Impact of soil heterogeneity on evapotranspiration and irrigation modeling using POLARIS and SSURGO-based soil hydraulic properties

IF 6.5 1区农林科学 Q1 AGRONOMY

Agricultural Water Management Pub Date : 2025-09-13 DOI:10.1016/j.agwat.2025.109806

Ramesh Dhungel , Ray G. Anderson , Andrew N. French , Todd H. Skaggs , Gregory E. Wang , Nan Li , Elia Scudiero

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引用次数: 0

Abstract

Accurate maps of soil hydraulic properties are needed to enable precise, site-specific modeling of crop water use. Most available maps (e.g., the USDA-NRCS Soil Survey Geographic Database (SSURGO)) have significant uncertainties that may limit their usefulness for implementing site-specific irrigation (I_rri). Recently, a probabilistic, high-resolution (30 m) soil property map of the contiguous United States (POLARIS) was developed. In this study, we compare the use of POLARIS and SSURGO for parameterizing a water and energy-balance model of simulated I_rri and simulated evapotranspiration (ET_s). The Backwards Averaged Iterative Two Source Energy Balance Solution (BAITSSS) model was applied to a major irrigated agricultural region (Yuma Valley of Arizona and the adjacent Bard region of California, ∼ 110 km²). The BAITSSS simulation covered a lettuce growing cycle between September and December 2019 (78 days) utilizing Landsat-based vegetation indices, North American Land Data Assimilation System (NLDAS) weather variables, and Parameter-elevation Relationships on Independent Slopes Model (PRISM) precipitation data. SSURGO-based soil hydraulic properties resulted in approximately a 7 % increase in field-averaged simulated seasonal ET_s and a 25 % increase in field-averaged seasonal simulated I_rri. The POLARIS-based simulations had higher I_rri efficiency and less drawdown of soil moisture prior to harvest. Overall, this study highlights uncertainties introduced by soil parameterization in ET_s and I_rri modeling and their role in agricultural water management.

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基于POLARIS和ssurgo的土壤水力特性对土壤异质性对蒸散和灌溉模拟的影响

需要精确的土壤水力特性图，以实现精确的、特定地点的作物用水建模。大多数可用的地图（例如，美国农业部- nrcs土壤调查地理数据库（SSURGO））都有很大的不确定性，这可能会限制它们在实施特定地点灌溉（Irri）方面的有用性。最近，开发了一个概率高分辨率（30 m）的美国连续土壤属性图（POLARIS）。在这项研究中，我们比较了使用POLARIS和SSURGO来参数化模拟Irri和模拟蒸散发（ETs）的水和能量平衡模型。后向平均迭代双源能量平衡解（BAITSSS）模型应用于一个主要的灌溉农业区（亚利桑那州的尤马山谷和邻近的加利福尼亚州巴德地区，约110 km2）。BAITSSS模拟涵盖了2019年9月至12月（78天）的生菜生长周期，利用基于landsat的植被指数、北美土地数据同化系统（NLDAS）天气变量和独立斜坡模型（PRISM）降水数据的参数-海拔关系。基于ssurgo的土壤水力特性导致田间平均模拟季节et增加了约7 %，田间平均季节性模拟Irri增加了25 %。基于polaris的模拟具有较高的Irri效率和较少的收获前土壤水分下降。总体而言，本研究强调了ETs和Irri模型中土壤参数化引入的不确定性及其在农业水资源管理中的作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Agricultural Water Management 农林科学-农艺学

CiteScore

12.10

自引率

14.90%

发文量

648

审稿时长

4.9 months

期刊介绍： Agricultural Water Management publishes papers of international significance relating to the science, economics, and policy of agricultural water management. In all cases, manuscripts must address implications and provide insight regarding agricultural water management.