多中心作用下大城市房价空间分异的特征及影响因素——以合肥市为例

随着城镇化水平迅速提高,大城市通过外延式扩张与内涵式发展逐渐形成了多中心,在多中心作用下城市空间,尤其是房价空间的变化表现出异质性与复杂性.以快速发展的合肥市为例,从不同空间尺度利用地统计法研究城市房价的空间分异特征,并通过构建特征价格模型分析房价空间分异的主导因素,以揭示城市空间结构与房价空间分异的逻辑关联.结果表明:(1)在主城区尺度上,房价空间分布与多中心结构相符,在各中心范围内形成了 3个高房价区;(2)在中心区尺度上,各中心区房价呈现出圈层与扇形相混合的分布特征,不同规模等级的中心对其周边房价影响范围的差异,形成了不同的空间变异模式;(3)影响房价空间分异的三类特征中,结构特征与邻里特征在主城区尺度上对房价空间分异产生了较大的作用;(4)不同功能的中心区房价空间分异的主导因素各异,区位特征对旧城中心的影响最大,结构特征与区位特征均对行政中心有较大影响,结构特征是新区中心影响房价最主要的因素.     

城市水环境智慧水务系统建设探索

在大数据、物联网、云计算、人工智能等新技术的基础上,结合城市信息化现状,整合全部涉水资源,从水务业务应用的实际需求出发,明确智慧水务建设目标,以"5+3+1"的模式建设智慧水务信息化系统,主要包括5个一整体架构(智能感知网、数据中心、服务平台、业务应用体系、技术规范体系)、3大板块(业务管理、运营管理、辅助决策)和1个综合监管平台。     

土壤监测质量保证与质量控制

质量保证与质量控制措施是土壤监测工作在具体开展过程中确保其监测结果准确性、代表性、全面性的重要措施,同时也是土壤监测工作在具体开展过程中的核心工作内容。在环境保护与可持续发展战略情况下,采取全面有效的质量保证与质量控制措施可以确保并优化土壤监测结果的真实性、准确性和全面性,对促进土壤监测工作的优化发展具有非常重要的意义。基于此,本文针对土壤监测工作开展过程中应当实施的各项质量保证与质量控制措施进行了分析总结。     

Practitioner Insights into Weed Management on California’s Rangelands and Natural Areas

Working rangelands and natural areas span diverse ecosystems and face both ecological and economic threats from weed invasion. Restoration practitioners and land managers hold a voluminous cache of place-based weed management experience and knowledge that has largely been untapped by the research community. We surveyed 260 California rangeland managers and restoration practitioners to investigate invasive and weedy species of concern, land management goals, perceived effectiveness of existing practices (i.e., prescribed fire, grazing, herbicide use, and seeding), and barriers to practice implementation. Respondents identified 196 problematic plants, with yellow starthistle (Centaurea solstitialis L.) and medusahead (Elymus caput-medusae L.) most commonly listed. Reported adoption and effectiveness of weed management practices varied regionally, but the most highly rated practice in general was herbicide use; however, respondents identified considerable challenges including nontarget effects, cost, and public perception. Livestock forage production was the most commonly reported management goals (64% of respondents), and 25% of respondents were interested in additional information on using grazing to manage invasive and weedy species; however, 19% of respondents who had used grazing for weed management did not perceive it to be an effective tool. Across management practices, we also found common barriers to implementation, including operational barriers (e.g., permitting, water availability), potential adverse impacts, actual effectiveness, and public perception. Land manager and practitioner identified commonalities of primary weeds, management goals, perceived practice effectiveness, and implementation barriers across diverse bioregions highlight major needs that could be immediately addressed through management–science partnerships across the state’s expansive rangelands and natural areas.     

Estimating sampling frequency in pollen exposure assessment over time

A time series model was fitted to the pollen concentration data collected in the Greater Cincinnati area for the Cincinnati Childhood Allergy and Air Pollution Study (CCAAPS). A traditional time series analysis and temporal variogram approach were applied to the regularly spaced databases (collected in 2003) and irregularly spaced ones (collected in 2002), respectively. The aim was to evaluate the effect of the sampling frequency on the sampling precision in terms of inverse of standard error of the overall level of mean value across time. The presence of high autocorrelation in the data was confirmed and indicated some degree of temporal redundancy in the pollen concentration data. Therefore, it was suggested that sampling frequency could be reduced from once a day to once every several days without a major loss of sampling precision of the overall mean over time. Considering the trade-offs between sampling frequency and the possibility of sampling bias increasing with larger sampling interval, we recommend that the sampling interval should take values from 3 to 5 days for the pollen monitoring program, if the goal is to track the long-term average.     

