Accounting for temporal inflow variation in the inverse solution for infiltration in surface irrigation

A simple modification of the volume balance equation of the IPARM model is presented to facilitate the use of variable inflow. Traditional approaches for estimating infiltration from advance and/or runoff have merely considered the constant or step inflow case. Whenever this assumption is violated, significant uncertainty is introduced into the estimated infiltration parameters. Evaluation of the procedure with a number of data sets has demonstrated significant improvements in the estimates of infiltration parameters. Furthermore, the technique has shown that a portion of the apparent variability in estimated soil intake rates between furrows in the same field is a consequence of the constant inflow assumption. Accounting for the variable inflow to estimate infiltration functions, both standardised the shape of the infiltration curve and reduced the magnitude of the variation between curves. The proposed technique remains restricted by limitations similar to that of other volume balance models but offers greater performance under typical inflow variations often experienced in practice.     

Determination of infiltration rate from border irrigation advance and recession trajectories

A volume-balance technique utilizing irrigation advance and recession functions, numerical integration, and an optimization procedure was developed to determine infiltration parameters. The procedure is simple yet rational and accounts for spatial variability of soil characteristics. The required data are flow rate, the coefficients and exponents of the advance and recession functions, and inflow shut-off time. In a field experiment on a clay loam soil (typical of southern Alberta) at the Lethbridge Research Centre, infiltration rates estimated by this technique were similar and in close agreement with those measured with a ring infiltrometer. Except for two border strips, there were no significant mean differences between simulated (I_s) and measured (I_m) infiltration rates. In the two non-conforming border strips, field measured infiltration rates were higher than those simulated with the volume balance approach, most likely due mainly to spatial variability of soil characteristics and partly to lateral flow which occasionally occurs when measuring infiltration with a ring infiltrometer.     

Infiltration parameters from optimisation on furrow irrigation advance data

Knowledge of the soil infiltration parameters is necessary for efficient furrow irrigation. A method is proposed for the determination of the parameters in the Kostiakov-Lewis infiltration equation from measurements of the furrow irrigation advance and inflow. The method employs a volume balance model using optimisation to minimise the error between the predicted and measured advance and differs from existing approaches in that only advance data and inflow rates are required. The average cross sectional area of the furrow and the final infiltration rate are treated as fitted parameters and need not be measured. A simple but effective optimisation algorithm is developed which allows for the solution of the four parameters without user input. The speed and simplicity of the optimisation may lead to application in real-time control of furrow irrigation. Received: 16 August 1995     

Evaluating infiltration for border irrigation models

The infiltration characteristics of a soil are important to the design, evaluation and management of border irrigation systems. The use and verification of border irrigation models also rely heavily on infiltration. This paper presents a technique for determining infiltration when detailed information is available on the total infiltrated volume during the irrigation which can be obtained from measurements of inflow, outflow, and water depths on the border strip. The method uses a volume balance at progressive times and is an extension of earlier work. Data from this method were used as input to the zone-inertia border irrigation model and good agreement was found between measured and computed values of advance, recession, runoff rates and volumes, and surface water depths.     

Modeling and error analysis of kinematic-wave equations of furrow irrigation

A moving control volume approach was used to model the advance phase of a furrow irrigation system whereas a fixed control volume was used to model the nearly stationary phase and the runoff rate. The resulting finite-difference equations of the kinematic-wave model were linearized and explicit algebraic expressions were obtained for computation of advance and runoff rate. The solutions for the advance increment and the runoff rate were compared with the nonlinear scheme, the zero-inertia model, and a set of field data. A close agreement was found between the models and the field data. Assuming a constant infiltration rate, a differential equation was derived to estimate the error between the kinematic-wave model and the zero-inertia model in predicting the flow cross-sectional area along the field length. The differential equation and two dimensionless terms were used to define the limits for use of the kinematic-wave model in furrow irrigation.     

Furrow infiltration estimation from time to a single advance point

A simple and quick method to determine the Soil Conservation Service (SCS) intake function in furrow irrigation is presented. The time of advance at only one location of the field, inflow rate, and average flow area are the only field data required to estimate the two parameters of the SCS infiltration equation. The dependence of the two intake parameters, k and α, of the SCS intake function was expressed analytically and then the single unknown intake parameter of the SCS function, α, could be determined by applying a volume–balance (VB) equation using a power advance assumption. Estimates of infiltration by the proposed method were compared with measured furrow infiltration data and a recently developed one-point method which uses the two parameter Philip infiltration equation, but is restricted by an assumption that the advance trajectory follows the power function with the exponent of 1/2. It is shown that the proposed one-point method can give more accurate results than the previous one-point method.     

