In drip-irrigated systems, the understanding of the soil wetting pattern is essential in defining the area effectively irrigated, the spacing between the emitters and their installation depth, and the irrigation rate. Thus, this study aims to estimate soil hydraulic characteristics through inverse modeling of an analytical equation used in wetting bulb simulation based on soil moisture measurements obtained in the field. The parameters of the Gardner model, which describes the unsaturated soil hydraulic conductivity, and the van Genuchten model that describes the soil moisture retention curve, were estimated by inverse modeling techniques. The following options were considered: (A) estimating parameter β while considering the other parameters, K_o, θ_r, θ_s, α, n, and m, as known and obtained experimentally; (B) estimating parameters K_o and β while considering the experimental retention curve as known; (C) estimating parameters K_o, β, α, n, and m while considering the values of the θ_r and θ_s volumetric moisture as known; (D) estimating all the parameters of Gardner and van Genuchten models (K_o, θ_r, θ_s, α, n, and m). The results indicate that option D showed better concordance between the estimated and observed moisture values. Thus, the inverse modeling of the analytical equation is an important tool for irrigation design and management.

在滴灌系统中，了解土壤湿润模式对于定义有效灌溉区域，排放源之间的间距及其安装深度以及灌溉速率至关重要。因此，本研究旨在通过基于在田间获得的土壤湿度测量值的湿球模拟中使用的解析方程的逆模型来估计土壤水力特性。通过逆建模技术估算了描述非饱和土壤导水率的Gardner模型和描述土壤水分保持曲线的van Genuchten模型的参数。考虑了以下选项：（A）在考虑其他参数K _o，θ的同时估计参数β_[R ， θ_小号， α， Ñ，和米，如已知的，并通过实验获得的; （B）在考虑已知的实验保留曲线的同时估算参数K _o和β；（C）估计参数ķ _ø， β， α， Ñ，和米同时考虑的值θ _{- [R}和θ_小号体积含水如已知的; （d）估计Gardner和求算Van Genuchten模型的所有参数（ ķ _ø， θ _ř，θ_小号，α，Ñ，和米）。结果表明，选项D在估计和观察到的水分值之间显示出更好的一致性。因此，解析方程的逆建模是灌溉设计和管理的重要工具。