（1）国家重点研发计划课题“黑土区多尺度景观结构协调的生态屏障优化构建技术”子课题“黑土区恢复力体系构建及地力提升的生态屏障优化技术”（No.2024YFD1501702-04），2024.12-2027.11，80万，主持【在研】

（2）国家重点研发计划课题“松嫩平原北部黑土增碳与肥沃耕层构建技术及配套装备”子课题研究任务“黑土耕层水库增容技术研发”（No.2023YFD1501004-02-02），2023.12-2028.11，50万，主持【在研】

（3）国家自然科学基金面上项目“区域水-土-能源-粮食耦合系统风险特征识别及其调控机理研究——以黑龙江省为例”，2022.1-2025.12，58万，（No. 52179008）主持【在研】

（4）国家重点研发计划课题“大面积农业灌溉的地表水与地下水联合调控”专题4“农业灌溉系统用水效率驱动机制及其精细化调控模式研究”（No.2017YFC0406002-04），2017.7-2020.12，50万，主持【已结题】

（5）黑龙江省泥河水库管理处委托横向课题“泥河水库水环境质量评估及其治理策略研究”，2024.1-2027.10，10.5万，主持【在研】

（6）哈尔滨市水利规划设计研究院有限公司委托横向课题“木兰县香磨山灌区灌溉用水效率评价及其提升路径研究”，2019.5-2021.12，13.5万，主持【在研】

（1）2024年8月，“区域农业水土资源复合系统韧性诊断与调控”获龙江水利科技进步一等奖，排名第一。

（2）2023年10月，“寒区农业水资源绿色高效协同调控模式”获农业节水科技一等奖，排名第五。

（3）2020年12月，“寒区水资源高效利用关键技术创新与应用”获黑龙江省科技进步一等奖，排名第二。

（1）Muhammad Abrar Faiz#, Liangliang Zhang#, Dong Liu*, Ning Ma*, et al. Revisiting the composite drought index for improving drought monitoring[J]. Journal of Hydrology, 2025, 652:132707. 【SCI, 中科院大类一区】

（2）Wenchao Ru#, Liangliang Zhang#, Dong Liu*, Nan Sun*, et al. New approach for regional water-energy-food nexus security assessment:Enhancing the random forest model with the aquila optimizer algorithm[J]. Agricultural Water Management, 2024, 301:108946. 【SCI, 中科院大类一区】

（3）Zhiqin Zhang#, Liangliang Zhang#, Dong Liu*, Nan Sun*, et al. Measurement and analysis of regional water-energy-food nexus resilience with an improved hybrid kernel extreme learning machine model based on a dung beetle optimization algorithm[J]. Agricultural Systems, 2024, 218:103966. 【SCI, 中科院大类一区】

（4）Chunqing Wang#, Kexin Wang#, Dong Liu*, Liangliang Zhanga *, et al. Development and Application of a Comprehensive Assessment Method of Regional Flood Disaster Risk Based on a Refined Random Forest Model Using Beluga Whale Optimization[J]. Journal of Hydrology, 2024, 633:130963. 【SCI, 中科院大类一区】

（5）Maoxun Li#, Zuowei Zhang#, Dong Liu*, Liangliang Zhang*, et al. Optimization of agricultural planting structure in irrigation areas of Heilongjiang province considering the constraints of water resource system resilience[J]. Journal of Cleaner Production, 2024, 434::140329. 【SCI, 中科院大类一区】

（6）Di Wu#, Zuowei Zhang#, Dong Liu*, Liangliang Zhang*, et al. Calculation and analysis of agricultural carbon emission efficiency considering water–energy–food pressure: Modeling and application[J]. Science of the Total Environment, 2024, 907: 167819. 【SCI, 中科院大类一区】

（7）Tianyu Sun#, Deping Liu#, Dong Liu*, Liangliang Zhang*, et al. A new method for flood disaster resilience evaluation: A hidden markov model based on Bayesian belief network optimization[J]. Journal of Cleaner Production, 2023, 412: 137372. 【SCI, 中科院大类一区】

