基于表观热惯量的土壤水分监测

土壤水分含量是监测农业干旱的重要指标, 遥感法是大面积监测土壤水分时空特征的主要方法, 热惯量法是遥感方法监测土壤水分的主要研究手段之一。本文提出了一个改进的表观热惯量模型计算表观热惯量, 并通过地面验证试验对该模型的适用性进行了分析。在中国科学院栾城农业生态系统试验站, 通过严格的控制试验, 设计了10 个不同植被覆盖、不同土壤水分含量的试验小区, 针对表观热惯量的适用条件, 利用实测的地表温度、植被指数、反照率、太阳辐射等参数计算了不同植被覆盖不同土壤水分含量下的表观热惯量,并与土壤体积含水量进行了相关和回归分析。结果表明: 在植被覆盖度较低情况下[归一化植被指数(normalized difference vegetation index, NDVI)<0.35], 表观热惯量法具有较好的效果, 表观热惯量与土壤体积含水量之间的相关系数大于0.7, 通过了95%的显著性检验, 两者具有很高的相关性, 可以用热惯量法监测土壤水分状况; 在较高植被覆盖情况下(NDVI>0.35), 表观热惯量与土壤体积含水量之间没有相关性, 热惯量法监测土壤水分失效; NDVI 为0.35 可以作为热惯量法监测土壤水分状况是否可行的判断条件。     

我国土壤水分遥感监测中热惯量模式的研究现状与进展

简要介绍了土壤水分热红外遥感监测的热惯量模主国外在这一方面所取得的主要成果,阐述了我国利用热惯量模式监测土壤水分的应用性试验的现状,以及在模式研究方面所取得的进展。     

Vulnerability of Bavarian silty loam soil to compaction under heavy wheel traffic: impacts of tillage method and soil water content

Soil compaction caused by traffic of heavy vehicles and machinery has become a problem of world-wide concern. The aims of this study were to evaluate and compare the changes in bulk density, soil strength, porosity, saturated hydraulic conductivity and air permeability during sugar beet (Beta vulgaris L.) harvesting on a typical Bavarian soil (Regosol) as well as to assess the most appropriate variable factors that fit with the effective controlling of subsequent compaction. The field experiments, measurements and laboratory testing were carried out in Freising, Germany. Two tillage systems (conventional plough tillage and reduced chisel tillage) were used in the experiments. The soil water contents were adjusted to 0.17 g g⁻¹ (w₁), 0.27 g g⁻¹ (w₂) and 0.35 g g⁻¹ (w₃).Taking the increase in bulk density, the decrease in air permeability and reduction of wide coarse pore size porosity (−6 kPa) into account, it seems that CT (ploughing to a depth of 0.25 m followed by two passes of rotary harrow to a depth 0.05 m) of plots were compacted to a depth of at least 0.25 m and at most 0.40 m in high soil water (w₃) conditions. The trends were similar for “CT w₁” (low soil water content) plots. However, it seems that “CT w₁” plots were less affected than “CT w₃” plots with regard to bulk density increases under partial load. In contrast, diminishments of wide coarse pores (−6 kPa) and narrow (tight) coarse pores (−30 kPa) were significantly higher in “CT w₁” plots down to 0.4 m. Among CT plots, the best physical properties were obtained at medium soil water (w₂) content. No significant increase in bulk density and no significant decrease in coarse pore size porosity and total porosity below 0.2 m were observed at medium soil water content. The soil water content seemed to be the most decisive factor.It is likely that, CS (chiselling to a depth of 0.13 m followed by two passes of rotary harrow to a depth 0.05 m) plots were less affected by traffic treatments than CT plots. Considering the proportion of coarse pore size porosity (structural porosity) and total porosity, no compaction effects below 0.3 m were found. Medium soil water content (w₂) provides better soil conditions after traffic with regard to wide coarse pore size porosity (−6 kPa), air permeability (at 6 and 30 kPa water suction), total porosity and bulk density. Proportion of wide coarse pores, air permeability and bulk density seems to be suitable parameters to detect soil compaction under the conditions tested.     

