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1.
    
To generate baseline data for the purpose of monitoring the efficacy of remediation of a degraded landscape, we demonstrate a method for 3‐dimensional mapping of electrical conductivity of saturated soil paste extract (ECe) across a study field in central Haryana, India. This is achieved by establishing a linear relationship between calculated true electrical conductivity (σ) and laboratory measured ECe at various depths (0–0.3, 0.3–0.6, 0.6–0.9, and 0.9–1.2 m). We estimate σ by inverting DUALEM‐21S apparent electrical conductivity (ECa) data using a quasi‐3‐dimensional inversion algorithm (EM4Soil‐V302). The best linear relationship (ECe = −11.814 + 0.043 × σ) was achieved using full solution (FS), S1 inversion algorithm, and a damping factor (λ) of 0.6 that had a large coefficient of determination (R2 = 0.84). A cross‐validation technique was used to validate the model, and given the high accuracy (RMSE = 8.31 dS m−1), small bias (mean error = −0.0628 dS m−1), large R2 = 0.82, and Lin's concordance (0.93), between measured and predicted ECe, we were well able to predict the ECe distribution at all the four depths. However, the predictions made in the topsoil (0–0.3 m) at a few locations were poor due to limited data availability in areas where ECa changed rapidly. In this regard, improvements in prediction can be achieved by collection of ECa in more closely spaced transects, particularly in areas where ECa varies over short spatial scales. Also, equivalent results can be achieved using smaller combinations of ECa data (i.e., DAULEM‐1S, DUALEM‐2S), although with some loss in precision, bias, and concordance.  相似文献   

2.
    
Fast and accurate large-scale localization and quantification of harmfully compacted soils in recultivated post-mining landscapes are of particular importance for mining companies and the following farmers. The use of heavy machinery during recultivation imposes soil stress and can cause irreversible subsoil compaction limiting crop growth in the long term. To overcome or guide classical point-scale methods to determine compaction, fast methods covering large areas are required. In our study, a recultivated field of the Garzweiler mine in North Rhine-Westphalia, Germany, with known variability in crop performance was intensively studied using non-invasive electromagnetic induction (EMI) and electrode-based electrical resistivity tomography (ERT). Additionally, soil bulk density, volumetric soil water content and soil textures were analysed along two transects covering different compaction levels. The results showed that the measured EMI apparent electrical conductivity (ECa) along the transects was highly correlated (R2 > .7 for different dates and depths below 0.3 m) to subsoil bulk density. Finally, the correlations established along the transects were used to predict harmful subsoil compaction within the field, whereby a spatial probabilistic map of zones of harmful compaction was developed. In general, the results revealed the feasibility of using the EMI derived ECa to predict harmful compaction. They can be the basis for quick monitoring of the recultivation process and implementation of necessary melioration to return a well-structured soil with good water and nutrient accessibility, and rooting depths for increased crop yields to the farmers.  相似文献   

3.
The electromagnetic induction (EMI) Geonics EM38 (G‐EM38) and Dualem 1S (D‐1S) sensors are used frequently for assessment of soil salinity and other soil characteristics in irrigated agriculture. We compared these two sensors to determine whether they could be used interchangeably for the measurement of apparent soil electrical conductivity (ECa) in horizontal (ECa‐h) and vertical (ECa‐v) coil receiver modes. Readings were taken at 201 locations identified in three irrigation districts in both modes, and statistical comparisons were made on the raw data and from maps of a 2‐ha irrigated field made using 1680 horizontal mode readings. Both sensors gave the same ECa‐v readings (mean G‐EM38 and D‐1S difference = 0), whereas the ECa‐h readings were slightly greater with the Geonics EM38 than with the Dualem D‐1S (mean difference = 0.075 and 0.05 dS/m for the 201 and 1680 observations, respectively). The degree of coincidence between both sensors for soil profile ECa classification was acceptable: 82% for normal profiles (i.e. ECa‐h/ECa‐v < 0.9) and 90% for inverted profiles (i.e. ECa‐h/ECa‐v > 1.1). In practical terms, Geonics EM38 and Dualem 1S sensors could be used interchangeably with similar or very close results.  相似文献   

