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1.
土壤含水量对反射光谱法预测红壤土壤有机质的影响研究   总被引:9,自引:2,他引:7  
研究土壤含水量对有机质预测的影响,可为野外红壤有机质快速测定提供理论依据。本文在实验室条件下测量了不同含水量红壤的可见光-近红外光谱反射率,运用偏最小二乘回归(PLSR)建立不同含水量的土壤有机质预测模型。结果显示,随土壤含水量的增加,有机质与一阶微分光谱的相关性先增加后下降,含水量为100~150 g/kg时相关系数最大。分380~2 400、380~1 300、1 300~2 400 nm三个波段建立不同含水量的有机质预测模型,模型预测精度均随土壤含水量增加而呈现先增加后下降的趋势。利用1 300~2 400 nm建立有机质预测模型可以有效避开氧化铁影响,建立的模型预测精度最高。本研究认为,当土壤含水量小于200 g/kg时,可以利用在室内控制条件下测定的土壤反射率,建立1 300~2 400 nm波段的PLSR模型,进行红壤土壤有机质含量预测。  相似文献   

2.
利用土壤表层含水量序列预测深层含水量的研究   总被引:5,自引:0,他引:5  
土壤剖面含水量的预测对于灌溉、防治水土流失、改善生态环境等一系列环境过程具有重要意义。根据每天测量红壤不同层次含水量,利用时间序列分析方法,依据表层10cm含水量序列预测20cm,30cm,40cm和60cm土层含水量。结果表明,各不同土层含水量之间呈极显著性相关;利用分布滞后模型根据10cm土层含水量预报各深层土壤含水量,模型的滞后时间随着被预报土层深度的增加而增加,预报模型相对误差不超过6%,最大相对误差不超过10%。10 cm土层含水量分别联合20 cm,30 cm,40 cm和60 cm土层含水量,利用自回归分布滞后模型对相应各土层含水量模拟预报,缩短了滞后时间,模型表达式更简洁,精度仍然较高。  相似文献   

3.
基于不同PTF_S的流域尺度土壤持水特性空间变异性分析   总被引:2,自引:0,他引:2  
利用点估计模型、线性回归模型、非线性回归模型和人工神经网络模型等四种PTFS分别预测大沽河流域90个土壤样本的田间持水量(θ-30 kPa)和凋萎含水量(θ-1 500 kPa),借助传统统计学和地统计学方法对其空间变异性进行了比较分析。传统统计学分析认为非线性回归模型预测的效果最好,无论是实测值还是估计值,所有土壤样本θ-30 kPa的变异系数总是小于θ-1 500 kPa,两者均属于中等变异性;地统计学分析表明实测值和预测值的θ-30 kPa和θ-1 500 kPa均存在不同程度的块金效应,且θ-30 kPa总是表现出较θ-1 500 kPa更强烈的空间相关性,通过分析θ-30 kPa和θ-1 500 kPa的半方差函数模型参数,发现人工神经网络模型最能真实地反映试验区土壤持水特性的空间变异性特征。  相似文献   

4.
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。  相似文献   

5.
针对东北松嫩平原中南部黑土区玉米带农田长期旋耕导致耕层变浅、容重增大等问题,开展深翻-旋耕轮耕模式改善土壤物理性质的研究。试验设置连年旋耕配施化肥(RT)、连年旋耕配施化肥与有机肥(RM)、深翻-旋耕轮耕配施化肥(DT)和深翻-旋耕轮耕配施化肥与有机肥(DM)4个处理,分析0 ~ 45 cm土壤含水量、容重、紧实度、团聚体的变化及10 cm、20 cm、30 cm各深度处土壤温度变化情况。结果表明,与RT处理相比,DT处理能够显著提高玉米苗期和拔节期20 cm、30 cm深度土壤温度,增加玉米各生育时期15 ~ 45 cm土层土壤含水量,并且显著降低土壤容重和紧实度,提高了30 ~ 45 cm土层 > 0.25 mm水稳性团聚体的比例;同时DM处理能够增加苗期、收获期各土层含水量,且对0 ~ 45 cm土壤容重均有显著降低作用;而RM处理仅使0 ~ 15 cm土层容重有降低,但并不显著,且对深层土壤容重无明显影响。相关分析表明,在0 ~ 15 cm土层中,土壤含水量、紧实度、容重与温度呈负相关关系(P < 0.05);在0 ~ 45 cm土层中,土壤容重与土壤紧实度呈极显著正相关关系(P < 0.05)。DM的耕作模式能降低土壤容重和紧实度,有效提高土壤温度、土壤含水量以及 > 0.25 mm 水稳性团聚体的比例,能够较好的改善土壤耕层物理性质。  相似文献   

