除草剂硝磺草酮对土壤微生物生态效应研究

采用室内培养试验,研究了硝磺草酮对土壤酶活性和微生物群落功能多样性的影响.结果表明,土壤过氧化氢酶和蔗糖酶活性随硝磺草酮浓度增加呈现先增加后降低的趋势,但比对照处理都有所升高,分别增加了22.6%~41.0%和3.4%~54.2%,且在硝磺草酮浓度为50mg/kg时达到最大.与之相反,尿酶活性则降低了12.0%~18.6%,但差异性不明显(P > 0.05).施用一定浓度的硝磺草酮激活了土壤微生物活性,微生物群落丰富度、均匀性和多样性都呈增长趋势,单孔的平均颜色变化率(AWCD)值和利用速率均随硝磺草酮浓度增加而增大,微生物群落对碳水化合物类、氨基酸类、多聚物类、羧酸类、胺类和酚酸类利用率整体上均有所提高,与对照相比,最大增幅分别达到5.3、1.0、4.4、3.2、0.2和6.8倍,但不同浓度硝磺草酮处理下土壤微生物在利用碳源的类型上是存在一定的差异.     

集雨种植下不同沟垄比对土壤呼吸的影响及其对水热因子的响应

为探明不同宽度沟垄集雨种植下土壤呼吸对土壤水热因子的响应机制,对比研究了沟垄比分别为20 cm∶40 cm(P40)、30 cm∶30 cm(P30)、40 cm∶20 cm(P20)的沟垄集雨种植和平作种植(CP)下冬小麦的土壤呼吸动态变化,及其与土壤温度和水分的关系.结果表明,4个处理的土壤呼吸速率在越冬期最低,返青期开始升高,扬花期前后达到峰值,之后逐渐降低.沟垄集雨处理土壤呼吸速率表现为P40P30P20,垄宽增加使呼吸速率提高1.2%~18.4%;苗期和越冬期,沟垄集雨种植提高了土壤呼吸速率,表现为P40P30P20CP,其中苗期3个沟垄集雨处理均显著高于CP(P0.05),越冬期P40处理显著高于CP;苗期和越冬期沟垄集雨种植提高了土壤温度,拔节期至成熟期CP土壤温度高于沟垄集雨处理;沟垄集雨种植能有效蓄水保墒,随着垄宽的增加集雨效果越好,苗期至拔节期降雨稀少,7.6 cm和12 cm土层土壤含水量均表现为P40P30P20CP.相关分析表明,土壤呼吸与温度的相关系数达极显著水平(P0.01),P40和P30的土壤呼吸与水分的相关系数小于P20和CP;水热双因子二次方程模型能解释呼吸变化的61.7%~74.1%,温度指数模型能解释50.3%~68.2%.本研究结果为沟垄集雨种植的生态效益评估提供理论依据.     

Evaluation of phosphorus removal from wastewater by soils in rural areas in China

Low-cost, easy-maintenance and high-e ciency decentralized wastewater treatment technologies are urgently needed in rural areas of China. Processes with high potential for phosphorus removal are of great interest. However, commonly used treatment methods often do not meet the strict criteria for removing phosphorus from rural wastewater. In order to search an economic and simple technology for phosphorus removal from the common bio-technologies e uent, seven soil types collected from di erent rural areas in China were investigated for their ability to remove phosphorus. X-ray di raction (XRD) was used to analyse the mineral structure, and inductively coupled plasma optical emission spectrometer (ICP-OES) was used to analyse the geochemical composition of the soil samples. Three primary minerals – quartz, albite and montmorillonite – were clearly detected. The samples were divided into two soil types, acidic soils and alkaline soils, based on their pH values. The geochemical composition study indicated that a higher percentage of Ca and Mg occurred in alkaline soils (pH > 8) than in acidic soils (pH < 6.5). Adsorption isotherms from batch experiments fitted the Langmuir and Freundlich models well, the maximum P adsorption capacities ranged from 0.256 to 1.598 mg P/g, indicating a high phosphorus removal potential for all of these soils. The P fractions extracted revealed that the sum of NaOH-extracted inorganic P (NaOH-Pi) was the major P component in the acidic soils, and CaCO3-bound phosphorus (Ca-P) in the alkaline soils. Dynamic adsorption simulation showed that these soils have the ability to remove phosphorus from wastewater.     