Evaluation of nine major satellite soil moisture products in a typical subtropical monsoon region with complex land surface characteristics

Assessing accuracies of satellite soil moisture (SM) products in areas with strong anthropogenic activities, abundant precipitation, and dense vegetation is important but limited. In this study, performances of nine satellite SM products, including the European Space Agency Climate Change Initiative (ESA CCI), and the ascending and descending products of the Advanced Microwave Scanning Radiometer 2 (AMSR2), Chinese Fengyun-3B (FY3B), Chinese Fengyun-3C (FY3C), and Soil Moisture Active Passive (SMAP), were evaluated against in-situ SM in the Yangtze River Delta (YRD) from 2015 to 2018. Results showed that the ESA CCI outperformed other products, with averaged correlation coefficient (R) of 0.522, correlation coefficient for SM anomalies (R_ano) of 0.419, and unbiased root mean square error (ubRMSE) of 0.040 m³ m^?3, followed by the SMAP_A and SMAP_D. Overestimation was observed in the AMSR2 products (Bias >0.081 m³ m^?3), while underestimation was found in the FY3B and FY3C products (Bias < ?0.104 m³ m^?3). Moreover, R values decreased with the increase in water area percentage (WAP), land cover heterogeneity (GSI), fractional vegetation cover (FVC), and precipitation (PRE). Threshold values were observed at 3% for the WAP, 0.05 for the FVC, and 900 mm yr^?1 for the PRE, below which sharp declines of accuracy were observed. The WAP, GSI, and FVC were divided into five sub-classes with their values increasing with the sub-class level (I to V). Correlations coefficients between these perturbing factors and R (correlation between satellite and in-situ SM) increased as sub-class levels increased. Under sub-classes I, II, and III, these three factors had limited influences on accuracies of satellite SM products. However, under sub-classes IV and V, significant impacts of these three perturbing factors were observed. Moreover, when sub-classes of the PRE increased from I to V, correlations between Bias and PRE decreased first and then increased. These findings can help to determine suitable satellite SM products in the YRD and similar areas.     

The effect of initial soil water content and rainfall intensity on near-surface soil hydrologic conductivity: A laboratory investigation

This paper investigates the influence of rainfall intensity and initial soil water content on changes in the near-surface soil hydraulic conductivity. While numerous papers have examined surface sealing, this paper outlines two important innovations: the design and application of time-domain reflectometry probes with the ability to measure and record soil water content at very short time and length scales; the design and application of stainless steel tensiometers to measure soil water potential at the same, very short, time and length scales. These permit the Richards Equation to be applied and the near-surface hydraulic conductivity computed. An exponential curve was fitted to the temporal changes in hydraulic conductivity, as both a function of water potential or soil water content, with a high degree of fit. As rainfall intensity increased, the degree of scatter about the best-fit line increased, probably due to the ability of high intensity rainfall to disrupt the near-surface soil structure. While utilising deterministic models, such as the Richards Equation, may be appropriate at the column scale there are practical difficulties due to the very small length scale variability in each of the input variables. The experimental results detailed here indicate that even with data at very short time and length scales it is still not possible to utilize the Richards Equation, or at least, it may be difficult to transfer the laboratory results to the field due to the effect of the specific laboratory experimental conditions on the results.     

Using sequential Gaussian simulation to assess the field-scale spatial uncertainty of soil water content

