的拟合度和短期预测效果都较好。通过应用SARIMA模型进行冰雪旅游预测,以期对黑龙江省旅游企业的冰雪旅游国际客源市场开发及政府部门制定冰雪旅游发展战略和政策调整提供重要的理论依据。     

Multi-objective-based optimal transmission switching and demand response for managing congestion in hybrid power systems

ABSTRACT

This paper proposes a novel congestion management (CM) approach by using the optimal transmission switching (OTS) and demand response (DR) for a system with conventional thermal generators and renewable energy sources (RESs). In this paper, wind and solar PV units are considered as the RESs. The stochastic behavior of wind and solar PV powers are modeled by using the appropriate probability density functions (PDFs). The proposed CM methodology simultaneously optimizes the generation dispatch, demand response, and also the network topology of the power system. The OTS identifies the branches that should be taken out of service by significantly reducing the operating cost of the system while respecting the system security. Here, the total operating cost minimization/social welfare maximization and system losses minimization are considered as the objectives to be optimized. The proposed CM problem is solved using the multi-objective Jaya algorithm and it is used to determine a set of Pareto-optimal solutions. The Jaya algorithm is simple and it does not have any algorithmic-specific parameters to be tuned. This aspect reduces the designer’s effort in tuning the parameters to arrive at the optimum objective function value. A fuzzy logic-based approach is used to identify the best compromise solution. The effectiveness of the proposed CM approach is examined on modified IEEE 30 and practical Indian 75 bus test systems. The obtained simulation results are analyzed and they show the effectiveness of the proposed approach.     

关于我国能源安全稳定供应的思考

简要介绍了中国的能源供求现状,指出中国能源的两大特征:①煤炭消费为主;②人均消费低、能源利用率低。笔者强调,中国能源对外依存增大,已成为能源输入国;提出逐步调整以煤为主的能源结构,实现能源替代,构建优质化、多元化的能源结构的策略;着重从5个方面进行调整———重点解决石油供不应求的能源结构性矛盾、加强煤炭资源的清洁和优质开发利用、发展以利用洁净煤技术为基础的电力工业、提高核电的比例、加强新能源和可再生能源的开发利用,确保我国能源的安全稳定供应和可持续发展。     

秦皇岛市工业领域“十二五”节能潜力分析

结合总体节能目标,对秦皇岛市“十二五”期间的能源需求进行了预测,并对三大产业能源利用形式及能源利用比例进行了分析。结果表明,第二产业的能源消耗比重最大,将成为节能总量控制的重点,而重中之重则是其中的工业领域节能。测算并分析了工业领域的节能潜力,范围涵盖玻璃制造、装备制造、粮油食品制造、金属压延业、建材、电力、化工7个主要行业。     

太湖流域典型河网水体氮磷负荷及迁移特征

对西太湖流域典型河道水体及沉积物氮磷含量进行分析,利用原柱样培养实验测定了沉积物-水界面氮磷交换通量及需氧量(SOD),并探讨他们之间的关系,结果表明:研究区域河道水体和沉积物氮磷总体含量水平较高,水体TN和TP平均含量分别为4.12mg/L和0.16mg/L,沉积物TN和TP平均含量分别为1658.76mg/kg和712.25mg/kg, NO₃^--N为水体无机氮的主要存在形态,NH₄⁺-N为沉积物无机氮的主要存在形态.沉积物需氧量(SOD)区域间差异较大,大体呈现西、南部区域较高,北部区域较低的特征;沉积物-水界面各无机氮磷交换通量分别为:NH₄⁺-N为-188.08~329.45mg/(m²·h),均值为13.05mg/(m²·h);NO₃^--N为-118.68~42.86mg/(m²·h),均值-28.09mg/(m²·h);NO₂^--N为-18.37~-4.81mg/(m²·h);均值-8.22mg/(m²·h);溶解性活性磷(SRP)为-10.94~10.58mg/(m²·h),均值1.34mg/(m²·h). NH₄⁺-N整体表现为由沉积物向上覆水释放,且与沉积物有机质(LOI)呈极显著正相关,SRP交换通量与沉积物中TP和TDP均显著正相关,表明NH₄⁺-N的释放与沉积物有机质的分解有关,SRP释放主要受沉积物TP和TDP影响.总体看,西部区域点位沉积物及水体氮磷污染最为严重,氮磷交换通量也较大,在区域内又表现为下游入湖口 > 上游的特征,表明人类活动对太湖流域典型河网氮磷水平及迁移转化特征影响较大.