Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)

Dynamic Evaluation of Drought Disaster Comprehensive Risk for Soybean in Northeast China

Authors
Kaiwei Li1, 2, Jiquan Zhang1, 2, *
1School of Environment, Northeast Normal University, Changchun, China
2Institute of Natural Disaster Research, Northeast Normal University, Changchun, China
*Corresponding author. Email: zhangjq022@nenu.edu.cn
Corresponding Author
Jiquan Zhang
Available Online 21 July 2023.
DOI
10.2991/978-94-6463-194-4_12How to use a DOI?
Keywords
Drought; Comprehensive Risk; Dynamic Evaluation; Northeast Soybean
ABSTRACT

Drought was the main natural disaster causing reduced soybean production in Northeast China. Agricultural drought risk assessment can help to improve regional disaster management capacity and thus reduce food security risks and economic losses. In this paper, we established a drought risk assessment model for different fertility stages of soybean based on the risk assessment theory, the integrated drought index of the "soil-crop-atmosphere" continuum and the CROPGRO-Soybean model, and determined the dynamic evaluation index system of soybean drought risk and the zoning levels (light, medium, severe and very severe). The dynamic evaluation of drought risk in soybean in Northeast China during the period 1982-2020 was carried out in different fertility stages. The results showed that the drought risk in the north-central part of the study area was extremely high in the early reproductive period, which was also the most exposed area for soybean cultivation, and could be reduced by late sowing or irrigation. The drought risk in the central and southern part of the Songliao Plain was at the severe and very severe levels due to less rainfall and higher temperatures. In the late reproductive stage, the very severe drought risk areas are mainly concentrated in the central and western part of Jilin Province and the area around Tongliao and Chifeng in Inner Mongolia. Improving irrigation capacity and input levels can enhance local disaster prevention and mitigation capabilities, thereby reducing the drought risk of soybean production. In this study, the drought integrated disaster risk of northeastern soybean was dynamically assessed by reproductive stage, which will provide a scientific basis for efficient and high quality production, disaster prevention and mitigation of soybean.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
21 July 2023
ISBN
10.2991/978-94-6463-194-4_12
ISSN
2352-5428
DOI
10.2991/978-94-6463-194-4_12How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Kaiwei Li
AU  - Jiquan Zhang
PY  - 2023
DA  - 2023/07/21
TI  - Dynamic Evaluation of Drought Disaster Comprehensive Risk for Soybean in Northeast China
BT  - Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)
PB  - Atlantis Press
SP  - 77
EP  - 83
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-194-4_12
DO  - 10.2991/978-94-6463-194-4_12
ID  - Li2023
ER  -