Soil water content (SWC) has a vital role in a variety of hydrological processes such as infiltration, runoff and erosion. Mapping the spatial pattern of SWC is then essential for appropriate addressing of these processes. Geostatistics is often used to characterize the spatial variability of SWC. This information may be used for estimating SWC e.g., by ordinary kriging (OK) or modeling location-specific uncertainty (local uncertainty) of the estimates by indicator kriging (IK). Kriging-based algorithms however smooth out the details and are incapable of detecting multi-location uncertainty (spatial uncertainty) of SWC estimates. Sequential Gaussian simulation (sGs) can model the spatial uncertainty through generation of several equally probable stochastic realizations. In this study sGs is used to map SWC spatial distribution and to provide a quantitative measure of its spatial uncertainty in particular. The SWC measurements were performed on 157 soil samples taken from an 18 ha erosion experiment field in Lower Austria. The results show that the spatial pattern of SWC is well recognized using the sGs as the simulated models reproduce the sample statistics including histogram and semivariogram model reasonably well. The difference among realizations is used to provide a quantitative measure of spatial uncertainty of SWC estimates. Knowledge of spatial uncertainty is helpful to evaluate the delineation of vulnerable areas to erosion.     

应用Wenner结构原理估计沙地松树人工林土壤含水量

To estimate the mean value of surface soil water content rapidly, accurately, and nonintrusively, field investigations on soil electrical resistivity （SER） with the Yokogawa 324400 earth resistivity meter and the surface （0-150 cm） soil water content （SWC） with time domain reflectometry （TDR）, together with the abiotic factors including soil texture, structure, and salinity concentrations were conducted in the Mongolian pine （Pinus sylvestris var. mongolica） plantations on a sandy land. The measurement of SER was based on the 4-probe Wenner configuration method. Relationships between the values of SWC and SER were obtained based on analysis of the abiotic factors of the research site, which play a key role in affecting the soil electrical resistivity. Results indicate that the SER meter could be used to estimate the mean value of SWC in the Mongolian pine plantations on the sandy land during the growing seasons. The bulky nature of the equipment simplified the cumbersome measurements of soil water content with the general methods. It must be noted that the Wenner configuration method could only provide the mean values of the SWC, and the soil texture, structure, temperature, and solute concentrations influenced the SER and further affected the estimation of the SWC by the SER meter. Therefore, the results of this study could be applied on a sandy land during the growing seasons only. However, the SWC of other soil types also may be obtained according to the individual soil types using the procedures of this study.     

喀斯特地区洼地剖面土壤含水率的动态变化规律

本文基于连续2年土壤水分的定位监测数据,分析探讨了喀斯特地区不同地质背景(纯灰岩与白云质灰岩)洼地剖面(0～90 cm)土壤含水率的动态变化规律。结果表明:洼地剖面土壤含水率总体较高,且从表层到深层表现为增长型;2009年和2010年土壤含水率的变化均具有明显的分层现象,从上到下依次为活跃层、次活跃层、相对稳定层,但均无速变层,不同地质背景的具体分层略有差异;活跃层和次活跃层集中分布在浅层土壤层,相对稳定层较厚,对应着较差的水文调蓄功能,洼地土壤的水分调蓄功能可能会因其相对较深厚(80～100 cm)的土层而被高估。受降雨、蒸发及植物蒸腾等因素的影响,土壤储水量具有明显的动态变化特征,一年中可分为相对稳定期、消耗期和补给期3个阶段,而土壤水分亏缺的补偿和恢复,主要依靠强度适中、历时较长且雨量较大的降雨,微雨和暴雨的作用较小。     

山东省水土保持区划探讨

本文对山东省水土保持区划工作进行了探讨。作者根据全省自然条件、社会经济情况, 影响土壤侵蚀的诸因子, 及水土流失现状等综合因素, 提出了山东省水土保持区划原则, 并依据分区原则, 在水利部统一划分一级区、二级区的前提下, 将全省共划分3个三级区、12个三级亚区。     

Dependence of soil respiration on soil moisture, clay content, soil organic matter, and CO2 uptake in dry grasslands