A spreadsheet model to evaluate sloping furrow irrigation accounting for infiltration variability

A spreadsheet model was developed to evaluate the performance of furrow irrigation that accounts for soil variability and requires few field measurements. The model adjusts an advance trajectory to three (advance distance, advance time) points and, similarly, it adjusts a recession trajectory to three (recession distance, recession time) points. The head of the furrow (distance = 0) is one of the points used to adjust both trajectories. It then calculates the parameters of the infiltration equation using the two-point method (based on the volume balance equation with assumed surface shape parameters). The model gives the option to enter an estimate of the soil infiltration variability in order to account for this variation when calculating irrigation performance indicators. The combination of variance technique was used for this purpose. A set of irrigation performance indicators (distribution uniformity, application efficiency, tail water ratio, deep percolation ratio and deficit coefficient) is calculated, assuming that the infiltrated water follows a normal frequency distribution. To illustrate the evaluation method, it was applied to three irrigation events conducted on a sunflower field, with 234 m long furrows spaced 0.75 m apart. The evaluations were performed in two 3-furrow sets. The application efficiency was satisfactory in the first irrigation, but low in the other two. Uniformity was high in all three irrigations. The performance indicator that was most affected by soil variability was distribution uniformity. Considering soil spatial variability was important for more realistic determination of the infiltrated water distribution, and therefore of the deep percolation, but it had less importance for the determination of the application efficiency, due to the relevance of runoff in our field application.     

基于winSRFR河套灌区小麦不同面积不同生育期的入渗参数和糙率的研究

为了研究小麦不同生育期土壤入渗参数和田面糙率的规律,采用国内外学者对测定土壤入渗参数和田面糙率的方法和模型,根据春小麦不同生育期的水流推进和消退的实测数据,借助win SRFR模型,通过模拟灌溉过程,总结了河套灌区小麦不同畦田面积不同生育期的入渗参数和糙率的规律。结果表明:1春小麦田面糙率的变化范围为0.12~0.17;入渗系数的变化范围为47.78~75.03 mm/hα;入渗指数的变化范围为0.26~0.57。2田面糙率的变化规律总体表现为灌浆期分蘖期孕穗期拔节期,春小麦入渗参数随着小麦生育期逐渐减小,其规律为分蘖期拔节期孕穗期灌浆期。3数据经Sigmaplot显著性分析得出:入渗参数各生育期互相都有显著差异,而糙率在各个生育期除了孕穗期与分蘖期和拔节期无显著性差异其他都有显著差异。     

An improved solution for the infiltration advance problem in irrigation hydraulics

The irrigation advance problem in irrigation hydraulics has been spread across the engineering and soil science literature over a number of decades. The Lewis–Milne framework has been used extensively, but one problem has been to find a suitable infiltration equation. The infiltration advance solutions of Philip and Farrell, and Collis-George and Freebairn are compared to a new solution based on the linear soil infiltration equation. It is shown that the linear soil solution is able to give similar results to the Philip and Farrell solution at early stages of infiltration when this is valid, and the Collis-George and Freebairn solution at longer times when this is valid. The linear soil infiltration advance solution presented here is the first using physically meaningful parameters which is able to give adequate infiltration and advance behaviour over all time scales. To further test the linear soil concept, we inversely fit irrigation advance data to get the sorptivity, saturated hydraulic conductivity and infiltration rate behaviour of the soil using all three infiltration equations. The linear soil is shown to give the best fit for the infiltration behaviour to the measured results with an average r ² of 0.98 compared to 0.84 for Philip and Farrell and 0.77 for Collis-George and Freebairn. The linear soil model was also the best fit using other statistical tests such as RMSE and RSR.     

膜孔畦灌水流推进过程试验及数值模拟研究

利用膜孔畦灌田间水流推进实测资料,根据膜孔灌室内点源入渗模型验证了大田膜孔畦灌水流推进距离与时间呈乘幂函数的关系,并推求了不同开孔率情况下的膜孔灌点源入渗参数。假定不同的田间糙率基于SRFR软件对膜孔畦灌水流推进进行数值模拟,使模拟水流推进时间与真实情况达到最佳匹配,来确定田间的糙率,为膜孔畦灌技术要素设计及田间试验提供了参考。     

应用水量平衡法确定波涌灌溉下土壤入渗参数

基于田间实测的地表水流推进过程 ,利用水量平衡法推求波涌灌溉间歇供水条件下的土壤入渗参数。在此基础上 ,利用地面灌溉模型模拟田间水流推进过程并与实测值作对比后发现 ,与单点入渗测试方法相比较 ,该法不仅具有较高的参数估值精度 ,还具备田间试验工作量相对较小、应用简便等特点 ,具有较好的实用价值。     

