氮素在包气带与饱水层迁移转化的实验研究

为研究浑河流域沈阳城区段岩土中氮污染物形态的区域特征,从模拟污染来源、污染途径和污染介质的差异着手,通过2个土柱的动态实验,观察含氨氮污水在经过地下包气带与饱水层时的不同转化过程. 依据研究区域水文地球环境化学特征,动态实验过程的监测指标包括氨氮,硝酸盐氮,亚硝酸盐氮,总铁,锰离子,高锰酸盐指数,pH,E_h值和ρ(DO)等. 结果表明:在土柱Ⅰ包气带通气性良好的环境中,硝酸盐氮是污染地下水的氮素主要存在形态;在土柱Ⅱ饱水岩层缺氧的还原性环境中,氨氮是污染地下水氮素的主要存在形态;区域水文地球化学场及其岩层的岩性决定了氮的存在形态.      

Dynamics of soil inorganic nitrogen and their responses to nitrogen additions in three subtropical forests, south China

Three forests with different historical land-use, forest age, and species assemblages in subtropical China were selected to evaluate current soil N status and investigate the responses of soil inorganic N dynamics to monthly ammonium nitrate additions. Results showed that the mature monsoon evergreen broadleaved forest that has been protected for more than 400 years exhibited an advanced soil N status than the pine （Pinus massoniana） and pine-broadleaf mixed forests, both originated from the 1930＇s clear-cut and pine plantation. Mature forests had greater extractable inorganic N pool, lower N retention capacity, higher inorganic N leaching, and higher soil C/N ratios. Mineral soil extractable NH4^＋-N and NO3-N concentrations were significantly increased by experimental N additions on several sampling dates, but repeated ANOVA showed that the effect was not significant over the whole year except NH4^＋-N in the mature forest. In contrast, inorganic N （both NH4^＋-N and NO3^--N） in soil 20-cm below the surface was significantly elevated by the N additions. From 42% to 74% of N added was retained by the upper 20 cm soils in the pine and mixed forests, while 0%-70% was retained in the mature forest. Our results suggest that land-use history, forest age and species composition were likely to be some of the important factors that determine differing forest N retention responses to elevated N deposition in the study region.     

小兴凯湖表层底泥磷吸附容量及潜在释放风险

利用沉积物磷吸附指数(PSI)和磷吸附饱和度(DPS)研究了小兴凯湖表层沉积物的磷吸附容量,分析了沉积物中磷的吸附饱和度(DPS)与其他指标的相关关系,并讨论了不同采样点湖泊沉积物中磷的潜在释放风险.结果表明:13个采样点的表层沉积物的PSI为9.78~197.53(mg?L)/(100g?μmol),平均值为59.77(mg?L)/(100g?μmol);DPS为9.95%~24.47%,平均值为15.41%.PSI与草酸铵提取的磷(Pox)极显著正相关,与草酸铵提取的铁、铝(Feox,Alox)显著正相关,草酸铵提取的铁是影响PSI的主导因素;DPS主要受沉积物中原有吸附态磷的影响.此外,磷释放风险指数(ERI)8.99%~129.94%的计算结果表明:小兴凯湖表层沉积物中磷释放诱发富营养化的风险处于高度风险范围,其中,受农业面源污染影响较大的北岸区域相比其他区域发生富营养化的风险更高.     

淮南新集矿区主要充水含水层水化学特征及成因

为探明新集矿区深层地下水离子组成及其演化特征,采集了研究区砂岩水和太灰水等共20个水样,测试分析常规离子和氢氧同位素数据,采用Piper三线图、相关性分析、离子比例系数与饱和指数等方法,探讨了研究区深层地下水水化学特征及其成因。结果表明:(1)研究区砂岩水为高矿化度水,平均矿化度为2 743. 73mg/L,水化学类型主要为Cl-Na型,太灰水多为中矿化度水,平均矿化度为1 468. 33mg/L,水化学类型主要为HCO3·Cl-Na型和Cl-Na型;(2)研究区地下水的补给不仅有大气降水和地表水,还有古气候条件下形成的古溶滤-渗入水,且由于矿物质与深层地下水的水岩作用使得氧同位素发生漂移;(3)含水层中主要发生的水岩相互作用有硅酸盐和蒸发盐岩的溶解及阳离子交替吸附作用,盐岩和石膏在研究区地下水中是反应性矿物,白云石和方解石的溶解在矿区地下水中呈过饱和状态。     

FOCUS: A pilot study for national-scale critical loads development in the United States

