Spatial variations of tidal water level and their impact on the exposure patterns of tidal land on the central Jiangsu coast
被引:2
|
作者:
Wang Zhenyan
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机构:
Chinese Acad Sci, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China
Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R ChinaChinese Acad Sci, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China
Wang Zhenyan
[1
,2
]
Gao Shu
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机构:
Nanjing Univ, MOE Key Lab Coast & Isl Dev, Nanjing 210093, Peoples R ChinaChinese Acad Sci, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China
Gao Shu
[3
]
Huang Haijun
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机构:
Chinese Acad Sci, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R ChinaChinese Acad Sci, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China
Huang Haijun
[1
]
机构:
[1] Chinese Acad Sci, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China
[2] Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
[3] Nanjing Univ, MOE Key Lab Coast & Isl Dev, Nanjing 210093, Peoples R China
waterline;
water level variations;
exposure patterns;
central Jiangsu coast;
remote sensing;
DIGITAL ELEVATION MODEL;
AREAS;
BAY;
D O I:
10.1007/s13131-010-0010-6
中图分类号:
P7 [海洋学];
学科分类号:
0707 ;
摘要:
The exposed area of intertidal zone varies with tidal water level changes. If intercomparisons of satellite images are adopted as a method to determine geomorphological changes of the intertidal zone in response to accretion or erosion processes, then the effect of water level variations must be evaluated. In this study, two Landsat TM images overpassing the central Jiangsu coastal waters on 2 January and 7 March 2002, respectively, were treated by the changing detection analysis using Image Differencing and Post-classification Comparison. The simultaneous tide level data from four tide gauge stations along the coast were used for displaying the spatial variations of water levels and determining the elevations of waterlines. The results show that the spatial variations of water levels are highly significant in the central Jiangsu coastal waters. The huge differences of tidal land exposure patterns between the two imaging times are related mainly to the spatial variations of tidal water levels, which are controlled by the differences in tidal phases for different imaging times and the spatial variations of water level over the study area at each imaging time. Under complex tidal conditions, e.g., those of the central Jiangsu coastal waters, the tide-surge model should be used to eliminate effectively the effects of water level variations on remote sensing interpretation of geomorphological changes in the intertidal zone.
机构:
Zhejiang Univ, Inst Phys Oceanog & Remote Sensing, Ocean Coll, Zhoushan 316021, Peoples R China
Minist Nat Resources, Key Lab Marine Environm Survey Technol & Applicat, Guangzhou 510310, Peoples R ChinaZhejiang Univ, Inst Phys Oceanog & Remote Sensing, Ocean Coll, Zhoushan 316021, Peoples R China
Wei, Zilu
Jiao, Xiaohui
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机构:
Zhejiang Univ, Inst Phys Oceanog & Remote Sensing, Ocean Coll, Zhoushan 316021, Peoples R ChinaZhejiang Univ, Inst Phys Oceanog & Remote Sensing, Ocean Coll, Zhoushan 316021, Peoples R China
Jiao, Xiaohui
Du, Yunfei
论文数: 0引用数: 0
h-index: 0
机构:
Zhejiang Univ, Inst Phys Oceanog & Remote Sensing, Ocean Coll, Zhoushan 316021, Peoples R ChinaZhejiang Univ, Inst Phys Oceanog & Remote Sensing, Ocean Coll, Zhoushan 316021, Peoples R China
Du, Yunfei
Zhang, Jicai
论文数: 0引用数: 0
h-index: 0
机构:
East China Normal Univ, State Key Lab Estuarine & Coastal Res, Shanghai 200241, Peoples R ChinaZhejiang Univ, Inst Phys Oceanog & Remote Sensing, Ocean Coll, Zhoushan 316021, Peoples R China
Zhang, Jicai
Pan, Haidong
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机构:
Minist Nat Resources, Inst Oceanog 1, Key Lab Marine Sci & Numer Modeling, Qingdao 266061, Peoples R ChinaZhejiang Univ, Inst Phys Oceanog & Remote Sensing, Ocean Coll, Zhoushan 316021, Peoples R China
Pan, Haidong
Wang, Guansuo
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机构:
Minist Nat Resources, East China Sea Forecasting, Hazard Mitigat Ctr, Shanghai 200136, Peoples R ChinaZhejiang Univ, Inst Phys Oceanog & Remote Sensing, Ocean Coll, Zhoushan 316021, Peoples R China
Wang, Guansuo
Wang, Daosheng
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机构:
Minist Nat Resources, Key Lab Marine Environm Survey Technol & Applicat, Guangzhou 510310, Peoples R China
China Univ Geosci, Coll Marine Sci & Technol, Hubei Key Lab Marine Geol Resources, Wuhan 430074, Peoples R ChinaZhejiang Univ, Inst Phys Oceanog & Remote Sensing, Ocean Coll, Zhoushan 316021, Peoples R China
Wang, Daosheng
Wang, Ya Ping
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机构:
East China Normal Univ, State Key Lab Estuarine & Coastal Res, Shanghai 200241, Peoples R ChinaZhejiang Univ, Inst Phys Oceanog & Remote Sensing, Ocean Coll, Zhoushan 316021, Peoples R China
机构:
Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210024, Peoples R China
Hohai Univ, Coll Harbor Coastal & Offshore Engn, Nanjing 210024, Peoples R ChinaHohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210024, Peoples R China
Chen, Juan
Zhang, Wei
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机构:
Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210024, Peoples R China
Hohai Univ, Coll Harbor Coastal & Offshore Engn, Nanjing 210024, Peoples R ChinaHohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210024, Peoples R China