Nitrate leaching in agriculture to upper groundwater in the sandy regions of the Netherlands during the 1992–1995 period

The Dutch National Monitoring Programme for Effectiveness of the Minerals Policy (LMM) was initiated to allow detection of a statutory reduction in nitrate leaching caused by a decreasing N load. The starting point, or baseline, was taken as the nitrate concentration of the upper metre of groundwater sampled on 99 farms in the 1992–1995 period in the sandy areas of the Netherlands, where predominantly grass and maize grow. We found here that a reduction in nitrate leaching of more than 20% in future would almost certainly be detected with the LMM. Detecting downward trends due to decreasing N load will require nitrate concentrations to also be related to soil drainage, precipitation excess leading to groundwater recharge and to location. Furthermore, we found that about 16% of the N load in the Dutch sandy regions was being leached to the upper metre of groundwater in the 1992–1995 period. The critical N load in approximately 1990 for exceeding the EC limit value for nitrate, NO₃, (50 mg L^–1) in the upper metre of groundwater for the mean situation for grassland, maize and arable land in the sandy area was found to be 210 kg ha^–1 a^–1. Because manure management has been altered, the critical load found will be lower than the current critical load .     

Artificial Neural Networks for Risk Decision Support in Natural Hazards: A Case Study of Assessing the Probability of House Survival from Bushfires

Risk decision-making in natural hazards encompasses a plethora of environmental, socio-economic and management-related factors, and benefits greatly from exploring possible patterns and relations among these multivariate factors. Artificial neural networks, capable of general pattern classifications, are potentially well suited for risk decision support in natural hazards. This paper reports an example that assesses the risk patterns or probabilities of house survival from bushfires using artificial neural networks, with a simulation data set based on the empirical study by Wilson and Ferguson (Predicting the probability of house survival during bushfires, Journal of Environmental Management 23 (1986) 259–270). The aim of this study was to re-model and predict the relationship between risk patterns of house survival and a series of independent variables. Various configurations for input and output variables were tested using neural networks. An approach for converting linguistic terms into crisp numbers was used to incorporate linguistic variables into the quantitative neural network analysis. After a series of tests, results show that neural networks are capable of predicting risk patterns under all tested configurations of input and output variables, with a great deal of flexibility. Risk-based mathematical functions, be they linear or non-linear, can be re-modelled using neural networks. Finally, the paper concludes that the artificial neural networks serve as a promising risk decision support tool in natural hazards.     

剩余污泥焚烧灰分磷回收及其技术进展

焚烧渐渐成为剩余污泥终极处理、处置方式,而焚烧产生的污泥灰分中又包括了污水中绝大部分（>90%）的磷.因此,从焚烧灰分中回收磷也为污水磷回收提供了最佳位点.从污泥灰分中回收磷已存在一些适用技术,但灰分中重金属含量对工艺选择有重要影响,这可能会限制灰分直接用作农作物肥料的可行性与价值.因此,磷提取并纯化是灰分磷回收的重要技术步骤,同时也需兼顾工艺经济成本与环境影响.为此,本文从磷提取与磷纯化角度总结了目前灰分磷回收技术的国际研发进展,涵盖生物法、湿式化学法和热化学法;分析比较了不同方法在技术经济、环境影响及适用灰分方面的差别.生物法行之有效、环境影响小,但完成磷回收时间漫长;湿式化学法研发、应用最为广泛,但对环境影响较大;与污泥焚烧统筹合建可使热化学法更具经济性.然而,3类不同技术工艺并不具有相互替代性,需根据灰分成分进行合理选择.此外,前端污水处理以及中端污泥前处理也应与末端灰分磷回收相结合,尽量避免过多化学药剂投加带来的污泥灰分金属含量增加.污泥单独焚烧亦是决定灰分磷回收效率的关键.欧洲政策已明显支持污泥焚烧并从灰分中回收磷,政策和做法值得我国借鉴、学习.     