4.
5.
盐碱地盐分空间分布精准识别及形成机理解析对盐碱地科学利用具有重要意义。针对传统点状采样监测方法工作量大、代表性差和检测费用高等问题,本研究采用电磁感应仪精准调查技术对上海崇明某滩涂农场进行土壤盐分空间分布评估,全面快速获得盐分空间分布信息,解析土壤盐分形成机理,进而分类分区分级指导农业生产和科学精准改良。结果表明:土壤表观电导率(ECa)和土壤盐分含量呈显著线性正相关关系(R2>0.9,P<0.05),土壤表观电导率的变化可以用来表征土壤盐分含量的变化;通过克里金插值研究区内土壤盐分的空间变异分布状况发现,研究区土壤盐分空间分布不均匀,有近80%区域存在轻中度盐碱化问题;通过定点取样土壤盐碱剖面评价,发现研究区土壤盐分具有较强的表聚性和变异强度,且变异系数随土壤深度增加不断减小;将表观电导率解译出的土壤盐分和土壤pH、有机质含量及主要组成离子含量进行相关性分析,剖析出该区域盐渍化类型以硫酸盐型为主,海水浸渍侧渗和地下水返盐影响是该区域盐渍化形成的主要原因。本研究实现了对土壤盐碱化快速、大范围、科学且动态的监测,对于全面提升盐碱地农...  相似文献   

6.
基于电磁感应的典型干旱区土壤盐分空间异质性   总被引:4,自引:1,他引:4       下载免费PDF全文
为研究干旱区土壤盐分空间异质性,指导农业生产实践,运用大地电导率仪(EM38、EM31)对研究区域进行移动式磁感调查,获取表观电导率(ECa)。同时,通过27个校准点的采样和ECa测量,建立土壤盐分的电磁感应解译模型。干旱区土壤盐分质量分数与EM38、EM31水平模式读数(H38、H31)显示出良好的相关性(R=0.935),可以利用ECa结合GIS和地统计学知识研究土壤盐分的空间分布。采用两种方法进行研究:一种是先利用解译模型获取磁感调查点的土壤盐分质量分数,然后进行地统计分析研究其空间分布;另一种是先利用地统计分析研究H38和H31的空间分布,然后利用解译模型通过栅格运算计算盐分质量分数,精度检验显示前者预测值与实测值之间的相关性更好(R2, 0.888>0.873);标准差较低(std. 0.414<0.426),具有更高的预测精度。研究结果表明,基于电磁感应研究干旱区土壤盐分空间异质性是切实可行的,这对于土壤盐渍化的快速诊断,指导农业生产和促进精准农业的发展具有重要的意义。  相似文献   

7.
    
Soil salinization limits agricultural productivity and can ultimately cause desertification and land abandonment. One approach to assess soil salinity over large areas efficiently is to use electromagnetic instruments to measure the soil apparent electrical conductivity (ECa, mS m−1). ECa data can be then inverted to generate electromagnetic conductivity images (EMCIs), which provide the vertical distribution of the soil electrical conductivity (σ, mS m−1). In this study, we collected ECa data using an EM38 instrument across four locations with different levels of salinity in an important agricultural area of alluvial origin in Portugal. Using an inversion algorithm, we generated EMCIs and evaluated the potential for prediction of the electrical conductivity of the saturated soil paste extract (ECe). The main aim of our study is to compare regional and location‐specific calibrations in terms of ability to predict ECe from EMCIs. The results showed that the regional calibration predicted ECe unbiased, precisely (root mean square error [RMSE] = 2.54 dS m−1), and with strong concordance (0.93). The location‐specific calibration also predicted ECe unbiased, precisely (RMSE = 1.67 dS m−1), and with strong concordance (0.97). We conclude that the location‐specific calibration has slightly better prediction results, but the regional calibration is more practical for mapping soil salinity in the study area because it can be used at any new location without the need for new calibration. The prediction results at locations 3 and 4 show high to severely high soil salinity, which can compromise agricultural productivity. Therefore, monitoring soil salinity is required to conserve and improve agricultural productivity in the south of the study area.  相似文献   

8.
Variation in soil texture has a profound effect on soil management, especially in texturally complex soils such as the polder soils of Belgium. The conventional point sampling approach requires high sampling intensity to take into account such spatial variation. In this study we investigated the use of two ancillary variables for the detailed mapping of soil texture and subsequent delineation of potential management zones for site‐specific management. In an 11.5 ha arable field in the polder area, the apparent electrical conductivity (ECa) was measured with an EM38DD electromagnetic induction instrument. The geometric mean values of the ECa measured in both vertical and horizontal orientations strongly correlated with the more heterogeneous subsoil clay content (r = 0.83), but the correlation was weaker with the homogenous topsoil clay content (r = 0.40). The gravimetric water content at wilting point (θg(?1.5 MPa)) correlated very well (r = 0.96) with the topsoil clay content. Thus maps of topsoil and subsoil clay contents were obtained from 63 clay analyses supplemented with 117θg(?1.5 MPa) and 4048ECa measurements, respectively, using standardized ordinary cokriging. Three potential management zones were identified based on the spatial variation of both top and subsoil clay contents. The influence of subsoil textural variation on crop behaviour was illustrated by an aerial image, confirming the reliability of the results from the small number of primary samples.  相似文献   

9.
    
