Characterizing scale- and location-dependent correlation of water retention parameters with soil physical properties using wavelet techniques

Understanding the correlation between soil hydraulic parameters and soil physical properties is a prerequisite for the prediction of soil hydraulic properties from soil physical properties. The objective of this study was to examine the scale- and location-dependent correlation between two water retention parameters (alpha and n) in the van Genuchten (1980) function and soil physical properties (sand content, bulk density [Bd], and organic carbon content) using wavelet techniques. Soil samples were collected from a transect from Fuxin, China. Soil water retention curves were measured, and the van Genuchten parameters were obtained through curve fitting. Wavelet coherency analysis was used to elucidate the location- and scale-dependent relationships between these parameters and soil physical properties. Results showed that the wavelet coherence between alpha and sand content was significantly different from red noise at small scales (8-20 m) and from a distance of 30 to 470 m. Their wavelet phase spectrum was predominantly out of phase, indicating negative correlation between these two variables. The strong negative correlation between alpha and Bd existed mainly at medium scales (30-80 m). However, parameter n had a strong positive correlation only with Bd at scales between 20 and 80 m. Neither of the two retention parameters had significant wavelet coherency with organic carbon content. These results suggested that location-dependent scale analyses are necessary to improve the performance for soil water retention characteristic predictions.     

An in-situ method of identifying ingredients of zeotropic refrigerants by inversion problem technique

An inversion method is applied to identify ingredients of zeotropic refrigerants in a circular duct. In the case of low Reynolds number and constant fluid pressure, the temperature distribution of direct heat transfer problem can be solved numerically. The thermophysical parameters of zeotropic refrigerants are determined by using inversion problem technique, the ingredients of refrigerants can be identified eventually. An in-situ experimental apparatus was proposed and three test samples with different composition refrigerants were conducted in this study. The experiment results show that the relative error of ingredients identification can be limited within 8.33%.     

Ecosystem-inspired model and artificial intelligence predicts pollutant consumption capacity by coagulation in drinking water treatment

Conventional methods for water and wastewater treatment are energy-intensive, notably at the stage of coagulation–flocculation, calling for new strategies to predict pollutant reduction because the amount of energy consumed is related to how much of the pollutant is treated. Here we developed a model, named Bio-logic, inspired by ecosystems, where pollutants represent organisms, coagulants are food, and the wider environmental conditions are the living environment. Artificial intelligence was used to learn the biological behavior, which enabled an accurate prediction of the amount of pollutant reduction. Results show that pseudo-biological objects that have a strong affinity for biological food, such as turbidity, total phosphorus, ammonia nitrogen and the potassium permanganate index, induced a strong correlation, between measured pollutant consumption capacity and predicted values. For instance, R² correlation coefficients are 0.97 for turbidity and 0.92 for the potassium permanganate index in the laboratory; and 0.99 for turbidity, 0.90 for total phosphorus, 0.75 for ammonia nitrogen and 0.63 for the potassium permanganate index in water treatment plants. Overall, our findings demonstrate that artificial intelligence can use the water Bio-logic model to predict the pollutant consumption capacity.

     

安全工程师人才培养模式的改革与实践

在国务院学位委员会与教育部把安全科学与工程学科上升为一级学科,国家大力开展"卓越工程师"人才培养,国家安全生产监督管理总局对安全技术的人才培养提升到了一个更高的高度背景下,对安全工程师的人才培养模式和实践教学体系以及教学方式、教学内容进行了改革和实践应用。系统设计了"安全工程师角色扮演"的培养模式,构建了以"设计制作为主线"的实践教学体系,并在安全工程专业中进行了实践,在提高学生的工程意识和实践创新能力、实现人才培养目标方面,取得一定成效。     

不同煤粒粒级配比下的煤与瓦斯突出实验研究

根据煤与瓦斯突出"综合假说"理论,煤的物理力学性质在突出过程中扮演着重要的角色。利用大型煤与瓦斯突出模拟试验台为工具,选用粒径为5-10目、10-40目、40-80目,以及5-10目和10-40目不同粒级配比下的煤粒,在相同实验参数条件下制作成突出煤样,并分别进行煤与瓦斯突出模拟实验。结果表明:煤层吸附瓦斯是放热过程,煤体温度会不断增加,突出过程则正好相反。煤体的破碎程度越大(粒径越小),突出危险性程度就越高、发生突出的强度就越大;但突出强度大并不一定表现为粉碎率高,原因在于煤的破碎程度越高,进一步破碎的难度就越大,要达到相同破碎率所需的能量就越大。     