The effects of abiotic and biotic drivers on soil respiration (R_s) were studied in four grassland and one forest sites in Hungary in field measurement campaigns (duration of studies by sites 2-7 years) between 2000 and 2008. The sites are within a 100 km distance of each other, with nearly the same climate, but with different soils and vegetation. Soil respiration model with soil temperature (T_s) and soil water content (SWC) as independent variables explained larger part of variance (range 0.47-0.81) than the Lloyd and Taylor model (explained variance: 0.31-0.76). Direct effect of SWC on R_s at much smaller temporal and spatial scale (1.5 h, and a few meters, respectively) was verified.Soil water content optimal for R_s (SWC_opt) was shown to significantly (positively) depend on soil clay content, while parameter related to activation energy (E₀) was significantly (negatively) correlated to the total organic carbon content (TOC) in the upper 10 cm soil layer. Dependence of model parameters on soil properties could easily be utilized in models of soil respiration. The effect of current (a few hours earlier) assimilation rates on soil respiration after removing the effect of abiotic covariates (i.e. temperature and water supply) is shown. The correlation maximum between the R_s residuals (R_{s_res}, from the R_s (SWC, T_s) model) and net ecosystem exchange (NEE) was found at 13.5 h time lag at the sandy grassland. Incorporating the time-lagged effect of NEE on R_s into the model of soil respiration improved the agreement between the simulated vs. measured R_s data. Use of SWC_opt and E₀ parameters and consideration of current assimilation in soil respiration models are proposed.     

Study of soil respiration and fruit quality of table grape (Vitis vinifera L.) in response to different soil water content in a greenhouse

ABSTRACT

To understand the response of grape (Hutai No.8) quality and soil respiration (R_s) to different soil relative water contents (SRWCs), this study was designed with three soil moisture levels (A: 80–95%, B: 60–75%, and C: 40–55% of SRWC) for grape cultivation. Meanwhile, environmental factors, including air temperature (T_a), air relative humidity, and light intensity, were also recorded. The results showed the following: (1) Through the comprehensive analysis of fruit quality by the method of subordinate function, we concluded that the optimum soil moisture treatment was 60–75% SRWC, and the soluble sugars, proanthocyanidin, and resveratrol were most abundant. In addition, vitamin C (Vc) content was the largest under C treatment. (2) Photosynthetic characteristic under high soil moisture was better than those under low soil moisture condition during grape coloring periods, and it was largest under A treatment in 2015. R_s rate was in accordance with the trend of grape photosynthesis. High soil moisture could accelerate the photosynthetic rate of grape leaves and increase R_s. (3) Correlation analysis showed that higher soil moisture and air humidity and lower soil temperature (T_s) and T_a could promote the accumulation of more nutrients in grape berries; it also could increase photosynthetic rate and R_s during grape coloring periods. In conclusion, 60–75% SRWC was the optimum soil moisture condition, which could improve the nutrient contents and accumulate more bioactive substances. Of course, keeping a lower T_s and T_a, as well as higher air humidity, was also necessary.

Abbreviations: SRWC: soil relative water content; A, 90-95% SRWC; B, 70-75% SRWC; C, 40-55% SRWC; Rs: soil respiration; Ta: air temperature; Ts: soil temperature; OPC: proanthocyanidin; TSS: total soluble solids.     

低频探地雷达地波法测定土壤含水量的可行性研究

利用地波法来探讨低频探地雷达(GPR)在土壤含水量测定方面的可行性。分别采用50 MHz和100 MHz天线的探地雷达地波法对黄淮海平原潮土地区砂壤土和砂土中的含水量进行了探测研究。结果表明,50 MHz天线GPR分辨率过低,在砂土和砂壤土中均无地波信号。100 MHz天线在砂壤土中无地波信号,但在砂土中可清晰读取出空气波和地波。TDR测得含水量为6.3%的砂土,用100 MHz天线地波法3次测定结果分别为5.9%,6.2%和6.5%,绝对误差均在0.4%以内。采用共中点法(CMP)和固定间距法(FO)相结合探测土壤含水量,在FO最佳天线间距1 m时测得灌水前后的砂土含水量分别为6.5%和20.2%,与TDR测定结果6.3%和19.7%相比,绝对误差在0.5%以内。100 MHz天线CMP和FO相结合的方法兼顾了CMP法读取地波的精确和FO法的快速便捷,在砂土的含水量测定应用中是可信、可行的。     

