Effect of Earthworm(Pheretima sp.) Density on Revegetation of Lead/zinc Metal Mine Tailings Amended with Soil

Abstract

The objective of this study was to investigate the effects of earthworm density on the availability of nutrients and heavy metals in metal contaminated soils. Pb/Zn mine tailings were mixed throughly with a red yellow podzolic soil at the ratio (w/w) of 75:25. Earthworms (Pheretima sp.) were introduced to the mixture at four different densities, zero, three, six and nine individuals per pot planted with ryegrass (Loliun multiflorum). The results indicated that earthworm activity significantly enhanced ryegrass shoot biomass. However, as denser earthworm population was introduced, shoot biomass tended to decrease. Earthworm activity significantly increased soil pH and availability of N, P and K in the tailings and soil mixture. There was a general tendency that uptake of Zn by ryegrass increased after earthworm inoculation, although the increase in extractable Zn in tailings and soil mixture was not significant. On the contrary, there seemed to be a lower uptake of Pb by ryegrass under earthworm inoclation, despite the fact that higher extractable Pb concentrations were observed. The present project indicated that the improved growth of ryegrass was due to improved nutrient availability and other soil conditions, by inoculation of earthworms at an appropriate rate. Further studies are needed to illustrate the relationship between metal availability and earthworm activity in the field.     

钢铁生产行业二英污染特征变化及其排放因子

对我国某省多家钢铁生产企业烧结工序和电炉工序排放烟气中二英（PCDD/Fs）污染水平、排放特征及其排放因子进行了初步研究.结果表明,烧结工序PCDD/Fs毒性当量浓度（以I-TEQ计,下同）为0.003~0.557 ng·m^-3,均值为0.165 ng·m^-3;电炉工序PCDD/Fs毒性当量浓度为0.006~0.057 ng·m^-3,均值为0.025 ng·m^-3.PCDD/Fs毒性当量浓度水平总体较低,较2005~2019年研究报道结果下降1~2个数量级.2005~2020年,钢铁生产行业排放PCDD/Fs毒性当量浓度水平先升高后降低,尤其是新的标准限值实施以及对烟尘等常规污染物进行超低排放控制后,呈现大幅下降.指纹谱图特征显示,所有烟气样品17种PCDD/Fs中最大浓度贡献单体为2,3,7,8-TCDF,与已有研究中以高氯代PCDFs和PCDDs为主不同,且低氯代PCDFs占比有所增加,表明PCDD/Fs生成主要来源有所变化.烧结工序和电炉工序PCDD/Fs同类物指纹分布特征相似,呈现典型的高温热过程特征,两个工序生产过程中PCDD/Fs的生成机制可能均为"从头合成".钢铁生产企业烧结工序PCDD/Fs废气排放因子（以I-TEQ计,下同）为0.003~0.5 μg·t^-1,排放因子平均值为（0.18±0.22）μg·t^-1;电炉工序PCDD/Fs废气排放因子为0.04~0.5 μg·t^-1,排放因子平均值为（0.27±0.23）μg·t^-1;低于UNEP于2013发布的"二英和呋喃排放识别和量化标准工具包"以及2004年我国二英排放清单中的排放因子,建议对我国钢铁生产行业PCDD/Fs排放状况开展调查,更新排放因子.     

南水北调东线山东境内调蓄湖库蓝藻种群分布特征及环境驱动因子

为掌握南水北调东线山东境内调蓄湖库在工程运行前后蓝藻种群的分布情况及其环境驱动因子,于2010～2019年的5～11月对南四湖、东平湖、大屯水库、东湖水库和双王城水库进行藻类和水环境调查.共检出浮游蓝藻44种,其中丝状蓝藻23种.湖泊假鱼腥藻、拉氏拟柱孢藻、铜绿微囊藻和惠氏微囊藻在各调蓄湖库的检出频次和密度均较高,是主要有害蓝藻种.通过分析各调蓄湖库蓝藻种群的分布特征,发现丝状蓝藻在水力扰动较大水体中的生长优势较为明显,应成为日后调蓄湖库蓝藻风险防控的重点.Pearson相关性分析和广义线性拟合曲线结果显示,总氮、总磷、水温和水深是影响调蓄湖库主要有害蓝藻种生长的主要环境驱动因子.氮磷营养盐对于有害蓝藻种的生长具有显著的促进作用.湖泊假鱼腥藻具有良好的温度适应性,在夏初秋末仍能成为优势种,而当水温大于25℃时,拉氏拟柱孢藻、铜绿微囊藻和惠氏微囊藻具明显的生长优势.此外,较小的水深更利于拉氏拟柱孢藻的生长.建议在加强控制湖库氮磷营养盐输入的基础上,在夏初和秋末对湖泊假鱼腥藻进行重点监控,并在高温时期密切关注浅水区拉氏拟柱孢藻的生长情况,保障水质安全.     

