Using remotely sensed suspended sediment concentration variation to improve management of Poyang Lake, China

被引:49
作者
Cui, Lijuan [1 ]
Qiu, Yue [2 ,3 ,4 ]
Fei, Teng [2 ,3 ]
Liu, Yaolin [2 ,3 ]
Wu, Guofeng [2 ,3 ]
机构
[1] Chinese Acad Forestry, Inst Wetland Res, Beijing 100091, Peoples R China
[2] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China
[3] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China
[4] Chongqing Explorat & Surveying Inst, Chongqing 400020, Peoples R China
基金
中国国家自然科学基金;
关键词
dredging; driving factors; lake management; MODIS; water quality; INHERENT OPTICAL-PROPERTIES; WATER-QUALITY; BIOOPTICAL MODEL; APALACHICOLA BAY; CROSS-VALIDATION; COASTAL WATERS; MODIS IMAGERY; YANGTZE-RIVER; TIME-SERIES; TAIHU LAKE;
D O I
10.1080/10402381.2013.768733
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
This study applied Moderate-Resolution Imaging Spectroradiometer (MODIS) images from 2000 to 2010 to obtain and analyze the spatiotemporal variation of suspended sediment concentration (SSC) and discussed factors affecting it in Poyang Lake, China. Results showed that (1) the mean SSC was lower in the south, higher in the north, and moderate in the central lake region; (2) the mean SSC in the south was lower than or close to 20mg/L, with no clear annual trend; (3) the mean SSC in the north was slightly higher than 20mg/L in 2000 and increased from 2001, with the highest value >60mg/L in 2006; (4) the mean SSC in the central lake region, except for 2009, ranged from 20 to 40mg/L and had an annual pattern similar to that in the southern lake region; (5) for the entire lake, the mean SSC declined from January to March, increased from September to December, and fluctuated from April to August; and (6) several higher SSC values were found in the central or southern lake regions. The spatiotemporal variation of SSC was controlled by natural and human factors, in which dredging was dominant. Limiting the area of dredging and reducing dredging intensity would decrease SSC and maintain sustainable development of Poyang Lake. Remote sensing can obtain the spatiotemporal information of some water quality parameters, which will help managers understand the lake dynamics and mechanisms to make better decisions for lake management.
引用
收藏
页码:47 / 60
页数:14
相关论文
共 73 条
[31]   Application of Landsat imagery to regional-scale assessments of lake clarity [J].
Kloiber, SM ;
Brezonik, PL ;
Bauer, ME .
WATER RESEARCH, 2002, 36 (17) :4330-4340
[32]  
Kutser T, 2007, J COASTAL RES, P180
[33]   Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters [J].
Lee, ZP ;
Carder, KL ;
Arnone, RA .
APPLIED OPTICS, 2002, 41 (27) :5755-5772
[34]  
Li F., 2005, Crane Research in China. Crane and Waterbird Specialists Group of Chinese Ornithological Society, P58
[35]  
Li R., 2004, Environmental Informatics Archives, V2, P893
[36]   Quantification of shallow water quality parameters by means of remote sensing [J].
Liu, YS ;
Islam, MA ;
Gao, J .
PROGRESS IN PHYSICAL GEOGRAPHY, 2003, 27 (01) :24-43
[37]   QUANTITATIVE MODELING OF SUSPENDED SEDIMENT IN MIDDLE CHANGJIANG RIVER FROM MODIS [J].
Lu Can-de ;
He Bao-yin ;
Li Mao-tian ;
Ren Xian-you .
CHINESE GEOGRAPHICAL SCIENCE, 2006, 16 (01) :79-82
[38]   Controlling toxic cyanobacteria: Effects of dredging and phosphorus-binding clay on cyanobacteria and microcystins [J].
Lurling, Miquel ;
Faassen, Elisabeth J. .
WATER RESEARCH, 2012, 46 (05) :1447-1459
[39]   Bio-optical model with optimal parameter suitable for Taihu Lake in water colour remote sensing [J].
Ma, R. ;
Tang, J. ;
Dai, J. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (19) :4305-4328
[40]  
Ma R.H., 2010, Remote Sensing of Lake Water Environment