In the Far West Texas region in the USA, long‐term irrigation of fine‐textured valley soils with saline Rio Grande River water has led to soil salinity and sodicity problems. Soil salinity [measured by saturated paste electrical conductivity (ECe)] and sodicity [measured by sodium adsorption ratio (SAR)] in the irrigated areas have resulted in poor growing conditions, reduced crop yields, and declining farm profitability. Understanding the spatial distribution of ECe and SAR within the affected areas is necessary for developing management practices. Conventional methods of assessing ECe and SAR distribution at a high spatial resolution are expensive and time consuming. This study evaluated the accuracy of electromagnetic induction (EMI), which measures apparent electrical conductivity (ECa), to delineate ECe and SAR distribution in two cotton fields located in the Hudspeth and El Paso Counties of Texas, USA. Calibration equations for converting ECa into ECe and SAR were derived using the multiple linear regression (MLR) model included in the ECe Sampling Assessment and Prediction program package developed by the US Salinity Laboratory. Correlations between ECa and soil variables (clay content, ECe, SAR) were highly significant (p ≤ 0·05). This was further confirmed by significant (p ≤ 0·05) MLRs used for estimating ECe and SAR. The ECe and SAR determined by ECa closely matched the measured ECe and SAR values of the study site soils, which ranged from 0·47 to 9·87 dS m−1 and 2·27 to 27·4 mmol1/2 L−1/2, respectively. High R2 values between estimated and measured soil ECe and SAR values validated the MLR model results. Results of this study indicated that the EMI method can be used for rapid and accurate delineation of salinity and sodicity distribution within the affected area. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   

10.
针对目前黄河三角洲地区存在的土壤盐渍障碍问题,以该地区典型地块为研究对象,运用磁感大地电导率仪(EM38),结合GIS与地统计学研究了不同样点密度下土壤表观电导率的空间变异特征,确定了最佳的空间插值模式,并采用偏差指数对各分布图层的空间相似性进行了评价。结果表明:不同样点密度下的土壤表观电导率均呈中等变异强度,并服从对数正态分布;各样点密度下的土壤表观电导率均表现为强空间相关性,其空间变异主要表现在小于10 m的田间尺度上,且对于预测精度,泛克立格>普通克立格>反距离权重>局部多项式。偏差指数法分析表明,各插值方法分布图的空间相似性均随样点密度的降低而下降;对于相同的样点密度减小比例下的空间信息保留度,泛克立格>普通克立格>反距离权重>局部多项式,采用泛克立格法可以在保证预测精度的基础上合理降低样点密度。该研究为黄河三角洲地区盐渍土地磁感式田间数据采集的合理密度确定以及优化空间插值模式选取提供了理论依据与技术参考。  相似文献   

11.
    
Two approaches have emerged as the preferred means for assessing salinity at regional scale: (i) vegetative indices from satellite imagery (e.g., MODIS enhanced vegetative index, NDVI) and (ii) analysis of covariance (ANOCOVA) calibration of apparent soil electrical conductivity (ECa) to salinity. The later approach is most recent and least extensively validated. It is the objective of this study to provide extensive validation of the ANOCOVA approach. The validation comprised 77 fields in California's Coachella Valley, ranging from 1.25 to 30.0 ha in size with an average size of 12.8 ha. Mobile electromagnetic induction (EMI) equipment surveyed the fields obtaining geospatial measurements of ECa. Soil sample sites selected following ECa‐directed soil sampling protocols characterized the range and spatial variation in ECa across the field. From the data, a regional ANOCOVA model was developed. The regional ANOCOVA model successfully reduced cross‐validated, average log salinity prediction error (variance) estimate by more than 30% across the 77 fields and improved the depth‐averaged prediction accuracy in 58 of the 77 fields. The results show that the ANOCOVA modelling approach improves soil salinity predictions from EMI signal data in most of the surveys conducted, particularly fields where only a limited number of calibration sampling locations were available. The establishment of ANOCOVA models at each depth increment for a representative set of fields within a regional‐scale study area provides slope coefficients applicable to all future fields within the region, significantly reducing ground‐truth soil samples at future fields.  相似文献   

