Spatial and temporal variability of turbidity, dissolved oxygen, conductivity, temperature, and fluorescence in the lower Mekong River-Tonle Sap system identified using continuous monitoring

被引:27
作者
Irvine, K. N. [1 ,2 ]
Richey, J. E. [3 ]
Holtgrieve, G. W. [4 ]
Sarkkula, J. [5 ]
Sampson, M. [6 ]
机构
[1] State University New York, Dept Geog & Planning, Buffalo, NY 14222 USA
[2] Buffalo State University New York, Ctr Southeast Asia Environm & Sustainable Dev, Buffalo, NY 14222 USA
[3] Univ Washington, Sch Oceanog, Seattle, WA 98195 USA
[4] Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA
[5] Finnish Environm Inst, FI-00251 Helsinki, Finland
[6] Resource Dev Int Cambodia, Kean Svay, Cambodia
关键词
Tonle Sap; Mekong-Bassac Rivers; flood pulse system; dissolved oxygen; turbidity; continuous monitoring; ARIMA models;
D O I
10.1080/15715124.2011.621430
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Continuous monitoring of turbidity, dissolved oxygen (DO), conductivity, temperature, and fluorescence was done at five locations on the Tonle Sap Lake and the Mekong-Bassac Rivers near Phnom Penh, Cambodia, between 2004 and 2010 using autonomous datasondes. Seasonal, daily, and spatial trends were clearly identified in the data and were related to the annual monsoon rainy season-dry season cycle, system metabolism, system hydraulics, and in some cases, localized phenomena such as waste discharges. The datasondes were particularly useful to track the oxygenation of anoxic black water areas in the flooded forest fringe of the Tonle Sap that occurred during the rainy season freshwater pulse. A strongly developed vertical variation of turbidity, DO, and conductivity in the flooded forest fringe may be related to a combination of factors, including dissolved material release from bed sediment and a floating organic-rich particulate layer near the bottom of the lake. Grab samples for total suspended solids (TSS) were collected at the Preak Leap (PL) site (Mekong River) in 2009 and 2010. An excellent relationship was established between daily mean turbidity and TSS concentration for the PL site, with r(2) = 0.95. Autoregressive, integrated, moving average models adequately forecast water level and water quality data one month ahead.
引用
收藏
页码:151 / 168
页数:18
相关论文
共 71 条
[1]   Performance of stochastic approaches for forecasting river water quality [J].
Ahmad, S ;
Khan, IH ;
Parida, BP .
WATER RESEARCH, 2001, 35 (18) :4261-4266
[2]   Evaluation of cycling patterns of dissolved oxygen in a tropical lake as an indicator of biodegradable organic pollution [J].
Ansa-Asare, OD ;
Marr, IL ;
Cresser, MS .
SCIENCE OF THE TOTAL ENVIRONMENT, 1999, 231 (2-3) :145-158
[3]  
Benke AC, 2000, ECOLOGY, V81, P2730, DOI 10.1890/0012-9658(2000)081[2730:FPDOAU]2.0.CO
[4]  
2
[5]  
Box G.E.P., 1976, TIME SERIES ANAL FOR
[6]   Perceptions, data, and river management: Lessons from the Mekong River [J].
Campbell, Ian C. .
WATER RESOURCES RESEARCH, 2007, 43 (02)
[7]   RAINFALL-RUNOFF-SEDIMENT YIELD RELATION BY STOCHASTIC MODELING [J].
CARONI, E ;
SINGH, VP ;
UBERTINI, L .
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 1984, 29 (02) :203-218
[8]   DELTA METHOD FOR ESTIMATING PRIMARY PRODUCTION, RESPIRATION, AND REAERATION IN STREAMS [J].
CHAPRA, SC ;
DITORO, DM .
JOURNAL OF ENVIRONMENTAL ENGINEERING-ASCE, 1991, 117 (05) :640-655
[9]  
Chaudhry P., 2007, CLIMATE CHANGE HUMAN
[10]   Landscape structure and use, climate, and water movement in the Mekong River basin [J].
Costa-Cabral, Mariza C. ;
Richey, Jeffrey E. ;
Goteti, Gopi ;
Lettenmaier, Dennis P. ;
Feldkotter, Christoph ;
Snidvongs, Anond .
HYDROLOGICAL PROCESSES, 2008, 22 (12) :1731-1746