小兴安岭针叶凋落物的分解与土壤动物的作用

应用不同网孔分解样袋、排除不同类型土壤动物的作用的方法,对比研究土壤动物对针对凋落物的分解作用,结果表明,在各类土壤动物作用下的大孔网袋样品的分解速度明显快于只有中小型土壤动物作用的中孔网的分解样品,快于尽量排除土壤动物作用条件下的小孔网袋的分解洋;凋落物分解过程中,凋落物失重量与土壤动物个体数量之间的相关性不明显,土壤动物对质地较软的凋落物作用程度较质地较硬的凋落物高;土壤动物的多样性指数分析表明,土壤动物的多样性随样品分解时间的增长无明显的规律性变化。     

放射性核素137Cs在示踪土壤侵蚀研究中的应用

近几十年来,土壤侵蚀日益加剧,伴随着土地质量的退化,已成为影响区域可持续发展的主要环境问题。利用放射性核素137Cs进行土壤侵蚀研究能够简便、快速、准确地获取土壤流失、沉积和空间重新分布等详细信息。从元素来源、空间分布、背景值、示踪原理、活度测定、转换模型等方面对该方法进行了详细描述,在总结其优缺点的基础上,对其未来的发展方向做出了展望。     

土壤湿度观测、模拟和估算研究

总结土壤湿度的观测手段和土壤湿度数据集建立的现状,详细阐述与土壤湿度模拟有关的方程离散化求解、物理和生化过程、陆面过程模式比较和陆面模式参数优化等方面的研究进展;综述估算土壤湿度廓线的数据同化方法,仔细比较集合卡曼滤波(EnKF)和四维变分(4-D Var)2类目前流行的同化算法,并对估算土壤湿度廓线的研究工作进行全面评估;最后,对土壤湿度观测、模拟和同化中需继续努力的方向进行了思索和展望。     

刈割+水淹治理互花米草技术对湿地土壤性状及其有机碳含量的影响

为了监测刈割+水淹+种植秋茄综合治理互花米草对土壤理化特征的影响,于治理前、治理1个月后、治理8个月后采集治理区和对照区(互花米草样地)土壤,测定土壤有机碳含量等理化指标。结果表明,整个治理过程中,互花米草治理区和对照区各土壤层pH值无显著性差异(P>0.05),治理过程未造成土壤pH值的变化;治理区表层土壤(0～10cm)土壤密度显著高于对照区,其他土层则无显著差异(P>0.05),治理过程导致表层土壤板结,土壤密度增大;此外,治理1个月后,治理区表层土壤(0～10cm)有机碳显著高于对照区(P<0.05),治理8个月后则显著低于对照区(P<0.05),治理措施导致土壤表层土壤有机碳含量先增加后降低。总之,刈割+水淹+种植秋茄综合治理互花米草对湿地表层土壤有机碳含量等产生一些影响。     

渍害遥感识别的基本原理与方法

本文论述了渍害遥感识别的主要标志，通过土壤热惯量、土壤含水量及土壤温度等渍害相关因子的讨论，阐明了渍害遥感识别的基本原理及几种主委方法。由于渍害涉及诸多因素，本文给出了以地学相关分析为基础的渍害判别模型。本研究表明，用遥感方法研究渍害是切实可行的。     

城市热岛效应对土的工程性质影响及灾害效应分析

随着世界各国,尤其我国的城市化进程的不断加快,城市规模不断扩大,城市中高层建筑的密度越来越高,城市热岛效应（UHIE）及其带来的各类环境问题日益突出。对于城市热岛效应的研究目前主要集中在城市范围内的大气部分,对于它对城市赖于存在的地质环境的影响研究很少,而对土的工程性质的影响及其灾害效应常被忽视。从UHIE与城市地下土体工程性质间的关系出发,介绍了UHIE的成因和发展程度,剖析了城市环境中的土体与自然环境中土体的差别以及UHIE影响土体工程性质的方式,初步分析了UHIE对土的工程性质的影响及其引起的灾害效应。分析成果对于开展城市热岛效应环境中土的工程性质变化及其灾害效应研究有重要的指导意义。     

On Transpiration and Soil Moisture Content Sensitivity to Soil Hydrophysical Data

