Use of Predictive Weather Uncertainties in an Irrigation Scheduling Tool Part II: An Application of Metrics and Adjoints

We apply predictive weather metrics and land model sensitivities to improve the Colorado State University Water Irrigation Scheduler for Efficient Application (WISE). WISE is an irrigation decision aid that integrates environmental and user information for optimizing water use. Rainfall forecasts and verification performance metrics are used to estimate predictive rainfall probabilities that are used as input data within the irrigation decision aid. These input data errors are also used within a land model sensitivity study to diagnose important prognostic water movement behaviors for irrigation tool development purposes simultaneously performing the analysis in space and time. Thus, important questions such as “how long can a crop water application be delayed while maintaining crop yield production?” are addressed by evaluating crop growth stage interactions as a function of soil depth (i.e., space), rainfall events (i.e., time), and their probabilistic uncertainties. Editor’s note : This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series.     

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。     

环境检测机构人员培训工作探讨

环境检测人员培训在整个生态文明建设中发挥着至关重要的作用,本文从培训计划、培训内容、培训方式、有效评价和记录归档五个方面探讨了环境检测机构人员培训工作流程,以确保机构行之有效地开展人员培训。     

土壤污染风险规制中的行政裁量研究

我国土壤污染风险规制在专家遴选标准、建设用地和农用地污染风险管控要求,以及风险管控措施等方面存在不同程度的行政裁量。社会理性和科学理性的缺失形成了土壤污染风险行政裁量困局。土壤污染信息制度中“适时公开”的规定使得公众缺乏必要污染信息,弱化其参与程度,导致对行政决定合法性的质疑。此外,土壤污染风险管控标准中专家遴选标准和论证规则的欠缺导致土壤污染风险规制科学理性的缺失。为此,需要建构关照事实和规范的协商式行政裁量模式,强调公众的实质性参与以弥合技术理性和公众理性的鸿沟。同时,在程序上确定专家遴选标准和风险管控标准的论证规则以保证土壤污染风险管控的科学性和客观性。在不妨碍行政裁量权灵活性和能动性的前提下,规范行政裁量权的行使,控制行政裁量权的滥用。     

原子吸收法测定土壤中铅的方法

通过湿法消解土壤样品,利用石墨炉原子吸收分光光度法(GAAS)和火焰原子吸收分光光度法(FAAS)测定不同土壤样品中铅的含量,以验证2种方法的有效性并加以对比。实验结果表明:2种方法均满足土壤中铅含量的测定要求,测定的标准土样含量均在标准值的不确定度范围内,GAAS方法测定结果更接近保证值。二者的相对标准偏差(RSD)值均低于1.5%,FAAS方法的精密度更高,且具有快速简单等优势。     

酸性土壤条件下纳米氧化锌长期暴露对蕹菜生长和叶绿素荧光参数的影响

为了探明酸性土壤条件下纳米氧化锌（nano-ZnO）长期暴露对蕹菜的生理生态效应,通过盆栽实验,设置7个浓度系列的nano-ZnO,70 d后测定相对叶绿素含量、生长参数和叶绿素荧光参数。结果显示,随nano-ZnO浓度升高,蕹菜相对叶绿素含量和生长参数先缓慢增加后显著下降。nano-ZnO对蕹菜生物量在根部和冠部间的分配无显著影响。相对叶绿素含量与nano-ZnO浓度呈显著负相关（r=-0.879,p<0.001）。在nano-ZnO质量比为160 mg/kg时,光合有效辐射190μmol/(m²·s)诱导的激发能过剩,但过剩激发能可通过热耗散保护机制消耗,以避免发生光损伤。酸性土壤条件下,弱光诱导的蕹菜叶绿素荧光参数对nano-ZnO长期暴露不敏感,但蕹菜的生物量累积易受nano-ZnO长期暴露的影响。     

超高效液相色谱法测定土壤中微量阿特拉津

采用超高效液相色谱仪,建立了土壤中微量阿特拉津的快速检测方法.研究结果表明:采用反相C18色谱柱,以甲醇/水(70:30,v/v)为流动相,流速为0.2 ml/min,柱温为30℃,检测波长为220 nm条件下,在12.5～1000μg/L质量浓度范围内线性关系良好(r=0.9999),检出限0.18×10-3 mg/...     

An Experimental Methodology for Monitoring Contaminant Transport Through Geotechnical Centrifuge Models

In this paper, an attempt has been made to highlight an experimental methodology for monitoring contaminant transport through locally available silty soil and commercially available clay in geotechnical centrifuge models, for different compaction states. Use of multiple depth sensors to determine depth distribution of sodium chloride in the soil column has been detailed. The obtained results have been compared with argentometric method. To validate the centrifuge modelling, modelling of models has been used. The test setup developed can simulate contaminant transport mechanisms through the soil mass, which is approximately 10 m deep, over a period of 600 days. R _e and P _e are found to be N times higher in the centrifuge models. These numbers are found to be several orders less than unity. This indicates that laminar flow prevails and the dominating Cl⁻ transport mechanism in centrifuge is diffusion. The study also highlights the fact that the geotechnical centrifuge modelling can be used as a viable alternative to field scale experimentation.     

Using Ion-Exchange Resins to Study Soil Response to Experimental Watershed Acidification

Ion-exchange resins (IER) offer alternative approaches to measuring ionic movement in soils that may have advantages over traditional approaches in some settings, but more information is needed to understand how IER compare with traditional methods of measurement in forested ecosystems. At the Bear Brook Watershed in Maine (BBWM), one of two paired, forested watersheds is treated bi-monthly with S and N (28.8 and 25.2kgha⁻¹yr⁻¹ of S and N, respectively). Both IER and ceramic cup tension lysimeters were used to study soil solution responses after ∼11 years of treatment. Results from both methods showed treatments resulted in the mobilization of base cations and Al, and higher SO₄—S and inorganic N in the treated watershed. Both methods indicated similar differences in results associated with forest type (hardwoods versus softwoods), a result of differences in litter quality and atmospheric aerosol interception capacity. The correlation between lysimeter and IER data for individual analytes varied greatly. Significant correlations were evident for Na (r=0.75), Al (r=0.65), Mn (r=0.61), Fe (r=0.57), Ca (r=0.49), K (r=0.41) and NO₃—N (r=0.59). No correlation was evident between IER and soil solution data for NH₄—N and Pb. Both IER and soil solution techniques suggested similar interpretations of biogeochemical behavior in the watershed.     

Fractionation and Sequential Extraction of Heavy Metals in the Soil of Scrapyard of Discarded Vehicles

Chemical and physical size fractionation of heavy metals were carried out on 20 soil samples from the scrap yard area. Tessier method was used in sequential extraction. Cadmium showed the highest levels among the other elements studied in the exchangeable fraction (about 33%), while other elements showed low levels in this fraction (≥1%). Lead and manganese were mostly found in the Fe–Mn oxide fraction, zinc and iron were mostly in residual fraction, while copper was mostly found in the organic fraction of the soil. Soil samples were size-fractionated into four sizes: 1000–500, 500–125, 125–53, and less than 53 μm. The highest levels of Fe, Cu, Pb, Mn, and Cd were found in the medium fraction (500–125 μm), while zinc showed its highest levels in the fine fraction (125–53 μm). The order of heavy metal load in the size fractions was found to be medium > fine > coarse > silt for Fe, Mn, Cu, Pb, and Cd, where it was found as fine > medium > coarse > silt for zinc.