Type 0092丝状菌污泥微膨胀在短程硝化中的实现

利用Type 0092丝状菌不易引发污泥恶性膨胀的特点,本实验采用实际生活污水,以SBR反应器接种短程硝化污泥,考察了短程硝化状态下启动Type 0092丝状菌污泥微膨胀的特性,研究了系统启动与维持期间的污泥沉降性能、亚硝酸盐积累率(NAR)、污染物去除特性以及污泥菌群结构变化情况.结果表明控制DO为0. 3～0. 8 mg·L~(-1),F/M(以COD/MLSS计)=0. 24 kg·(kg·d)~(-1),按照交替缺氧/好氧模式运行(单周期3次,缺氧∶好氧=20 min∶60 min),能够启动Type 0092丝状菌污泥微膨胀与短程硝化耦合,系统SVI值维持在180 m L·g~(-1)左右,NAR一直维持在99%左右,COD和TN去除率能够分别提高约13%和5%,相较于传统全程硝化非微膨胀状态曝气量能节省约62. 5%.当交替缺氧/好氧模式变为单周期交替6次,缺氧∶好氧=10 min∶30 min,亚硝酸盐氧化菌(NOB)的活性会恢复,使短程硝化被破坏;低溶解氧、交替缺氧/好氧、低负荷是实现Type 0092丝状菌污泥微膨胀的关键因素,当负荷(以COD/MLSS计)大于0. 25 kg·(kg·d)~(-1)时,仅靠低溶解氧和间歇曝气无法维持污泥微膨胀状态.     

A practical real option methodology for the evaluation of farm-in/out joint venture agreements in mineral exploration

Although the “real option valuation” (ROV) methodology offers extremely valuable insights in optimising investment decisions in the face of uncertainty, its practical acceptance in the mining industry has until recently been slow because of its perceived computational complexity. Recent conceptual advances in the use of binomial lattices and software developments in the areas of decision trees and dynamic programming, have significantly simplified ROV analysis and made it of practical application in day-to-day financial evaluations and decisions involving uncertainty. This paper provides general background on the ROV methodology and an example of how a typical farm-in/out agreement, as a preliminary to the establishment of a joint venture (JV), can be valued as a series of sequential and compound real options. For illustrative and quality assurance purposes, a simple farm-in/out agreement is valued from the point of view of the party acquiring equity in the project (the farm-inee) using two distinct methods, i.e. (a) a binomial lattice and (b) a decision tree in combination with binomial stochastic processes, in both cases neutralising risk using the user-friendly “risk-neutral probability”. The fact that exactly the same ROV is obtained by both methods provides confidence in the modified decision tree approach, which opens up the capacity to value the more complex sequential/compound real options inherent in real-life farm-in/out agreements. The model is then modified to incorporate a number of realistic contractual conditions often encountered in typical exploration and mining farm-in/out deals. The paper demonstrates how the increased complexity of the model can be relatively easily addressed using a decision tree with dynamic programming capability.     

卤代海因的危险特性实验研究

为评价卤代海因的危险特性,通过克南实验、时间压力实验以及固体氧化性实验分别对二氯海因、溴氯海因以及二溴海因的爆炸性和氧化性进行了测试,通过家兔皮肤刺激性/腐蚀性实验对三种卤代海因的刺激性进行了研究,并分别对三种卤代海因的危险性进行了对比分析。结果表明：二氯海因、溴氯海因以及二溴海因都具有氧化性、对家兔皮肤具有严重刺激性、在正常商业包件中可能达到的压力下点火会导致具有爆炸猛烈性的爆燃;溴氯海因以及二溴海因克南实验极限直径均小于1.0mm,在封闭条件下加热不显示效应,二氯海因的克南实验极限直径为2.0mm,在封闭空间加热显示某种效应。三种卤代海因的氧化性和对家兔皮肤的刺激性没有显著区别,但二氯海因较溴氯海因以及二溴海因在封闭空间加热显示的效应更强。     

Estimating Water Budgets and Vertical Leakages for Karst Lakes in North‐Central Florida (United States) Via Hydrological Modeling1

