Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR029004 |
Short and Medium Range Irrigation Scheduling using Stochastic Simulation‐Optimization Framework with farm‐scale Ecohydrological Model and Weather Forecasts | |
Adrija Roy; Parag Narvekar; Raghu Murtugudde; Vilas Shinde; Subimal Ghosh | |
2021-04-15 | |
发表期刊 | Water Resources Research |
出版年 | 2021 |
英文摘要 | Despite the remarkable improvements in skillful weather forecasts, their uses in irrigation water management at a farm scale are still limited. This is attributable to the scale mismatch between weather and hydrologic models as well complexities in farmscale ecohydrological processes. Here, we have developed a simulation‐optimization algorithm for minimizing irrigation water application using short to medium range forecasts by determining the conditional probability density functions of the rainfall and subsequently the soil moisture for the days in forecast range. With the forecasted soil moisture information, the model ensures that the probability of crops undergoing water stress is less than a prescribed threshold. The optimization model includes a farmscale ecohydrological model, which computes daily evapotranspiration, runoff, and leakage based on a probabilistic description of rainfall through Monte‐Carlo Simulations. After calibrating and validating the eco‐hydrological model with past data obtained from the farmers, this proposed optimization framework was employed to test the outcome for two pilot sites in Nashik, Maharashtra, India. We found that using the proposed framework, irrigation water use can be reduced by 10‐30% as compared to that resulting from the conventional strategies used by the farmers, without significant loss in crop yields, by almost always maintaining the soil moisture at or above the prescribed threshold. Considering that irrigation accounts for over 80% of the total water use worldwide, the value of such an approach as a decision‐support tool for irrigation optimization is self‐evident. We also posit that the co‐production of this tool with the farmers increases its usability and credibility. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/322793 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Adrija Roy,Parag Narvekar,Raghu Murtugudde,等. Short and Medium Range Irrigation Scheduling using Stochastic Simulation‐Optimization Framework with farm‐scale Ecohydrological Model and Weather Forecasts[J]. Water Resources Research,2021. |
APA | Adrija Roy,Parag Narvekar,Raghu Murtugudde,Vilas Shinde,&Subimal Ghosh.(2021).Short and Medium Range Irrigation Scheduling using Stochastic Simulation‐Optimization Framework with farm‐scale Ecohydrological Model and Weather Forecasts.Water Resources Research. |
MLA | Adrija Roy,et al."Short and Medium Range Irrigation Scheduling using Stochastic Simulation‐Optimization Framework with farm‐scale Ecohydrological Model and Weather Forecasts".Water Resources Research (2021). |
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