Residual dynamics of thiacloprid in medical herbs marjoram, thyme, and camomile and in soil

Thiacloprid is a new insecticide of the chloronicotinyl family. To assess its risk after application, residual characteristics of thiacloprid in marjoram, thyme, and camomile and in soil were studied under field conditions. The active ingredient was extracted from the plant material using a mixture of acetone-water. After filtration, the extract was concentrated to the aqueous phase, diluted with water, and portioned against ethyl acetate on a matrix solid phase dispersion column. Thiacloprid was extracted from soil using a mixture of methanol-water, filtered, and re.extracted （clean up） with dichloromethane. The residues were quantified using HPLC-MS-MS. The methods were validated by recovery experiments. Thiacloprid residues in marjoram, thyme, and camomile and in soil persisted beyond 10, 14, 14, and 21 d but no residues were detected after 14, 21, 21, and 28 d, respectively. The data obtained in this study indicated that the biexponential model is more suitable than the first-order function to describe the decline of thiacloprid in fresh marjoram, fresh thyme, and dried camomile flowers with half-life （t1/2） of 1.1, 0.7, and 1.2 d, respectively. However, both the first-order function and biexponential model were found to be applicable for dissipation of thiacloprid in soil with almost the same t1/2 values of 3.5 and 3.6 d. The results indicated that thiacloprid dissipates rapidly and does not accumulate in the tested herbs and in soil.     

多元复合调理剂对镉砷污染农田土壤微生物群落结构的影响

通过温室盆栽试验,研究多元复合调理剂(石灰石、铁粉、硅肥和钙镁磷肥,简称LISP)对土壤基本理化性质、Cd和As的生物有效性和微生物群落结构的影响.结果 表明,LISP可改变土壤基本理化性质,降低土壤有效态Cd和As含量,并改变土壤微生物群落结构.在0.4％的LISP添加下,土壤pH值、有效磷和总磷含量较CK处理分别显...     

直接测汞法和原子荧光法测定土壤中总汞的比对研究

采用DMA-80直接测汞技术,与国标方法原子荧光法对土壤中总汞的测定进行了方法比对研究。试验结果表明,直接测汞法的检出限优于原子荧光法,精密度和准确性能够满足土壤实际样品的测定,对30个实际样品分析结果的比对表明,方法间无显著差异,该方法快速、准确、无污染。     

微生物对汞矿区农田土壤汞甲基化的影响

为研究典型汞矿区农田土壤中汞的甲基化作用,实验以受汞污染的旱田土壤和稻田土壤为对象,分别进行灭菌,促进硫酸盐还原菌(SRB)活性处理,抑制SRB活性处理以及促进铁还原菌(FeRB)活性处理,分析非微生物作用和微生物作用对土壤甲基汞(MeHg)生成的影响.结果表明,促进SRB活性处理的土壤MeHg生成量最高,其中旱田土MeHg增量为0.15~0.38μg·kg~(-1),稻田土壤MeHg增量为1~2μg·kg~(-1);抑制SRB活性处理和促进FeRB活性处理的MeHg增量较小,最高值仅为0.025μg·kg~(-1).相比于旱田土壤,稻田土壤具有更高的汞甲基化能力,其MeHg生成量是旱田土壤的4~9倍.土壤SRB数量与MeHg生成量具有相同的变化趋势,二者具有显著的正相关性(R~2=0.57,P0.01).因此,该研究区土壤汞甲基化作用主要是微生物汞甲基化作用,且主要的汞甲基化细菌是SRB.此外,稻田是农田中MeHg生成的活跃地区,在评估和控制MeHg对人体健康危害时需要重点关注.     

