Assessment of Soil Erodibility Indices for Conservation Reserve Program Lands in Southwestern Kansas Using Satellite Imagery and GIS Techniques

The soil erodibility index (EI) of Conservation Reserve Program (CRP) lands, which was the major criterion for CRP enrollment, was assessed for six counties in southwestern Kansas using USGS seamless digital elevation model data and Geographical Informational System techniques. The proportion of land areas with EI values of 8 or lower was less than 1% of the entire study area and most of the land areas (72.5%) were concentrated on EI values between 8 and 24. Although land acreage with EI values of 24 or higher decreased dramatically, the proportion of CRP lands to the other land-use types did not change much from low to high EI levels. The soil EI and physical soil characteristics of the CRP lands were compared to those of other land-use types. In general, the mean EI values of the land-use types were strongly correlated with physical soil properties, including organic matter content, clay content, available water capacity, permeability, and texture. CRP lands were compared in detail with cropland in terms of their soil characteristics to infer the pivotal cause of the land transformation. Although there was no significant statistical difference in EI between cropland and CRP soils, soil texture, soil family, and permeability were statistically different between the two. Statistical analyses of these three variables showed that CRP soils had coarser texture and higher permeability on average than cropland soils, indicating that CRP lands in the study area are drier than cropland soils. Therefore, soil moisture characteristics, not necessarily soil erosion potential, might have been the key factor for CRP enrollment in the study area.     

庐山不同森林植被类型土壤碳库管理指数评价

土壤碳库管理指数(CPMI)是表征土壤碳库变化的一个重要量化指标,能够反映土壤的碳库变化和碳库质量。选取庐山8种森林植被类型土壤为研究对象,对其土壤有机碳库特征及碳库管理指数进行系统研究。结论表明:(1)土壤有机碳(SOC)主要分布于0~20 cm土层中,随着土层深度增加,不同森林植被类型下SOC含量急剧下降;在0~60 cm土层中,不同森林植被类型下SOC含量的平均值排序为:马尾松林常绿阔叶林灌丛针阔混交林常绿-落叶混交林黄山松林落叶阔叶林竹林。(2)不同森林植被类型下活性有机碳(ASOC)含量为0.24~0.57 g·kg–1,总有机碳(TOC)含量为9.72~14.74 g·kg–1,土壤碳库指数(CPI)为1.63~2.48,碳库活度(A)为0.019~0.062,碳库活度指数(AI)为0.388~1.265。不同森林植被类型下ASOC含量排序:落叶阔叶林黄山松林常绿-落叶阔叶混交林灌丛针阔混交林常绿阔叶林竹林马尾松林;不同森林植被类型下ASOC/TOC(%)排序:落叶阔叶林黄山松林常绿-落叶阔叶混交林竹林灌丛针阔混交林常绿阔叶林马尾松林;不同森林植被类型下CPMI排序为:落叶阔叶林黄山松林常绿-落叶阔叶混交林灌丛针阔混交林常绿阔叶林竹林马尾松林。     

A study on genotoxicity of textile dyeing industry effluents from Rajshahi,Bangladesh, by the Allium cepa test

Textile dye effluents are believed to be toxic as they might exert various harmful effects on living organisms including genotoxicity. These effluents are the main source of direct and continuous input of pollutants into the aquatic ecosystems. In this study, dye effluents from a local silk dyeing industry were analysed for their genotoxic potential by the Allium cepa genotoxicity test. The A. cepa test is characterised as a genotoxicity test where the roots of A. cepa are grown in different concentrations of the test material. The macroscopic results clearly showed that the toxicity of the dye effluents prompted A. cepa root growth inhibition, and this effect increased with higher concentrations of the effluents. At the cellular level, no dividing cells were found at higher concentrations such as 60%, 80% and 100% of the effluents. However, at a lower concentration of 20%, dividing cells were identified, although the mitotic index was much lower than that of the control. Microscopic analysis showed that the dye effluents induced chromosomal aberrations at significant levels. Taken together, these results revealed that the textile dyeing industry effluents are toxic to eukaryotic cells and these dyes have genotoxic properties that can potentially lead to cancer development and adverse health conditions.     

成都地区污染天气分型及其污染气象特征研究

污染天气分型研究对空气质量预报、污染源总量控制等具有重要的意义。基于2013年1月~2014年12月高空及地面天气形势划分了成都市的天气类型并探讨各天气类型下的空气质量状况及其污染天气特征,以期为空气质量预报和预警提供依据。结果表明,空气污染过程中,500 hpa环流形势主要有两槽一脊型、一槽一脊型、纬向型、槽脊同位相型等,其中两槽一脊型和槽脊同位相型控制下的空气质量最差。发生空气污染时,地面环流形势可分为高压型、高压后部型、高压底部型、低压型、低压顶部型、低压前部型、低压底部型、鞍型场型、冷锋前部型和均压场型,其中高压型、高压底部型、高压后部型控制下的空气质量最差。     

基于高频AQI数据的关中城市群空气污染规律探索

基于高频分时AQI及各污染物浓度数据,本文使用"AQI小时指数"、首要污染物等进行统计分析并建立VAR模型对关中城市群空气污染的总体情况、日内波动规律以及城市间空气污染的关联规律做了不同层次的挖掘。研究结果表明:(1)关中城市群的空气质量整体较差,春、冬季空气污染程度明显大于夏季,空气污染的"季节效应"和"集簇性"明显,且主要表现为颗粒物污染。(2)空气质量的日内波动规律在春、冬两季表现为下半天优于上半天,夏季夜间优于白天。但在不考虑四季AQI小时指数图"相位"差异的情况下,四季空气污染的日内波动呈现出明显的相似性。(3)各城市空气污染存在明显的关联规律。城市群内一个城市空气污染的恶化会加剧其他城市的空气污染,并且对其他城市空气污染的影响峰值会在24小时之内出现,且该影响会随着空间和时间尺度的增大而逐步衰减。     