Plant biomass, soil water content and soil N:P ratio regulating soil microbial functional diversity in a temperate steppe: A regional scale study

Soil microorganisms are influenced by various abiotic and biotic factors at the field plot scale. Little is known, however, about the factors that determine soil microbial community functional diversity at a larger spatial scale. Here we conducted a regional scale study to assess the driving forces governing soil microbial community functional diversity in a temperate steppe of Hulunbeir, Inner Mongolia, northern China. Redundancy analysis and regression analysis were used to examine the relationships between soil microbial community properties and environmental variables. The results showed that the functional diversity of soil microbial communities was correlated with aboveground plant biomass, root biomass, soil water content and soil N: P ratio, suggesting that plant biomass, soil water availability and soil N availability were major determinants of soil microbial community functional diversity. Since plant biomass can indicate resource availability, which is mainly constrained by soil water availability and N availability in temperate steppes, we consider that soil microbial community functional diversity was mainly controlled by resource availability in temperate steppes at a regional scale.     

Laboratory evaluation of a model for soil crumbling for prediction of the optimum soil water content for tillage

A model for soil crumbling, called the capillary crumbling model (CCM) was introduced by Aluko and Koolen [Aluko, O.B., Koolen, A.J., 2000. The essential mechanics of capillary crumbling of structured agricultural soils. Soil Till. Res. 55, 117–126]. According to the CCM, the optimum soil water content for tillage (θ_OPT) may be defined as the water content at which the capillary bonding strength between aggregates is minimum. The objective of this study was to evaluate the CCM for the arable layer of 10 agricultural soils (sandy loam to clay textures) from semi-arid regions in western Iran. The results were compared with conventional soil workability limits such as 0.85 of the soil plastic limit (0.85θ_PL), Proctor critical water content (θ_Proctor), 0.6 or 0.7 of water content at matric suction of 50 hPa (0.6–0.7θ_50 hPa), and the Kretschmer optimum water content (θ_Kretschmer = θ_PL − 0.15(θ_LL − θ_PL)) where θ_LL is the soil liquid limit. Repacked soil cores were prepared from intact soil aggregates (0.50–4.75 mm) to 0.9 of the critical bulk density (to represent the soil conditions before tillage). Tensile strength and matric suction of the cores were determined at different soil water contents obtained by slow drying. The CCM provided evidence for the physics and mechanics of crumbling in the studied soils. It revealed that effective stresses are the dominant inter-aggregates forces, at least for the wet range of soil water content. A fall in strength of inter-aggregate bonds (i.e. tensile strength) was recorded due to water emptying from structural pores in a narrow range of matric suction (h_OPT) which was consistent with the model. With increasing soil organic matter and clay contents the fall became more distinct, indicating increased structural stability. The θ_OPT values determined by the CCM were found in the h_OPT range 551–612 hPa corresponding to 0.91–0.79θ_PL, which was in agreement with published values for the soil workability limit. Negative correlations between h_OPT and clay and organic matter contents clearly confirmed the increasing effect of soil structure on the enlargement of inter-aggregate pores. High correlations were observed between θ_OPT and 0.85θ_PL, θ_Proctor or 0.7θ_50 hPa. The results showed that the CCM might be recommended as a physically based method for the determination of θ_OPT. Considering the 1:1 relationships between θ_OPT and 0.85θ_PL or θ_Proctor, and easy determination of θ_PL and θ_Proctor, use of these indices is recommended in situations where the CCM is not applicable.     