6.
选择上海城郊地带,对不同农业用地类型和不同城市功能区土壤持水供水特征及其影响因素进行了分析,结果表明,由于土壤粉粒和沙粒含量较高,土壤持水供水能力弱。不同农业利用方式下土壤持水能力差异较小,土壤持水特征的变化主要集中在低吸力段(0~30 kPa),反映了土壤通气状况的改变。与农业土壤相比,受人为干扰强烈的城市不同功能区土壤持水能力差异明显。低吸力段土壤总孔隙度、毛管孔隙度、有机质含量与各吸力段土壤含水量之间存在显著相关关系,影响土壤持水性的主要因素是容重、土壤孔隙组成和有机质含量。土壤压实和有机质含量增加是影响城市土壤水分性质的重要因素。幂函数模型能较好地模拟土壤含水量与土壤吸力之间的关系。  相似文献   

7.
超声波土壤含水量检测装置的模型建立与验证   总被引:4,自引:3,他引:1  
李君  徐岩  姜锐  杨洲  陆华忠 《农业工程学报》2017,33(13):127-133
为探究利用超声波脉冲速度检测土壤体积含水量的可行性,以广东省红壤、赤红壤、水稻土为研究对象,设计了一种超声波土壤含水量检测装置,并利用ZBL-U510型非金属超声波检测仪在3种不同温度环境下(10、20、30℃)对不同含水量的土壤样本进行声速测定,构建了土壤体积含水量与超声波差值声速的温度效应数学模型。结果表明:超声波在水稻土中的传播速度比红壤、赤红壤快,且温度对超声波声速随土壤体积含水量变化节律的影响不同。20℃环境下超声波在土壤中的传播速度最快,10℃其次,30℃最慢。采用Richards模型表征土壤体积含水量与超声波差值声速关系的预测误差在3%左右,采用分段结构温度效应模型的预测误差在5%以内,证明该文提出的超声波脉冲速度-土壤体积含水量的温度效应模型可用于动态温度条件下的土壤含水量预测。该研究可为超声波技术在土壤水分检测领域的应用研究提供参考。  相似文献   

8.
基于BP神经网络的土壤水力学参数预测   总被引:8,自引:1,他引:7  
为了获取区域土壤水分和溶质运移模拟所需的土壤水力学参数,利用黄淮海平原曲周县的试验资料建立基于BP神经网络的土壤转换函数模型。本文采用土壤粒径分布、容重、有机质含量等土壤基本理化性质,来预测土壤饱和导水率Ks、饱和含水量sθ、残余含水量θr、以及van Genuchten公式参数α、n的对数形式ln(α)和ln(n),并与多元线性逐步回归方法进行比较。t检验结果表明,BP神经网络训练和预测得到的模拟值与实测值之间吻合很好,该方法具有较高的预测精度。通过对平均相对误差的比较,得出在粒径分布的基础上增加容重、有机质含量等输入项目,可以提高部分土壤水力学参数的预测精度,而有些参数的预测精度反而降低。以误差平方和为标准的比较结果表明,BP神经网络模型的预测效果总的来看要优于多元线性回归法。  相似文献   