Effects of field length and management practices on dissolved organic carbon export in furrow irrigation

Farming practices, including tillage, cover cropping and residue management can have profound effects on the efficiency of irrigation practices. The effects of three field management practices (FMPs) standard tillage and winter-fallow (ST), standard tillage and winter-cover crop (STCC), and no-till and winter-fallow (NT) and two field lengths (122 and 366 m) on runoff and export of dissolved organic carbon (DOC) were investigated in a furrow-irrigated cropping system over two years. The residue cover was 40, 32 and 11% in 2007, and 58, 61 and 11% in 2008 for STCC, NT and ST, respectively. Furrow irrigation experiments were conducted prior to crop planting following the cover crop. The inflow was kept constant across all treatments, and infiltration and runoff were estimated using a volume balance model (VBM). The DOC concentration tended to increase with increasing field length, but did not differ among the FMPs. A threefold increase in field length increased infiltration by 40%, and decreased runoff by 60-90% and DOC export by 65-83%. In both years, infiltration was highest in STCC. In NT, infiltration was lowest in 2007, which was likely due to soil sealing, and intermediate among the three FMPs in 2008 perhaps due to the increase in residue cover in the second year. The DOC budget analysis showed that fields and FMPs acted as DOC sinks exporting less DOC than was applied in the irrigation water. The results suggest that longer furrows and STCC were greater DOC sinks compared to ST and shorter field practices. The VBM, as applied in this study to estimate infiltration and runoff, could be used to predict optimal field length to minimize runoff and promote DOC adsorption to soil within the constraints of water quality and availability and soil conditions.     

Infiltration in surface irrigated swelling soils

Infiltration characteristics for border strip irrigation at two sites with swelling clay soils were examined. Volume infiltrated was calculated from flow onto the field monitored with flow meters; depth of water in the soil estimated from soil samples taken before and after irrigation; and the advance profile which was used to calculate the volume infiltrated with time. Volume infiltrated was compared with volume of cracks before irrigation.Linear advance and observed crack closing supported the hypothesis that infiltration approached zero after about 10 min. Volume of cracks was less than 20% of the volume infiltrated. Wetting front was 3–10 times greater than depth of observed surface cracks. There was no significant correlation between intake opportunity time and depth of infiltration, but elevation irregularities were related to infiltration.     

Prediction of surface irrigation advance using soil intake properties

A simple method for predicting surface irrigation advance trajectories using infiltration parameters and inflow rate as inputs was developed. The difference between the inflow rate and the sum of infiltration rates over the wetted portion of the field equals the flow rate available for advance. An average (characteristic) infiltration rate ahead of the wet portion is computed using a fixed time step. An advance step (for a fixed time step) is calculated from the ratio of the flow rate available for advance and characteristic infiltration rate. Predictions of advance by the proposed method were compared with field observations, with the kinematic wave model, and with analytical solutions of Philip and Farrell (1964). In all cases, the method provided predictions that were in good agreement with field observations, and performed similarly to the kinematic wave model. The method offers a simple and efficient tool for prediction and evaluation of surface irrigation systems under various soil types and variable inflow rates. The method is particularly useful for predictions in fields with spatially and temporally variable intake properties.     

冻融土壤Philip入渗模型参数的BP预报模型

为提高季节性冻土区冬、春季储水灌溉的灌水质量和效果,在季节性冻土区冻融期间进行了大田冻融土壤的系列入渗试验,获取了自然冻融条件下的大量土壤入渗试验数据,拟合得到了不同冻融条件下的Philip入渗模型参数,建立了入渗模型参数与土壤基本理化参数间的BP神经网络的预报模型,实现了基于土壤体积含水率、黏粒含量、土壤密度、土壤温度以及灌溉用水水温等基本理化参数对Philip入渗模型参数稳渗率A、吸渗率S的预报。所得到的预测值与实测值之间相对误差的平均值控制在7%以内。研究表明,利用冻融土壤条件下土壤常规理化参数对Philip入渗模型参数进行预报是可行的,可为季节性冻融土壤灌溉技术参数的确定提供有力支撑。     