冀西北水源涵养区不同类型人工针叶林生态功能差异性评估

人工造林被认为是增加碳汇、保持水土和提高水质最有效的方法之一,造林林种的不同将产生不同的生态效应。通过调研土壤、气象及生态化学计量参数等对CENTURY模型进行本地化,模拟冀西北水源涵养区主要针叶造林树种 [落叶松（dahurian larch）、油松（pinus tabulaeformis）、侧柏（oriental arborvitae）和樟子松（Pinus sylvestris var. mongolical）] 的生态效应,并结合文献数据评价模型拟合精度。模型模拟结果显示：与幼龄林相比,落叶松、油松、侧柏和樟子松中龄林的土壤C、N、P总储量分别增加了3.37%、3.98%、2.84%和1.82%,土壤含水量增加了151.25%、73.62%、41.83%和94.98%。不同林种两个林龄平均蒸发量比较显示,落叶松（338.85 mm）<油松（399.86 mm）<侧柏（400.52 mm）<樟子松（401.82 mm）。落叶松可以作为水源涵养区造林的优选树种。樟子松和落叶松具有较强的N、P吸收能力,建议在农业污染的下游区域推广樟子松和落叶松的种植。     

Precipitation Extremes and Flood Frequency in a Changing Climate in Southeastern Virginia

Despite the advances in climate change modeling, extreme events pose a challenge to develop approaches that are relevant for urban stormwater infrastructure designs and best management practices. The study first investigates the statistical methods applied to the land‐based daily precipitation series acquired from the Global Historical Climatology Network‐Daily (GHCN‐D). Additional analysis was carried out on the simulated Multivariate Adaptive Constructed Analogs (MACA)‐based downscaled daily extreme precipitation of 15 General Circulation Models and Weather Research and Forecasting‐based hourly extreme precipitation of North American Regional Reanalysis to discern the return period of 24‐hr and 48‐hr events. We infer that the GHCN‐D and MACA‐based precipitation reveals increasing trends in annual and seasonal extreme daily precipitation. Both BCC‐CSM1‐1‐m and GFDL‐ESM2M models revealed that the magnitude and frequency of extreme precipitation events are projected to increase between 2016 and 2099. We conclude that the future scenarios show an increase in magnitudes of extreme precipitation up to three times across southeastern Virginia resulting in increased discharge rates at selected gauge locations. The depth‐duration‐frequency curve predicted an increase of 2–3 times in 24‐ and 48‐h precipitation intensity, higher peaks, and indicated an increase of up to 50% in flood magnitude in future scenarios.     

煤化工企业高盐废水的“零排放”技术

采用“混凝沉淀-微滤-组合反渗透”工艺对某煤化工企业的高盐废水进行浓缩处理,浓水通过蒸发结晶进行脱水,产水采用常规反渗透进行水回收。运行结果表明,经30 d运行,水回收率保持在85%以上,脱盐率稳定在95%以上,常规反渗透产水水质稳定,产水电导率、浊度、Cl^-质量浓度和COD的平均值分别为12.5 μs/cm,0.1 NTU,7.8 mg/L,1.8 mg/L,满足《炼化企业节水减排考核指标与回用水质控制指标》（Q/SH0104-2007）中污水回用于循环冷却水的水质指标和设计产水水质要求,实现了废水的近“零排放”。     

泽龙湖景观水污染治理及生态修复

为了去除泽龙湖微污染景观水中的氮、磷及有机物等污染成分,采用人工增氧和浮田型生态岛技术对泽龙湖景观水进行了生态修复。结果表明,人工增氧能很好地氧化水中有机物,生态岛水生植物可有效地吸收氮和磷,处理后湖水可达到《地面水环境质量标准》(GB 3838—2002)中的Ⅳ类标准。     

