Mitigating phytotoxicity of tetracycline by metal-free 8-hydroxyquinoline functionalized carbon nitride photocatalyst

Photooxidative removal of pharmaceuticals and organic dyes is an effective way to eliminate growing micropollutants. However, photooxidation often results in byproducts as secondary hazardous substances such as phytotoxins. Herein, we found that photooxidation of common antibiotic tetracycline hydrochloride (TCH) over a metal-free 8-hydroxyquinoline (8-HQ) functionalized carbon nitride (CN) photocatalyst significantly reduces the TCH phytotoxic effect. The phytotoxicity test of photocatalytic treated TCH-solution evaluated towards seed growth of Cicer arietinum plant model endowed natural root and shoot growth. This study highlights the conceptual insights in designing of metal-free photocatalyst for environmental remediation.     

基于Landsat8影像估算新安江水库光合有效辐射漫射衰减系数

光合有效辐射(photosynthetically active radiation,PAR)是指可以被植物利用并进行光合作用的那部分太阳辐射,其进入湖水后受光学组分(悬浮颗粒、有色可溶性有机物和浮游植物)的吸收和散射作用发生衰减,对湖泊生物的密度和分布具有重要影响.本研究构建了基于Landsat 8影像数据的较为清洁的新安江水库PAR漫衰减系数的遥感估算模型,进而分析其时空分布特征及主要影响因素.结果表明,利用Landsat 8的第二、三和第八波段构建的多元回归模型能够得到较为准确的估算结果,模型决定系数为0.87.利用独立样本对构建的模型验证,预测值和实测值相对误差绝对值均值为9.16%,均方根误差为0.06 m~(-1),由此可见利用Landsat 8数据的3个波段,采用多元回归模型能够较好地估算较清洁水体的PAR漫射衰减系数.基于14景Landsat 8影像发现,新安江水库PAR漫射衰减系数季节差异性明显,秋季(9~11月)和夏季(6~8月)PAR漫射衰减系数较高,分别为(0.82±0.60)m~(-1)和(0.77±0.41)m~(-1),而冬季(12~次年2月)和春季(3~5月)PAR漫射衰减系数相对较低,分别为(0.56±0.50)m~(-1)和(0.40±0.45)m~(-1).新安江水库PAR漫射衰减系数空间差异性显著,全湖PAR漫射衰减系数变化范围为(0.002~13.86)m~(-1),均值为(0.64±0.49)m~(-1).漫射衰减系数的季节变化主要是由季节性降雨和浮游植物季节性生长引起,空间差异性主要由外源河流输入和部分水域采砂过程导致悬浮物浓度变化引起.     

超声、过硫酸钾协同去除水中诺氟沙星的效果

过硫酸钾活化可产生强氧化性硫酸根自由基(SO-4·),采用超声/过硫酸钾体系氧化降解诺氟沙星,考察了过硫酸钾浓度、诺氟沙星初始浓度、溶液初始p H值及自由基淬灭剂甲醇、叔丁醇对降解效果的影响.结果表明,超声/过硫酸钾体系能够显著降解和矿化诺氟沙星,与单独过硫酸钾、超声相比,超声/过硫酸钾对诺氟沙星的去除率分别提高了3.2和8.9倍,降解过程符合一级反应动力学.诺氟沙星的去除率随过硫酸钾浓度的增加趋于平缓.p H对诺氟沙星的降解影响较大,这是因为随p H的升高,体系中的氧化性物种由SO-4·转化为以SO-4·/HO·为主.TOC去除和大肠杆菌抗菌实验表明,反应180 min,超声/过硫酸钾能够实现49.12%的诺氟沙星矿化,且对大肠杆菌的抑菌圈直径由45 mm减小到14 mm(滤纸直径),完全去除其抗菌性.结果表明超声/过硫酸钾能够有效用于诺氟沙星废水处理.     

贵州省典型矿区土壤重金属污染对蚯蚓的毒性效应评估

选取我国贵州省某矿区典型的重金属复合污染土壤开展28 d慢性毒性暴露试验,以蚯蚓体内2种抗氧化酶活性——过氧化氢酶(CAT)和超氧化物歧化酶(SOD)、8-羟基脱氧鸟苷(8-ODHG)和金属硫蛋白(MT)含量为生物指标,评估了以上生物指标与土壤重金属含量的相关性,探讨该研究方法用于矿区土壤重金属生态风险评估的可行性。结果表明,CAT和SOD在暴露周期内均出现先诱导后抑制的动态响应过程,表明蚯蚓通过提高CAT和SOD的活性来清除机体因污染胁迫而产生的自由基,以适应环境变化,在毒性缓解后,蚯蚓体内代谢产物的积累抑制了抗氧化氢酶活性,CAT和SOD活性下降并趋于稳定。暴露于重金属污染亚致死浓度时,蚯蚓体内的8-OHDG含量随着暴露时间的延长显著降低,随着暴露浓度的增加,损伤存在由低到高的转变。在28 d暴露周期内,蚯蚓体内MT在重金属胁迫下发挥了解毒作用,MT含量在蚯蚓暴露后第7天增加,随后逐渐降低。本文基于生物毒性试验综合评估了矿区典型重金属污染土壤的生态风险,研究结果对指导重金属复合污染土壤的修复与再利用具有重要意义。     