柠檬酸与磷共存对土壤吸附镉的影响

以武汉市棕红壤为研究材料,采用室内培养和等温平衡吸附实验,研究了磷和柠檬酸共存下对土壤吸附镉的影响;并模拟干湿交替实验,通过BCR连续提取,研究了不同剂量磷和柠檬酸处理后,经多次干湿交替后镉的形态变化.结果表明,经10 mg·L-1 CdCl2溶液处理后的土壤胶体,添加较低质量浓度(40 mg·L-1)的磷对其吸附镉的...     

南京市农用地土壤中重金属形态特征分析

以南京市农用地土壤为研究对象,采用顺序提取的方法对Cu、Zn、Pb、Cd做化学形态分析,了解不同元素各形态下空间赋存的含量与占比。结果表明,在农用地土壤中,上述4种金属元素所赋存的化学形态活泼性顺序为CdPbCuZn,其中Cd主要为醋酸提取态,Pb主要为可还原态,各占总量的40%以上,具有较高的生物有效性和潜在危害性;Cu与Zn主要为残渣态,占总量的60%左右,生物可利用性较低。由因子分析法可知,土壤p H值越大,Zn与Cd就越趋于向稳定的化学形态转化,土壤有机质含量越高,对Cu与Pb的络合能力就越强,可以降低其环境危害性。     

环境因子对土壤微生物呼吸及其温度敏感性变化特征的影响

在田间条件下研究土壤微生物呼吸及其温度敏感性(Q10)的变化特征及其影响因素对准确理解地区的气候变暖潜力具有重要意义.本研究依托长武农田生态试验站的裸地处理,利用土壤碳通量系统(Li～8100)连续6 a (2008～2013年)监测裸地处理下的呼吸速率、土壤温度和水分,探究土壤微生物呼吸及其温度敏感性的变化特征及其影响因素.在日变化尺度上,土壤微生物呼吸速率的变化特征呈单峰曲线,且这种变化趋势主要与土壤温度有关(P 0. 05),然而日平均土壤微生物呼吸速率和Q10在不同土壤水分含量条件下不同.均呈现出:适度的土壤水分条件较高的土壤水分条件较低土壤水分条件的趋势[土壤微生物呼吸速率:1. 20μmol·(m~2·s)~(-1)、0. 95μmol·(m~2·s)~(-1)、0. 79μmol·(m~2·s)~(-1); Q10:2. 12、1. 93、1. 59].在季节尺度上,土壤微生物呼吸速率和Q10均呈现出雨季大于非雨季的趋势[土壤微生物呼吸速率:1. 11μmol·(m~2·s)~(-1)、0. 90μmol·(m~2·s)~(-1); Q10:1. 96、1. 59],且这种变化趋势与土壤温度和水分的变化有关(P 0. 05),然而土壤温度和土壤水分的双变量模型比土壤温度或者土壤水分的单变量模型能解释更多的土壤微生物呼吸季节变异性(R~2:0. 45～0. 82、0. 32～0. 67、0. 35～0. 86;模拟值和实测值的拟合系数:0. 76、0. 64、0. 58).在年际尺度上,年累积土壤微生物呼吸变化于226 g·(m~2·a)~(-1)和298 g·(m~2·a)~(-1)之间,Q10变化于1. 48～1. 94之间,而年累积土壤微生物呼吸和Q10的年际变异性主要与年平均土壤水分含量有关(P 0. 05),且年平均土壤水分别可以解释39%和54%的年累积土壤微生物呼吸和Q10年际变异性.在裸地处理上,土壤有机碳由试验初的6. 5 g·kg~(-1)下降到目前的5. 5 g·kg~(-1),但是年累积土壤微生物呼吸却高达255 g·(m~2·a)~(-1),即裸地处理的呼吸流失量比土壤有机碳的流失量高20倍以上.