石灰干化污泥稳定后土壤中Pb、Cd和Zn浸出行为的研究

以人工制备Zn、Pb、Cd污染土壤为研究对象,采用城市污水处理石灰干化污泥作为稳定剂,对污染土壤进行稳定化处理,并采用TCLP、SPLP、去离子水浸提和优化的BCR连续提取法对稳定化效果进行分析和评价.结果表明,单独使用石灰干化污泥,TCLP浸出浓度随着干化污泥质量分数的增加而显著减少,干化污泥的质量分数为40%时,稳定化率最大为Zn-99.54%、Pb-99.60%、Cd-99.85%.SPLP和去离子水浸出评价稳定效果时,Pb和Zn在加入质量分数10%和20%的干化污泥时浸出明显降低,但在加入30%和40%时由于在强碱条件Pb和Zn会再溶出,导致稳定效果变差.为了恢复植物生长功能,经过FeSO4和H3PO4调节pH后,石灰干化污泥稳定过的土壤pH有效降低,同时FeSO4和H3PO4有利于促进Pb和Zn的稳定效果.经稳定化后,土壤中的重金属可交换态降低,限制了土壤重金属的迁移.该研究结果表明石灰干化污泥可以再利用,应用于重金属污染土壤的稳定化修复中,并能改善稳定后土壤适宜植物生长的理化性质.     

不同施磷量(KH2PO4)作用对Cu、Zn在红壤中的迁移转化

为了比较不同施磷量对土壤中重金属Cu、Zn迁移转化的影响,采用土壤柱进行室内淋溶实验,研究常见的磷肥磷酸二氢钾在少量5 mg·kg-1,适量15 mg·kg-1以及过量25 mg·kg-1条件下对Cu、Zn在红壤中的淋溶效应.结果表明土壤施用磷酸二氢钾降低了土壤渗滤液的pH,不同施磷量对土壤渗滤液pH影响不大,在整个淋滤过程,渗滤液pH呈现上升的趋势.磷酸盐作用下重金属Cu在土壤中的迁移主要集中表层土壤中,而Zn逐渐向深层土壤中迁移.土壤深层渗滤液中Cu、Zn浓度均比较低,对浅层地下水的危害性不大.淋滤结束后,重金属主要以残渣态存在土壤中,重金属Cu残渣态的比例为60%左右,重金属Zn残渣态比例为40%左右.高浓度磷酸二氢钾作用下有利于重金属Zn从残渣态及有机结合态向交换态转化.     

不同条件下皂苷对污染塿土中Cu、Pb的淋洗修复

为了探讨环境友好型生物表面活性剂皂苷(saponin)对污染塿土中重金属Cu、Pb的淋洗修复效果,采用批次试验方法,研究了皂苷在不同的淋洗时间、质量浓度、p H、淋洗次数及背景电解质强度下对Cu、Pb单一污染塿土和复合污染塿土中Cu、Pb的淋洗效果.结果表明,当皂苷质量浓度为50 g·L-1、p H值为5.0、淋洗时间为240 min、无背景电解质离子共存时,重金属离子通过与皂苷胶团络合,对污染塿土中Cu、Pb的淋洗去除效果达到最大;在单一污染塿土和复合污染塿土中,50g·L-1的皂苷在最佳淋洗条件下对Cu的单次淋洗百分率分别为29.02%和25.09%,对Pb的单次淋洗百分率分别为31.56%和28.03%,同时也显示皂苷对Pb的去除效果比Cu更显著.经过4次淋洗后,在单一污染塿土和复合污染塿土中皂苷对Cu的累积淋洗百分率分别为58.92%和53.11%,对Pb的累积淋洗百分率分别为77.69%和65.32%.单次淋洗前后污染塿土中重金属形态分级结果表明:污染塿土中吸附态、交换态Cu、Pb的质量分数有所增加;碳酸盐结合态、有机结合态和硫化物残渣态的Cu、Pb可得到有效去除.     

覆膜与降雨类型对土壤水分及NO3--N淋失的影响

在丹江口库区青塘河五龙池小流域,以黄棕壤横垄种植玉米为例,设置覆膜与无覆膜两种处理,采用田间小区实验研究覆膜与降雨类型对0~30 cm土壤水分和NO-3-N淋失的影响.结果表明:两处理土壤含水量均随土层加深而增加,与无覆膜相比覆膜可降低0~10、10~20、20~30cm土层中的含水量.不同降雨类型对覆膜土壤含水量的影响有区别,小雨时3层土壤间差异显著,含水量随土层加深急剧增加;中雨时10~20cm比0~10 cm、20~30 cm比10~20 cm分别高50.80%、6.62%,0~10 cm土壤含水量显著低于10~20 cm和20~30 cm;暴雨时含水量随土层加深增幅变小;覆膜土壤土层越深土壤含水量受降雨的影响越小.覆膜可降低0~10、10~20 cm土层中的NO-3-N淋失量,分别降低40.74%、24.48%,但会增加20~30 cm的淋失;两处理土壤NO-3-N淋失量均随土层加深而增加.不同降雨类型对覆膜土壤NO-3-N淋失的影响也有区别,小雨时随土壤深度的增加淋失量增多;中雨时,0~10、20~30 cm NO-3-N淋失量分别为10~20 cm的1.75、8.41倍;暴雨时,0~10、20~30 cm分别比10~20 cm低18.97%和60.69%.土壤中NO-3-N淋失受土壤含水量的影响,且随土层加深含水量对NO-3-N淋失的影响减弱.     

