黑龙江省科学基金面上项目“基于二元水循环数值模拟的水稻适宜种植面积研究”（E2017009），2017.10-2020.10.主持：宫兴龙。

【1】宫兴龙,付强,孙爱华,关英红,王斌,李茉.自然-社会水循环模型估算平原-丘陵-湿地区水稻种植潜力[J].农业工程学报,2019,35(1):138-147.DOI:10.11975/j.issn.1002-6819.2019.01.017。

【2】Zhenxiang Xing, Han Zhang, Yi Ji, Gong Xinglong, Qiang Fu, Heng Li. Markov chain Monte Carlo based on adaptive metropolis algorithm applied in combined model to deal with the uncertainty of weights of single models[J]. Water Science and Technology: Water Supply, 2019, 19(4): 1129-1136. DOI: 10.2166/WS.2018.164.

【3】宫兴龙,杜树平,付强,关英红,邢贞相,李茉,王斌.挠力河流域丘陵-平原-湿地区径流变化驱动力分析[J].农业工程学报,2019,35(16):114-124.DOI:10.11975/j.issn.1002-6819.2019.16.013.

2020年：

【4】Li M , Fu Q , Singh V P , Gong, X., et al. Risk-based agricultural water allocation under multiple uncertainties[J]. Agricultural Water Management, 2020, 233. SCI,1区.

2021年：

【5】Ding, Y., Gong, X., Xing, Z., Cai, H., Zhou, Z., Zhang, D., . . . Shi, H. (2021). Attribution of meteorological, hydrological and agricultural drought propagation in different climatic regions of China. Agricultural Water Management, 255. doi:10.1016/j.agwat.2021.106996. SCI, 1区.

【6】Gong X , Du S , Li F , et al. Study of mesoscale NDVI prediction models in arid and semiarid regions of China under changing environments[J]. Ecological Indicators, 2021, 131(1):108198.. doi:10.1016/j.ecolind.2021.108198. SCI,2区.

【7】Xinglong Gong，Shuping Du，Fengyu Li，Yibo Ding．Spatiotemporal variations in climatic factors， catchment characteristic induced runoff changes with multi-time scales across the contiguous United States. Journal of Earth Science.https://kns.cnki.net/kcms/detail/42.1788.p.20210909.1324.006.html.

【8】Gong, X.; Du, S.; Li, F.;Ding, Y. Study on the Spatial and Temporal Characteristics of Mesoscale Drought in China under Future Climate Change Scenarios. Water 2021, 13, 2761. https://doi.org/10.3390/w13192761 SCI,4区.

2022年：

【9】Gong X, Xu A, Du S, et al. Spatiotemporal variations in the elasticity of runoff to climate change and catchment characteristics with multi-timescales across the contiguous United States [J]. Journal of Water and Climate Change, 2022.doi 10.2166/wcc.2022.242.