Remediation of amide pesticide-polluted soils by combined solarization and ozonation treatment

Agriculture has a close relationship with nature, but it can also be the source of negative and permanent environmental effects. The use of pesticides in modern agriculture is a common practice, but their side effects on the environment cannot be disregarded. In this study, we evaluated a combination of solarization and ozonation techniques for the elimination of six amide pesticides (boscalid, chlorantraniliprole, cyflufenamid, fluopyram, napropamide, and propyzamide) in soil. Initial experiments were performed with four different soils to assess the efficiency of this methodology at different soil temperatures and ozone dosages under laboratory conditions, and then a greenhouse pot experiment was conducted under controlled conditions during summer. Fifty days after the onset of the experiments, higher degradation percentages of amide pesticides were observed in ozonized soils than in other treated soils, particularly when ozone was applied at 10 cm soil depth. The results show that the utilization of ozonation, along with solarization, represents a valid method for degrading residues of the studied pesticides and suggest that this combined technology may be a promising tool for remediating pesticide-polluted soils.     

Resistance and resilience of soil biological indicators: A case study with multi-walled carbon nanotube

Soil ecosystem is experiencing stresses due to climate change, and soil inhabitants try to demonstrate their inherent resistance and resilience against those stresses. Application of nanomaterials as agricultural inputs could bring shifts in resistance and resilience patterns of soil microbes and associated enzymes, especially under short-term heat stress. With this background, the impacts of multi-walled carbon nanotube (MWCNT) on the resistance and resilience of soil biological indicators were evaluated. An incubation experiment was conducted with varied MWCNT concentrations (0, 50, 100, 250, and 500 mg kg^-1 soil) for 90 d after 24-h heat stress at 48 ±2 ℃ to assess the impacts of MWCNT on soil enzyme activities and microbial populations vis-à-vis their resistance and resilience indices under short-term exposure to heat stress. Enzyme activities were reduced after exposure to heat stress. Resistance indices of enzyme activities were enhanced by MWCNT application on day 1 after heat stress, whereas there was no recovery of enzyme activities after 90-d incubation. Like soil enzyme activities, resistance index values of soil microbial populations followed the similar trend and were improved by MWCNT application. Multi-walled carbon nanotube has the potential to improve resistance indices of soil enzyme activities and microbial populations under heat stress, although they could not recover to their original state during periodical incubation after heat stress. This study helps to understand the relative changes of biological indicators under MWCNT and their ability to withstand heat stress.     

Proximal sensor-enhanced soil mapping in complex soil-landscape areas of Brazil

Portable X-ray fluorescence (pXRF) spectrometry and magnetic susceptibility (MS) via magnetometer have been increasingly used with terrain variables for digital soil mapping. However, this methodology is still emerging in many countries with tropical soils. The objective of this study was to use proximal soil sensor data associated with terrain variables at varying spatial resolutions to predict soil classes using the Random Forest (RF) algorithm. The study was conducted on a 316-ha area featuring highly variable soil classes and complex soil-landscape relationships in Minas Gerais State, Brazil. The overall accuracy and Kappa index were evaluated using soils that were classified at 118 sites, with 90 being used for modeling and 28 for validation. Digital elevation models (DEMs) were created at 5-, 10-, 20-, and 30-m resolutions using contour lines from two sources. The resulting DEMs were processed to generate 12 terrain variables. Total Fe, Ti, and SiO₂ contents were obtained using pXRF, with MS determined via a magnetometer. Soil class prediction was performed using the RF algorithm. The quality of the soil maps improved when using only the five most important covariates and combining proximal sensor data with terrain variables at different spatial resolutions. The finest spatial resolution did not always provide the most accurate maps. The high soil complexity in the area prevented highly accurate predictions. The most important variables influencing the soil mapping were MS, Fe, and Ti. Proximal sensor data associated with terrain information were successfully used to map Brazilian soils at variable spatial resolutions.     