（8）Dong Liu#, Tianyu Sun#, Deping Liu*, Qiang Fu*, et al. A new method to analyze the driving mechanism of flood disaster resilience and its management decision-making[J]. Journal of Hydrology, 2022, 612: 128134. 【SCI, 中科院大类一区】

（9）Dan Xu#, Jilong Liu#, Dong Liu*, Qiang Fu*, et al. Measurement and analysis of the resilience characteristics for a regional agricultural soil-water resource composite system[J]. Journal of Environmental Management, 2022, 318: 115622. 【SCI, 中科院大类一区】

（10）Dan Xu#, Deping Liu#, Dong Liu*, Qiang Fu*, et al. New method for diagnosing resilience of agricultural soil-water resource composite system: Projection pursuit model modified by sparrow search algorithm[J]. Journal of Hydrology, 2022, 610: 127814. 【SCI, 中科院大类一区】

（11）Dong Liu#, Mingliang Li#, Kexin Wang*, Qiang Fu*, et al. Evaluation and analysis of irrigation water use efficiency based on an extreme learning machine model optimized by the spider monkey optimization algorithm[J]. Journal of Cleaner Production, 2022, 330: 129935. 【SCI, 中科院大类一区】

（12）Shoaib Ali#, Dong Liu*, Qiang Fu, et al. Constructing high-resolution groundwater drought at spatio-temporal scale using GRACE satellite data based on machine learning in the Indus Basin[J]. Journal of Hydrology, 2022, 612: 128295. 【SCI, 中科院大类一区】

（13）Shoaib Ali#, Qiumei Wang#, Dong Liu*, Qiang Fu*, et al. Estimation of spatio-temporal groundwater storage variations in the Lower Transboundary Indus Basin using GRACE satellite[J]. Journal of Hydrology, 2022, 605: 127315. 【SCI, 中科院大类一区】

（14）Xuesong Li#, Jilong Liu#, Dong Liu*, Qiang Fu*, et al. Measurement and analysis of regional agricultural water and soil resource composite system harmony with an improved random forest model based on a dragonfly algorithm[J]. Journal of Cleaner Production, 2021, 305: 127217. 【SCI, 中科院大类一区】

（15）Dong Liu#, Maoxun Li#, Yi Ji*, Qiang Fu*, et al. Spatial-temporal characteristics analysis of water resource system resilience in irrigation areas based on a support vector machine model optimized by the modified gray wolf algorithm[J]. Journal of Hydrology, 2021, 597: 125758. 【SCI, 中科院大类一区】

（16）Dong Liu#, Tingqi Yan#, Yi Ji*, Qiang Fu*, et al. Novel method for measuring regional precipitation complexity characteristics based on multiscale permutation entropy combined with CMFO-PPTTE model[J]. Journal of Hydrology, 2021, 592: 125801. 【SCI, 中科院大类一区】

（17）Xuesong Li#, Heng Li#, Dong Liu*, Qiang Fu*, et al. Connotation analysis and evaluation index system construction of regional agricultural soil and water resource composite system harmony[J]. Journal of Cleaner Production, 2020, 263: 121438. 【SCI, 中科院大类一区】

（18）Muhammad Abrar Faiz#, Dong Liu*, Qiang Fu*, et al. Assessment of dryness conditions according to transitional ecosystem patterns in an extremely cold region of China[J]. Journal of Cleaner Production, 2020, 255: 120348. 【SCI, 中科院大类一区】

（19）Dong Liu#, Zhongrui Fan#, Qiang Fu*, Mo Li*, et al. Random forest regression evaluation model of regional flood disaster resilience based on the whale optimization algorithm[J]. Journal of Cleaner Production, 2020, 250: 119468. 【SCI, 中科院大类一区】

（1）2024年12月，获“黑龙江省水文学及水资源专业技术领军人才梯队带头人”荣誉称号

（2）2023年5月，获“黑龙江省普通高等学校教学名师”荣誉称号

（3）2021年12月，获“智慧树网共享课程教学名师”荣誉称号

（4）2021年5月，获“东北农业大学校级教学名师”荣誉称号