发达国家（地区）农业现代化进程中农户与市场对接模式比较

通过对美国、日本、法国、我国台湾地区农户与市场对接模式的比较,发现依靠中间组织——农协、企业、农业合作组织等实现了农业流通现代化。基于此,结合我国农业现状和具体国情,提出从政府引导、农产品流通的组织建设、加强市场监管力度三个方面来实施我国农户与市场的对接,从而加快我国农业流通现代化进程和农业经济的可持续发展。     

Characterizing sources of nitrate leaching from an irrigated dairy farm in Merced County, California

Dairy farms comprise a complex landscape of groundwater pollution sources. The objective of our work is to develop a method to quantify nitrate leaching to shallow groundwater from different management units at dairy farms. Total nitrate loads are determined by the sequential calibration of a sub-regional scale and a farm-scale three-dimensional groundwater flow and transport model using observations at different spatial scales. These observations include local measurements of groundwater heads and nitrate concentrations in an extensive monitoring well network, providing data at a scale of a few meters and measurements of discharge rates and nitrate concentrations in a tile-drain network, providing data integrated across multiple farms. The various measurement scales are different from the spatial scales of the calibration parameters, which are the recharge and nitrogen leaching rates from individual management units. The calibration procedure offers a conceptual framework for using field measurements at different spatial scales to estimate recharge N concentrations at the management unit scale. It provides a map of spatially varying dairy farming impact on groundwater nitrogen. The method is applied to a dairy farm located in a relatively vulnerable hydrogeologic region in California. Potential sources within the dairy farm are divided into three categories, representing different manure management units: animal exercise yards and feeding areas (corrals), liquid manure holding ponds, and manure irrigated forage fields. Estimated average nitrogen leaching is 872 kg/ha/year, 807 kg/ha/year and 486 kg/ha/year for corrals, ponds and fields respectively. Results are applied to evaluate the accuracy of nitrogen mass balances often used by regulatory agencies to assess groundwater impacts. Calibrated leaching rates compare favorably to field and farm scale nitrogen mass balances. These data and interpretations provide a basis for developing improved management strategies.     

Long-term depletion of calcium and other nutrients in eastern US forests

Both harvest removal and leaching losses can deplete nutrient capital in forests, but their combined long-term effects have not been assessed previously. We estimated changes in total soil and biomass N, Ca, K, Mg, and P over 120 years from published data for a spruce-fir site in Maine, two northern hardwood sites in New Hampshire, central hardwood sites in Connecticut and Tennessee, and a loblolly pine site in Tennessee. For N, atmospheric inputs counterbalance the outputs, and there is little long-term change on most sites. For K, Mg, and P, the total pool may decrease by 2%–10% in 120 years depending on site and harvest intensity. For Ca, net leaching loss is 4–16 kg/ha/yr in mature forests, and whole-tree harvest removes 200–1100 kg/ha. Such leaching loss and harvest removal could reduce total soil and biomass Ca by 20%–60% in only 120 years. We estimated unmeasured Ca inputs from rock breakdown, root-zone deepening, and dry deposition; these should not be expected to make up the Ca deficit. Acid precipitation may be the cause of current high leaching of Ca. Although Ca deficiency does not generally occur now in acid forest soils, it seems likely if anthropogenic leaching and intensive harvest removal continue.     

城市洪涝灾害的成灾模式初步分析

城市是一个通过水、电、气、交通、通讯、计算机网络等国民经济命脉系统联系在一起的集政治、经济、文化、外交等社会活动中心于一体的人口资产密集区。我国目前正处于经济和城市化高速发展时期,城市在发展的同时深刻地改变了当地自然环境,增加了洪涝灾害发生的频率,城市洪涝灾害损失也以前所未有的速度增长,城市洪涝灾害损失的基本模式,除了造成人员伤亡、建筑物和物资直接受损毁外,更在于命脉系统因灾瘫痪导致社会经济活动中断;地下设施迅速发展加重了洪涝灾害风险;建筑物内部财产损失比重增加;以及由洪涝灾害促使持续发展受阻和环境破坏等问题。     

Short-term wind speed forecasting based on random forest model combining ensemble empirical mode decomposition and improved harmony search algorithm

ABSTRACT

Wind speed forecasting plays an important role in power grid dispatching management. This article proposes a short-term wind speed forecasting method based on random forest model combining ensemble empirical modal decomposition and improved harmony search algorithm. First, the initial wind speed data set is decomposed into several ensemble empirical mode functions by EEMD, then feature extraction of each sub-modal IMF is performed using fast Fourier transform to solve the cycle of each sub-modal IMF. Next, combining the high-performance parameter optimization ability of the improved harmony search algorithm, two optimal parameters of random forest model, number of decision trees, and number of split features are determined. Finally, the random forest model is used to forecast the processing results of each submodal IMF. The proposed model is applied to the simulation analysis of historical wind data of Chaoyang District, Liaoning Province from April 27, 2015 to May 22, 2015. To illustrate the suitability and superiority of the EEMD-RF-IHS model, three types of models are used for comparison: single models including ANN, SVM, RF; EMD combination models including EMD-ANN, EMD-SVM, EMD-RF; EEMD combination models including EEMD-ANN, EEMD-SVM, EEMD-RF. The analysis results of evaluation indicators show that the proposed model can effectively forecast short-term wind data with high stability and precision, providing a reference for forecasting application in other industry fields.     

化工装置爆炸事故模式及预防研究

对建国以来我国已经发生的典型化工装置爆炸事故原因进行了统计分析 ,总结了爆炸危险性的影响因素。结合对已经发生的事故案例的剖析 ,提取并建立了装置内爆炸事故模式 ,对各种模式的爆炸机理和发生条件进行了初步的研究分析 ,并提出事故的预防措施 ,以期指导安全生产