Optimal Operation Model of Drainage Works for Minimizing Waterlogging Loss in Paddy Fields

Zhenyang Liu,Zewei Jiang,Fangping Liu,Juzeng Xu,Yujiang Xiong,Shihong Yang

doi:10.3390/w13202811

Abstract

The risk of flood or waterlogging in irrigation districts has increased due to global climate change and intensive human activities. A Model of Optimal Operation of Drainage Works (MOODW) for flat irrigation district was established by incorporating the hydrological model of waterlogging process and waterlogging loss estimation, which was solved by an optimization method of genetic algorithm. The model of waterlogging process was built based on a modified Tank model and hydrodynamic model for the ditch-river system. The waterlogging loss is calculated under the condition of inconstant inundated depth by linear interpolation. The adaptive genetic algorithm with the global optimization function was selected to solve the model. With an extreme rainfall events in Gaoyou irrigation district as cases, results showed that operation time and numbers of pumps increased; thus, operating costs were 1.4 times higher than before, but the yield loss of rice decreased by 35.4% observably. Finally, the total waterlogging loss was reduced by 33.8% compared with the traditional operation of waterlogging work. The most significant improvement was found in units with high waterlogging vulnerability. The MOODW can provide the waterlogging information visually and assist the district manager in making a reasonable decision.

Highlights

Flood is one of the main natural disasters because of its high frequency, wide distribution, heavy disaster degree, and significant economic loss
An optimal operation model of drainage work in the flat irrigated district was established by incorporating the tank model and yield loss estimation model
Model of Optimal Operation of Drainage Works (MOODW) aims to minimize the sum of loss caused by waterlogging and energy cost of drainage works by scheduling the worktime of each pumping station

Summary

Introduction

Flood is one of the main natural disasters because of its high frequency, wide distribution, heavy disaster degree, and significant economic loss. The agricultural system is more sensitive to flood disasters than urban or other systems and is essential to disaster research [1,2,3]. More than one-third of the world’s irrigated land suffers from waterlogging worldwide [4,5], reporting that waterlogging affected the crop in many ways, leading to the decline in crop yield. Waterlogging can cause different degrees of harm to different kinds of crops or plants in different duration periods. P. China, floods in China affected 47.666 million people and 6,684,000 hectares of crops, of which 1,3215,000 hectares failed to harvest in 2019. The direct economic loss was 192.27 billion yuan, accounting for 0.19% of that year’s GDP [6]

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Discussion

Conclusion