土壤调理粉剂处理下茶园土壤重金属污染特征及潜在风险评价

本文以贵州安顺不同土壤调理粉剂处理下“瀑布毛峰”茶园土壤为供试样品,通过样品测试与理化分析,对CK处理(0 kg/hm²)、A处理(600 kg/hm²)、B处理(750 kg/hm²)和C处理(900 kg/hm²)下茶园土壤重金属含量特征及污染水平进行探讨。结果表明：不同土壤调理粉剂处理下,研究区域土壤重金属Cr、Hg、Pb、Cu、Zn、Ni、As和Cd的变异程度各异,且土壤中这8种重金属含量也各不相同,其中pH、Cr、Pb和Ni含量在C处理中最高,As、Hg和Cd含量在A处理中最高,Cu和Zn含量在B处理中最高;对各重金属元素进行相关性分析可知,Ni与Pb之间存在极显著相关性,表明两者之间的同源性极高,其余元素之间相关性特征不明显;由综合污染指数（P_综）得出A处理为轻度污染,CK处理、B处理和C处理均为中度污染,不同处理土壤中Cr均在国家Ⅱ级标准(GB15618—2008)规定范围内,样点达标率为100%,在所选定的污染评价因子中,Cu的贡献率最高,为土壤主要影响因子,其次是Cd和Ni;研究区土壤重金属单项潜在生态风险指数($E_{r}^{i}$)中Hg属于强生态风险,其余7种重金属处于轻微潜在生态风险等级;综合潜在生态风险指数(RI)平均值为196.79,总体处于中等潜在生态风险水平,Hg对RI的贡献率最大,是最主要的生态风险元素。     

土壤生态环境损害鉴定评估中基线确定方法讨论

随着近年来我国经济的高速发展,各地生态环境污染和破坏形势日益严重,特别是涉及土壤环境的污染和破坏事件日益增加,需要对发生土壤污染的场地进行损害鉴定评估工作。根据生态环境部《生态环境损害鉴定评估技术指南总纲和关键环节第1部分:总纲》(GB/T39791.1-2020)等技术规范,规定了4种基线确定方法:即历史数据法、对照数据法、标准基准和专项研究等方法。通过相关案例,主要分析了土壤生态环境损害鉴定评估工作中对照数据法中基线值确定方法,为后续开展相关土壤环境损害鉴定评估工作提供一定的参考。     

Soil protection for a sustainable future: options for a soil monitoring network for Ireland

The increased recognition of the importance of soil is reflected in the UN Post‐2015 Development Agenda with sustainable development goals that directly and indirectly relate to soil quality and protection. Despite a lack of legally binding legislation for soil protection, the European Commission remains committed to the objective of soil protection. However, the achievement of a legally binding framework for soil protection relies on the implementation of a soil monitoring network (SMN) that can detect changes to soil quality over time. As beneficiaries do not pay for the provision of soil information, the options for soil monitoring are limited. The use of existing data sets should be considered first. Using Ireland as an example, this research explored the opportunities for a SMN for Ireland considering three existing national data sets. The options for a SMN are considered in terms of their spatial and stratified distribution, the parameters to be measured and an economic analysis of the options proposed. This research finds that for Ireland, either a 10 or a 16 km² grid interval stratified by land use and drainage class offers the best potential in relation to the spatial distribution of existing data sets to reflect local data at a national level. With existing data, the stratified SIS data using the 16 km² grid offers the best value for money, with baseline costs for analysis, excluding field costs, of between €706 481 and €2.8 million. Acknowledging the impossibility of measuring all parameters with ideal frequency, this study proposes a two‐tier system for optimized monitoring frequency. Parameters must anticipate future policy requirements. Finally, the implementation of a SMN must be accompanied by standardized methods, defined thresholds and action mandates to maintain soil quality within allowable limits.     

