Including Farmer Irrigation Behavior in a Sociohydrological Modeling Framework With Application in North India

Including Farmer Irrigation Behavior in a Sociohydrological Modeling Framework With Application in North India
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将农民灌溉行为纳入社会水文模型框架并在印度北部应用

DOI:
10.1029/2018wr023038
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发表时间:
2018
影响因子:
5.4
通讯作者:
O'Keeffe J
O'Keeffe J
中科院分区:
地球科学1区
文献类型:
--
作者:
O'Keeffe J

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了解用水者的行为及其潜在后果对于制定适当的水资源管理方案十分重要。计算模型通常用于辅助水资源管理决策;然而,虽然自然过程越来越好地建模,但人类行为的纳入却落后了。改进模型中灌溉水用户行为的表示可以为农业部门的灌溉管理提供更准确和相关的信息。本文概述了一个模型,概念化和程序化观察农民灌溉的做法,突出环境和行为之间的影响和相互作用。它是采用自下而上的方法开发的,通过实地经验和印度北方北方邦的农民互动获得信息。观察到的过程和动态转化为简约算法,代表现场条件,并提供了一个工具,政策分析和水资源管理。该模型框架适用于四个地区在北方邦,并用于评估气候和灌溉行为的变化对水资源和农民生计的潜在影响。结果表明,用水者行为的变化可能对水资源、作物产量和农民收入产生比未来气候变化更大的影响。此外,增加提取可能是可持续的,但其可行性在整个研究区域各不相同。通过模拟用水者、灌溉官员和农业实践行为之间的反馈和相互作用,这项工作强调了直接将用水者行为纳入政策制定和业务工具以实现水和生计安全的重要性。
Understanding water user behavior and its potential outcomes is important for the development of suitable water resource management options. Computational models are commonly used to assist water resource management decision making; however, while natural processes are increasingly well modeled, the inclusion of human behavior has lagged behind. Improved representation of irrigation water user behavior within models can provide more accurate and relevant information for irrigation management in the agricultural sector. This paper outlines a model that conceptualizes and proceduralizes observed farmer irrigation practices, highlighting impacts and interactions between the environment and behavior. It is developed using a bottom‐up approach, informed through field experience and farmer interaction in the state of Uttar Pradesh, northern India. Observed processes and dynamics were translated into parsimonious algorithms, which represent field conditions and provide a tool for policy analysis and water management. The modeling framework is applied to four districts in Uttar Pradesh and used to evaluate the potential impact of changes in climate and irrigation behavior on water resources and farmer livelihood. Results suggest changes in water user behavior could have a greater impact on water resources, crop yields, and farmer income than changes in future climate. In addition, increased abstraction may be sustainable but its viability varies across the study region. By simulating the feedbacks and interactions between the behavior of water users, irrigation officials and agricultural practices, this work highlights the importance of directly including water user behavior in policy making and operational tools to achieve water and livelihood security.
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