9.
利用德国产TRIME-T3测量系统测定土壤电导率的相关值及土壤含水率。通过对果园土壤电导率相关值的研究,得到了TDR-LEVEL在垂直方向上的分布特征,即在0-100 cm范围内TDR-LEVEL受外界影响比较明显,分布规律性差;100-180 cm范围内土壤电导率相关值呈现出先降低后增加的分布趋势。随时间的变化,土壤电导率相关值呈现出先降低后增加的动态规律,与相对应的土壤含水量的变化趋势相反,并在TDR-LEVEL垂直方向上分布特征的基础上建立了0-30 cm内各层与0-100 cm层的经验关系模型。  相似文献   

10.
李相  丁建丽  黄帅  陈文倩  王娇  袁泽 《土壤》2016,48(5):1032-1041
基于典型研究区植被冠层实测高光谱数据和HSI高光谱影像数据,通过相关分析选择与不同深度土壤含水量响应敏感波段,建立两者的土壤含水量反演模型,并用实测高光谱土壤含水量反演模型校正HSI影像土壤含水量反演的模型。结果表明:土壤含水量响应敏感波段区域为450~650 nm和850~920 nm;两种土壤含水量反演模型对土壤深度为0~10 cm的土壤含水量估算效果最好,其中实测冠层高光谱土壤含水量反演模型精度高于HSI影像土壤含水量反演模型,判定系数(R~2)分别为0.659和0.557;经过校正的HSI影像土壤含水量反演模型精度有了较大的提高,判定系数(R~2)从0.557提升到0.719,均方根误差(RMSE)为0.043 5,较好地提高了区域尺度条件下土壤含水量监测精度,因此运用该方法进行土壤含水量遥感监测是可行的,为进一步提高区域尺度下土壤含水量定量遥感监测提供参考借鉴。  相似文献   

11.
A total of 107 soil samples were taken from the city of Qingdao,Shandong Province,China.Soil water retention data at 2.5,6,10,33,100,300,and 1 500 kPa matric potentials were measured using a pressure membrane apparatus.Multiple linear regression (MLR) was used to develop pedotransfer functions (PTFs) for single point estimation and van Genuchten parameter estimation based on readily measurable soil properties,i.e.,MLR-based point (MLRP) PTF and MLR-based parametric (MLRV) PTF.The double cross-validation method was used to evaluate the accuracy of PTF estimates and the stability of the PTFs developed in this study.The performance of MLRP and MLRV PTFs in estimating water contents at matric potentials of 10,33,and 1 500 kPa was compared with that of two existing PTFs,the Rawls PTF and the Vereecken PTF.In addition,geostatistical analyses were conducted to assess the capabilities of these PTFs in describing the spatial variability of soil water retention characteristics.Results showed that among all PTFs only the Vereecken PTF failed to accurately estimate water retention characteristics.Although the MLRP PTF can be used to predict retention characteristics through traditional statistical analyses,it failed to describe the spatial variability of soil water retention characteristics.Although the MLRV and Rawls PTFs failed to describe the spatial variability of water contents at a matric potential of 10 kPa,they can be used to quantify the spatial variability of water contents at matric potentials of 33 and 1 500 kPa.  相似文献   

12.
13.
现有关于盆栽控水模拟土壤干旱条件的试验中多采用含水率作为水分胁迫阈值,然而由于基质配比不同导致含水率相同的基质的水分状况也不尽相同,这导致各研究间结果难以对比和参考。为快速获取盆栽基质水分特征曲线,建立基质水分特征曲线预测模型。该研究以盆栽控水试验常用的泥炭土、蛭石和珍珠岩为基质材料,测定了不同配比基质的水分特征曲线,通过不同方法(多元回归模型、人工神经网络)建立了其预测模型。结果表明,人工神经网络模型对基质水分特征曲线的预测精度高于多元回归;相较于人工神经网络,多元回归模型的稳定性更高。综合考虑模型的精度和稳定性,多元回归模型是预测作物盆栽基质水分特征曲线的最佳模型。该模型为基质水分特征曲线快速获取以及相关作物干旱胁迫研究间的对比提供了方法和依据。  相似文献   