黔东南州天柱县植烟土壤保育与改良研究

植烟土壤是确保烤烟优质高产的关键因素之一,通过对天柱县植烟土壤烟田基本情况、土壤退化情况、土壤保育与改良情况、土地整理情况等进行调查,结果表明:该烟区地块比较破碎,有便利的排水条件或健全的排水设施,无洪涝灾害的烟田面积为420.00 hm~2,占63.0%;土壤板结发生面积为136.00 hm~2,占基本烟田的20.4%;有机质含量下降发生面积为208 hm~2,占基本烟田的31.2%;水土流失发生面积为169.33 hm~2,占基本烟田的25.4%。为此,应采取土壤改良措施,以促进天柱特色优质烤烟的发展。     

Soil water response to precipitation in different microtopographies on the semi-arid Loess Plateau,China

Soil water is an important factor restricting afforestation on the semi-arid Loess Plateau.The microtopography of the loess slope has changed the distribution pattern of soil water on the slope.To improve water utilization efficiency and optimize afforestation configuration patterns,the relationship between soil water and precipitation at micro-topographic scale must be studied.We used time series analysis to study the temporal variation of soil water and its response to precipitation in four kinds of micro-topographies and undisturbed slope on loess slopes.Micro-topographies significantly influenced soil water distribution and dynamics on the slopes.Soil water stored in the platform,sinkhole,and ephemeral gully influenced subsequent soil water for 4 weeks,whereas soil water stored in the scarp and undisturbed slope could influence soil water for 2 weeks.It took 12 weeks,10 weeks,18 weeks,6 weeks,and 12 weeks for precipitation to reach the deeper soil layer in the platform,sinkhole,scarp,ephemeral gully,and undisturbed slope,respectively.These soil water characteristics in different micro-topographies are vital factors that should be taken into consideration when undertaking afforestation on the Loess Plateau.     

不同土壤条件下氮肥处理对小麦产量及品质的影响

为探讨不同土壤条件下氮肥处理对小麦产量及品质的影响,采用盆栽试验,以Egypt1和津强7号为供试材料,研究不同土壤条件下氮肥处理对小麦产量及品质的影响。试验设黑土、潮土2种土壤类型和不追肥、拔节期追氮肥、挑旗期追氮肥3种肥料处理,3次重复。结果表明: 在2种土壤条件下,小麦籽粒产量和各蛋白质组分产量表现为黑土>潮土,除球蛋白产量外,土壤处理间均差异显著。不同时期追施氮肥均显著提高了籽粒产量和蛋白质产量。黑土和潮土配合追施氮肥都可以有效提高小麦籽粒产量,改善品质。     

Efficiency of wheat straw mulching in reducing soil and water losses from three typical soils of the Loess Plateau,China

Mulching the soil surface with a layer of plant residue is considered an effective method of conserving water and soil because it increases water infiltration into the soil, reduces surface runoff and the soil erosion, and reduces flow velocity and the sediment carrying capacity of overland flow. However, application of plant residues increases operational costs and so optimal levels of mulch in order to prevent soil and/or water losses should be used according to the soil type and rainfall and slope conditions. In this study, the effect of wheat straw mulch rate on the total runoff and total soil losses from 60-mm simulated rainstorms was assessed for two intensive rainfalls (90 and 180 mm h⁻¹) on three slope gradients typical conditions on the Loess Plateau of China and elsewhere. For short slopes (1 m), the optimal mulch rate to save water for a silt loam and a loam soil was 0.4 kg m⁻². However, for a clay loam soil the mulch rate of 0.4 kg m⁻² would be optimal only under the 90 mm h⁻¹ rainfall; 0.8 kg m⁻² was required for the 180 mm h⁻¹. In order to save soil, a mulch rate of 0.2 kg m⁻² on the silt loam slopes prevented 60%–80% of the soil losses. For the loam soil, mulch at the rate of 0.4 kg m⁻² was essential in most cases in order to reduce soil losses substantially. For the clay loam, 0.4 kg m⁻² may be optimal under the 90 mm h⁻¹ rain, but 0.8 kg m⁻² may be required for the 180 mm h⁻¹ rainstorm. These optimal values would also need to be considered alongside other factors since the mulch may have value if used elsewhere. Hence doubling the optimal mulch rate for the silt loam soil from 0.2 kg m⁻² or the clay loam soil under 90 mm h⁻¹ rainfall from 0.4 kg m⁻² in order to achieve a further 10% reduction in soil loss needs to be assessed in that context. Therefore, Optimal mulch rate can be an effective approach to virtually reduce costs or to maximize the area that can be treated. Meantime, soil conservationist should be aware that levels of mulch for short slopes might not be suitable for long slopes.     

