nach oben

Erschienen in:

01.04.2015 | Original Article

Spatial and temporal variations of chlorophyll-a concentration from 2009 to 2012 in Poyang Lake, China

verfasst von: Juanle Wang, Yongjie Zhang, Fei Yang, Xiaoming Cao, Zhongqiang Bai, Junxiang Zhu, Eryang Chen, Yifan Li, Yingying Ran

Erschienen in: Environmental Earth Sciences | Ausgabe 8/2015

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Water eutrophication in Poyang Lake, the largest freshwater lake in China, has been considered to be an obstacle to aquatic environment protection and regional sustainable development. Chlorophyll-a concentration is one of the most important indices of water eutrophication. This paper builds seasonal chlorophyll-a concentration retrieval models using a semi-analytical model. Quarterly distributions of chlorophyll-a concentration from 2009 to 2012 are explored using multi-spectra data from a moderate-resolution imaging spectroradiometer (MODIS). The correlation coefficient of the retrieval models primarily ranged from 0.6 to 0.9. The results show that the chlorophyll-a concentration in Poyang Lake has significant seasonality characteristics that present low values in the winter and spring, and present relatively high values in the summer and autumn; this report also presents an obvious, increasing trend of inter-annual variability from 2009 to 2012. The spatial distribution of the chlorophyll-a concentration has regional differences that give relatively high values adjacent to the shore in the north area of Poyang Lake, in the flow in river entries, and in the main channel area in the central and south areas of Poyang Lake. The natural hydrology features have a close relationship with the variation in the chlorophyll-a concentration. Intensive human activities are the main driving forces for the increasing chlorophyll-a concentration.

Vorheriger Artikel Influence of temperature on the water retention properties of compacted GMZ01 bentonite

Nächster Artikel The prediction of interregional land use differences in Beijing: a Markov model

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Binding C, Jerome J, Bukata R, Booty W (2010) Suspended particulate matter in Lake Erie derived from MODIS aquatic colour imagery. Int J Remote Sens 31(19):5239–5255CrossRef

Binding C, Greenberg T, Bukata R (2012) An analysis of MODIS-derived algal and mineral turbidity in Lake Erie. J Great Lakes Res 38(1):107–116CrossRef

Carder K, Chen F, Cannizzaro J, Campbell J, Mitchell B (2004) Performance of the MODIS semi-analytical ocean color algorithm for chlorophyll. Adv Space Res 33(7):1152–1159CrossRef

Chen J, Wen Z, Xiao Z (2011) Spectral geometric triangle properties of chlorophyll-a inversion in Taihu Lake based on TM data. J Water Resour Prot 3(1):67–75

Chen J, Quan W, Wen Z, Cui T (2013a) An improved three-band semi-analytical algorithm for estimating chlorophyll-a concentration in highly turbid coastal waters: a case study of the Yellow River estuary, China. Environ Earth Sci 69(8):2709–2719CrossRef

Chen J, Zhang M, Cui T, Wen Z (2013b) A review of some important technical problems in respect of satellite remote sensing of chlorophyll-a concentration in coastal waters. IEEE J Sel Topics Appl Earth Obs Remote Sens 6(5):2275–2289CrossRef

Chen J, Zhang X, Quan W (2013c) Retrieval chlorophyll-a concentration from coastal waters: three-band semi-analytical algorithms comparison and development. Opt Express 21(7):9024–9042CrossRef

Dekker A, Vos R, Peters S (2001) Comparison of remote sensing data, model results and in situ data for total suspended matter (TSM) in the southern Frisian lakes. Sci Total Environ 268(1):197–214CrossRef

Dekker AG, Vos R, Peters S (2002) Analytical algorithms for lake water TSM estimation for retrospective analyses of TM and SPOT sensor data. Int J Remote Sens 23(1):15–35CrossRef

Deng X, Zhao Y, Wu F, Lin Y, Lu Q, Dai J (2011) Analysis of the trade-off between economic growth and the reduction of nitrogen and phosphorus emissions in the Poyang Lake Watershed, China. Ecol Model 222(2):330–336CrossRef

Domenikiotis C, Loukas A, Dalezios N (2003) The use of NOAA/AVHRR satellite data for monitoring and assessment of forest fires and floods. Nat Hazards Earth Syst Sci 3(1/2):115–128CrossRef

Gitelson AA, Dall’Olmo G, Moses W, Rundquist DC, Barrow T, Fisher TR, Gurlin D, Holz J (2008) A simple semi-analytical model for remote estimation of chlorophyll in turbid waters: Validation. Remote Sens Environ 112(9):3582–3593CrossRef

Härmä P, Vepsäläinen J, Hannonen T, Pyhälahti T, Kämäri J, Kallio K, Eloheimo K, Koponen S (2001) Detection of water quality using simulated satellite data and semi-empirical algorithms in Finland. Sci Total Environ 268(1):107–121CrossRef