14.
The unsaturated soil hydraulic functions involving the soil–water retention curve (SWRC) and the hydraulic conductivity provide useful integrated indices of soil quality. Existing and newly devised methods were used to formulate pedotransfer functions (PTFs) that predict the SWRC from readily available soil data. The PTFs were calibrated using a large soils database from Hungary. The database contains measured soil–water retention data, the dry bulk density, sand, silt and clay percentages, and the organic matter content of 305 soil layers from some 80 soil profiles. A three-parameter van Genuchten type function was fitted to the measured retention data to obtain SWRC parameters for each soil sample in the database. Using a quasi-random procedure, the database was divided into “evaluation” (EVAL) and “test” (TEST) parts containing 225 and 80 soil samples, respectively. Linear PTFs for the SWRC parameters were calculated for the EVAL database. The PTFs used for this purpose particle-size percentages, dry bulk density, organic matter content, and the sand/silt ratio, as well as simple transforms (such as logarithms and products) of these independent variables. Of the various independent variables, the eight most significant were used to calculate the different PTFs. A nonlinear (NL) predictive method was obtained by substituting the linear PTFs directly into the SWRC equation, and subsequently adjusting the PTF parameters to all retention data of the EVAL database. The estimation error (SSQ) and efficiency (EE) were used to compare the effectiveness of the linear and nonlinearly adjusted PTFs. We found that EE of the EVAL and the TEST databases increased by 4 and 7%, respectively, using the second nonlinear optimization approach. To further increase EE, one measured retention data point was used as an additional (concomitant) variable in the PTFs. Using the 20 kPa water retention data point in the linear PTFs improved the EE by about 25% for the TEST data set. Nonlinear adjustment of the concomitant variable PTF using the 20 kPa retention data point as concomitant variable produced the best PTF. This PTF produced EE values of 93 and 88% for the EVAL and TEST soil data sets, respectively.  相似文献   

15.
Soil structure and pedotransfer functions   总被引:3,自引:0,他引:3  
Accurate estimates of soil hydraulic properties from other soil characteristics using pedotransfer functions (PTFs) are in demand in many applications, and soil structural characteristics are natural candidates for improving PTFs. Soil survey provides mostly categorical data about soil structure. Many available characteristics such as bulk density, aggregate distribution, and penetration resistance reflect not only structural but also other soil properties. Our objective here is to provoke a discussion of the value of structural information in modelling water transport in soils. Two case studies are presented. Data from the US National Pedon Characterization database are used to estimate soil water retention from categorical field‐determined structural and textural classes. Regression‐tree estimates have the same accuracy as those from textural class as determined in the laboratory. Grade of structure appears to be a strong predictor of water retention at ?33 kPa and ?1500 kPa. Data from the UNSODA database are used to compare field and laboratory soil water retention. The field‐measured retention is significantly less than that measured in the laboratory for soils with a sand content of less than 50%. This could be explained by Rieu and Sposito's theory of scaling in soil structure. Our results suggest a close relationship between structure observed at the soil horizon scale and structure at finer scales affecting water retention of soil clods. Finally we indicate research needs, including (i) quantitative characterization of the field soil structure, (ii) an across‐scale modelling of soil structure to use fine‐scale data for coarse‐scale PTFs, (iii) the need to understand the effects of soil structure on the performance of various methods available to measure soil hydraulic properties, and (iv) further studies of ways to use soil–landscape relationships to estimate variations of soil hydraulic properties across large areas of land.  相似文献   