Lin, Zhulu, 2011. Estimating Water Budgets and Vertical Leakages for Karst Lakes in North‐Central Florida (United States) Via Hydrological Modeling. Journal of the American Water Resources Association (JAWRA) 1‐16. DOI: 10.1111/j.1752‐1688.2010.00513.x Abstract: Newnans, Lochloosa, and Orange Lakes are closely hydrologically connected karst lakes located in north‐central Florida, United States. The complex karst hydrology in this region poses a great challenge to the hydrological modeling that is essential to the development of Total Maximum Daily Loads for these lakes. We used a Hydrological Simulation Program – Fortran model coupled with the parallel Parameter ESTimation model calibration and uncertainty analysis software to estimate effectively the hydrological interactions between the lakes and the underlying upper Floridan aquifer and the water budgets for these three lakes. The net results of the lake‐groundwater interactions in Newnans and Orange Lakes are that both lakes recharge the underlying upper Floridan aquifer, with the recharge rate of the latter one magnitude greater than that of the former. However, for Lochloosa Lake, the net lake‐groundwater interaction is that the lake gains water from groundwater in a significant amount, approximately 40% of its total terrestrial water input. The annual average vertical leakages estimated for Newnans, Lochloosa, and Orange Lakes are 6.0 × 10⁶, ?8.9 × 10⁶, and 44.4 × 10⁶ m³, respectively. The average vertical hydraulic conductance (K_v/b) of the units between a lake bottom and the underlying upper Floridan aquifer in this region are also estimated to be from 1.26 × 10^?4 to 1.01 × 10^?3 day^?1.     

集中空调系统积尘理化特征

利用现场采样与实验分析的方法,对集中空调系统内的积尘进行了粒径分布、水溶性碳物质及离子含量的分析,以评估集中空调系统内积尘对微生物滋生的影响.结果表明,集中空调系统除新风段外的6个采样段,积尘平均粒径介于6—20μm之间,新风段积尘平均粒径为41.30μm;沿送风方向,微粒的平均粒径减小,单位积尘量所含的水溶性离子和有...     

Optimizing model for land use/land cover retrieval from remote sensing imagery based on variable precision rough sets

The suitable spectral mode in remote sensing is often desirable to facilitate the inversion of ecological environment and landscape. This paper put forward an optimizing model based on variable precision rough sets (VPRS) for the land cover discrimination in wetland inventory. In the case study of Lake Baiyangdian which has important ecological functions to the northern China, this model is established successfully according to the domain-experts knowledge. The procedure is as follows. First step is data collection, including remote-sensing data (e.g., Landsat-5 TM bands), the digitized relief maps, and statistical yearbooks. Second, the remote sensing imagery (RSI) and relief maps are co-registered into the same resolution. Third, a condition set, including various attributes is derived from spectral bands, band math or ratio indices based on previous studies, at the same time, the decision set is derived from true land types after investigation and validation. Then, the remote sensing decision table (RSDT) is constructed by linking condition set with decision set according to the sequential pixels in RSI. Fourth, we create one forward greedy searching algorithm based on VPRS to handle this RSDT. After adjusting parameters such as β and knowledge granularity diameter (KGD), we obtain the stable optimized results. Comparative experiments and evaluation show that the discrimination or retrieval accuracy of VPRS model is satisfying (overall accuracy: 87.32% and KHAT: 0.84) and better than original data. Moreover, data dimension has been decreased dramatically (from 12 to 3) and key attributes found by the model may be useful for specific retrieval in wetland inventories.     

A Multi‐Agency Nutrient Dataset Used to Estimate Loads,Improve Monitoring Design,and Calibrate Regional Nutrient SPARROW Models1

Saad, David A., Gregory E. Schwarz, Dale M. Robertson, and Nathaniel L. Booth, 2011. A Multi‐Agency Nutrient Dataset Used to Estimate Loads, Improve Monitoring Design, and Calibrate Regional Nutrient SPARROW Models. Journal of the American Water Resources Association (JAWRA) 47(5):933‐949. DOI: 10.1111/j.1752‐1688. 2011.00575.x Abstract: Stream‐loading information was compiled from federal, state, and local agencies, and selected universities as part of an effort to develop regional SPAtially Referenced Regressions On Watershed attributes (SPARROW) models to help describe the distribution, sources, and transport of nutrients in streams throughout much of the United States. After screening, 2,739 sites, sampled by 73 agencies, were identified as having suitable data for calculating long‐term mean annual nutrient loads required for SPARROW model calibration. These sites had a wide range in nutrient concentrations, loads, and yields, and environmental characteristics in their basins. An analysis of the accuracy in load estimates relative to site attributes indicated that accuracy in loads improve with increases in the number of observations, the proportion of uncensored data, and the variability in flow on observation days, whereas accuracy declines with increases in the root mean square error of the water‐quality model, the flow‐bias ratio, the number of days between samples, the variability in daily streamflow for the prediction period, and if the load estimate has been detrended. Based on compiled data, all areas of the country had recent declines in the number of sites with sufficient water‐quality data to compute accurate annual loads and support regional modeling analyses. These declines were caused by decreases in the number of sites being sampled and data not being entered in readily accessible databases.