A Drain Spacing Tool That Estimates the Optimum Subsurface Drain Spacing for Maximum Profit

IF 1.2 4区 农林科学 Q3 AGRICULTURAL ENGINEERING
E. Ghane, A. Nejadhashemi, Ian Kropp
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Abstract

Highlights An empirical equation was embedded in a user-friendly tool to estimate the site-specific design drainage rate. The site-specific design drainage rate was based on the local soil, weather, and economics of the area of interest. The tool uses the site-specific design drainage rate to estimate the optimum drain spacing. The optimum drain spacing maximizes the economic return on investment. Abstract. Properly estimating the subsurface drain spacing is critical to optimizing crop production. The Hooghoudt equation can be used in humid climates to approximate the drain spacing. However, the application of this equation has been limited due to site-specific data requirements and because it is a complicated process that is not usually practical for practitioners. Traditionally, drainage contractors have chosen a drain spacing without using the Hooghoudt equation. The objective of this article is to develop a user-friendly decision-support tool that estimates the site-specific optimum drain spacing for maximum economic return on investment. We developed the Drain Spacing Tool for the Midwest USA based on the Hooghoudt equation and site-specific inputs. The tool automatically acquires the site-specific equivalent saturated hydraulic conductivity of the soil profile and depth to the restrictive layer from the gSSURGO database, and the user manually enters the desired drain depth. The site-specific input of design drainage rate (DDR), that is required in the Hooghoudt equation, is estimated from an empirical equation that was developed from a DRAINMOD modeling study. The site-specific inputs for the empirical equation include site-specific 30-year average growing-season rainfall, drain depth, equivalent saturated hydraulic conductivity, and depth to the restrictive layer, all of which are automatically acquired from gSSURGO, except for the rainfall data, which was acquired from the PRISM Climate Group. The site-specific DDR value from the empirical equation was then used in the Hooghoudt equation to estimate the optimum drain spacing that maximizes economic return on investment. In conclusion, the tool estimates the site-specific optimum drain spacing based on the local soil, weather, and economics of the area of interest. Keywords: Decision-support tool, Design drainage rate, DRAINMOD, Farm profitability, Tile drainage.
一种估算最佳地下排水间距以获得最大利润的排水间距工具
在一个用户友好的工具中嵌入了一个经验方程,以估计特定场地的设计排水率。场地特定的设计排水速率是基于当地的土壤、天气和感兴趣地区的经济状况。该工具使用特定场地的设计排水速率来估计最佳排水间距。最佳排水间距使投资经济回报最大化。摘要合理估算地下排水间距对优化作物产量至关重要。Hooghoudt方程可以在潮湿的气候条件下用来近似排水管间距。然而,由于特定地点的数据要求,并且由于这是一个复杂的过程,通常对从业人员来说并不实际,因此该方程的应用受到限制。传统上,排水承包商在选择排水间距时不使用Hooghoudt方程。本文的目的是开发一种用户友好的决策支持工具,用于估计特定地点的最佳排水间距,以获得最大的投资经济回报。我们根据Hooghoudt方程和特定场地的输入,为美国中西部开发了排水间距工具。该工具会自动从gSSURGO数据库中获取特定地点的土壤剖面和限制层深度的等效饱和水力导率,然后用户手动输入所需的排水深度。Hooghoudt方程中所要求的设计排水率(DDR)的特定场地输入是根据一个经验方程估算的,该经验方程是由一个排水模型研究开发的。经验方程的特定站点输入包括特定站点的30年平均生长期降雨量、排水深度、等效饱和水力导率和到限制层的深度,除降雨数据来自PRISM气候组外,其他数据均由gSSURGO自动获取。然后将经验方程中特定地点的DDR值用于Hooghoudt方程中,以估计使投资经济回报最大化的最佳排水间距。总之,该工具根据当地土壤、天气和相关地区的经济状况估算出特定地点的最佳排水间距。关键词:决策支持工具,设计排水率,排水mod,农场盈利能力,瓷砖排水
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CiteScore
3.10
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