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首页> 外文学位 >Integrated economic decision support system model for determining irrigation application and projected agricultural water demand on a watershed scale.
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Integrated economic decision support system model for determining irrigation application and projected agricultural water demand on a watershed scale.

机译：用于确定灌溉应用和分水岭规模的预计农业用水需求的综合经济决策支持系统模型。

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摘要

This study involves the development of an irrigation economic model used to determine the estimated net benefit of various irrigation systems when used in temperate zones. The model processes SWAT (Soil and Water Assessment Tool) output data together with user supplied economic data as a basis for identifying agricultural fields likely to result in the greatest economic return for irrigation installations, based on irrigation installation costs, water costs, and the expected revenue from increased yields due to applied water. The model is capable of not only identifying those agricultural fields within the area of interest likely to result in the greatest net benefit, but is able to prescribe the most profitable irrigation system from an array of possible systems, based on user supplied economic and performance data. The model can also be used to determine the optimal average monthly irrigation volume to be applied to a given field, by balancing the expected revenue due to the estimated yield increase as a result of irrigation application verses the cost of water. The model is applied in this study to a range of water cost levels and crop types from which general conclusions about the use of irrigation in temperate zones are made.; The primary product of this study is an irrigation economic tool capable of determining the profitability of irrigation installations verses non-irrigated systems for a wide range of hydrological and environmental conditions. The project included the collection and compilation of required data on land-use, topography, and soil properties, into a GIS project, used as a data input basis for the SWAT model. For demonstration purposes the model is applied to the Pocomoke River basin located in the Coastal Plain of Maryland's Eastern Shore. Input data for the model is taken from multiple SWAT simulations for various crops, modeled with a statistically generated artificial weather pattern typical of the region. Further analysis is conducted on the environmental impact of irrigation, using SWAT model simulations over a range of irrigation application levels. General conclusions are drawn on the effects of irrigation on water quality parameters and the nutrient/sediment transport processes involved.
机译：这项研究涉及灌溉经济模型的开发，该模型用于确定在温带地区使用时各种灌溉系统的估计净收益。该模型处理SWAT（土壤和水评估工具）输出数据以及用户提供的经济数据，以此为基础，根据灌溉安装成本，水费和预期成本，确定可能为灌溉装置带来最大经济回报的农田。用水带来的收益增加带来的收入。该模型不仅能够识别感兴趣区域内可能带来最大净收益的那些农田，而且能够基于用户提供的经济和绩效数据，从一系列可能的系统中规定最有利可图的灌溉系统。通过平衡由于灌溉应用带来的估计产量增加与水成本的关系而产生的预期收益，该模型还可以用于确定要应用于给定田地的最佳平均每月灌溉量。该模型在本研究中应用于一系列水费水平和农作物类型，由此得出有关温带地区灌溉使用的一般结论。这项研究的主要产品是一种灌溉经济工具，能够确定各种水文和环境条件下灌溉设施与非灌溉系统相比的获利能力。该项目将有关土地利用，地形和土壤特性的所需数据收集和汇总到一个GIS项目中，用作SWAT模型的数据输入基础。为了演示目的，将模型应用于位于马里兰州东海岸沿海平原的Pocomoke河盆地。该模型的输入数据来自多种作物的多种SWAT模拟，并使用该地区典型的统计生成的人工天气模式进行了建模。在一系列灌溉应用水平上，使用SWAT模型模拟对灌溉的环境影响进行了进一步分析。关于灌溉对水质参数和所涉及的养分/泥沙输送过程的影响得出了一般性结论。

著录项

  • 作者

    Hanna, Kalim Nabil.;

  • 作者单位

    University of Maryland, College Park.;

  • 授予单位 University of Maryland, College Park.;
  • 学科 Economics Agricultural.; Engineering Agricultural.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 431 p.
  • 总页数 431
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业经济;农业工程;
  • 关键词

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