12.
13.
The integrated effect of irrigation and agricultural practices on soil salinity in the Jordan Valley (JV), where over 60% of Jordan’s agricultural produce is grown, was investigated in this study during 2009-2010. Due to the differences in agricultural operations, cropping patterns, irrigation management, and weather conditions, 206 top- and sub-soil samples were taken every 1 to 3 km from representative farms along a north-south (N-S) transect with 1 to 2 km lateral extents. Soil electrical conductivity of saturated extract (ECse), Ca, Mg, K, Na, Cl, and Na adsorption ratio (SAR) were determined in saturated paste extracts. Results indicated that about 63% of soils in the JV are indeed saline, out of which almost 46% are moderately to strongly saline. Along the N-S transect of the JV, ECse increased from 4.5 to 14.1 dS m-1 in top-soil samples. Similar increase was observed for the sub-soil samples. The major chemical components of soil salinity; i.e., Ca, Mg, and Cl, also showed a similar increase along the N-S transect of the valley. Moreover, compared to previous field sampling, results showed that changes in soil salinity in the JV were dramatic. In addition, it was found that Cl imposed an existing and potential threat to sensitive crops in 60% of the soils in the JV, where Cl concentrations were greater than 710 mg L-1. Under the prevalent arid Mediterranean conditions, improving the management of irrigation water, crops, and nutrient inputs and increasing water and fertilizer use efficiencies should be indispensable to conserve and sustain the already fragile agricultural soils in the JV.  相似文献   

14.
渭干河灌区土壤水盐空间变异性研究   总被引:12,自引:1,他引:12  
根据直线和网格布点法布置的150个取样点的测定资料,应用经典统计分析方法.探讨了垦荒地土壤电导率和重量含水率的空间变异性,并给出了不同置信水平及精度要求下两者的合理取样数目。应用自相关和半方差分析方法进一步讨论了土壤电导率及土壤重量含水率的空间变异结构和半方差函数模型。结果表明,垦荒地土壤电导率和重量含水率的空间变异都是有结构的,土壤电导率的最大相关域为9m,土壤重量含水率的最大相关域为6.4m。两者的半方差函数可用有基台的线型模型拟合。  相似文献   

15.
微咸水灌溉下土壤水盐动态及对作物产量的影响   总被引:16,自引:10,他引:16       下载免费PDF全文
华北平原农业灌溉用水非常紧缺,水资源日益缺乏与粮食需求日益增多之间的矛盾尖锐。充分利用微咸水资源是缓解这一矛盾的重要途径之一。该文以中国农业大学曲周试验站1997-2005年冬小麦和夏玉米微咸水灌溉田间长期定位试验为基础,研究了充分淡水、充分淡咸水、关键期淡水、关键期淡咸水和不灌溉等5个处理下土壤饱和电导率和含盐量的动态变化,探讨了微咸水灌溉对冬小麦和夏玉米产量的影响。结果表明:土壤水盐动态呈受灌溉和降雨影响的短期波动和受季节更替影响的长期波动;在正常降雨年份,使用微咸水进行灌溉是可行的,不会导致土壤的次生盐渍化;微咸水灌溉虽然导致冬小麦和夏玉米产量降低10%~15%,但节约淡水资源60%~75%。如果降雨量达到多年平均水平以及微咸水灌溉制度制订合理,微咸水用于冬小麦/玉米田间灌溉前景广阔。  相似文献   

16.
    
Large areas of Morocco require irrigation and although good quality water is available in dams, farmers augment river water with poorer quality ground water, resulting in salt build‐up without a sufficient leaching fraction. Implementation of management plans requires baseline reconnaissance maps of salinity. We developed a method to map the distribution of salinity profiles by establishing a linear regression (LR) between calculated true electrical conductivity (σ, mS/m) and electrical conductivity of the saturated soil‐paste extract (ECe, dS/m). Estimates of σ were obtained by inverting the apparent electrical conductivity (ECa, mS/m) collected from a 500‐m grid survey using an EM38. Spherical variograms were developed to interpolate ECa data onto a 100 m grid using residual maximum likelihood. Inversion was carried out on kriged ECa data using a quasi‐3d model (EM4Soil software), selecting the cumulative function (CF) forward modelling and S2 inversion algorithm with a damping factor of 3.0. Using a ‘leave‐one‐out cross‐validation' (LOOCV), of one in 12 of the calibration sites, the use of the q‐3d model yielded a high accuracy (RMSE = 0.42 dS/m), small bias (ME = ?0.02 dS/m) and Lin's concordance (0.91). Slightly worse results were obtained using individual LR established at each depth increment overall (i.e. RMSE = 0.45 dS/m; ME = 0.00 dS/m; Lin's = 0.89) with the raw EM38 ECa. Inversion required a single LR (ECe = 0.679 + 0.041 × σ), enabling efficiencies in estimating ECe at any depth across the irrigation district. Final maps of ECe, along with information on water used for irrigation (ECw) and the characterization of properties of the two main soil types, enabled better understanding of causes of secondary soil salinity. The approach can be applied to problematic saline areas with saline water tables.  相似文献   

