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Review: Computer-based models for managing the water-resource problems of irrigated agriculture

Revue: Modèles informatiques pour la gestion des problèmes de ressources en eau de l’agriculture irriguée

Revisión: Modelos basados en computadoras para el manejo de problemas del recurso agua en la agricultura bajo riego

评论:基于计算机的管理灌溉农业水资源问题的模型

Revisão: Modelos informatizados para gestão de problemas de recursos hídricos da agricultura irrigada

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Abstract

Irrigation is essential for achieving food security to the burgeoning global population but unplanned and injudicious expansion of irrigated areas causes waterlogging and salinization problems. Under this backdrop, groundwater resources management is a critical issue for fulfilling the increasing water demand for agricultural, industrial, and domestic uses. Various simulation and optimization approaches were used to solve the groundwater management problems. This paper presents a review of the individual and combined applications of simulation and optimization modeling for the management of groundwater-resource problems associated with irrigated agriculture. The study revealed that the combined use of simulation-optimization modeling is very suitable for achieving an optimal solution for groundwater-resource problems, even with a large number of variables. Independent model tools were used to solve the problems of uncertainty analysis and parameter estimation in groundwater modelling studies. Artificial neural networks were used to minimize the problem of computational complexity. The incorporation of socioeconomic aspects into the groundwater management modeling would be an important development in future studies.

Résumé

L’irrigation est essentielle pour assurer la sécurité alimentaire de la population mondiale en plein essor mais un développement non planifié et non judicieux des zones irriguées provoque des problèmes de colmatage et de salinisation. Dans ce contexte, la gestion des ressources en eaux souterraines est une question cruciale pour satisfaire la demande croissante en eau à des fins agricoles, industrielles et domestiques. Diverses approches de simulation et d’optimisation ont été utilisées pour résoudre les problèmes de gestion des eaux souterraines. Cet article présente une revue des applications simples et combinées des modèles de simulation et d’optimisation pour la gestion des problèmes de ressources en eaux souterraines associés à une agriculture irriguée. L'étude a révélé que l'utilisation combinée de la modélisation de simulation et d'optimisation est très appropriée pour parvenir à une solution optimale pour les problèmes de ressources souterraines, même avec un grand nombre de variables. Des outils de modèle indépendant ont été utilisés pour résoudre les problèmes d’analyse d’incertitude et d’estimation des paramètres dans les études de modélisations des eaux souterraines. Les réseaux de neurones artificiels ont été utilisés pour minimiser le problème de la complexité de calcul. L’incorporation des questions socio-économiques dans les modèles de gestion des eaux souterraines serait un développement important dans les études futures.

Resumen

El riego es fundamental para alcanzar la seguridad alimentaria de una población mundial en crecimiento, pero la expansión no planificada y poco juiciosa de las zonas de riego causa problemas de anegamiento y salinización. Bajo este contexto, la gestión de los recursos hídricos subterráneos es un tema crítico para cumplir con la creciente demanda de agua para usos agrícolas, industriales y domésticos. Se utilizaron diversos enfoques de simulación y de optimización para resolver los problemas de gestión de las aguas subterráneas. Este artículo presenta una revisión de las aplicaciones individuales y combinadas de modelado de simulación y de optimización para la gestión de los problemas de los recursos de las aguas subterráneas asociados con la agricultura bajo riego. El estudio reveló que el uso combinado de modelos de simulación y de optimización es muy adecuado para el logro de una solución óptima para los problemas de los recursos hídricos subterráneos, incluso con un gran número de variables. Se utilizaron herramientas independientes del modelo para resolver los problemas de análisis de incertidumbre y la estimación de parámetros en los estudios de modelización de las aguas subterráneas. Las redes neuronales artificiales se utilizan para minimizar el problema de la complejidad computacional. La incorporación de los aspectos socioeconómicos en el modelado de la gestión de las aguas subterráneas sería un importante desarrollo en los futuros estudios.

摘要

面对世界人口的迅速增长,灌溉对于实现粮食安全必不可少,然而,灌溉区无计划的和草率的扩张导致了水涝和盐碱化问题。在此背景下,地下水资源管理是实现和增加农业、工业和家庭用水需求的重要一环。使用了各种模拟和最优化方法解决地下水管理问题。本文论述了与灌溉农业有关的地下水资源问题管理单个和组合的模拟应用和最优化模拟。研究揭示,模拟-最优化模拟的联合应用对于实现地下水资源问题的最优化解决非常适合,即使这些问题具有大量的变量。利用独立的模型工具解决地下水模拟研究中不确定分析问题和参数估算问题。采用人工神经网络使计算复杂性的问题减少到最小。把社会经济方面等因素纳入到地下水管理模拟中将是未来研究中的重点。

Resumo

A irrigação é essencial para alcançar a segurança alimentar para a população global crescente, mas a expansão não planejada e imprudente de áreas irrigadas causa problemas de encharcamento e salinização. Sob esse pano de fundo, o gerenciamento de recursos hídricos subterrâneos é uma questão crítica para a satisfação da crescente demanda de água para usos agrícolas, industriais e domésticos. Várias abordagens de simulação e otimização foram usadas para resolver os problemas de gestão das águas subterrâneas. Este trabalho apresenta uma revisão das aplicações individuais e combinadas de modelagem de simulação e otimização para a gestão de problemas de recursos hídricos subterrâneos associados com a agricultura irrigada. O estudo revelou que o uso combinado de modelagem de simulação-otimização é muito adequado para alcançar uma solução ideal para os problemas de recursos hídricos subterrâneos, mesmo com um grande número de variáveis. Ferramentas de modelagem independentes foram usadas para resolver os problemas de análise de incerteza e de estimação de parâmetros em estudos de modelagem de águas subterrâneas. Redes neurais artificiais foram usadas para minimizar o problema da complexidade computacional. A incorporação de aspectos socioeconômicos para a modelagem da gestão de águas subterrâneas seria um desenvolvimento importante em estudos futuros.

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The author extends sincere gratitude to the editors and reviewers of the journal, whose constructive and insightful comments and suggestions led to considerable improvement to the early versions of the manuscript.

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    Ajay Singh

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Singh, A. Review: Computer-based models for managing the water-resource problems of irrigated agriculture. Hydrogeol J 23, 1217–1227 (2015). https://doi.org/10.1007/s10040-015-1270-1

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