Sensitivity of evapotranspiration E and root zone soil moisture content θ to the parameterization of soil water retention Ψ(θ) and soil water conductivity K(Ψ), as well as to the definition of field capacity soil moisture content, is investigated by comparing Psi1-PMSURF and Theta-PMSURF models. The core of PMSURF (Penman–Monteith Surface Fluxes) consists of a 3-layer soil moisture prediction module based on Richard’s equation in combination with the Penman–Monteith concept for estimating turbulent heat fluxes. Psi1- PMSURF and Theta-PMSURF differ only in the parameterization of the moisture availability function F_ma. In Psi1,F_ma is parameterized by using Ψ(θ) and K(Ψ) hydrophysical functions; in Theta, F_ma is parameterized by using hydrophysical parameters: the field capacity θ_f and wilting point θ_w soil moisture contents. Both Psi1 and Theta are based on using soil hydrophysical data, that is, there is no conceptual difference between them in the parameterization of E even if in Psi1F_ma depends on 12 parameters, while in Theta only on two soil/vegetation parameters. Sensitivity tests are performed using the Cabauw dataset. Three soil datasets are used: the vG (van Genuchten), CH/vG (Clapp and Hornberger/van Genuchten) and CH/PILPS (Clapp and Hornberger/Project for Intercomparison of Land-surface Parameterization Schemes) datasets. The vG dataset is used in van Genuchten’s parameterization, while in Clapp and Hornberger’s the CH/vG and CH/PILPS datasets are used. It is found that the consistency of soil hydrophysical data in the simulation of transpiration is quite important. The annual sum of E obtained by Psi1E^Psi1, differs from the annual sum of E obtained by Theta, E^Theta, because of the inconsistency between the fitting parameters of Ψ(θ) and K(Ψ) and the θ_f, and not because of the differencies in the parameterization of F_ma. Further, θ_f can be estimated not only on the basis of using soil hydrophysical functions (the θ_f so obtained is θ^Soil_f) but also on the basis of analysing the transpiration process (the θ_fso obtained is θ^tr_f). θ^tr_f values estimated from the condition E^Theta ≈ E^Psi1 are in acceptable accordance with the θ^Soil_f values proposed by Wösten and co-workers. The results are useful in optimizing the parameterization of transpiration in land-surface schemes.     

Long-term SMOS soil moisture products: A comprehensive evaluation across scales and methods in the Duero Basin (Spain)

The European Space Agency’s Soil Moisture and Ocean Salinity (SMOS) Level 2 soil moisture and the new L3 product from the Barcelona Expert Center (BEC) were validated from January 2010 to June 2014 using two in situ networks in Spain. The first network is the Soil Moisture Measurement Stations Network of the University of Salamanca (REMEDHUS), which has been extensively used for validating remotely sensed observations of soil moisture. REMEDHUS can be considered a small-scale network that covers a 1300 km² region. The second network is a large-scale network that covers the main part of the Duero Basin (65,000 km²). At an existing meteorological network in the Castilla y Leon region (Inforiego), soil moisture probes were installed in 2012 to provide data until 2014. Comparisons of the temporal series using different strategies (total average, land use, and soil type) as well as using the collocated data at each location were performed. Additionally, spatial correlations on each date were computed for specific days. Finally, an improved version of the Triple Collocation (TC) method, i.e., the Extended Triple Collocation (ETC), was used to compare satellite and in situ soil moisture estimates with outputs of the Soil Water Balance Model Green-Ampt (SWBM-GA). The results of this work showed that SMOS estimates were consistent with in situ measurements in the time series comparisons, with Pearson correlation coefficients (R) and an Agreement Index (AI) higher than 0.8 for the total average and the land-use averages and higher than 0.85 for the soil-texture averages. The results obtained at the Inforiego network showed slightly better results than REMEDHUS, which may be related to the larger scale of the former network. Moreover, the best results were obtained when all networks were jointly considered. In contrast, the spatial matching produced worse results for all the cases studied.These results showed that the recent reprocessing of the L2 products (v5.51) improved the accuracy of soil moisture retrievals such that they are now suitable for developing new L3 products, such as the presented in this work. Additionally, the validation based on comparisons between dense/sparse networks and satellite retrievals at a coarse resolution showed that temporal patterns in the soil moisture are better reproduced than spatial patterns.     

Use of magnetic measures to assess soil redistribution following deforestation in hilly region

Limited information is available about the use of magnetic susceptibility property to determine soil redistribution in hilly areas of the semi-arid regions. This study was conducted to evaluate the use of magnetic properties to determine soil redistribution along a hill slope following deforestation. The study area is located in the Quaternary hilly region of Lordegan district in west Iran. Ten transects were established in two land uses that included natural Querqus forested and cultivated lands. Soil samples were collected at different positions along the slope and magnetic properties (χlf, χhf, SIRM, ARM, and χfd) and selected physico-chemical properties were determined. The results (based on the χfd, SIRM/ARM) showed that the magnetic susceptibly in the calcareous materials is pre-dominantly derived during the pedogenic processes and the superparamagnetic particles which were transported to lower positions of hill slope following deforestation. The results confirmed that this methodology could be applied for monitoring soil redistribution along the slope in calcareous hilly areas in the semi-arid regions.