辊刷式蓖麻收获机采摘机构优化设计与试验

针对蓖麻机械化采收时采净率低、破损率高等难题,结合蓖麻物理特性和种植模式,研究设计了辊刷式蓖麻收获机采摘机构。首先在分析采摘机构总体结构的基础上阐述了辊刷式采摘原理,阐明了辊刷、螺旋输送器、传动系统等关键部件的设计。进一步地,为探究采摘机构相关参数的最优组合,提高蓖麻采摘质量,采用Box-Benhnken响应面试验设计理论,以前进速度、辊刷转速、刷丝长度为影响因素,以采净率、籽粒破损率及含杂率为作业质量评价指标,进行参数优化试验。建立各影响因素与指标之间的回归数学模型,并分析各因素对响应值的交互影响,同时对模型进行了综合优化,获得最优参数组合为:前进速度0.72 m/s、辊刷转速371.69 r/min、刷丝长度56.60 mm,对应的采净率、籽粒破损率、含杂率分别为90.81%、0.17%、11.27%。对优化结果进行验证试验,试验结果表明在最优参数组合下,采净率为91.36%、籽粒破损率为0.18%、含杂率为11.67%,各评价指标与预测值均很接近。研究结果可为辊刷式蓖麻收获机进一步完善结构设计和工作参数优化提供参考。     

砾石含量对土壤可蚀性因子估算的影响研究

砾石（>2 mm）是土壤组成部分之一,其含量对侵蚀产沙有重要影响。在土壤可蚀性因子（K）计算中充分考虑砾石含量的影响,计算所得土壤可蚀性因子会更加准确。利用30弧秒分辨率土壤砾石含量和土壤质地等级等数据,利用文献报道的砾石含量与土壤渗透性和土壤侵蚀关系估算方法,在全球范围内分析估算砾石含量对土壤可蚀性因子的影响。结果表明,（1）土壤剖面中砾石的存在,通过降低土壤入渗速率（土壤渗透性等级增加5.68%）、增加地表径流而使土壤侵蚀增加,进而使全球土壤可蚀性因子增加4.43%;砾石覆盖通过保护土壤免遭雨滴打击和径流冲刷减少侵蚀,在山地、荒漠（沙漠和戈壁）地区,这一影响会使土壤可蚀性值减小约18.7%。考虑土壤剖面砾石含量和表面砾石覆盖综合影响时,土壤可蚀性因子降低5.52%。（2）以砾石影响为主的地区,占全球62.7%,土壤可蚀性因子可降低0.0091( t?hm2?h)?( hm-2?MJ-1?mm-1);以剖面砾石影响为主的地区,占全球的31.1%,土壤可蚀性因子增加0.0019( t?hm2?h)?( hm-2?MJ-1?mm-1)。（3）剖面和表面砾石共同作用使6个样区土壤流失速率减少约11.8%。因此,剖面砾石的存在会增加土壤可蚀性,而表面砾石覆盖会减少土壤可蚀性,综合影响使土壤侵蚀降低。在区域土壤可蚀性制图研究中,应考虑这两个方面的影响,进而提高土壤可蚀性因子的制图精度。     

高镉累积水稻对镉污染农田的修复潜力

为探究高镉累积水稻品种扬稻6号和玉珍香对镉污染农田土壤的修复潜力,通过大田小区试验,测定6个不同生育期(返青、分蘖、孕穗、齐穗、蜡熟、完熟)5个部位(根、茎0～10 cm、茎10～20 cm、茎20 cm以上和谷)稻草的镉含量,开展高镉累积水稻镉累积规律、移除时间和移除高度研究。结果表明,水稻扬稻6号和玉珍香各部位镉含量随生育期的延长而增加,孕穗期增幅最大,完熟期达到最大值,在同一时期不同部位镉含量分布随株高呈递减趋势;完熟期,水稻品种扬稻6号和玉珍香的根、茎0～10 cm、茎10～20 cm、茎20 cm以上部分和谷中镉含量分别为19.3、11.8、9.4、8.1和3.9mg/kg与19.5、16.3、14.3、9.7和3.7 mg/kg,其对应的镉富集系数均大于1,对镉表现出高积累特性;稻草镉的移除含量在全育期均表现从大到小依次为整株收割、地上部全收割、离地10 cm收割、离地20 cm收割,完熟期整株移除情况下,扬稻6号稻草镉累积移除含量达1 652.11μg/株,玉珍香稻草镉累积移除含量达1 547.70μg/株;一年种植一季水稻扬稻6号和玉珍香,整株移除情况下土壤镉移除效率分别为9.1%和8.5%,地上部全移除情况下土壤镉移除效率分别为7.2%和7.1%。因此为兼顾水稻移除修复效果和可操作性,建议稻草在完熟后按地上部全收割的方式移除。研究结果可为镉污染稻田的植物修复治理提供新的思路。     

