基于景观格局的盐城海岸带土地利用时空变化分析

在GIS和RS技术支持下,以行政区划为评价单元,通过土地利用转移矩阵、景观格局指数对盐城海岸带土地利用变化的主要方式、景观格局特征及时空分异规律进行定量分析。结果表明:2000~2010年,盐城海岸带土地利用类型以耕地、建设用地和水域为主,其中耕地是盐城海岸带的优势类型,虽然近年来呈逐渐下降的趋势,但仍是区域景观基质类型,均占总面积的78%以上;海岸带景观水平趋于破碎化,区域景观格局更加复杂化、分散化和多样化;研究区北部景观水平特征指数较中部、南部为高。自然地理条件、经济发展水平及不同土地利用方式所带来的利益差异是导致盐城海岸带景观格局变化的关键驱动因素。     

曝气+化学絮凝法预处理环氧丙烷废水简

根据环氧丙烷废水的特点,应用电化学法处理具有较高的可行性。运用电化学法处理PO废水前必须进行废水预处理,用以提高电流效率和延长极板寿命。采用曝气和化学絮凝结合的方法去除PO废水中的Ca²⁺,同时去除部分COD。对曝气、无机絮凝剂（PACl、PFS）和有机絮凝剂（PAM）对PO废水处理过程中的曝气量、曝气时间、投药量、复配和沉降时间等主要影响因子进行了实验研究,通过比较Ca²⁺、COD的去除效果、絮凝剂用量、沉降时间、处理成本等方面,在设定的实验参数下得到最佳预处理方案为：曝气量为2.5 L/min,曝气45 min,投加Na₂CO₃粉末24 kg/t 废水,充分混匀后加入PFS+PAM复配絮凝剂。本方案具有废水处理效果好（Ca²⁺的去除率为77.03%,COD的去除率为37.46%）、投药量少（（100+7.5）g/t废水）、沉降时间短（5 min）、处理成本低（0.675元/t废水）等优点。通过对比经预处理和不经预处理后电化学法对COD去除效果、电流和处理后阴极表面,验证了预处理方案的必要性与可行性。     

连续/间歇曝气改良一体化氧化沟处理生活污水对比试验研究

为了提高改良一体化氧化沟(MIOD)的除磷效率和降低运行能耗,分别对连续曝气和间歇曝气(曝气1 h/停曝1 h)2种运行方式下系统处理生活污水的效果进行了对比试验研究.结果表明:(1)连续曝气运行方式下系统对COD、NH3-N、TP的去除率分别为85.28％、91.14％、73.09％;间歇曝气运行方式下系统对COD、...     

Zonal management of arsenic contaminated ground water in Northwestern Bangladesh

This paper used ordinary kriging to spatially map arsenic contamination in shallow aquifers of Northwestern Bangladesh (total area  35,000 km²). The Northwestern region was selected because it represents a relatively safer source of large-scale and affordable water supply for the rest of Bangladesh currently faced with extensive arsenic contamination in drinking water (such as the Southern regions). Hence, the work appropriately explored sustainability issues by building upon a previously published study (Hossain et al., 2007; Water Resources Management, vol. 21: 1245–1261) where a more general nation-wide assessment afforded by kriging was identified. The arsenic database for reference comprised the nation-wide survey (of 3534 drinking wells) completed in 1999 by the British Geological Survey (BGS) in collaboration with the Department of Public Health Engineering (DPHE) of Bangladesh. Randomly sampled networks of zones from this reference database were used to develop an empirical variogram and develop maps of zonal arsenic concentration for the Northwestern region. The remaining non-sampled zones from the reference database were used to assess the accuracy of the kriged maps. Two additional criteria were explored: (1) the ability of geostatistical interpolators such as kriging to extrapolate information on spatial structure of arsenic contamination beyond small-scale exploratory domains; (2) the impact of a priori knowledge of anisotropic variability on the effectiveness of geostatistically based management. On the average, the kriging method was found to have a 90% probability of successful prediction of safe zones according to the WHO safe limit of 10 ppb while for the Bangladesh safe limit of 50 ppb, the safe zone prediction probability was 97%. Compared to the previous study by Hossain et al. (2007) over the rest of the contaminated country side, the probability of successful detection of safe zones in the Northwest is observed to be about 25% higher. An a priori knowledge of anisotropy was found to have inconclusive impact on the effectiveness of kriging. It was, however, hypothesized that a preferential sampling strategy that honored anisotropy could be necessary to reach a more definitive conclusion in regards to this issue.     

提高曝气池污水处理能力的可行性实践

炼化企业污水场控制污泥膨胀,可以在一定限度内有效提高装置的污水处理能力。通过对大连石化公司污水场进行生产分析,在保持有机负荷F/M相对稳定的条件下,好氧生化单元的污泥浓度由设计值2000～2500mg/L,提高至3500～4000mg/L之间,进水COD去除量由设计值8880kg/d,提高到16000kg/d,使装置的处理能力提高了1.8倍。     

深井曝气工艺在啤酒生产废水处理中的应用

新疆乌苏啤酒有限责任公司生产废水采用深井曝气工艺处理,工艺适应性强、处理效果好,运行稳定,出水水质可达《污水综合排放标准）（GB8978-96）中二级标准,其工艺技术可供同类企业借鉴和推广。     

重钢焦化废水新系统纯氧曝气技术的应用研究

重钢焦化厂与国内某企业合作,在不改变现有污水处理厂设施的前提下,用GWQ潜水式射流喷嘴扩散器和相应的供氧系统代替现有空气曝气系统,以考察现有污水处理新系统在采用纯氧曝气情况下的潜能,即考察采用纯氧曝气后承受高负荷和冲击负荷的能力.     

Smart meters for enhanced water supply network modelling and infrastructure planning

To design water distribution network infrastructure, water utilities formulate daily demand profiles and peaking factors. However, traditional methods of developing such profiles and peaking factors, necessary to carry out water distribution network modelling, are often founded on a number of assumptions on how top-down bulk water consumption is attributed to customer connections and outdated demand information that does not reflect present consumption trends; meaning infrastructure is often unnecessarily overdesigned. The recent advent of high resolution smart water meters allows for a new novel methodology for using the continuous ‘big data’ generated by these meter fleets to create evidence-based water demand curves suitable for use in network models. To demonstrate the application of the developed method, high resolution water consumption data from households fitted with smart water meters were collected from the South East Queensland and Hervey Bay regions in Australia. Average day (AD), peak day (PD) and mean day maximum month (MDMM) demand curves, often used in water supply network modelling, were developed from the herein created methodology using both individual end-use level and hourly demand patterns from the smart meters. The resulting modelled water demand patterns for AD, PD and MDMM had morning and evening peaks occurring earlier and lower main peaks (AD: 12%; PD: 20%; MDMM: 33%) than the currently used demand profiles of the regions’ water utility. The paper concludes with a discussion on the implications of widespread smart water metering systems for enhanced water distribution infrastructure planning and management as well as the benefits to customers.