Thermal destruction of soil water repellency and associated changes to soil organic matter as observed by FTIR spectroscopy

The heat generated during wildfires often leads to increases in soil water repellency. Above a critical heating threshold, however, its destruction occurs. Although the temperature thresholds for repellency destruction are relatively well established, little is known about the specific changes in the soil organic matter that are responsible for repellency destruction. Here we report on the analysis of initially water repellent surface soil samples (Dystric Cambisol, 0–5 cm depth) by transmission Fourier Transform Infrared (FTIR) spectroscopy analysis before and after destruction of its water repellency by heating to 225 °C in order to investigate heating-induced changes in soil organic matter (SOM) composition. Although assignment of absorption bands is made difficult by overlapping of some bands, it was possible to distinguish bands relevant for hydrophobicity of SOM in the soil before heat treatment. The most significant decrease in absorbance following water repellency destruction took place in the frequency area corresponding to stretching vibrations of aliphatic structures within SOM. The results suggest that besides a general decrease of SOM content during heating, the loss of soil water repellence is primarily caused by the selective degradation of aliphatic structures.     

Effects of soil water content during primary tillage – laser measurements of soil surface changes

Soil water content during tillage can have a large impact on soil properties and tillage outcome. Measurement of soil relief in relation to fixed elevation points provides a non-destructive method of monitoring loosening/compacting processes during the year. The main objective of this study was to determine the effect of soil water content during primary tillage on soil physical properties.

The treatments included mouldboard and chisel ploughing of a clay soil on three occasions in the autumn, with gradually increasing water content (0.76, 0.91 and 1.01 × plastic limit). Soil surface height was measured by laser within a 0.64 m² area from fixed steel plates after each tillage occasion, and before and after seedbed preparation in the following spring. The measurements of surface height were compared with measurements of other soil physical properties, such as bulk density, saturated hydraulic conductivity and seedbed properties.

Tillage at the lowest water content (0.76 × plastic limit) produced the greatest proportion of small aggregates, and generally the most favourable soil conditions for crop growth. Soil loosening, as measured by increase in soil height during primary tillage, was highest for mouldboard ploughing and for tillage at the lowest water content. Differences between tillage treatments decreased with time, but were still significant after sowing in the spring. Natural consolidation during winter was smaller than the compaction during seedbed preparation in the spring. No significant differences in bulk density were found between treatments, and thus soil surface height was a more sensitive parameter than bulk density determined by core sampling to detect differences between treatments.

Late tillage under wet conditions caused a greater roughness of the soil surface and the seedbed base, which was also found in the traditional seedbed investigation. The effect of tillage time on seedbed properties also resulted in a lower number of emerged plants in later tillage treatments.

The laser measurements were effective for studying changes in soil structure over time. The results emphasize the need to determine changes in soil physical properties for different tillage systems over time in order to model soil processes.     

Temporal stability in soil water content patterns across agricultural fields

When a field or a small watershed is repeatedly surveyed for soil water content, locations can often be identified where soil water contents are either consistently larger or consistently less than the study area average. This phenomenon has been called temporal stability, time stability, temporal persistence, or rank stability in spatial patterns of soil water contents. Temporal stability is of considerable interest in terms of facilitating upscaling of observed soil water contents to obtain average values across the observation area, improving soil water monitoring strategies, and correcting the monitoring results for missing data. The objective of this work was to contribute to the existing knowledge base on temporal stability in soil water patterns using frequent multi-depth measurements with Multisensor Capacitance Probes (MCPs) installed in a coarse-texture soil under multi-year corn production. Water contents at 10, 30, 50, and 80 cm depths were measured every 10 min for 20 months of continuous observation from May 2001 to December 2002. The MCPs revealed temporal stability in soil water content patterns. Temporal stability was found to increase with depth. The statistical hypothesis could not be rejected (P < 0.0001) that data collected each 10 min, each 2 h, each day, and each week had the same temporal stability. The locations that were best for estimating the average water contents were different for different depths. The best three locations for the whole observation period were the same as the best locations for a month of observations in about 60% of the cases. Temporal stability for a specific location and depth could serve as a good predictor of the utility of this location for estimating the area-average soil water content for that depth. Temporal stability could be efficiently used to correct area-average water contents for missing data. Soil water contents can be upscaled and efficiently monitored using the temporal stability of soil water content patterns.     