基于安徽省土地利用变化的地形梯度效应分析

为揭示地形因素与土地利用空间格局演变的关系,以安徽省2000年、2005年以及2010年Landsat TM影像和DEM数据为数据源,利用坡向、地形起伏度、坡度变率和地形位指数多种地形因子,并结合地学信息图谱分析理论从综合角度系统研究土地利用结构时空分异格局在地形梯度上的变化特点及其规律。结果表明:1)研究区主要的土地利用类型是耕地和林地,其次是建设用地和未利用土地,且建设用地面积逐期增加趋势显著。2)2000~2010年研究区不同土地利用类型在不同地形梯度区间的分异规律存在明显差异。低地形梯度范围是耕地、水域和建设用地的优势分布区;中地形梯度范围是草地的集中分布区;林地的优势分布区集中在高地形梯度范围。3)2000~2010年研究区土地利用图谱以稳定型和后期变化型为主,低地形梯度和高地形梯度是稳定型图谱的集中分布区,中低、中高和高地形梯度范围是后期变化型图谱的优势分布区。2000~2005年林地的优势分布区有向较低地形位梯度扩张的趋势,其中,耕地是主要的转入来源。2005~2010年耕地的优势分布区有向较高地形位梯度扩张的趋势,变化模式主要为:"林地–耕地"、"未利用地–耕地"和"草地–耕地"。     

基于MERIS数据的太湖悬浮物与叶绿素a遥感估算研究

基于MERIS数据,采用最大叶绿素指数算法,分别建立太湖悬浮物浓度与叶绿素a浓度的估算模型。经误差分析证明,该模型适宜检测悬浮物与叶绿素a质量浓度范围分别为15 g/m3～80 g/m3与10 mg/m3～20 mg/m3的水域,可用于太湖水体悬浮物与叶绿素a的MERIS遥感估算。     

复杂气井套管力学分析与可靠度评价

为建立考虑地层和套管参数随机性的套管可靠度评价理论方法，以便得到复杂井况下套管传统设计安全系数与可靠指标之间的关系，提出了非均匀地应力和内压联合作用下，沿套管最大外挤力方向管壁任意位置发生屈服失效时外壁等效均匀外挤力的计算方法；建立了套管抗挤和抗内压三轴强度计算公式以及有效内压计算方法；根据套管载荷和强度影响因素统计参数以及评价过程中参数测试标准值，利用蒙特卡洛法（MC）建立了完整的套管可靠度计算和评价方法；通过实例对传统安全系数与可靠指标的对应关系进行了研究。研究结果表明:指定条件下，套管安全系数与可靠指标之间存在对应关系；利用建立的方法编制计算程序可以为传统设计法中安全系数代表的安全程度进行量化；可靠度评价方法能够为安全系数的选取提供指导。     

近52年来洞庭湖流域气象干旱的时空分布特征

基于洞庭湖流域84个气象站点1962~2013年的逐日气象资料,利用综合干旱指数(CI)对洞庭湖流域气象干旱的时间和空间特征进行分析。结果表明:在过去52 a,区域性干旱强度较强的时段以夏季、秋季、夏秋和秋冬时节为主;区域干旱强度在春季、夏季、夏秋、冬季呈上升趋势;秋冬时节和年干旱强度变化不明显;春夏时节、夏秋时节、秋冬时节和冬春时节的平均干旱强度比春、夏、秋、冬单个季节的平均干旱强度大。小波分析表明,区域干旱强度的周期以10a为主周期,5 a和22 a为次周期。近52 a来,历年干旱站次比主要集中于10%~30%之间,多表现为区域性干旱,以夏季和秋季的干旱范围较大;干旱频率高发时期主要为夏季、夏秋时节和秋季。干旱频率高发地主要以流域的南部山地和北部的洞庭湖平原为主,西北部的山地发生干旱相对较少,衡邵盆地随季节变化干旱频率易发生高低值转换。     

Co-composting of livestock manure with rice straw: Characterization and establishment of maturity evaluation system

Composting is considered to be a primary treatment method for livestock manure and rice straw, and high degree of maturity is a prerequisite for safe land application of the composting products. In this study pilot-scale experiments were carried out to characterize the co-composting process of livestock manure with rice straw, as well as to establish a maturity evaluation index system for the composts obtained. Two pilot composting piles with different feedstocks were conducted for 3 months: (1) swine manure and rice straw (SM–RS); and (2) dairy manure and rice straw (DM–RS). During the composting process, parameters including temperature, moisture, pH, total organic carbon (TOC), organic matter (OM), different forms of nitrogen (total, ammonia and nitrate), and humification index (humic acid and fulvic acid) were monitored in addition to germination index (GI), plant growth index (PGI) and Solvita maturity index. OM loss followed the first-order kinetic model in both piles, and a slightly faster OM mineralization was achieved in the SM–RS pile. Also, the SM–RS pile exhibited slightly better performance than the DM–RS according to the evolutions of temperature, OM degradation, GI and PGI. The C/N ratio, GI and PGI could be included in the maturity evaluation index system in which GI > 120% and PGI > 1.00 signal mature co-composts.