基于USLE模型的滹沱河上游黄土区土壤侵蚀空间特征研究

滹沱河是山西省面积较大的支流之一,研究滹沱河上游的土壤侵蚀对于建立山西省生态修复体系具有重要意义。以忻州市滹沱河上游为研究区,以遥感影像数据、数字高程模型数据、降雨数据、土壤类型数据为基础,利用GIS、RS技术,结合美国通用水土流失方程(USLE)估算滹沱河上游流域的土壤侵蚀模数。结果表明：（1）2015年滹沱河上游的土壤平均侵蚀模数为2538.9 t/(km ²·a),整体属于中等侵蚀水平。土壤侵蚀类型主要为微度侵蚀、极强烈和剧烈侵蚀;（2）随着高程海拔的升高,土壤侵蚀强度加大,土壤侵蚀面积减少,高程与土壤侵蚀强度呈正相关关系,与侵蚀面积呈负相关关系。剧烈侵蚀在各个高程带均有分布,在[500,1000)高程带中,微度侵蚀的面积范围最大;（3）研究区在0—5°带的土壤侵蚀面积分布最大;（4）牧草地的土壤侵蚀分布范围最广,其次分别为耕地>林地>园地>城镇村及工矿用地>水域及水利设施用地>其他土地。研究结论可为政府制定土壤侵蚀治理的技术方法、治理方案以及治理工程类型、规模及布局等提出科学依据。     

十里香茶离体培养及再生体系研究

为了保护珍贵的十里香茶树资源,掌握利于十里香茶的最优组培条件,本研究对十里香茶组培过程中外植体类型、消毒时间、培养基添加物及培养条件进行了筛选。结果表明,采用轻微木质化的带腋芽茎段经升汞消毒15 min,接种后暗培养5 d,MS+0.2 mg·L^-1 NAA培养基中添加3 mg·L^-1 PVP+2000 mg·L^-1 Vc或者6 mg·L^-1 PVP+3000 mg·L^-1 AC,可在低污染率的前提下将褐化率降为10%左右,一定程度上解决了茶树组培中褐化率高的难题;采用1/8 MS+1 mg·L^-1 IBA培养基有利于外植体生根且增殖迅速。本研究建立了十里香茶的无菌苗离体培养及再生体系,可通过组培手段对其进行大量繁殖。     

张家港市农田土壤重金属含量高光谱遥感监测模型构建

以张家港农田土壤作为研究对象,在实验室测定土壤重金属元素As、Cd、Cr、Cu、Zn、Ni、Pb、Hg的含量,并与土壤可见近红外高光谱数据建立土壤重金属含量的定量估测模型,以快速获取研究区农田的土壤重金属含量。为保证模型预测的精度和稳定性,首先,对原始高光谱数据进行平滑处理,并进行一阶导数、倒数一阶导数、倒数的对数一阶导数、平方根一阶导数和连续统去除等形式的光谱变换;然后,提取不同变换光谱的特征波段进行相关性分析;最后,通过逐步回归法建立重金属含量的定量估算模型。结果表明:张家港市农田土壤中Cd、Hg、Cu、Zn存在一定的污染风险。在高光谱的不同变换形式中,一阶导数和连续统去除与重金属含量的相关系数高于其他变换形式。基于8种土壤重金属含量与高光谱数据建立的定量估算模型具有良好的预测精度。Cd、Hg、Cr、As、Cu、Zn、Ni、Pb估算模型的实际值与验证值的拟合度分别为0.874、0.879、0.800、0.646、0.513、0.655、0.603和0.542,可用于预测张家港市的农田土壤重金属含量。