.

一、个人简介

王永强，男，汉族，讲师，内蒙古达拉特旗人，中共党员。2017年6月毕业于内蒙古农业大学农业水土工程专业，获工学学士学位；2023年6月毕业于西北农林科技大学农业水土工程专业，获工学博士学位；2023年9月进入内蒙古农业大学农学院从事教学科研工作。现担任《Agriculture, Ecosystems and Environment》和《Field Crops Research》杂志审稿人。

二、研究领域

1．水肥高效利用

2．农业生态系统模拟

3．作物模型和多源遥感数据同化

三、科研课题

1. 农业部公益性行业科研专项项目：河谷平原多熟区小麦玉米高效节水灌溉技术研究及应用（201503124），2015-2019，参与。

2. 国家科技支撑计划：规模化灌溉管网优化设计及安全调控技术（2015BAD24B02-01），2015-2019，参与。

四、论文著作

1. Wang, Y., Sun, K., Gao, Y., Liu, R., Shen, H., Xing, X., & Ma, X*. (2024). Improving crop model accuracy in the development of regional irrigation and nitrogen schedules by using data assimilation and spatial clustering algorithms. Agricultural Water Management, 291, 108645.

2. Wang, Y., Huang, D., Sun, K., Shen, H., Xing, X., Liu, X., & Ma, X*. (2023). Multiobjective optimization of regional irrigation and nitrogen schedules by using the CERES-Maize model with crop parameters determined from the remotely sensed leaf area index. Agricultural Water Management, 286, 108386.

3. Wang, Y., Zhou, H., Ma, X*., & Liu, H. (2023). Combining Data Assimilation with Machine Learning to Predict the Regional Daily Leaf Area Index of Summer Maize (Zea mays L.). Agronomy, 13(11), 2688.

4. Wang, Y., Huang, D., Zhao, L., Shen, H., Xing, X., & Ma, X*. (2022). The distributed CERES-Maize model with crop parameters determined through data assimilation assists in regional irrigation schedule optimization. Computers and Electronics in Agriculture, 202, 107425.

5. Wang, Y., Huang, D., Zhang, X., Ma, X*. (2021). Using UAV-derived vegetation indices texture metrics and plant height to estimate maize leaf area index across agronomic treatments. Fresenius Environmental Bulletin. 31(3), 2790-2803.

6. Wang, Y., Guo, F., Shen, H., Xing, X., & Ma, X*. (2021). Global sensitivity analysis and evaluation of the DSSAT model for summer maize (Zea mays L.) under irrigation and fertilizer stress. International Journal of Plant Production, 15(4), 523-539.

7. Wang, Y., Liu, Y., & Ma, X*. (2021). Updated kriging-assisted shape optimization of a gravity dam. Water, 13(1), 87.

8. Wang, Y., Zhao, R., Liu, Y., Chen, Y., & Ma, X*. (2019). Shape optimization of single-curvature arch dam based on sequential kriging-genetic algorithm. Applied Sciences, 9(20), 4366.

9. Wang, Y., Yang, T., Zhao, R., Jiang, K., & Ma, X*. (2019). A New Method for Determining Critical Irrigation Period for Large Regions Based on Precipitation-Meteorological Yield Integral Regression Relationship—A Case Study of Winter Wheat in Shaanxi Province, China. Applied Sciences, 9(23), 5181.

10. 王永强, 马孝义*, 李青峰, 柳烨. (2018). 基于 Kriging 模型的重力坝结构优化. 中国农村水利水电, 138-142.

11. 王永强等副主编，基于盐渍化灌区农田生态安全的有机无机肥配施模式研究，中国水利水电出版社，北京，2023.9.

五、联系方式

通讯地址：内蒙古呼和浩特市赛罕区学苑东街275号农学院

邮编：010019

邮箱：yqwang@imau.edu.cn