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A dynamic model for water management at the farm level integrating strategic, tactical and operational decisions

机译：农场级水管理的动态模型，整合了战略，战术和运营决策

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Farming systems are complex and have several dimensions that interact in a dynamic and continuous manner depending on farmers' management strategies. This complexity peaks in Indian semi-arid regions, where small farms encounter a highly competitive environment for markets and resources, especially unreliable access to water from rainfall and irrigation. NAMASTE, a dynamic computer model for water management at the farm level, was developed to reproduce interactions between decisions (investment and technical) and processes (resource management and biophysical) under scenarios of climate-change, socio-economic and water-management policies. The most relevant and novel aspects are i) system-based representation of farming systems, ii) description of dynamic processes via management flexibility and adaptation, iii) representation of farmers' decision-making processes at multiple temporal and spatial scales, iv) management of shared resources. NAMASTE's ability to simulate farmers' adaptive decision-making processes is illustrated by simulating a virtual Indian village composed of two virtual farms with access to groundwater. (c) 2017 Elsevier Ltd. All rights reserved.
机译：农业系统是复杂的，具有多个维度，这些维度根据农民的管理策略以动态，连续的方式相互作用。这种复杂性在印度半干旱地区最为严重，那里的小农场面临着激烈的市场和资源竞争环境，尤其是降雨和灌溉无法可靠地获得水。 NAMASTE是农场一级水资源管理的动态计算机模型，其开发目的是在气候变化，社会经济和水资源管理政策的情景下，重现决策（投资和技术）与流程（资源管理和生物物理）之间的相互作用。最相关和新颖的方面是：i）基于系统的耕作系统表示，ii）通过管理灵活性和适应性描述动态过程，iii）代表农民在多个时空尺度上的决策过程，iv）管理耕作过程。共享资源。 NAMASTE模拟农民的适应性决策过程的能力通过模拟一个虚拟的印度村庄来实现，该村庄由两个拥有地下水的虚拟农场组成。 （c）2017 Elsevier Ltd.保留所有权利。

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