盐碱土入渗下修正Green-Ampt模型参数确定与验证

为进一步探究盐碱土的入渗机理,实现科学的盐碱土农业生产与灌溉,基于传统Green-Ampt模型,根据盐碱土的入渗特性引进扩散率D(θ),并结合对土壤剖面含水量分布的划分假定对模型进行修正。利用5种盐碱土进行一维积水入渗试验,采用入渗率、湿润锋数据验证该修正模型。结果显示：修正模型模拟值与实测值的一致性良好,进行相关分析得到5种盐碱土入渗率R2平均值为0.983,平均绝对误差均小于0.05;湿润锋R2平均值为0.868,平均绝对误差均小于3.50。将修正模型参数饱和导水率、湿润锋面基质吸力值与盐碱土盐分离子含量进行相关分析,结果显示基质吸力值随K++Na+含量的减少而减小,饱和导水率随K++Na+含量的减少而增大。该修正模型经验证可应用于不同盐渍化程度的盐碱土入渗过程模拟,从而为深入盐碱土水分入渗机制研究与加快盐碱土农业生产提供理论支持。     

不同退耕年限干旱绿洲植被群落及灰棕漠土特性变化

为了探讨不同退耕年限对植被恢复及土壤特性的影响,选择民勤绿洲不同年代退耕地(1,2, 4,8,13,20,30,40年)和耕地（对照CK）为研究对象,运用时空替代法,测定并系统分析其植被组成、土壤理化特性、土壤微生物特性和土壤酶活性。结果表明：在40年退耕地植被自然演替过程中,9个样地（包括一个CK）的所有样方中共出现43种植物,植被群落由一年生草本植物逐渐演替为单一的灌木,表现出较强的连续性与递进性。随着退耕年限的增加土壤含水率呈先降再升后降的趋势,总体呈倒“N”字型变化。土壤容重总体表现为逐渐减小;土壤粒径变化规律不明显,各样地细砂粒占比最大,黏粒最少;土壤全氮、速效钾、土壤有机质含量及土壤微生物量碳呈先上升后下降趋势,速效磷含量变化不明显,但是变化幅度较大;细菌与放线菌数量不同程度的减少,细菌是土壤中主要的微生物类群,最大数量达到611.46×105 cfu.g-1;土壤酶活性随退耕年限延长呈波动式下降。随着土层深度增加,土壤容重、土壤养分及土壤微生物总体表现为逐渐减小,表聚现象明显;通过退耕地聚类谱系图可以推断出退耕第4年是民勤绿洲退耕地恢复治理的关键时期。     