产絮菌H8絮凝条件的优化

在实验室条件下对产絮菌H8絮凝条件进行优化,得出所需最佳碳源为葡萄糖;最佳复合氮源为酵母菌+蛋白质;最佳生长环境PH为8;培养温度为10℃,培养时间为20h。最佳絮凝条件:高岭土PH为9.0;助凝剂为Ca2+,加入Ca Cl2的最佳浓度为0.04%,菌液投加量为2%,静沉时间5min。     

A Comparison of Spatial and Spectral Image Resolution for Mapping Invasive Plants in Coastal California

We explored the potential of detecting three target invasive species: iceplant (Carpobrotus edulis), jubata grass (Cortaderia jubata), and blue gum (Eucalyptus globulus) at Vandenberg Air Force Base, California. We compared the accuracy of mapping six communities (intact coastal scrub, iceplant invaded coastal scrub, iceplant invaded chaparral, jubata grass invaded chaparral, blue gum invaded chaparral, and intact chaparral) using four images with different combinations of spatial and spectral resolution: hyperspectral AVIRIS imagery (174 wavebands, 4 m spatial resolution), spatially degraded AVIRIS (174 bands, 30 m), spectrally degraded AVIRIS (6 bands, 4 m), and both spatially and spectrally degraded AVIRIS (6 bands, 30 m, i.e., simulated Landsat ETM data). Overall success rates for classifying the six classes was 75% (kappa 0.7) using full resolution AVIRIS, 58% (kappa 0.5) for the spatially degraded AVIRIS, 42% (kappa 0.3) for the spectrally degraded AVIRIS, and 37% (kappa 0.3) for the spatially and spectrally degraded AVIRIS. A true Landsat ETM image was also classified to illustrate that the results from the simulated ETM data were representative, which provided an accuracy of 50% (kappa 0.4). Mapping accuracies using different resolution images are evaluated in the context of community heterogeneity (species richness, diversity, and percent species cover). Findings illustrate that higher mapping accuracies are achieved with images possessing high spectral resolution, thus capturing information across the visible and reflected infrared solar spectrum. Understanding the tradeoffs in spectral and spatial resolution can assist land managers in deciding the most appropriate imagery with respect to target invasives and community characteristics.     

The relative contribution of visual and auditory cues to environmental perception

This study assesses the relative dominance of vision and hearing in judgments of environments, and examines whether the sound sensitivity of the judge alters relative sensory dominance. Six sets of four composite (auditory-plus-visual) videotaped environmental displays were created from unisensory visual and auditory components with known levels of evoked affect. These displays, in a 2 (high, low) × 2 (high, low) Pleasure and/or Arousal format, were presented to 70 participants. The results indicate that visual cues dominate auditory cues in judgments of Pleasure, but that the degree of dominance is highly variable. Arousal judgments were not consistently related to visual or auditory cues. Sound sensitivity does not appear to influence the relative dominance of vision.     

SCS URBAN CURVE NUMBERS FROM A LANDSAT DATA BASE1

Estimating the Curve Numbers used in the Soil Conservation Service hydrologic models is a tedious and costly task. Recent advances in remote sensing and data processing have led to the development of readily available land cover data bases for many areas of the United States. This study evaluated the potential of using a Landsat data base to make the Curve Number estimation process more cost-effective and less tedious. Ten watersheds in the Washington, D.C., area were evaluated using a Landsat land cover data base developed by the U.S. Geological Survey. Results showed that these data can be useful. Predictions can be improved if ancillary data on residential lot size are included. It was concluded that this type of data base must be examined carefully before implementation.     

The National Vegetation Classification Standard applied to the remote sensing classification of two semiarid environments

The National Vegetation Classification Standard (NVCS) was implemented at two US National Park Service (NPS) sites in Texas, the Padre Island National Seashore (PINS) and the Lake Meredith National Recreation Area (LMNRA), to provide information for NPS oil and gas management plans. Because NVCS landcover classifications did not exist for these two areas prior to this study, we created landcover classes, through intensive ground and aerial reconnaissance, that characterized the general landscape features and at the same time complied with NVCS guidelines. The created landcover classes were useful for the resource management and were conducive to classification with optical remote sensing systems, such as the Landsat Thematic Mapper (TM). In the LMNRA, topographic elevation data were added to the TM data to reduce confusion between cliff, high plains, and forest classes. Classification accuracies (kappa statistics) of 89.9% (0.89) and 88.2% (0.87) in PINS and LMNRA, respectively, verified that the two NPS landholdings were adequately mapped with TM data. Improved sensor systems with higher spectral and spatial resolutions will ultimately refine the broad classes defined in this classification; however, the landcover classifications created in this study have already provided valuable information for the management of both NPS lands. Habitat information provided by the classifications has aided in the placement of inventory and monitoring plots, has assisted oil and gas operators by providing information on sensitive habitats, and has allowed park managers to better use resources when fighting wildland fires and in protecting visitors and the infrastructure of NPS lands.