四川前兆钻孔应变观测数据质量影响因素分析

钻孔应变观测的目的是为地震预测及地震科学研究提供高质量的观测数据,台站钻孔应变观测受到不同外界因素干扰时,观测数据的完整率和观测数据内精度也会不同程度地受到影响,对各种干扰因素的认识、分析、排除,是提高观测数据质量最好、也是最有效的途径。     

丰满台水管仪记录到的8级大地震前兆波特征浅析

总结了丰满台水管仪两个测项在4次≥8级大震前记录的前兆波,对其特征进行初步分析,认为可能是断层预滑或断裂预扩展产生的,可能是大地震孕育过程中的一种反应,对大震的预报有一定的参考意义。通过对前兆波特征的深入研究可以为地震预测提供有力的依据。     

Rainfall‐induced consolidation and sealing effects on soil erodibility during concentrated runoff for loess‐derived topsoils

Flume experiments simulating concentrated runoff were carried out on remolded silt loam soil samples (0·36 × 0·09 × 0·09 m³) to measure the effect of rainfall‐induced soil consolidation and soil surface sealing on soil erosion by concentrated flow for loess‐derived soils and to establish a relationship between soil erodibility and soil bulk density. Soil consolidation and sealing were simulated by successive simulated rainfall events (0–600 mm of cumulative rainfall) alternated by periods of drying. Soil detachment measurements were repeated for four different soil moisture contents (0·04, 0·14, 0·20 and 0·31 g g^?1). Whereas no effect of soil consolidation and sealing is observed for critical flow shear stress (τ_cr), soil erodibility (Kc) decreases exponentially with increasing cumulative rainfall depth. The erosion‐reducing effect of soil consolidation and sealing decreases with a decreasing soil moisture content prior to erosion due to slaking effects occurring during rapid wetting of the dry topsoil. After about 100 mm of rainfall, Kc attains its minimum value for all moisture conditions, corresponding to a reduction of about 70% compared with the initial Kc value for the moist soil samples and only a 10% reduction for the driest soil samples. The relationship estimating relative Kc values from soil moisture content and cumulative rainfall depth predicts Kc values measured on a gradually consolidating cropland field in the Belgian Loess Belt reasonably well (MEF = 0·54). Kc is also shown to decrease linearly with increasing soil bulk density for all moisture treatments, suggesting that the compaction of thalwegs where concentrated flow erosion often occurs might be an alternative soil erosion control measure in addition to grassed waterways and double drilling. Copyright © 2007 John Wiley & Sons, Ltd.     

Intercomparison of the total storage deficit index (TSDI) over two Canadian Prairie catchments

Retrieval of the terrestrial moisture storage dataset from the Gravity Recovery and Climate Experiment (GRACE) satellite remote sensing system is possible when the catchment of interest is of large spatial scale. These dataset are of paramount importance for the estimation of the total storage deficit index (TSDI), which enables the characterization of a particular drought event from the perspective of the terrestrial moisture storage over that catchment. Incidentally, the GRACE gravity signal over the 13,000 km² Upper Assiniboine River Basin on the drought-prone Canadian Prairie is so poor therefore making the computation of the total storage deficit index for this basin infeasible. Consequently, the estimation of the terrestrial moisture storage from other reliable sources becomes imperative in order to enable the computation of the TSDI over this basin.This study explores the utilization of the Variable Infiltration Capacity (VIC) model, a physically based, spatially distributed hydrologic model to simulate the total moisture storage over the Upper Assiniboine River Basin which was then employed in the estimation of the TSDI over this basin for subsequent characterization of the recent Prairie-wide drought. Interestingly, the temporal patterns in the computed TSDI from the VIC model reveal a strong resemblance with the same drought characterization undertaken over the larger adjacent Saskatchewan River Basin, which was accomplished utilizing terrestrial moisture storage from the GRACE-based approach. Additionally, these independent techniques employed in the characterization of the last Prairie drought over the two adjacently situated basins resulted in similar drought severity classification from the standpoint of the total moisture storage deficits over these basins. This study has therefore shown that in the computation of the total storage deficit index over small-scale catchments during anomalous climatic conditions that propagate extreme dryness through the terrestrial hydrologic systems, simulations of the total water storage from a structurally sound model such as the VIC model could be resourceful for the computation of the monthly total storage deficit index if no constraint is placed on the availability of accurate meteorological forcing.     

Passive L-band microwave soil moisture retrieval error arising from topography in otherwise uniform scenes

Soil moisture is an important component of the water cycle and will be measured for the first time on a global scale by a dedicated passive L-band microwave radiometer that is planned for launch in 2008. Here, the contribution of topography to the error budget is examined for a vegetated scene with uniform microwave emission. Dual-polarization brightness temperature curves were generated over a range of look angles for 1-D scenes with simple geometrical features, and the soil moisture was retrieved assuming a flat surface. The errors were small for the scenarios considered. Theoretical errors were tested for realistic topography with a DEM transect of a mountainous region, and were found to be comparable. Knowledge of the mean slope from high-resolution DEM data can be used to improve the accuracy of the retrieval.     

非饱和土壤水分运动参数的确定——以河南驻马店亚粘土为例

土壤水分运动参数的选取和确定是研究包气带中水分贮存和运动的基础.本文以河南驻马店亚粘土为例,进行了非饱和土壤水分运动参数的测定.通过将实测数据与经验模型拟合,将实验结果、计算结果和拟合结果进行了对比分析,发现所用的经验模型与实际数据吻合较好.研究结果表明选用的经验模型是可靠的,从而确定了土壤水分运动最优参数.     