台风“麦德姆”福州降水δ18O特征及水汽来源分析

大气降水的氢氧同位素不仅在长时间尺度和短时间尺度上对气候环境有一定的响应,而且在极端天气事件中也响应强烈。论文基于2014年7月23—24日10号台风麦德姆登陆前后福州降水的氢氧稳定同位素分析,发现台风麦德姆降水的δ¹⁸O变化范围为-7.2‰~-15.4‰,整个降雨过程分为3个阶段：阶段1（23日3：00至23日12：00）,雨水δ¹⁸O相对偏正（加权平均值为-7.8‰）,降水开始增加,主要受台风外围环流的影响;阶段2（23日12：00至24日8：00）,雨水δ¹⁸O显著偏负（加权平均值为-13.9‰）,采样点降水量达134.8 mm,约占观测时段降水量的78%,降雨量效应明显,主要受台风云雨区影响;阶段3（24日8：00至24日17：00）,雨水δ¹⁸O偏正（加权平均值为-9.2‰）,降水减少,台风远离福州。通过降水δ¹⁸O的阶段性特征以及过量氘,结合水汽输送通量与HYSPLIT-4模拟水汽轨迹分析,确定此次降水的水汽源主要来自西北太平洋水汽通道与孟加拉湾和南海水汽通道。     

Assessment of the Extreme Rainfall Event at Nashville,TN and the Surrounding Region on May 1–3, 2010

This paper analyzes the May 1–3, 2010 rainfall event that affected the south‐central United States, including parts of Mississippi, Tennessee, and Kentucky. The storm is evaluated in terms of its synoptic setting, along with the temporal distributions, and spatial patterns of the rainfall. In addition, the recurrence interval of the storm is assessed and the implications for hydrologic structure designs are discussed. The event was associated with an upper‐level trough and stationary frontal boundary to the west of the rainfall region, which remained quasi‐stationary for a period of 48 h. Heavy rainfall was produced by two slow‐moving mesoscale convective complexes, combined with abundant atmospheric moisture. Storm totals exceeding 330 mm occurred within a large elongated area extending from Memphis to Nashville. Isolated rainfall totals over 480 mm were reported in some areas, with NEXRAD weather radar rainfall estimates up to 501 mm. An extreme value analysis was performed for one‐ and two‐day rainfall totals at Nashville and Brownsville, Tennessee, as well as for gridded rainfall estimates for the entire region using the Storm Precipitation Analysis System. Results suggest maximum rainfall totals for some durations during the May 1–3, 2010 event exceeded the 1,000‐year rainfall values from National Oceanic and Atmospheric Administration Atlas 14 for a large portion of the region and reached up to 80% of the probable maximum precipitation values for some area sizes and durations.     

Evaluation of Satellite‐Derived Rainfall Data for Multiple Physio‐Climatic Regions in the Santiago River Basin,Mexico

Assessment of water resources requires reliable rainfall data, and rain gauge networks may not provide adequate spatial representation due to limited point measurements. The Tropical Rainfall Measuring Mission (TRMM) provides rainfall data at global scale, and has been used with good results. However, TRMM data are an indirect measurement of rainfall, and therefore must be validated for its proper use. In this work, a validation scheme was designed and implemented to compare the TRMM Version 7 (V7) monthly rainfall product at different time frames with data measured in two hydrologic subregions of the Santiago River Basin (SRB) in Mexico: Río Alto Santiago and Río Bajo Santiago (RBS). Additionally, three physio‐climatic regions provide an assessment of the interplay of topography, distance from coastal regions, and seasonal weather patterns on the correspondence between both datasets. The TRMM V7 rainfall product exhibited good agreement with the rain gauge data particularly for the RBS and for the whole SRB during wettest summer and autumn seasons. However, strong regional dependence was observed due to differences in climate and topography. Overall, in spite of some noted underestimations, the monthly TRMM V7 rainfall product was found to provide useful information that can be used to complement limited monitoring as is the case of RBS. An improved combined rainfall product could be generated and thus gaining the most benefits from both data sources.