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| 1 | Evolution of Yellow River Delta Coastline Based on Remote Sensing from 1976 to 2014, China显示文摘Coastal regions are threatened by natural processes, such as erosion driven by storm surges and the effect of jetties, as well as by human behavior. The coastline of the Yellow River Delta(YRD) was monitored using the general high-tide line method, which combines Remote sensing(RS) and geographic information system(GIS) technology, using multi-spectral scanner(MSS), thematic mapper(TM), and enhanced thematic mapper plus(ETM+) images of the YRD from 1976 to 2014 as a data source. The results demonstrated that the shape and length of the YRD coastline has changed dramatically since 1976. The course of the Diaokouhe channel has resulted in mainly inland erosion in the north, and is primarily marine erosion; therefore, it was termed an erosion-type estuary. However, the coastline of the Qingshuigou course has moved seaward, demonstrating an accretion stage, and was therefore termed an accretion-type estuary. The coastline advanced forward before 1997 and shrank after 2003 in the southern part of the river mouth, which was due to the shift in the river mouth in 1996. It has continually extended outward in the northern part of the river mouth from 2003 onward. The coastline in the southern part of the river mouth has moved randomly, with the occurrence of both erosion and sedimentation caused by land reclamation and sea wave intrusion. In most cases, the coastline has extended offshore, especially in the northern part of the river mouth. The YRD coastline has changed frequently and rapidly from 1992 to 2014. The river mouth channel, river water and sediments, and precipitation were the major factors affecting the YRD. The YRD coastline was mainly in an accretion stage during flow periods. The erosion rate decreased and tended to be stable during a dry period. The coastline was basically stable when dry periods occurred over a long period. The location of Yellow River ports and sea erosion were the main factors driving coastline changes. The coastline was mainly influenced by the flow path of the Yellow River, with recent human activity also becoming a factor. | WANG Kuifeng | 2019 | Chinese Geographical Science2019，29，2： | 9 |
| 2 | 基于Landsat8 OLI遥感数据反演乌梁素海浮游植物生物量显示文摘【目的】评价乌梁素海多个季度浮游植物生物量反演模型的适用性,为乌梁素海水质治理与改善提供一定的理论依据。【方法】利用乌梁素海Landsat8 OLI遥感数据,结合实测水体的叶绿素a质量浓度数据,采用回归分析,构建乌梁素海浮游植物生物量反演模型,对反演模型精度和普适性进行验证。【结果】春季以b5(近红外)/b4(红光)为自变量的二次多项式回归方程拟合度较差,决定系数为0.463,实测数据与预测数据的均方根误差为6.88 mg/m^3;夏季以b5(近红外)/b4(红光)为自变量的二次多项式回归方程拟合度最优,决定系数为0.816,实测数据与预测数据的均方根误差为3.67 mg/m^3;秋季以(b5-b4)/b3为自变量的二次多项式回归方程拟合度适中,决定系数为0.602,实测数据与预测数据的均方根误差为4.63 mg/m^3。【结论】同步采集水样与高光谱数据,利用细胞体积转化法计算浮游植物生物量,是提高浮游植物生物量反演模型精度的重要前提条件。 | 岳程鹏 李兴 包龙山 魏敬铤 | 2020 | 灌溉排水学报2020，39，8： | 7 |
| 3 | 1980年代以来黄河下游含沙量变化的遥感研究显示文摘基于1984年-2018年的185景Landsat数据,提取黄河下游水体泥沙遥感指数:NDBI和比值指数。结合利津水文站泥沙观测资料,分析泥沙遥感指数的指示效果,并以其为指标对黄河含沙量变化特征进行了分析。结果表明:(1)相比NDBI,比值指数指示水体含沙量变化的效果更好。(2)1984年以来,发现在夏秋季节和汛期的含沙量下降最为显著,并且泥沙遥感指数均具有显著下降趋势,佐证了黄河下游河段含沙量的减少趋势。(3)分析发现黄土高原植被覆盖度的增加、流域降水量的减少和黄河水利工程的调蓄都是引起黄河下游含沙量下降的原因。 | 李彩虹 于泉洲 宫雪 杨鲁哲 曹怡凡 | 2020 | 环境科学与管理2020，45，2： | 1 |
| 4 | 1950—2014年黄河流域输沙量变化特征及下游河道冲淤响应显示文摘根据1950—2014年黄河流域水沙数据,花园口站以上流域降水量,下游河道冲淤量以及水库冲淤量和工农业引沙量,对黄河流域输沙量变化和下游河道冲淤响应进行了分析,估算了气候变化和人类活动对流域输沙量变化的影响程度。结果表明:1950年以来黄河流域输沙量呈显著减少趋势,这是气候变化和人类活动共同影响的结果,其中气候变化对输沙量减少的影响占25%,人类活动的影响占75%。1950年以来下游河道经历了淤积—冲刷的交替变化,在仅考虑水沙条件下,当花园口站含沙量小于17.17kg/m^(3)时,下游河道主要表现为冲刷,当含沙量大于17.17kg/m^(3)时,下游河道主要表现为淤积。 | 彭俊 凌敏 俞珊妮 赵宇杰 高静 | 2022 | 滁州学院学报2022，24，2： | 1 |
| 5 | 海洋水色及动力环境遥感研究进展显示文摘海洋遥感主要包括海洋水色遥感、海洋动力环境及海洋地形遥感。本文结合国内外研究现状,介绍了海洋水色及动力环境遥感的机理以及相关海洋要素的遥感反演方法。同时,通过对近十年海洋水色及动力环境遥感的发展情况进行了解,总结了国内外在该领域的研究进展并提出了一些展望。 | 周敏锐 蔡丽娜 孙静亚 | 2019 | 中国水运(下半月)2019，19，5： | 0 |
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