针铁矿吸附态和包裹态有机碳在稻田土壤中的矿化及其激发效应

南方水稻土富含铁氧化物,土壤有机碳通过与铁氧化物结合的形式长期固存于土壤中;由于土壤中氧化铁和有机碳主要通过吸附、键和与包裹等形式存在,所以不同的碳铁复合物的稳定性存在一定的差异。尽管已有较多研究分析了土壤中有机碳与铁矿的结合与赋存形式,但是有机碳与铁矿间的结合方式对有机碳在水稻土中矿化及其激发效应的影响机制尚不明确。以葡萄糖为典型小分子外源有机碳,通过制备针铁矿吸附态葡萄糖和包裹态葡萄糖,采用室内模拟培养实验,研究了两种铁矿结合态葡萄糖在淹水水稻土中的矿化特征及其激发效应。结果表明：与单独添加葡萄糖处理相比,碳铁复合物的添加分别使CO2和13CO2释放量增加了0.39倍~0.53倍和0.87倍~1.07倍,却使CH4和13CH4释放量分别降低了0.44倍~0.59倍和0.25倍~0.44倍。相对于针铁矿吸附态葡萄糖,针铁矿包裹态葡萄糖显著抑制了CH4释放。而且,碳铁复合物的添加均在一定程度上促进了土壤原有有机碳矿化释放CO2,但抑制了来源于土壤原有有机碳的CH4释放。其中,针铁矿包裹态葡萄糖对来源于土壤原有有机碳的CH4释放量是针铁矿吸附态葡萄糖的1.33倍。针铁矿包裹态葡萄糖的快速矿化的碳库比例显著高于针铁矿吸附态葡萄糖,且其半衰期（T1/2）比针铁矿吸附态葡萄糖大10.85倍,其快库转化速率（k1）和慢库转化速率（k2）比铁矿吸附态葡萄糖的小10.74倍和19倍。其次,针铁矿包裹态葡萄糖对土壤有机质CO2累积激发效应表现为较弱的正激发(6.44 mg?kg-1),而对土壤有机质CH4累积激发效应则表现为负激发(-15.49 mg?kg-1),即针铁矿包裹态葡萄糖的添加抑制了土壤原有有机碳的矿化(-9.05 mg?kg-1),从而增强了土壤有机碳的固持潜力。因此,不同结构碳铁复合物的添加抑制了土壤原有有机碳的矿化,且针铁矿包裹态有机碳比针铁矿吸附态有机碳在水稻土中具有更强的稳定性和固碳效应。该研究结果也表明,水稻土中与铁氧化结合的小分子有机碳相对于游离态的有机碳,具有更强的生物稳定性,更低的矿化速率,而且能够抑制土壤有机碳的矿化,产生负激发效应,有利于增加土壤的长期固碳效应。     

秸秆生物质炭对稻田土壤剖面N2O和N2浓度的影响*

氧化亚氮（N2O）和氮气（N2）是淹水稻田土壤剖面反硝化过程的重要气态产物,可通过土水界面向大气排放,也可随水向下淋溶。秸秆生物质炭施入稻田后会改变土壤理化及微生物学性质,影响反硝化过程及N2O和N2产排。本研究依托2010年夏建立的连续秸秆生物质炭还田的稻麦轮作农田试验,通过埋设淋溶管收集土壤剖面溶液,采用气相色谱和膜进样质谱分别定量溶液中N2O和exN2（反硝化产生N2量）,观测了2018和2019年水稻季不同秸秆生物质炭施用量（CK：每季0 t·hm-2;1BC：每季2.25 t·hm-2;5BC：每季11.3 t·hm-2;10BC：每季22.5 t·hm-2）下0~1 m土壤剖面溶液中N2O和exN2浓度的时空变化,评估了长期施用秸秆生物质炭对稻田土壤剖面反硝化作用及其主要气态氮产物exN2随水流失的影响。结果表明,两个稻季CK处理N2O浓度以60 cm处较高,exN2浓度则随土壤深度增加呈降低趋势。秸秆生物质炭处理能降低剖面N2O和exN2浓度,以10BC处理最为明显。其中,N2O浓度降低以60 cm处较大,exN2浓度降低随土壤深度增加而加大。施用秸秆生物质炭对土壤剖面溶液无机氮（NO3-+NH4+）含量无明显影响,但5BC和10BC处理增加了可溶性有机碳（DOC）和溶解氧（DO）浓度以及氧化还原电位（Eh）。CK处理下土壤剖面溶液N2O和exN2浓度变化与DOC、硝态氮（NO3-）及DO有关;秸秆生物质炭处理下则主要受DO和Eh控制。exN2淋溶量（按1 m深度计算）CK处理下为2.3 ~5.5 kg·hm-2,相当于无机氮和有机氮（DON）淋溶量的32%~34%,5BC和10BC处理则降低为1.7 ~3.7 kg·hm-2和1.1~1.9 kg·hm-2,上述结果表明,反硝化产生N2随水淋溶量不容忽视,秸秆生物质炭还田可改善淹水稻田土壤剖面的通气状况,增加DO,提高Eh,进而有效减少深层反硝化及其主要气态产物exN2随水流失的风险。