以第一作者和通讯作者发表论文列表: [1] Ruiqi Du, Xianghui Lu*, Yue Zhang, et al. Improved estimation of irrigated field soil water (SWC) and salt content (SSC) from Sentinel-2 imagery by combining multi-dimensional spectra decomposition with ensemble learning[J]. Computers and Electronics in Agriculture, 2025 (239):110910. (中科院一区) [2] Ruiqi Du, Yu Ma, Xianghui Lu*, et al. An intelligent decision-making framework for optimizing canola irrigation-nitrogen application schedule by DSSAT model and machine learning[J]. Field Crops Research, 2025(331):109989,(中科院一区) [3] Zihuang Yan, Xianghui Lu*, Lifeng Wu, et al. Enhancing Short-Term Solar Radiation Forecasting with Hybrid VMD and GraphCast-Based Machine Learning Models[J]. Expert Systems With Applications, 2025(285): 128042. (中科院一区) [4] Xin Luo, Xianghui Lu*, Haina Zhang, et al. The Effects of Stand Density on the Growth of Winter Rapeseed in an Agroforestry Intercropping System in the Red Soil Slopes of Southern China[J]. Plants, 2025, 14, 1374. (中科院二区) [5] Zihuang Yan, Xianghui Lu*, Lifeng Wu, et al. Evaluation of precipitation forecasting base on GraphCast over mainland China[J]. Scientific Reports.2025(15): 14771. (中科院三区) [6] Zihuang Yan, Xianghui Lu*, Lifeng Wu. Evaluating the impact of different decomposition methods on the accuracy of reference evapotranspiration forecasts in humid regions[J]. Journal of Hydroinformatics , 2025,27(3):406–441. (中科院三区) [7] 杨宝城,鲁向晖*,张海娜,等.基于无人机多光谱影像的矮林芳樟叶片含水率与叶水势反演[J].农业机械学报,2024,55(2):220-230. (EI) [8] Zihuang Yan, Xianghui Lu*, and Lifeng Wu. Exploring the Effect of Meteorological Factors on Predicting Hourly Water Levels Based on CEEMDAN and LSTM[J]. Water.2023,15(18):3190. (中科院三区) [9] Wang, Qian, Xianghui Lu*, Haina Zhang, et al. Comparison of Machine Learning Methods for Estimating Leaf Area Index and Aboveground Biomass of Cinnamomum camphora Based on UAV Multispectral Remote Sensing Data[J]. Forests,2023,14(8),1688. (中科院二区) [10] 龚荣新,鲁向晖*,张海娜,等.基于高光谱植被指数的大豆地上部生物量估算模型研究[J].大豆科学, 2023,42(3):352-359. [11] 鲁向晖*,龚荣新,张海娜,等.基于无人机多光谱遥感的矮林芳樟光合参数估测[J].农业机械学报,2023,54(10):179-187. (EI) [12] 鲁向晖*,杨宝城,张海娜,等.基于无人机多光谱遥感的矮林芳樟叶片精油产量反演[J].农业机械学报,2023,54(4):191-197+213. (EI) [13] 鲁向晖*,王倩,张海娜,等.基于无人机多光谱遥感的芳樟矮林SPAD反演[J].