[1]. 钟仕全,莫建飞,罗永明,等.基于GF-1遥感数据监测的岩溶洼地洪涝灾害特征分析[J].气象研究与应用,2016,37(1): 83-87,132. [2]. 沈秋,高伟,李欣,等.GF-1 WFV影像的中小流域洪涝淹没水深监测[J].遥感信息,2019,34(1):87-92. [3]. 范一大,和海霞,李博,等.基于HJ-1 CCD数据的洪涝灾害范围动态监测研究——以黑龙江省抚远县为例[J].遥感技术与应用,2016,31(1):102-108. [4]. 李文慧,杨斌,黄永璘.基于MERSI的洪涝灾害遥感监测技术应用研究[J].科技信息,2012,32: 61-62,65. [5]. 高伟,沈秋,李梦璠,等.基于多源遥感数据的洪涝淹没范围时序监测分析[J].测绘与空间地理信息,2018,41(7): 8-10,14. [6]. 刘亚岚,王世新,魏成阶,等.利用星载SAR快速监测评估我国的洪涝灾害[J].遥感信息,2000,1:32-35. [7]. Zhehao Li, Hongbo Zhang, Vijay P Singh, et al. A simple early warning system for flash floods in an ungauged catchment and application in the Loess Plateau, China[J]. Water, 2019, 11(3): 426-447. [8]. JunliSLi, WenjunSWu, XinxinSYe, et al. Innovative trend analysis ofSmain agriculture natural hazards inSChina duringS1989–2014. Natural Hazards. 2019, 95(3): 677-720 [9]. 张丽文,梁益同,李兰.基于高分一号影像的武汉市洪涝遥感监测与分析[J].气象科技进展,2018,8(05): 51-57. L Wan, M Liu, F Wang, et al. Automatic extraction of flood inundation areas from SAR images: a case study of Jilin, China during the 2017 flood disaster[J]. International Journal of Remote Sensing Journal, 2019, 40: 5050-5077. [11]. 宋楠,马振峰,范广洲,等.基于分布式水文模型的嘉陵江流域暴雨洪涝致灾风险阈值研究[J].西南大学学报(自然科学版),2018,40(2): 186-192. [12]. Yenan Wu1, P.-a. Z., Yu Zhang, et al. Integrated flood risk assessment and zonation method: a case study in Huaihe River basin, China[J]. Nat Hazards, 2015, 78: 635-651. [13]. 吴立,霍治国,张蕾,等.西南地区农业洪涝等级指标构建及时空分布特征[J].应用生态学报,2015,26(08):2473-2481. [14]. Meihong Ma, Changjun Liu, Gang Zhao, et al. Flash Flood Risk Analysis Based on Machine Learning Techniques in the Yunnan Province, China[J]. Remote Sensing, 2019, 11(2): 170~186. [15]. 李梦婕,汪明,史培军.湖南暴雨洪涝灾害损失时空特征及影响因素分析[J].北京师范大学学报(自然科学版),2014,50(4): 429-434. [16]. 张翠英,张英,汪国平.浙江农业洪水灾害风险分析[J].江苏农业学报,2011,27(6): 222-226. [17]. 温泉沛,周月华,霍治国,等.湖北暴雨洪涝灾害脆弱性评估的定量研究[J].中国农业气象,2018,39(08): 547-557. [18]. 鲜铁军.基于GIS的南充市暴雨洪涝农业气象灾害风险区划与评估[J].. 现代农业科技,2018,23: 199-202. [19]. Enliang Guo, Jiquan Zhang, Xuehui Ren, et al. Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning Province, China[J]. Nat Hazards, 2014, 74(2): 947-965. [20]. Yongfang Wang, Guixiang Liu, Enliang Guo , et al .Quantitative agricultural flood risk assessment using vulnerability surface and copula functions[J]. Water, 2018, 10(9): 1229-1245. [21]. Chou Jieming, Xian Tian, Dong Wenjie, et al. Regional temporal and spatial trends in drought and flood disasters in China and assessment of economic losses in recent years[J]. Sustainability. 2019, 11: 55 [22]. Wei Li, Kai-heng Hu, Xu-dong Hu. Rainfall occurrence and its relation to flood damage in China from 2000 to 2015[J]. Journal of Mountain Science, 2018, 15(11): 2492-2504. [23]. 温丹苹,李静,何朋飞.黑龙江省农业气象灾害与大豆产量的灰色关联分析[J].自然灾害学报,2017,26(4): 56-62. [24]. 曹义娜.黑龙江省洪涝灾害分布特征及其对玉米产量的影响[D].东北农业大学, 2017. [25]. 董家山,沈伟,张莹,等.宿迁地区水稻暴雨洪涝灾害保险气象理赔指数开发[J].气象科学,2017,37(03): 416-424. [26]. 周兴兵,熊洪,蒋鹏,等.杂交中稻对洪涝的响应时机及洪水再生稻的高产调控技术研究[J].中国稻米,2015,21(05): 29-32. [27]. 陈振.基于遥感数据的玉米涝灾监测与评估技术研究[D].中国矿业大学, 2016. [28]. 徐鹏,顾晓鹤,邱贺,等.基于多时相HJ影像的水稻洪涝灾情和产量监测[J].灾害学,2014,29(02): 188-192. [29]. 姜灵峰.近76年我国洪涝灾损度变化特征分析[J].气象科技进展,2018,8(05): 11~16. [30]. Enliang Guo, Jiquan Zhang, Yongfang Wang, et al. Dynamic risk assessment of waterlogging disaster for maize based on CERESMaize model in Midwest of Jilin Province, China[J]. Natural Hazards,2016,83(3): 1747~1761
|