17.
为探讨防治设施土壤次生盐渍化的措施,于发生次生盐渍化的大棚土壤内埋设埋深40cm,间距6m及埋深70cm,间距8m的塑料暗管,研究土壤电导率(EC)、饱和导水率、体积质量等基本理化性质的变化,分析暗管排水对次生盐渍化土壤改良及番茄产量的影响。结果表明:埋设暗管可以明显降低次生盐渍化土壤的EC值,尤其是暗管上方的EC值显著低于对照;同时,土壤饱和导水率增加,体积质量降低而总孔隙度升高;番茄平均单果质量增加,产量显著提高,各项指标均表现为埋深70cm,间距8m暗管的处理优于埋深40cm,间距6m的处理。埋深70cm,间距8m暗管的处理在大棚土壤次生盐渍化改良中的效果优于埋深40cm,间距6m的处理。  相似文献   

18.
控释肥硫膜对酸性棕壤淋溶特性的影响   总被引:7,自引:1,他引:6  
为预测硫包膜控释肥施用后大量硫膜残留对土壤生态系统造成的危害,设置硫膜材料添加量不同的室内淋溶试验,以研究控释肥硫膜材料对土壤淋溶特性的影响。研究结果表明;成分和量等同于硫膜的粉状硫磺可显著改变酸性棕壤淋溶液的pH和EC值及K^+、Na^+、Ca^2+、Mg^2+、SO42-的浓度,5次淋溶累计淋失的K^+、Na^+、Ca^2+、Mg^2+、SO4^2-随粉状硫磺加入量的增加而增加。而硫包膜尿素处理除对土壤SO4^2-、K^+淋溶影响不明显外,对其他指标的影响较明显。试验同时发现,由于硫膜和粉状硫磺的物理形态不同,短期内对土壤淋溶特性的影响也有较大差异,但粉状硫磺的表现可以反映硫膜积累并转化后对土壤的影响。  相似文献   

19.
不同淋洗模式下干旱区盐渍土改良效果分析   总被引:2,自引:2,他引:2  
通过开展室外土柱模拟淋洗试验,选择间歇淋洗与连续淋洗两种淋洗模式,分析不同灌水总量和不同灌水频次相互组合条件下盐渍土的改良效果。结果表明:(1)灌水量相同情况下,间歇淋洗滤出液的电导率高于连续淋洗,间歇淋洗的淋洗效果好于连续淋洗;(2)灌水量不同条件下,滤出液体积随灌水量的增加而增多,灌水量越大盐分淋洗效果越好;(3)淋洗结束后,土壤pH值较淋洗前均有下降,与土壤盐分有相同的变化趋势;灌水量越大,脱碱效果越好。在本试验条件下,盐分淋洗效果以15L分3次给水的间歇淋洗方式最优,淋洗效率为11.58g/L,土壤pH值均由8.42下降到8.07。可供制定维持农田水盐平衡的节水灌溉制度以及盐碱地改良参考。  相似文献   

20.
    
Abstract. An airborne electromagnetic survey yields a three-dimensional map of ground electrical conductivity. The remotely sensed data are translated into salt load by field and laboratory calibration: drilling, measurement of borehole conductivity, electrical conductivity of 1:5 soil–water extracts (EC1:5) and chemical analysis of pore fluids. Using these field measurements, the conductivity map is calibrated by constraining model parameters within limits defined by the measured values. Once the airborne data is calibrated, we can derive a regional constant ( K salt) by comparing total ground conductivity with the mass of salt measured in bore samples. Pore fluid chemistry provides a definitive measure of salt, but EC1:5 values may be used, provided that the procedure ensures complete dispersal of clay aggregates to release all the salt. Maps of salt load can be generated from the conductance (total conductivity) maps using a geographical information system. Without calibration, airborne electromagnetic surveying is misleading. Properly calibrated, it provides a detailed, semi-quantitative, three-dimensional map of the distribution of salt in the landscape: a prerequisite for the effective management of salinity. Salt appearing at the surface and in streams is the result of processes operating throughout entire catenas and groundwater flow systems. Across the southeastern catchments of the Murray–Darling Basin, we found that salt is stored predominantly in thick clay horizons within the regolith (encompassing the soil cover, weathered parent material and unlithified sediments down to unweathered basement). Coarse materials, for example in prior stream channels, may serve as conduits for salt transport to rivers and the land surface.  相似文献   

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