不同有机肥中磷在土壤剖面中累积迁移特征与有效性差异

为明确连续施用不同有机肥后土壤剖面中磷的分布规律和迁移特征,探讨不同有机肥磷投入下农田磷负荷.通过4 a连续田间定位试验,定量化研究连续施用不同有机肥后土壤剖面中磷的累积迁移特征与有效性差异.结果表明:(1)连续4 a施用不同有机肥后,肥料中磷主要积累在0~15 cm表层土壤,土壤全磷、速效磷含量均随土壤深度增加逐渐降低;连续4 a施用高量有机肥后,其带入的磷可明显迁移到15~30 cm土层,施用高量猪粪速效磷可迁移到60~90 cm土层.(2)连续4 a施用不同有机肥后,土壤表层中速效磷占全磷比例增加,且高用量与低用量之间差异显著.土壤剖面中速效磷占全磷比例的大小顺序为:猪粪处理鸡粪处理污泥处理磷肥处理.(3)施用鸡粪、猪粪、污泥和磷肥后土壤表层中速效磷含量随磷投入量增加呈先增加后平缓的规律.(4)本试验条件下,不同有机肥相同磷投入下对表层土壤速效磷贡献存在较大差异,表现为:猪粪鸡粪污泥.猪粪带入磷的生物有效性和移动性明显高于鸡粪、污泥和磷肥.     

中国主要背景区域冬季大气PM2.5中非极性有机化合物组成及来源解析

本研究于2019年12月至2020年1月在5个区域大气本底站：临安、金沙、龙凤山、上甸子和瓦里关,同步采集了PM_2.5样品,分析了其中的非极性有机物：多环芳烃、正构烷烃和藿烷类化合物。结果表明,上甸子和龙凤山的多环芳烃平均浓度显著高于其他站点,分别为35.2±25.6 ng/m³和27.5±16.8 ng/m³;藿烷类物质的浓度在上甸子和临安出现高值,分别为2.72±1.78 ng/m³和2.47±0.990 ng/m³;正构烷烃浓度以临安最高,为86.7±40.6 ng/m³。对各站点多环芳烃和藿烷类化合物采用比值法,正构烷烃采用主峰碳数（C_max）、碳优势指数（carbon preference index,CPI）和植物蜡贡献率（% Wax C_n）,结合主成分分析-多元线性回归模型（PCA/MLR）综合进行源解析。结果显示采样期间除瓦里关外,其余站点燃烧源均以化石燃料源为主,贡献率分别为临安（94.9%） > 金沙（75.3%） > 龙凤山（74.7%） > 上甸子（62.5%） > 瓦里关（35.6%）。后向轨迹聚类分析（HYSPLIT）和潜在源贡献因子分析法（PSCF）表明各站点主要受到外来传输气团的影响,并查明了各站点的潜在污染源区。对背景站点的研究表明,东北地区和京津冀地区PM_2.5中非极性有机物来源相似,京津冀地区的生物质燃烧源贡献率高于东北地区;长江中下游地区化石燃料贡献率显著高于生物质燃烧;华中地区燃煤和交通排放源排放贡献率均低于长江三角洲地区;青藏高原地区生物质燃烧贡献率远高于其他地区。     

等高植物篱模式下土壤物理性质变化与水土保持效果研究

等高植物篱模式就是在坡耕地上每隔4～8m的距离沿等高线将植物篱与作物种植带相间分布的一种农林复合经营模式，用于坡耕地的水土保持。已有的研究结果表明，等高植物篱技术用于坡耕地可有效地改善土壤物理性质和土壤水分状况，防治坡耕地水土流失效果显著。土壤水分的季节性再分配也有利于农作物的生长。但是该系统内植物篱和农作物相互之间的水分和养分关系有待深入研究。     

矿井乏风逆流氧化反应的数值模拟

在理论分析和合理简化的基础上,建立了矿井乏风逆流氧化的一维数学模型。并采用计算流体力学(CFD)软件(Fluent)模拟了其逆流氧化反应过程,探讨了主要工况参数(如流速、当量比和半周期)对逆流氧化反应温度和反应速率的影响。模拟了半周期为30s、当量比为0.2、流速分别为0.06,0.1和0.2 m/s时温度场和反应速率的分布情况。总结出有关逆流氧化反应装置的燃烧特性以及工况参数对其燃烧特性影响的规律,对提高其燃烧效率和能源的利用率有重要作用。     

Mass spectral chemical fingerprints reveal the molecular dependence of exhaust particulate matters on engine speeds

Particulate matters(PMs) emitted by automobile exhaust contribute to a significant fraction of the global PMs. Extractive atmospheric pressure chemical ionization mass spectrometry(EAPCI-MS) was developed to explore the molecular dependence of PMs collected from exhaust gases produced at different vehicle engine speeds. The mass spectral fingerprints of the organic compounds embedded in differentially sized PMs(e.g., 0.22–0.45, 0.45–1.00, 1.00–2.00, 2.00–3.00, 3.00–5.00, and 5.00–10.00 μm) generated at different engine speeds(e.g., 1000, 1500, 2000, 2500, and 3000 r/min) were chemically profiled in the mass range of mass to charge ratio(m/z) 50–800. Organic compounds,including alcohols, aldehydes, and esters, were detected in all the PMs tested, with varied concentration levels for each individual PM sample. At relatively low engine speeds(≤ 1500 r/min), the total amount of organic species embedded in PMs of 0.22–1.00 μm was greater than in PMs of other sizes, while more organic species were found in PMs of5.00–10.00 μm at high engine speeds(≥ 3000 r/min), indicating that the organic compounds distributed in different sizes of PMs strongly correlated with the engine speed. The experimental data showed that the EAPCI-MS technique enables molecular characterization of PMs in exhaust, revealing the chemical dependence of PMs on the engine speeds(i.e., the combustion conditions) of automobiles.     