古尔班通古特沙漠南部沙垄水分动态--兼论积雪融化和冻土变化对沙丘水分分异作用

2004年3月至2005年7月对古尔班通古特沙漠南部典型半固定沙垄土壤水分进行了系统监测,结合气象资料,特别是对冬季积雪和冻土资料的分析,认为该沙漠沙丘土壤水分时空变化规律在很大程度上受积雪融化和季节性冻土的影响.由于冬季稳定存在20~30 cm的积雪于春季融化,使得春季沙丘土壤含水率成为全年最高的季节,从而为早春植物的萌发生长创造了有利的条件.冬季1 m多深的冻土于早春时节由表及里开始消融,沙丘表面融化的雪水在坡面重力作用下,沿难以透水的冻土层上界自坡上向坡下发生迁移,在春夏季形成了垄间最高、坡部次之和垄顶最少的土壤水分空间格局.该研究具有生态学意义,可为古尔班通古特沙漠特殊环境条件下植被恢复与重建提供依据.     

大兴安岭多年冻土泥炭地无机氮动态对秋季冻融的响应北大核心CSCD

大兴安岭多年冻土泥炭地是对全球变暖响应敏感的地区之一。在全球变暖、多年冻土退化背景下,为了探明秋季冻融对多年冻土泥炭地无机氮时空变化的影响,本研究于2019年9—11月以大兴安岭三种多年冻土泥炭地为研究对象进行野外原位实验,分析了秋季冻融前、中和后期多年冻土泥炭地浅层和深层土壤无机氮的时空变化特征以及浅层和深层土壤含水量和温度的变化规律,建立了土壤无机氮含量与土壤温度和含水量间的多元线性回归模型。研究表明:多年冻土小叶章泥炭地(XY)、兴安落叶松-泥炭藓泥炭地(XA)和白毛羊胡子苔草泥炭地(BM)的土壤铵态氮(NH_(4)^(+)-N)含量变化范围:(1.00±0.00)~(20.60±0.20)mg·kg^(-1),硝态氮(NO_(3)^(-)-N)含量的变化范围:(0.02±0.01)~(14.64±1.11)mg·kg^(-1),且无机氮以土壤NH_(4)^(+)-N为主;秋季冻融后期无机氮含量明显高于前期。尽管水热交互作用对该时期无机氮没有显著影响,但是在不同冻融阶段,无机氮对环境因子的响应程度存在差异:在秋季冻融前、中和后期浅层无机氮动态分别与浅层温度和含水量的变化相关,但在整个秋季冻融期间BM浅层无机氮含量仅对10~20 cm含水量存在响应(R^(2)=0.344,P<0.01)。研究表明,秋季冻融期内,多年冻土泥炭地无机氮发生初步累积,且浅层环境因子对无机氮响应程度最大。本研究可补充大兴安岭多年冻土泥炭地秋季冻融对土壤无机氮影响研究的相关数据,并为多年冻土泥炭地响应全球变暖的温室气体释放的研究提供基础数据支撑。     

BIFoR FACE: Water–soil–vegetation–atmosphere data from a temperate deciduous forest catchment,including under elevated CO2

The ecosystem services provided by forests modulate runoff generation processes, nutrient cycling and water and energy exchange between soils, vegetation and atmosphere. Increasing atmospheric CO₂ affects many linked aspects of forest and catchment function in ways we do not adequately understand. Global levels of atmospheric CO₂ will be around 40% higher in 2050 than current levels, yet estimates of how water and solute fluxes in forested catchments will respond to increased CO₂ are highly uncertain. The Free Air CO₂ Enrichment (FACE) facility of the University of Birmingham's Institute of Forest Research (BIFoR) is the only FACE in mature deciduous forest. The site specializes in fundamental studies of the response of whole ecosystem patches of mature, deciduous, temperate woodland to elevated CO₂ (eCO₂). Here, we describe a dataset of hydrological parameters – seven weather parameters at each of three heights and four locations, shallow soil moisture and temperature, stream hydrology and CO₂ enrichment – retrieved at high frequency from the BIFoR FACE catchment.     

Role of time variant and invariant terms on soil moisture spatio-temporal variability in a subhumid coastal wetland

The knowledge of soil moisture spatio-temporal variability is highly relevant for water resources management. This paper reports an analysis of the spatial–temporal variability of soil moisture data for a small to medium-scale soil-sensors network in a coastal wetland of southwestern Spain. Measurements were taken from five sites located in the Doñana National Park over the time-period of one hydrological year from September 2017 to September 2018. The total area of the soil-sensors network shows an extension about 25 × 3 km. Soil moisture data was separated into time invariant (the temporal mean of the whole period at each site) and time-variant terms (the deviations of soil moisture from the mean, or anomalies). The time-invariant component was generally the main contributor to the total spatial variance of soil moisture and it was mostly controlled by the groundwater levels in the area. Nevertheless, the time variant terms have a huge effect on soil moisture variability in very dry states. Characteristic convex time-dependent patterns for this field site were found between spatially averaged soil moisture and its variability. This information could be used for the up and downscaling of soil moisture from satellite data. Those patterns of relation between spatial mean and variability of soil moisture were only affected by heavy rainfalls giving rise to hysteretic behaviour. This study shows that even though groundwater level is a time-variant variable, it significantly affects soil moisture's time-variant but also time-invariant terms due to the different average groundwater level depths at the different sites.