基于DRAINMOD模型的不同灌排模式稻田水氮运移模拟

【目的】研究不同灌排模式稻田水氮动态变化,为南方稻作区节水减排提供科学依据。【方法】基于实测的田间灌排水量及氮素变化数据,采用Morris方法检测DRAINMOD模型水氮运移相关参数的灵敏度,并利用DRAINMOD模型对传统灌排模式和控制灌排模式下稻田水氮动态进行模拟。【结果】20~40 cm土层侧向饱和导水率对稻田水分运移模拟结果影响最大,弥散系数、反硝化参数、硝化反应参数、有机质适宜分解温度对稻田氮素运移模拟结果影响较大;DRAINMOD模型能够较好地模拟不同灌排模式稻田水氮动态变化、灌排水量、氮素径流总负荷模拟值与实际值差别小于11%;与传统灌排模式相比,控制灌排模式排水量减少33.0%~72.6%,灌水量减少9.7%~37.1%,铵态氮径流负荷减少43.6%~45.0%,硝态氮径流负荷分别减少29.8%~53.1%。【结论】控制灌排模式稻田节水减排效果较好,利用DRAINMOD模型进行不同灌排模式稻田水氮动态模拟可行有效。     

河套灌区畦田内不同位置土壤入渗特性及影响因素分析

为明确河套灌区畦田田块不同位置土壤的入渗特性,通过野外试验和室内检测对试验区田块不同位置土壤理化性质和入渗过程进行分析,并基于土壤入渗模型对试验区田块不同位置的土壤入渗过程进行拟合,同时探讨影响土壤入渗过程的影响因素.研究结果表明:试验区田块内不同位置土壤理化性质及入渗特性具有一定差异性且不同位置土壤入渗特性与土壤理化...     

基于神经网络和粒子群算法产流量模型构建

为了研究坡面产流量与各影响因子间定量关系,分析野外多尺度人工径流小区实测数据,采用人工神经网络及粒子群算法,建立了坡面产流量预测模型,产流量与坡长、坡宽、坡度、前期土壤含水量间可采用二次抛物线关系进行描述,与植被覆盖度、降雨量间分别采用幂函数和线性函数进行描述.另外采用加权相对差距和法确定了产流量BP神经网络模型最优拓扑结构及网络参数,建立了产流量BP神经网络模型,该模型模拟值与实测相对误差在±20%以内,预测精度较高.同时基于产流量与各单因子定量关系,建立了产流量经验模型,采用粒子群算法推求了模型未知参数,该经验模型相对误差主要在±30%以内,其精度略逊于BP神经网络模型.     

Real-time prediction of soil infiltration characteristics for the management of furrow irrigation

The spatial and temporal variations commonly found in the infiltration characteristic for surface-irrigated fields are a major physical constraint to achieve higher irrigation application efficiencies. Substantial work has been directed towards developing methods to estimate the infiltration characteristics of soil from irrigation advance data. However, none of the existing methods are entirely suitable for use in real-time control. The greatest limitation is that they are data intensive. A new method that uses a model infiltration curve (MIC) is proposed. In this method a scaling process is used to reduce the amount of data required to predict the infiltration characteristics for each furrow and each irrigation event for a whole field. Data from 44 furrow irrigation events from two different fields were used to evaluate the proposed method. Infiltration characteristics calculated using the proposed method were compared to values calculated from the full advance data using the INFILT computer model. The infiltration curves calculated by the proposed method were of similar shape to the INFILT curves and gave similar values for cumulative infiltration up to the irrigation advance time for each furrow. More importantly the statistical properties of the two sets of infiltration characteristics were similar. This suggests that they would return equivalent estimates of irrigation performance for the two fields and that the proposed method could be suitable for use in real-time control.     

基于HWSD的GSAC模型网格化产流参数估计与校正

针对基于网格的萨克拉门托模型(GSAC)产流参数难以估计的问题,提出利用世界和谐土壤数据库(HWSD)土壤属性数据估计和校正该模型产流参数的方法。首先,采用HWSD土粒百分含量和土壤质地分类数据估算流域各网格顶层(T层)与底层(S层)土壤的凋萎系数、田间持水量、饱和含水量等土壤水分常数;再采用一个气候指数和HWSD的T层张力水容量、田间持水量及凋萎系数推求GSAC模型上层厚度,继而利用上层厚度将流域各网格的HWSD土壤水分常数转换为GSAC模型上、下层土壤水分常数;最后利用GSAC模型上层厚度与转换了的土壤水分常数估计流域各网格的产流参数;在估计产流参数的同时,采用12个系数对这些产流参数进行校正,所有的校正系数通过自由搜索(FS)算法率定GSAC模型确定。呼兰河流域的应用结果表明:基于HWSD土壤属性数据估计GSAC模型网格化产流参数的方法简便易行,利用校正产流参数驱动的GSAC模型在率定期与验证期的纳什效率系数(NSEC)分别为0.81和0.83,与不校正产流参数情况相比,校正产流参数的GSAC模型能够取得更高的模拟精度。