基于发光细菌的细颗粒物(PM_(2.5))可溶性提取液综合生物效应测试方法及其应用

为科学评估PM_(2.5)对生物体综合生物效应,研究建立了利用费氏弧菌检测PM_(2.5)水溶性提取液的毒性测试方法,确立了PM_(2.5)样品提取液发光细菌毒性测试实验质量控制办法。对春节烟花爆竹燃放和沙尘污染过程的PM_(2.5)实样测试表明:烟花爆竹燃放期间的PM_(2.5)样品提取液发光抑制率值与微量金属元素等有毒有害组分浓度显著相关;沙尘污染期间的PM_(2.5)样本提取液中地壳元素浓度和发光抑制率值显著不相关。     

The urban growth, size distribution and spatio-temporal dynamic pattern of the Yangtze River Delta megalopolitan region, China

As one of the six megalopolitan regions in the world, the Yangtze River Delta is one of the most populated and developed regions of China. The spatial and temporal dynamic pattern of the urbanization process of the megalopolitan region is investigated. This work compared the spatial and temporal dynamic pattern of the urban growth for the five urban areas (Shanghai, Nanjing, Suzhou, Wuxi and Changzhou) in this region. During the 15 years, urban growth patterns were dramatically uneven over three 5-year periods. The size distribution of the five urban areas became more even with the rapid urbanization process. The patterns of urban expansion reflected policy adjustment and economic development throughout the time. Landscape metric analysis across concentric buffer zones was conducted to elucidate the area, shape, size, complexity and configuration of urban expansion. The study indicates the coalescence process occurred during the rapid urban growth from 1990 to 1995 and the moderate growth period from 2000 to 2005, but different urban growth period between 1995 and 2000. The urban growth pattern was coalesced for the Nanjing and Wuxi metropolitan areas and diffused for Shanghai, Suzhou and Changzhou. This approach indicates that the coalescence process was the major growth model for this region in the recent 15 years despite their different size, economic growth and population growth. The diffusion-coalesce dichotomy represent endpoints rather than alternate states of urban growth. This work will be beneficial in understanding the size distribution and urbanization process of the megalopolitan region in China.     

Simulating spatiotemporal dynamics of urbanization with multi-agent systems—A case study of the Phoenix metropolitan region, USA

Urbanization is a human-dominated process and has greatly impacted biodiversity, ecosystem processes, and regional climate. To understand the socioeconomic drivers of urbanization and project future urban landscape changes, multi-agent systems provide a powerful tool. We develop an agent-based model of urban growth for the Phoenix metropolitan region of the United States, which simulates the behavior of regional authorities, real estate developers, residents, and environmentalists. The BDI (Beliefs-Desires-Intentions) structure is employed to simulate the agents behavior and decision models. The heterogeneity of agents is reflected by adjusting parameters according to the agents’ beliefs, desires and preferences. Three scenarios, baseline, economic development priority and environmental protection, are developed and analyzed. The combination of multi-agent system and spatial regression model is employed to predict the future urban development of the Phoenix metropolitan region. Landscape metrics are used to compare the spatial patterns of the urban landscape resulting from different scenarios in different times. In general, with the rapid urban expansion, the shape of urban patches will become more regular as many of them become coalesced. The spatial analysis of urban development through modeling individual and group decisions and human-environment interactions with a multi-agent systems approach can enhance our understanding of the socioeconomic driving forces and mechanisms of urban development.     

Combined effect of iron and zinc on micronutrient levels in wheat (Triticum aestivum L.)

A nutrient solution experiment was conducted to investigate the effect of Fe and Zn supply on Fe, Zn, Cu, and Mn concentrations in wheat plants. The experiment used a factorial combination of two Fe levels (0 and 5 mg l(-1)) and three Zn levels (0, 0.1 and 10 mg I(-1)). The supply of Fe (5 mg l(-1)) and Zn (0.1 mg l(-1)) increased plant dry weight and leaf chlorophyll content compared to the Fe or Zn deficient (0 mg 11) treatments. However, excess Zn supply (10 mg l(-1)) reduced plant dry weights and leaf chlorophyll content. Iron supply (5 mg l(-1)) reduced wheat Zn concentrations by 49%, Cu concentrations by 34%, and Mn by 56% respectively. Zinc supply (10 mg l(-1)) reduced wheat Fe concentrations by an average of 8%, but had no significant effect on Cu and Mn concentrations. Stepwise regression analyses indicated that Zn, Cu, and Mn concentrations were negatively correlated with root- and leaf-Fe concentrations, but positively correlated with stem-Fe concentrations. Leaf-Mn concentrations were negatively correlated with root-, stem- and leaf-Zn concentrations.     

Invasive species change detection using artificial neural networks and CASI hyperspectral imagery

For monitoring and controlling the extent and intensity of an invasive species, a direct multi-date image classification method was applied in invasive species (salt cedar) change detection in the study area of Lovelock, Nevada. With multidate Compact Airborne Spectrographic Imager (CASI) hyperspectral data sets, two types of hyperspectral CASI input data and two classifiers have been examined and compared for mapping and monitoring the salt cedar change. The two types of input data are all two-date original CASI bands and 12 principal component images (PCs) derived from the two-date CASI images. The two classifiers are an artificial neural network (ANN) and linear discriminant analysis (LDA). The experimental results indicate that (1) the direct multitemporal image classification method applied in land cover change detection is feasible either with original CASI bands or PCs, but a better accuracy was obtained from the CASI PCA transformed data; (2) with the same inputs of 12 PCs, the ANN outperforms the LDA due to the ANN’s non-linear property and ability of handling data without a prerequisite of a certain distribution of the analysis data.