土壤重金属有效态含量检测与监测现状、问题及展望

随着经济和社会的发展,土壤重金属污染对粮食安全及人类的身体健康构成了巨大的威胁,而目前广泛采用的全量检测法并不能准确地反映土壤重金属的生物毒性。为了更好地了解土壤重金属的污染情况及其生物毒性,需快速有效检测土壤重金属的赋存形态及有效态含量。本文介绍了土壤有效态重金属的定义及其在土壤-有机体系统中的转移;并结合国内外相关研究领域的文献资料,按检测对象将土壤重金属有效态的检测方法分为直接检测方法(化学检测方法和物理检测方法)和间接检测方法(生物指示法),系统阐述了化学检测方法中的浸提法,物理检测方法中的梯度扩散薄膜技术和光谱分析法,及生物指示法中的指示植物检测法、微生物检测法和动物检测法的研究进展、适用范围及优缺点,概括了目前检测方法存在的主要问题是不能同时满足大面积监测和精确检测两个方面。并指出快速、大面积、原位测定污染物种类和含量,采取相应措施保障粮食安全及人类身体健康是目前迫切需要解决的问题。本文将土壤-植物-人作为一个整体,了解重金属有效态在该系统中的迁移富集机理,认为在此基础上选择合适的数据处理方法及建模参数,结合遥感、地理信息系统和全球定位系统对土壤重金属污染进行原位立体监测,是未来土壤重金属有效态含量检测与监测研究的主要发展方向。     

A pragmatic approach to modelling soil and water conservation measures with a catchment scale erosion model

To reduce soil erosion, soil and water conservation (SWC) methods are often used. However, no method exists to model beforehand how implementing such measures will affect erosion at catchment scale. A method was developed to simulate the effects of SWC measures with catchment scale erosion models. The method was implemented by applying the LISEM model to an agricultural catchment on the slopes of Mt. Kenya. The method consisted of a field scale calibration based on P-factors, followed by application at catchment scale. This calibration included factors such as saturated conductivity, Manning's n, roughness and slope angle. It was found that using data on P-factors, such models can be calibrated to give acceptable predictions at pixel scale. However, P-factors were also found to vary with land use type and storm size. Besides, more data on the physical effectiveness of SWC measures are needed. At catchment scale, the effect of SWC was found to be different from that at pixel scale. Most SWC were simulated to be more effective at catchment scale, indicating additional infiltration during transport through the catchment to the outlet. However, slope corrections in case of terraces were found to be less effective at this scale. Nevertheless, a simulation for current land use with current SWC measures indicated that these SWC measures decrease runoff by 28% and erosion by 60%.     

基于高密度电阻率成像法的陇中半干旱区土壤含水量监测研究

土壤含水量是影响半干旱区农作物生长的重要因素。为了准确测定土壤含水量的变化动态以指导农业高效用水,近年来,利用地球物理测量方法研究高分辨率的水流入渗,已经越来越受到欢迎和重视。本文以陇中半干旱区玉米田为例,通过在土壤表面布置电极,利用高密度电阻率成像法(ERT)对降雨前后土壤二维剖面进行电阻率数据测量,实现对土壤二维剖面电阻率值和含水量监测,解释不同条件下土壤含水量变化的原因,建立陇中半干旱区农田土壤电阻率和含水量之间的相关关系。结果表明:降水入渗使得二维剖面土壤电阻率整体呈明显降低趋势,反演得到的电阻率图像局部电阻值"高-低-高"的变化过程,与一次降水过程前后"干-湿-干"的循环过程一致。土壤含水量实测值与估计值之间有较为显著的线性关系(R2=0.651 8,n=96)。在0~2.0 m深度范围内,总体估计偏差较小,为0.74%;土壤含水率的估计精度较高,为2.64%。0~0.5 m土层(H1)含水量监测探头分布密集,数据采集较为准确,故H1层估计精度略高于0.5~2.0 m层(H2)。相比之前利用实测工具进行野外测量,ERT测量方法精度较高。本文提供了一个高分辨率的土壤结构二维分布与水分运移过程的图像,同时为实现精确和高效的农业用水管理提供一种新途径。