农业机械学报,2023,54(5):201-209. (EI) [14] Lu Xianghui*, Han Wang, Youzhen Xiang, et al. Determination of Nitrogen Application Ratio and Sowing Time for Improving the Future Yield of Double-Harvest Rice in Nanchang Based on the DSSAT-CERES-Rice Model. Agronomy 2022,12,3199. (中科院二区) [15] Lu Xianghui*, Zhang Hainan, Han Yixiu, et al. Applicability and improvement of different evapotranspiration methods of reference crops in Jiangxi Province[J].Theoretical and Applied Climatology,2022(147):73-86. (中科院三区) [16] Xianghui Lu*, Yan Ju, Lifeng Wu, et al. Daily pan evaporation modeling from local and cross-station data using three tree-based machine learning models[J].Journal of Hydrology, 2018(566):668-684. (中科院一区) [17] Lu Xianghui*, Fan Junliang, Wu Lifeng, et al. Forecasting Multi-Step Ahead Monthly Reference Evapotranspiration Using Hybrid Extreme Gradient Boosting with Grey Wolf Optimization Algorithm[J]. Computer Modeling in Engineering & Sciences, 2020,125(2), 699-723. (中科院三区) [18] 张海娜,鲁向晖*,金志农,等.高温条件下稀土尾砂干旱对4种植物生理特性的影响[J].生态学报,2019,39(7):2426-2434. [19] 张海娜,鲁向晖*,王瑞峰,等.稀土尾砂干旱胁迫对2种牧草种子萌发与幼苗生理特性的影响[J].江苏农业科学,2019,47(13):204-208. [20] 张海娜,鲁向晖*,黄国敏,等.鄱阳湖沙地蔓荆灌丛沙堆形态特征及空间分布格局[J].生态学报,2019,39(14):5252-5260. [21] 鲁向晖*,张海娜,白桦,等.赣江流域1986-2015年降雨侵蚀力时空变化特征[J].长江科学院院报,2020,37(10):51-58. [22] 鲁向晖*,张海娜,胡羊羊.赣江流域1966-2015年降水量多尺度时空变化特征分析[J].水土保持研究,2021,28(2):168-175. |
专著及发明专利: 专著与教材: [1] 鲁向晖,张海娜,赵建民,白桦,王荚文.专著《赣南稀土矿区生态修复理论与效益评价》[M].南昌:江西科学技术出版社,2019. ISBN:9787539071121 [2] 鲁向晖主编. 教材《水土保持与荒漠化防治概论》[M],江西科学技术出版社,2018.10,ISBN 9787539065922 [3] 鲁向晖,赵建民,张海娜,马璠. 专著《进贤县“山水林田湖草”水土保持规划设计与实践》[M].南昌:江西科学技术出版社,2022. ISBN:9787539079585 [4] 专著《中国南方水土保持》[M],第二卷副主编,江西科学技术出版社,2021.12,210万字,华东地区优秀出版物一等奖,国家出版基金资助,ISBN:9787539071619. [5] 张海娜,鲁向晖,杨保城,王倩. 《南方红壤区矮林芳樟冠层光谱感知理论与技术》[M].南昌:江西科学技术出版社,2023. ISBN:9787539089331 [6] 鲁向晖主编.教材《水土保持与荒漠化防治概论》(第二版)[M],江西科学技术出版社,2024.8,ISBN:978539091594 [7] 张海娜,鲁向晖,陈志琪. 《高效香料用樟树在赣南离子型稀土尾矿生态恢复中的应用研究》[M].南昌:江西科学技术出版社,2024. ISBN:9787539088778 专利及软件著作权: [1] 鲁向晖,张海娜,苏童,李阳.一种土壤溶液取样装置及取样方法,ZL201811630803.X. 中国发明专利; [2] 鲁向晖,陈志琪,鲍立达,程辉,张海娜.一种稀土尾砂区樟树矮林的栽植方法及其应用,ZL2023 1 0006442.6,中国发明专利; [3] 鲁向晖,张海娜,鲍立达. AN IONIC RARE EARTH MINE TAILINGS LAND IMPROVER AND VEGETATION RECLAMATION METHOD (一种离子型稀土矿尾砂地改良剂及植被复垦方法),2022/08190,国际发明专利; [4] 鲁向晖,张海娜,马璠,赵建民.一种水土保持监测连续取样保存装置。ZL 202121029173.8,实用新型专利; [5] 鲁向晖,张海娜,马璠,赵建民.一种用于稀土尾矿砂重金属污染修复治理的设备,ZL 202121028265.4,实用新型专利; [6] 程辉,鲁向晖,张海娜,马露露,任长江,马璠,陈志琪.一种樟树种子剥皮机,ZL 202220292986.4,实用新型专利;(学生第一发明人)。 |