16.
不同农业措施对土壤持水特征的影响及其保水作用   总被引:4,自引:0,他引:4  
本试验讨沧了容重及粒径大小对土壤持水性的影响,并对各种物料处理(或措施)的保水效果及其对土壤持水特征的影响进行了探讨。结果表明:随着容重的增大,土壤的透气和饱和导水率迅速下降;水分饱和时的土壤重量含水量(W%)因容重的增大而减少,但随着土壤水势的降低,W%不受容重所影响。0.3mm和1~0.3mm的较小粒径土粒的持水量在高土壤水势范围内往往较大颗粒持水量为高;然而,随着土壤水势的下降(-30kPa),较小土粒失水较快,较大土粒的持水量相对较高。保水剂和粪对土壤水的保持具有良好作用,当水势-200kPa,重量含水量W%16%,保水剂和牛粪分别可使W%提高1.4%~9.9%和0.8%~2.5%。化肥在-50kPa,W%19%时同样可提高土壤的持水能力(W%提高0.8%~3.0%)。土壤结构剂、秸秆时土壤持水特征曲线的影响范围较窄,在土壤水势较高的情况下才显示其保水效果。  相似文献   

17.
Soil texture is an important factor governing a range of physical properties and processes in soil. The clay and fine fractions of soil are particularly important in controlling soil water retention, hydraulic properties, water flow and transport. Modern soil texture analysis techniques (x‐ray attenuation, laser diffraction and particle counting) are very laborious with expensive instrumentation. Chilled‐mirror dewpoint potentiameters allows for the rapid measurement of the permanent wilting point (PWP) of soil. As the PWP is strongly dictated by soil texture, we tested the applicability of PWP measured by a dewpoint potentiameter in predicting the clay, silt and sand content of humid tropical soils. The clay, silt, and sand content, organic matter and PWP were determined for 21 soils. Three regression models were developed to estimate the fine fractions and validated using independent soil data. While the first model showed reasonable accuracy (RMSE 16.4%; MAE 13.5%) in estimating the clay, incorporating the organic matter into the equation improved the predictions of the second model (RMSE 17.3%; MAE 10.9%). When used on all soil data, the accuracy of the third model in predicting the fine fraction was poor (RMSE 31.9%; MAE 24.5%). However, for soils with silt content greater than 30%, the model prediction was quite accurate (RMSE 7–12%; MAE 7–9%). The models were used to estimate the sand content and soil textures of soils, which proved relatively accurate. The dewpoint potentiometer can serve a dual purpose of rapidly estimating the PWP and the clay, fine fraction, and soil texture of soils in a cost efficient way.  相似文献   

18.
Water and nutrients are scarce resources in arid and semiarid ecosystems. In these regions, biological soil crusts (BSCs) occupy a large part of the soil surface in the open spaces surrounding patches of vegetation. BSCs affect physicochemical soil properties, such as aggregate stability, water retention, organic carbon (OC) and nitrogen (N) content, associated with primary ecosystem processes like water availability and soil fertility. However, the way BSCs modify soil surface and subsurface properties greatly depends on the type of BSC. We hypothesised that physicochemical properties of soil crusts and of their underlying soils would improve with crust development stage. Physicochemical properties of various types of soil crusts (physical crusts and several BSC development stages) and of the underlying soil (soil layers 0–1 cm and 1–5 cm underneath the crusts) in two semiarid areas in SE Spain were analysed. The properties that differed significantly depending on crust development stage were aggregate stability, water content (WC) (at −33 kPa and −1500 kPa), OC and N content. Aggregate stability was higher under well-developed BSCs (cyanobacterial, lichen and moss crusts) than under physical crusts or incipient BSCs. WC, OC and N content significantly increased in the crust and its underlying soil with crust development, especially in the first centimetre of soil underneath the crust. Our results highlight the significant role of BSCs in water availability, soil stability and soil fertility in semiarid areas.  相似文献   

19.
土壤持水力与盐含量的相关性   总被引:3,自引:0,他引:3  
The soil moisture retention capability of Chao soil and coastal saline Chao soil in Shandong and Zhejiang provinces were measured by pressure membrane method. The main factors influencing soil moisture retention capability were studied by the methods of correlation and path analyses. The results indicated that < 0.02mm physical clay and soil salt content were the main factors influencing soil moisture retention capability. At soil suction of 30~50 kPa, the soil salt content would be the dominant factor.  相似文献   

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