The development and use of critical loads of air pollutant deposition in the U.S. is gaining momentum, and recent research efforts in the U.S. have produced valuable data for calculating critical loads. Critical loads are used to quantify the levels of air pollutants that are expected to impact forest health, soil fertility, aquatic biota condition, and other ecosystem responses. In addition, model refinements for improving critical loads estimates, and maps for illustrating critical loads for acidification and nitrogen saturation and eutrophication resulting from excess nutrient nitrogen, have been developed at various scales. However, prior to the effort described here, no cohesive process existed to provide a national-scale critical loads database and maps as a unified product representing all U.S. ecosystems. The FOCUS (Focal Center Utility Study) Project was initiated to coordinate the development and implementation of a clear, consistent, repeatable process for calculating and mapping critical loads within the U.S. In the FOCUS Phase I Pilot Study, empirical and calculated critical loads data for the U.S. were synthesized from dozens of regional and national-scale monitoring networks, research projects and publically available databases following an approach similar to that used in Europe. The United Nations Economic Commission for Europe (UNECE), through its International Cooperative Programme on Modelling and Mapping of Critical Levels & Loads and Air Pollution Effects, Risks and Trends (ICP-M&M) collects, analyzes and maps critical loads data. Countries participating in the Convention on Long-range Transboundary Air Pollution (CLRTAP) use a Critical Loads “Focal Center” in each country to serve as the point of contact for submitting regional and national-scale critical loads data to the ICP-M&M. One of the purposes of this study was to develop a foundation for interacting with other Focal Centers by assembling critical loads data, creating a database, establishing modeling protocols, and developing infrastructure within the U.S to report and update critical loads on a national scale. Because the U.S. does not currently have an officially designated Focal Center, critical loads data were provided as an informal, unofficial submission to the Coordination Center for Effects (CCE) of the ICP-M&M in March 2011, in the interest of international cooperation and exchange of information on the effects of atmospheric deposition of pollutants on ecosystems. We envision that these data will enable U.S. scientists, land managers, and environmental policymakers to enter into a productive and meaningful dialogue within the US, and also with the international scientific community on methods for estimating, calculating, mapping, interpreting, and refining critical loads for the effects of acidification and excess nutrient nitrogen on terrestrial and aquatic ecosystems. This paper describes the process used to develop national-scale critical loads in the U.S., summarizes the FOCUS Phase I approach and database development effort, and presents some initial national-scale critical loads mapping products.     

WATERSHED SCALE MODELING OF CRITICAL SOURCE AREAS OF RUNOFF GENERATION AND PHOSPHORUS TRANSPORT1

ABSTRACT: A curve number based model, Soil and Water Assessment Tool (SWAT), and a physically based model, Soil Moisture Distribution and Routing (SMDR), were applied in a headwater watershed in Pennsylvania to identify runoff generation areas, as runoff areas have been shown to be critical for phosphorus management. SWAT performed better than SMDR in simulating daily streamflows over the four‐year simulation period (Nash‐Sutcliffe coefficient: SWAT, 0.62; SMDR, 0.33). Both models varied streamflow simulations seasonally as precipitation and watershed conditions varied. However, levels of agreement between simulated and observed flows were not consistent over seasons. SMDR, a variable source area based model, needs further improvement in model formulations to simulate large peak flows as observed. SWAT simulations matched the majority of observed peak flow events. SMDR overpredicted annual flow volumes, while SWAT underpredicted the same. Neither model routes runoff over the landscape to water bodies, which is critical to surface transport of phosphorus. SMDR representation of the watershed as grids may allow targeted management of phosphorus sources. SWAT representation of fields as hydrologic response units (HRUs) does not allow such targeted management.     

2013—2020年泸沽湖溶解氧随时间变化规律及主要影响因素分析

泸沽湖坐落于川滇交界处,是中国典型高原淡水湖泊。对泸沽湖水质的客观评价对于其规划保护及保护成效评估极为重要。鉴于溶解氧常常成为决定泸沽湖水质类别的唯一关键指标,在综合分析泸沽湖2013—2020年连续8年水环境主要指标变化的基础上,着重分析了溶解氧随季节、年际等的变化情况及其主要影响因素。结果表明,溶解氧浓度及饱和率存在明显的季节和年际波动。其中:溶解氧浓度一般是在春季升至全年最高,夏季末降低,并在秋冬季维持低位;溶解氧饱和率则是夏秋季节最高,冬季最低。溶解氧浓度的季节变化与水温显著负相关,而溶解氧饱和率的季节变化和水温、pH显著正相关;溶解氧浓度及饱和率的年际变化与水质主要指标均不存在显著相关关系。受高海拔低气压影响,虽然采取了大气压和温度补偿校准,但泸沽湖溶解氧浓度仍不易达到Ⅰ类水质标准限值(7.5 mg/L);而优良的水质加之茂盛的水生植被使得其溶解氧饱和率长期处于较高水平,可以达到Ⅰ类标准限值(90%)。因此,在自然环境特征类似于泸沽湖的水质优良高原湖泊,优先以饱和率作为溶解氧的评价指标更为合理。     

