Investigating Flood Impact on Crop Production under a Comprehensive and Spatially Explicit Risk Evaluation Framework
Abstract
:1. Introduction
2. Materials and Methods
2.1. Conceptual Model for Monitoring Flood Impacts on Crop Growth
2.2. Coupled Hydrological and 2D Hydraulic Model for Flooding Simulation
2.3. Random Forest Model for Identifying Flood Impact on Crop Production
2.4. The Study Area and Events
2.5. Data Acquisition
2.6. Study Framework
- (1)
- The calculation of integrated disturbance index (IDI). The integrated disturbance index (IDI) was applied to the MODIS EVI dataset for 17 years.
- (2)
- Flood Simulation. The spatial surface characteristics and precipitation were input into the coupled SCS-CN and 2D hydraulic model, and the flood process was simulated for MLYRB with GPU parallel computing.
- (3)
- The integrated impacts of flood on crop yield loss. Random forest was adopted to predict the crop damage extent with different flood characteristics.
3. Results
3.1. The Characteristics of Flood Disturbances on Crop Yields
3.2. Flood Simulation Results
3.3. The Relationship between Flood Characteristic and Crop Damage Extent
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Conflicts of Interest
References
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Distance (km) | <0.1 | [0.1, 0.2) | [0.2, 0.5) | [0.5, 1.0) | [1.0, 1.5) | [1.5, 2.0) | [1.5, 2.0) |
---|---|---|---|---|---|---|---|
Percentage | 7 | 13 | 28 | 47 | 62 | 74 | 83 |
Location | Flood Duration | Flow Velocity | Water Depth | Parameter Importance Rank | Flood Type | Crop Type | Flood Simulation Model. |
---|---|---|---|---|---|---|---|
Greece [120] 130 km2 | × | √ | √ | WD > FV | flash flood | Fruit trees, olive trees, tomatoes and green vegetables. | Mike Flood. |
Germany [137] 838 km2 | √ | √ | × | Did not mention. | flash flood | Wheat, barley, and corn. | 2D hydrodynamic model. |
Mexico [139] 649 km2 | √ | √ | √ | FD > FV | Long-duration | Corn. | Mike 21. |
Indonesia [129] 16,000 km2 | √ | √ | √ | WD > FV, WD > FD | Long-duration | Rice. | 2D hydraulic model. |
China [35] 2953 km2 | √ | √ | √ | FV > WD > FD | Long-duration | Soybean, corn, and rice. | 2D hydraulic model. |
China 159,000 km2 This research | √ | √ | √ | FD > FV > WD | Long-duration | Multiple crops. | 2D hydraulic model. |
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Wang, X.; Liu, Z.; Chen, H. Investigating Flood Impact on Crop Production under a Comprehensive and Spatially Explicit Risk Evaluation Framework. Agriculture 2022, 12, 484. https://doi.org/10.3390/agriculture12040484
Wang X, Liu Z, Chen H. Investigating Flood Impact on Crop Production under a Comprehensive and Spatially Explicit Risk Evaluation Framework. Agriculture. 2022; 12(4):484. https://doi.org/10.3390/agriculture12040484
Chicago/Turabian StyleWang, **, Zhanyan Liu, and Huili Chen. 2022. "Investigating Flood Impact on Crop Production under a Comprehensive and Spatially Explicit Risk Evaluation Framework" Agriculture 12, no. 4: 484. https://doi.org/10.3390/agriculture12040484