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基于低冲击径流控制措施下的城区内涝风险评估
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作者 于红波 《水利规划与设计》 2024年第5期66-69,共4页
为提高城区规划建设的科学性,结合内涝评估模型,对营口城区不同低冲击径流控制措施下的内涝进行风险评估。评估结果表明:营口城区不同内涝风险淹没指数的阈值随内涝积水深度增加而逐步加大,通过设置低冲击径流控制可有效降低城区内涝风... 为提高城区规划建设的科学性,结合内涝评估模型,对营口城区不同低冲击径流控制措施下的内涝进行风险评估。评估结果表明:营口城区不同内涝风险淹没指数的阈值随内涝积水深度增加而逐步加大,通过设置低冲击径流控制可有效降低城区内涝风险指数。研究成果对于海绵城市建设规划具有重要参考价值。 展开更多
关键词 城区内涝 风险淹没指数 积水深度 调控措施
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大中型水库桥梁淹没处理标准及应用研究
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作者 李杰 董标 《人民长江》 北大核心 2016年第S2期130-133,共4页
大中型水库的建设由于抬高水库以上的水位,可能对上游的桥梁产生一定的淹没影响。受影响桥梁存在完全淹没、部分淹没和未淹没3种状态。为判断桥梁淹没标准提出了桥面高程指数和桥下净空指数的概念,以供库周桥梁复建时参考。库周非等级... 大中型水库的建设由于抬高水库以上的水位,可能对上游的桥梁产生一定的淹没影响。受影响桥梁存在完全淹没、部分淹没和未淹没3种状态。为判断桥梁淹没标准提出了桥面高程指数和桥下净空指数的概念,以供库周桥梁复建时参考。库周非等级公路桥梁复建时的防洪标准可选择为:对于农村生产桥梁,防洪标准取5 a一遇;农村生活桥梁,防洪标准取20 a一遇。此外,对桥梁残值利用和淹后的安全性进行了探讨。 展开更多
关键词 非等级路 桥梁淹没 淹没指数 桥梁复建 桥梁残值 移民工程
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结合淹没红树林指数特征与K-means聚类的滨海自然与人工湿地提取方法
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作者 赵铜铁钢 吴迪熠 杨振华 《地球信息科学学报》 EI 2024年第12期2805-2817,共13页
滨海自然与人工湿地监测对水环境和自然资源保护具有重要意义。考虑水位变化等动态影响,湿地遥感监测涉及多时段影像合成、水位动态过程表征、不同区分度特征指数选择和聚类算法边界分割等技术难题。基于谷歌地球引擎(Google Earth Engi... 滨海自然与人工湿地监测对水环境和自然资源保护具有重要意义。考虑水位变化等动态影响,湿地遥感监测涉及多时段影像合成、水位动态过程表征、不同区分度特征指数选择和聚类算法边界分割等技术难题。基于谷歌地球引擎(Google Earth Engine,GEE)遥感云平台提供的Landsat卫星遥感数据,增加淹没红树林指数(Inundated Mangrove Forest Index,IMFI)等指标作为随机森林(Random Forest,RF)算法的特征变量,通过K-means方法进行自动聚类,将非监督分类与监督分类方法结合起来开发一种自然与人工湿地提取方法。面向粤港澳大湾区,采用生产者精度、用户精度、总体精度和Kappa系数评价基于长时序影像的滨海自然与人工湿地识别。结果表明:(1)相比现有指数,IMFI能更有效区分水域、养殖坑塘和滩涂;(2)通过协同增加的K-means分类结果与IMFI,以分割人工湿地和将滩涂聚类,能增强湿地类间、湿地与其他地物的区分性,方法可以有效解决湿地类间、湿地与水域间的错分与漏分问题;(3)方法在粤港澳大湾区滨海区域分类的平均总体精度为89.23%,平均Kappa系数为0.8731,在时间上波动小。整体上,该方法为高精度滨海自然与人工湿地动态监测预警提供技术支撑。 展开更多
关键词 粤港澳大湾区 自然湿地 人工湿地 淹没红树林指数 随机森林 K-means聚类 GEE云平台
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Effects of Water-table Depth and Soil Moisture on Plant Biomass, Diversity, and Distribution at a Seasonally Flooded Wetland of Poyang Lake, China 被引量:24
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作者 XU Xiuli ZHANG Qi +2 位作者 TAN Zhiqiang LI Yunliang WANG Xiaolong 《Chinese Geographical Science》 SCIE CSCD 2015年第6期739-756,共18页
Hydrological regime has been widely recognized as one of the major forces determining vegetation distribution in seasonally flooded wetland. Poyang Lake, the largest freshwater lake in China, has been encountering dra... Hydrological regime has been widely recognized as one of the major forces determining vegetation distribution in seasonally flooded wetland. Poyang Lake, the largest freshwater lake in China, has been encountering dramatic changes in hydrological conditions in last decade, which greatly influenced the wetland vegetations. To explore the relationships between hydrology and vegetation distri- bution, water-table depth, soil moisture, species composition, diversity and biomass were measured at a seasonally flooded wetland section at Wucheng National Nature Reserve. Three plant communities, Artemisia capillaris, Phragmites australis and Carex cineras- cens communities, were examined which are zonally distributed from upland to lakeshore with decreasing elevation. Canonical corre- spondence analysis (CCA), spearmen correlation and logistic regression were adopted to analyze the relationships between vegetation characteristics and hydrological variables of water-table depth and soil moisture. Results show that significant hydrological gradient exist along the wetland transect. Water-table demonstrates a seasonal variation and is consistently deepest in A. capillaris community (ranging from q).5 m above ground to +10.3 m below ground), intermediate in P. australis community (-2.6 m to +7.8 m) and shallow- est in C. cinerascens community (-4.5 m to +6.1 m). Soil moisture is lowest and most variable in A. capillaris community, highest and least variable in P. australis community, and intermediate and moderate variable in C. cinerascens community. The CCA ordination indicated that variables of water-table depth and soil moisture are strongly related to community distribution, which explained 81.7% of the vegetation variations. Species diversity indices are significantly positively correlated with soil moisture and negatively correlated with moisture variability, while above- and belowground biomass are positively correlated with moisture. Above- and belowground biomass present Gaussian models along the gradient of average water-table depth in growing season, while species diversity indices show bimodal patterns. The optimal average water-table depths for above- and belowground biomass are 0.8 m and 0.5 m, respectively, and are 2.2 m and 2.4 m for species richness and Shannon-Wiener indices, respectively. Outcomes of this work improved the under- standings of the relationship between hydrology and vegetation. 展开更多
关键词 water-table depth soil moisture species diversity BIOMASS Gaussian model Poyang Lake wetland
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