基于改进的非线性GM(1,1)模型的职业病预测研究

为了更准确地预测职业病,在传统GM(1,1)模型的基础上,提出改进的非线性GM(1,1)模型,在传统的GM(1,1)模型中引入弱化算子,将紧邻均值与原始数据之间的线性假设改为非线性假设,提高曲线的拟合度。以2005—2014年的全国职业病例数为研究对象,进行数据拟合和预测分析,其中以2014年职业病例数作为验证数据,并利用后验差比值和小误差概率2个参数,检验该改进模型的预测精度。由应用实例的分析结果可知:在职业病发病趋势的预测方面,改进的非线性GM(1,1)模型的预测精度提高到一级,曲线拟合度较高,预测得到2015年的职业病例数为34 900例。     

厌氧折流板式微生物燃料电池堆影响因素研究

微生物燃料电池(MFC)中输出电压/电流的提升,以及反应器体积的扩展放大是其工程化应用的关键。本文构建了一个总体积为6.4 L的新型厌氧折流板式微生物燃料电池堆(ABSMFC)。以葡萄糖作为底物,探讨了阳极材料、液面高程差和水力停留时间(HRT)等因素对ABSMFC性能的影响。结果表明,碳纤维毡作为阳极时,电池单体外电路平均分压(R_(ex)=1 000Ω)为210 mV,填充石墨颗粒后增加到319.8 mV。格室间存在液面高程差时,电池单体、串联和并联的功率密度分别为207.1、181.1和215.7 mW/m~2,当无液面高程差(即水力相连)时为205.8、69.5和151.5 mW/m~2。4个电池单体串联和并联连接时,HRT对ABSMFC的产电稳定性无影响,溶解性COD的去除率和库仑效率均随HRT的增加而升高,且并联效果优于串联。     

3种大型海藻对含铅废水的生物吸附研究

运用批吸附技术研究了海带、裙带菜和条斑紫菜对水溶液中Pb2+的吸附特性。结果表明:pH是影响生物吸附的重要因素,海带和裙带菜吸附Pb2+的适宜pH在3~5之间,紫菜吸附Pb2+的最佳pH为4;在20~40℃范围内,3种海藻对Pb2+的生物吸附非常快,40 min达到吸附平衡,动力学数据符合准二级动力学模型;Langmuir和Freundlich模型成功地拟合了平衡数据。热力学分析表明吸附能够自发进行。红外光谱分析表明,羧基是海带和裙带菜吸附Pb2+的主要官能团。实验结果表明,用这3种海藻吸附剂对水溶液中Pb2+具有较好的吸附性能,海带和裙带菜的吸附容量相近,优于紫菜。     

模拟黑水的生物处理

针对以糖蜜配制的半人工黑水生物处理时除磷效率下降和污泥膨胀的现象,利用序批式反应器(SBR)进行了实验分析,比较了以蔗糖和糖蜜为主要碳源时除磷效果的差异,并探讨了污泥膨胀发生的原因。研究表明,以糖蜜为主要碳源配制模拟黑水时的除磷效果比蔗糖为碳源时差,主要是由于GAOs的竞争性代谢所致。以糖蜜为碳源的条件下,污泥的胞外聚合物含量是正常活性污泥的一倍以上,导致污泥沉降性能变差;糖蜜碳源时的夏季高温条件下丝状菌大量生长也是导致污泥膨胀的重要原因。     

生物强化处理石油污染土壤理化性质和微生物学特性的纵向分布特征

采用原位强化生物修复技术对某区块石油污染土壤进行为期16个月的生物修复,考察了处置后污染土壤理化性质、微生物学特性以及石油烃组成的纵向分布特征。实验结果表明,经过修复后各土层的石油烃去除率是表层土IN-3(50.42%)中层土IN-2(23.54%)底层土IN-1(10.51%);IN-1处于缺氧环境,存在硫酸盐还原和反硝化作用,使得土壤pH值从7.86±0.03降低至7.27±0.03,土壤总氮从2.53±0.13 g/kg降低至0.77±0.04 g/kg;厌氧菌的种群数量是IN-1(10.43±0.71×104CFU/g)IN-3(6.74±0.39×104CFU/g)IN-2(5.15±0.42×104CFU/g),放线菌数量与石油烃含量显著负相关(r=-0.989,p=0.0110.05);IN-3对饱和份和芳香份的降解率最高,分别达到了70.27%和54.52%,远高于IN-2和IN-1;模拟蒸馏结果表明,IN-3正构烷烃得到了很大程度的去除,缺氧的IN-1对正构烷烃去除得较少;厌氧菌数量与胶质和沥青质去除率之间成正相关关系,对于污染源较为分散的污染区域,采用原位生物强化修复时可以考虑引入厌氧修复。