Fire as a Soil-Forming Factor

In the span of a human generation, fire can, in theory, impact all the land covered by vegetation. Its occurrence has many important direct and indirect effects on soil, some of which are long-lasting or even permanent. As a consequence, fire must be considered a soil-forming factor, on par with the others traditionally recognized, namely: parent material, topography, time, climate, living beings not endowed with the power of reason, and humans.     

结合《土壤污染防治行动计划》探讨中国土壤环境监管制度与标准值体系建设

2016年,中国国务院印发《土壤污染防治行动计划》(简称《土十条》),明确提出对农用地土壤实施分类管理,按照污染程度划分为优先保护类、安全利用类和严格管控类;对建设用地要防范新增污染,针对疑似污染地块,开展土壤环境状况调查评估,保障地块安全再利用;以影响农产品质量和人居环境安全的突出环境问题为重点,制定土壤污染治理与修复规划,组织开展治理与修复。实施严格的土壤环境质量保护、污染土壤的风险管控、高风险污染土壤的治理与修复是落实《土十条》的重要任务,也是建设我国土壤环境监管制度的重要内容。土壤环境标准是实施土壤环境管理的重要依据。本文基于《土十条》重要任务以及当前及今后一段时期国家土壤环境管理需求,以土壤环境管理需求为导向,探讨提出了包括土壤环境质量保护标准值、土壤环境风险管控标准值、污染土壤修复标准值的土壤环境标准值体系,可望为国家土壤环境标准体系的建立和标准制修订方法的发展提供技术参考。     

房地产用地土壤污染环境风险评价——以江苏某搬迁企业原址用地为例

许多房地产项目都是在工业企业原址上进行开发建设,可能存在不同程度的土壤污染。土壤污染的评估和修复方案已成为房地产开发项目环评的重点,文中采用单因子指数法、内梅罗指数法和土壤背景值对照法对江苏某房地产用地土壤进行了环境风险评价,结果表明该地块不需要进行土壤修复和处置。     

改良剂对广西环江强酸铅锌污染土壤的修复作用

广西环江沿岸农田土壤具有强酸、多重金属污染等特点,失去了农业生产能力,为此,本研究试用了土壤淋溶实验探究不同类型改良剂(生石灰、钙镁磷肥、有机肥、聚丙烯酰胺)组合对广西环江沿岸污染土壤的修复效果,土壤重金属迁移规律及对农田适耕性的影响.结果表明,对照组T1土壤酸化严重,降低清洁接触土壤层p H值,而处理方式T2、T3、T4、T5均能显著提高污染土壤p H值(P0.05),对供试土壤p H变化大小分别为2.7~3.2、1.6~2.7,均能达到南方农业生产土壤p H值范围.较对照组T1,在污染土壤0~20 cm处,处理方式T2、T3、T4、T5能有效地活化Pb,钝化Zn的作用;在清洁土壤20~60cm处,各个处理方式对DTPA-Pb、DTPA-Zn的作用不存在显著差异(P0.05).较对照组T1,处理方式T4、T5能为植物提供良好的种植营养物质,以期能为今后结合生物修复等措施提供技术支撑.     

热强化气相抽提对不同质地土壤中苯去除的影响

研究应用电阻加热强化气相抽提技术对砂土、壤土和黏土中苯去除效果的影响及作用机制.与常规抽提结果相比,在热强化处理作用下气相抽提对砂土和壤土中苯的去除效率提高了13.1%和12.3%,处理时间分别降低75%和14%.热强化处理使得黏土含水率下降,土壤渗透率升高,黏土颗粒表面羧基和乙基的吸收峰消失,有机质含量减少,苯的去除效率与对照相比提高了34%.对于砂土和壤土,热强化主要是通过促进苯在土体中扩散来提高去除效率,从而实现在较短时间内污染物质的大量去除;而对于黏土则是通过降低土壤颗粒表面有机基团的含量,从而降低污染物和土壤颗粒的吸附能力,并通过降低含水率和升高渗透率从而提高土壤中气体的扩散性能,以达到增强气相抽提效果的目的.     

场地含水层氯代烃污染物自然衰减机制与纳米铁修复技术的研究进展

综述了国际上典型工业场地有机溶剂污染物在地下水中的自然衰减机制及修复技术的研究现状和发展趋势.场地地下水修复技术从抽出-处理发展到治理污染源区和污染羽的纳米铁技术,涌现出-大批较为成熟的联合化学与微生物修复技术,其中潜力较大的有治理污染羽的渗透反应墙、原位化学氧化、原位化学还原、微生物强化降解及基于监测的自然衰减等.文...     

淮南潘北矿塌陷湿地土壤退化评价

采煤带来的地面塌陷是极为重要的新生环境地质问题。以淮南潘北矿塌陷湿地为研究区域,其总氮(TN)含量平均水平为1.04g/kg,总磷(TP)含量平均水平为425mg/kg,在空间分布上均有从非季节性积水区向季节性积水区递减的趋势。土壤理化性质指标间总氮与有机质(SOM)含量呈极显著正向相关,与pH呈负向相关,与有效磷(AP)呈正向相关;总磷与有效磷表现为极显著相关;AP与有效钾(AK)、SOM都有很好的相关关系。通过应用相关分析和模糊数学的原理,以TN、TP、AP、AK和SOM等5个土壤肥力指标为基础,对该区域季节性积水区和非积水区土壤肥力进行数值化综合评价。季节性积水区IFI为0.463,非积水区IFI为 0.601,表明塌陷湿地形成后会加剧水域周边土壤的退化。     

The effects of forest harvest intensity in combination with wind disturbance on carbon dynamics in Lake States Mesic Forests

Total forest carbon (C) storage is determined by succession, disturbances, climate, and the edaphic properties of a site or region. Forest harvesting substantially affects C dynamics; these effects may be amplified if forest harvesting is intensified to provide biofuel feedstock. We tested the effects of harvest intensity on landscape C using a simulation modeling approach that included C dynamics, multiple disturbances, and successional changes in composition. We developed a new extension for the LANDIS-II forest landscape disturbance and succession model that incorporates belowground soil C dynamics derived from the CENTURY soil model. The extension was parameterized and calibrated using data from an experimental forest in northeastern Wisconsin, USA. We simulated a 9800 ha forested landscape over 400 years with wind disturbance combined with no harvesting, harvesting with residual slash left on site (‘standard harvest’), and whole-tree harvesting. We also simulated landscapes without wind disturbance and without eastern hemlock (Tsuga canadensis) to examine the effects of detrital quantity and quality on C dynamics. We estimated changes in live C, detrital C, soil organic C, total C, and forest composition. Overall, the simulations without harvesting had substantially greater total C and continued to sequester C. Standard harvest simulations had more C than the whole tree harvest simulations. Under both harvest regimes, C accrual was not evident after 150 years. Without hemlock, SOC was reduced due to a decline in detritus and a shift in detrital chemistry. In conclusion, if the intensity of harvesting increases we can expect a corresponding reduction in potential C storage. Compositional changes due to historic circumstances (loss of hemlock) may also affect forest C although to a lesser degree than harvesting. The modeling approach presented enabled us to consider multiple, interacting drivers of landscape change and the subsequent changes in forest C.     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.