Determination of Frequency for Remeasuring Ground and Vegetation Cover Factor Needed for Soil Erosion Modeling

Determining a remeasurement frequency of variables over time is required in monitoring environmental systems. This article demonstrates methods based on regression modeling and spatio-temporal variability to determine the time interval to remeasure the ground and vegetation cover factor on permanent plots for monitoring a soil erosion system. The spatio-temporal variability methods include use of historical data to predict semivariograms, modeling average temporal variability, and temporal interpolation by two-step kriging. The results show that for the cover factor, the relative errors of the prediction increase with an increased length of time interval between remeasurements when using the regression and semivariogram models. Given precision or accuracy requirements, appropriate time intervals can be determined. However, the remeasurement frequency also varies depending on the prediction interval time. As an alternative method, the range parameter of a semivariogram model can be used to quantify average temporal variability that approximates the maximum time interval between remeasurements. This method is simpler than regression and semivariogram modeling, but it requires a long-term dataset based on permanent plots. In addition, the temporal interpolation by two-step kriging is also used to determine the time interval. This method is applicable when remeasurements in time are not sufficient. If spatial and temporal remeasurements are sufficient, it can be expanded and applied to design spatial and temporal sampling simultaneously.     

Effect of Cadmium on Microbial Activity and a Ryegrass Crop in Two Semiarid Soils

Soil pollution with Cd is an environmental problem common in the world, and it is necessary to establish what Cd concentrations in soil could be dangerous to its fertility from toxicity effects and the risk of transference of this element to plants and other organisms of the food chain. In this study, we assessed Cd toxicity on soil microorganisms and plants in two semiarid soils (uncultivated and cultivated). Soil ATP content, dehydrogenase activity, and plant growth were measured in the two soils spiked with concentrations ranging from 3 to 8000 mg Cd/kg soil and incubated for 3 h, 20 days, and 60 days. The Cd concentrations that produced 5%; 10%;, and 50%; inhibition of each of the two soil microbiological parameter studied (ecological dose, ED, values) were calculated using two different mathematical models. Also, the effect of Cd concentration on plant growth of ryegrass (Lolium perenne, L.) was studied in the two soils. The Cd ED values calculated for soil dehydrogenase activity and ATP content were higher in the agricultural soils than in the bare soil. For ATP inhibition, higher ED values were calculated than for dehydrogenase activity inhibition. The average yields of ryegrass were reduced from 5.03 to 3.56 g in abandoned soil and from 4.21 to 1.15 g in agricultural soil with increasing concentrations of Cd in the soil. Plant growth was totally inhibited in abandoned and agricultural soils at Cd concentrations above 2000 and 5000 mg/kg soil, respectively. There was a positive correlation between the concentration of Cd in the plants and the total or DTPA-extractable concentrations of Cd in the soil.     

流动注射-氢化物发生-原子荧光光谱法测定土壤中铅

采用流动注射-氢化物发生-原子荧光光谱法测定土壤中的铅,工作曲线线性关系良好,检出限为0.25 mg/kg,相对标准偏差＜3.5%,加标回收率为93.0%～105%.该方法简便快速,测定结果准确可靠.     

植物修复--大面积低剂量放射性污染的新治理技术

放射性污染是当今难以治理的环境污染问题,对于大面积低剂量的放射性污染,植物修复是种较适用的新型治理技术.系统阐述了植物修复技术的概念与内容,对放射性污染植物修复技术研究现状与进展、植物修复的优缺点进行了重点评述,并对这技术在未来放射性污染治理中的应用与研究提出了建议.     

土壤渗滤处理系统运行控制的模拟研究

通过建立地下水数学模型,回答了土壤渗滤工程运行控制中的两个难点问题:(1)工程运行水力负荷.当工程地块周边存在河流时,河流水位低时,有助于增加水力负荷,反之则降低水力负荷;实际土壤运行面积的增加和独立运行单元之间的间距增加也能够增加工程运行水力负荷.(2)地下水水质监测井的优化布设.模拟工程运行后地下水水质空间分布特征,在地下水水质最不利的位置和其他特别关注的位置布置监测井,从而能够以具有典型代表性且数目较少的监测井达到准确评估工程对地下水水质影响的目的.     

污染农田土壤修复产业发展面临的问题及建议

随着经济的发展,我国的农业建设也迎来了新的发展机遇,但是目前我国的农业发展过程中存在着严重的土壤污染问题,污染农田土壤修复的问题有待解决。本文围绕污染农田土壤修复这一问题展开研究,望有所助益。     

污染影响型土壤环境影响评价过程中预测和评价方法

随着国民经济的持续发展,建设项目开发过程中可能造成土壤本身或与之相关的环境要素之间在物质、能量转移循环过程中受到不同程度的影响。以《环境影响评价技术导则土壤环境》(HJ 964-2018)为依据,对污染型土壤环境进行环境影响评价,为建设项目土壤环境保护提供科学依据。     

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。     

探究土壤中萘提取液的浓缩方法比较

随着科学技术的发展,工业产品越来越丰富。工业工艺过程、缺氧燃烧、垃圾焚烧和填埋等生产活动,产生了大量的多环芳烃物质。这些物质通过复杂的物理迁移、化学及生物转化反应,进入土壤,严重污染环境,给人类及其生物的安全带来严重危害。如何快速、准确检测土壤中多环芳烃的含量,成为治理污染等相应策略实施的首要条件。当前测定土壤中多环芳烃的前处理方法有加压流体萃取、索式萃取、超声波萃取、微波萃取等。在这些成熟萃取手段中,浓缩又是一个关键步骤。目前浓缩的手段有KD浓缩、氮吹浓缩、旋转蒸发浓缩、旋转与氮吹合用浓缩。本文对四种浓缩手段对多环芳烃中的萘提取液进行浓缩分析比较,并获得了一定结论,望给行业内提供有效的参考意见。     

农田重金属污染修复新技术展望与探索

目前,土壤重金属污染已成为全球各国共同面临的棘手问题。土壤重金属污染具有隐蔽性、滞后性、积累性、持久性等特点,已严重危害到人类的健康。本文在全面了解国内外重金属污染土壤修复研究动态的基础上,对纳米多孔磁性螯合材料用于农田重金属污染土壤修复的新技术进行展望与探索研究,为国内这一领域的工作开展提供借鉴参考。