旅游演艺品牌形象的结构化与非结构化研究——以张家界“魅力湘西”为例

以张家界"魅力湘西"为例,利用结构法与非结构法研究了游客对旅游演艺品牌形象的感知状况。结果表明:旅游演艺品牌形象感知的内在维度存在差异,宣传策略宜多元化;旅游演艺品牌形象感知以具体象征物为载体的文化形象为主;产品体验前以传播形象对旅游演艺品牌形象的影响显著,产品体验后的功能形象影响显著。     

Application of an integrated biomarker response index to assess ground water contamination in the vicinity of a rare earth mine tailings site

We utilized a multi-biomarker approach (Integrated Biomarker Response version 2, IBRv2) to investigate the scope and dispersion of groundwater contamination surrounding a rare earth mine tailings impoundment. Parameters of SD rat included in our IBRv2 analyses were glutathione levels, superoxide dismutase, catalase, and glutathione peroxidase activities, total anti-oxidative capacity, chromosome aberration, and micronucleus formation. The concentration of 20 pollutants including Cl^?, SO₄ ^2?, Na⁺, K⁺, Mg²⁺, Ca²⁺, TH, COD_Mn, As, Se, TDS, Be, Mn, Co, Ni, Cu, Zn, Mo, Cd, and Pb in the groundwater were also analyzed. The results of this study indicated that groundwater polluted by tailings impoundment leakage exhibited significant ecotoxicological effects. The selected biomarkers responded sensitively to groundwater pollution. Analyses showed a significant relationship between IBRv2 values and the Nemerow composite index. IBRv2 could serve as a sensitive ecotoxicological diagnosis method for assessing groundwater contamination in the vicinity of rare earth mine tailings. According to the trend of IBRv2 value and Nemerow composite index, the maximum diffusion distance of groundwater pollutants from rare earth mine tailings was approximately 5.7 km.

     

Modeling seasonal course of carbon fluxes and evapotranspiration in response to low temperature and moisture in a boreal Scots pine ecosystem

Environmental conditions act above and below ground, and regulate carbon fluxes and evapotranspiration. The productivity of boreal forest ecosystems is strongly governed by low temperature and moisture conditions, but the understanding of various feedbacks between vegetation and environmental conditions is still unclear. In order to quantify the seasonal responses of vegetation to environmental factors, the seasonality of carbon and heat fluxes and the corresponding responses for temperature and moisture in air and soil were simulated by merging a process-based model (CoupModel) with detailed measurements representing various components of a forest ecosystem in Hyytiälä, southern Finland. The uncertainties in parameters, model assumptions, and measurements were identified by generalized likelihood uncertainty estimation (GLUE). Seasonal and diurnal courses of sensible and latent heat fluxes and net ecosystem exchange (NEE) of CO₂ were successfully simulated for two contrasting years. Moreover, systematic increases in efficiency of photosynthesis, water uptake, and decomposition occurred from spring to summer, demonstrating the strong coupling between processes. Evapotranspiration and NEE flux both showed a strong response to soil temperature conditions via different direct and indirect ecosystem mechanisms. The rate of photosynthesis was strongly correlated with the corresponding water uptake response and the light use efficiency. With the present data and model assumptions, it was not possible to precisely distinguish the various regulating ecosystem mechanisms. Our approach proved robust for modeling the seasonal course of carbon fluxes and evapotranspiration by combining different independent measurements. It will be highly interesting to continue using long-term series data and to make additional tests of optional stomatal conductance models in order to improve our understanding of the boreal forest ecosystem in response to climate variability and environmental conditions.     

农牧交错带农业旱灾适应模式与区域可持续发展——以内蒙古兴和县为例

农业旱灾是全球关注的焦点问题之一,同时也是影响我国农业生产最严重的自然灾害之一。中国北方农牧交错带由于处在季风的尾闾区,降水极不稳定,旱灾频繁发生。以内蒙古兴和县为例,在实地考察、统计数据分析和农民访谈等基础上,从调整种植结构、增加非农经营收入、农牧交错的生产方式、生态建设以及设施农业五个方面,对农牧交错带的农业旱灾适应措施进行了深入剖析。研究表明,农牧交错带农业旱灾适应模式包括:"因地制宜"的空间适应模式、"减轻风险"的时间适应模式和"风险共担"的社会适应模式三个方面,研究成果可为区域防范旱灾风险、制定防灾减灾对策、实现区域可持续发展提供借鉴。     

塔里木油田三甘醇脱水装置参数优化研究

文章通过三甘醇脱水工艺的第三套三甘醇注醇量调整,第三套再生温度的调节、汽提气注入量调整、贫液进塔温度调整运行参数的优化,得出:当三甘醇脱水工艺循环量在3840kg/h左右时,再生效果最好,贫液浓度最高,所获得的干气水露点最低;三甘醇脱水工艺再生温度在190～200℃之间温度越高,再生效果越好;三甘醇脱水工艺再生装置在汽提气量30Nm3/h左右时,再生效果最好,贫液浓度最高,所获得的干气水露点最低。