Nitric oxide and nitrous oxide emission from Hungarian forest soils; linked with atmospheric N-deposition

Studies of forest nitrogen (N) budgets generally measure inputs from the atmosphere in wet and dry deposition and outputs via hydrologic export. Although denitrification has been shown to be important in many wetland ecosystems, emission of N oxides from forest soils is an important, and often overlooked, component of an ecosystem N budget. During 1 year (2002–03), emissions of nitric oxide (NO) and nitrous oxide (N₂O) were measured from Sessile oak and Norway spruce forest soils in northeast Hungary. Accumulation in small static chambers followed by gas chromatography-mass spectrometry detection was used for the estimation of N₂O emission flux. Because there are rapid chemical reactions of NO and ozone, small dynamic chambers were used for in situ NO flux measurements. Average soil emissions of NO were 1.2 and 2.1 μg N m⁻² h⁻¹, and for N₂O were 15 and 20 μg N m⁻² h⁻¹, for spruce and oak soils, respectively. Due to the relatively high soil water content, and low C/N ratio in soil, denitrification processes dominate, resulting in an order of magnitude greater N₂O emission rate compared to NO. The previously determined N balance between the atmosphere and the forest ecosystem was re-calculated using these soil emission figures. The total (dry+wet) atmospheric N-deposition to the soil was 1.42 and 1.59 g N m⁻² yr⁻¹ for spruce and oak, respectively, while the soil emissions are 0.14 and 0.20 g N m⁻² yr⁻¹. Thus, about 10–13% of N compounds deposited to the soil, mostly as and , were transformed in the soil and emitted back to the atmosphere, mostly as greenhouse gas (N₂O).     

长期施磷的产量效应及其环境风险评价

基于太湖地区8 a的长期试验,应用常规化学分析法和数学统计方法,研究了不同施肥方式即单施化肥(NPK)、化肥配施稻麦全量秸秆还田(NPK+S)、无机肥配施鲜猪粪7.5 t.(hm2.a)-1(NPK+M7.5)及无机肥配施鲜猪粪15.0 t.(hm2.a)-1(NPK+M15)对稻麦轮作农田的作物产量、土壤各形态磷的累积及其潜在环境效应的影响.结果表明,在单施无机磷肥基础上,无论是秸秆全量还田还是配施不同量的猪粪,稻麦均没有显著增产;长期以常规无机磷肥用量配施猪粪,其土壤Olsen-P、Mehlich3-P、草酸盐磷(Pox)、CaCl2-P、水浸提磷(WEP)、总磷(TP)及土壤磷饱和度(degree of P saturation,DPS)等均显著增加,且配施猪粪量越大,各形态磷的累积量越大,土壤积累磷的环境风险越高;长期在常规无机磷肥用量基础上进行全量秸秆还田,与秸秆不还田处理相比,土壤各形态磷并无显著累积.综合考虑稻麦的产量效应、土壤磷库表观收支平衡、磷素长期累积的环境风险及经济效益等,在本研究区域目前的土壤环境条件下,常规磷肥施用量(45 kg·hm-2)基础上进行全量秸秆还田这一施肥方式是值得推荐的.     

表征全吸力范围的土壤水分特征曲线模型评估及其转换函数构建

基于非饱和土壤水力性质数据库（UNSODA）中选取的从砂土到黏土共256个土壤样本,系统性地评价了表征全吸力范围的土壤水分特征曲线模型（LIAO模型）的适用性,并构建和验证了预测LIAO模型参数的土壤转换函数（PTFs）。结果表明：（1）与传统的van Genuchten模型（仅适用于描述毛管水运动）相比,LIAO模型对不同质地土壤水分特征曲线的预测精度更高,均方根误差（RMSE）降低了约45%;（2）LIAO模型参数与土壤基本性质（如砂粒、粉粒、黏粒、有机质含量和容重）之间存在不同程度的相关性,其中参数θ_s与容重的相关性（r=-0.783,P<0.01）最强,而其余参数与粉粒的相关程度最高;（3）基于逐步回归方法构建的PTFs能够解释LIAO模型参数总变异的31%~65%,其中对θ_s的预测精度最高,经双交叉验证表明PTFs稳定性较好。研究成果可为区域（尤其是干旱和半干旱地区）土壤水文模型提供参数支持。