He C, Liu J, Li J, Liang X, Chen X-P, Lei Y-R, Zhu D (2013) Spatial distribution, source analysis, and ecological risk assessment of DDTs in typical wetland surface soils of Poyang Lake. Environ Earth Sci 68(4):1135–1141CrossRef

Hu C (2009) A novel ocean color index to detect floating algae in the global oceans. Remote Sens Environ 113(10):2118–2129CrossRef

Hu C, Zhou W, Wang M, Wei Z (2010) Inorganic nitrogen and phosphate and potential eutrophication assessment in Lake Poyang. J Lake Sci 22(5):723–728

Huang W, Wu Y, Shu J (1998) Hydrographical environmental problems and countermeasures of main Lakes and reservoirs in China. J Lake Sci 10(3):83–90

Huang G, Liu C, Yue X (2010) The inversion of chlorophyll a concentration in Poyang Lake. Shanxi Archit 36(34):357–359

Jain SK, Singh R, Jain M, Lohani A (2005) Delineation of flood-prone areas using remote sensing techniques. Water Resour Manag 19(4):333–347CrossRef

Jiang H (2012) An research on the quantitative model of chlorophyll a concentration in Poyang Lake. Sci Surv Mapp 37(6):49–52

Jin X, Ye C, Yan C, Ren B, Zhang Y, Wang X, Wang Y (1999) Comprehensive treatment plan for key-polluted regions of Lake Taihu. Res Environ Sci/Huanjing Kexue Yanjiu 12(5):1–5

Jin G, Xie D, Deng H, Yan Y, Lin M, Wang Y (2011) On seasonal hydrographic variety and environmental capacity of Poyang Lake. Acta Agric Univ Jiangxiensis 33(2):388–393

Li R, Li J (2004) Satellite remote sensing technology for lake water clarity monitoring: an overview. Environ Inform Arch 2:893–901

Li R, Zhang Y (2011a) Analysis of spatial and temporal variation of water quality and its influencing factors in Poyang Lake. Water Resour Prot 27(6):9–13

Li R, Zhang Y (2011b) Temporal water quality change of poyang lake and the analysis of influencing factors. Water Resour Prot 27(6):8–18

Liu X, Shen F, Zhu W (2009) The quantitative inversion of the concentration of suspended sediment at the estuary of Yangtze River based on MWEIS data. Resour Environ Yangtze Basin 18(11):1026–1030

Liu K, Zhao W, Guo X (2012) An research on the estimating of nitrogen content in wetland plants based on measured spectra on the ground. Spectrosc Spectr Anal 32(2):465–471

Lunetta RS, Knight JF, Ediriwickrema J, Lyon JG, Worthy LD (2006) Land-cover change detection using multi-temporal MODIS NDVI data. Remote Sens Environ 105(2):142–154CrossRef

Matthews MW (2011) A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters. Int J Remote Sens 32(21):6855–6899CrossRef

Miller RL, McKee BA (2004) Using MODIS Terra 250 m imagery to map concentrations of total suspended matter in coastal waters. Remote Sens Environ 93(1):259–266CrossRef

Salavati M, Hadian MR, Mazaheri M, Negahban H, Ebrahimi I, Talebian S, Jafari AH, Sanjari MA, Sohani SM, Parnianpour M (2009) Test–retest reliabty of center of pressure measures of postural stability during quiet standing in a group with musculoskeletal disorders consisting of low back pain, anterior cruciate ligament injury and functional ankle instability. Gait Posture 29(3):460–464CrossRef

Shankman D, Liang Q (2003) Landscape changes and increasing flood frequency in China’s Poyang Lake Region∗. Prof Geogr 55(4):434–445CrossRef

Shankman D, Keim BD, Song J (2006) Flood frequency in China’s Poyang Lake region: Trends and teleconnections. Int J Climatol 26(9):1255–1266CrossRef

Sipelgas L, Ossipova V, Raudsepp U, Lindfors A (2009) A bio-optical model for the calculation of suspended matter concentration from MODIS data in the Pakri Bay, the Gulf of Finland. Boreal Environ Res 14(3):415–426

Smith VH, Schindler DW (2009) Eutrophication science: where do we go from here? Trends Ecol Evol 24(4):201–207CrossRef

Tang J (2004) Water spectral measurement and analysis I: measurement above water. J Remote Sens 8(1):37–44

Unesco S (1966) Determination of photosynthetic pigments in sea water. Monographs Oceanogr method—UNESCO, I

Wan J, Jiang S (2006) The water environment analysis and comprehensive treatment of Poyang Lake. Water Resour Prot 22(3):24–27

Wang M (2008) 2, ZHOU Wenbin1, 2 & HU Chunhua1, 2 (1: Key Laboratory of Lake Poyang Ecology and Bio-resource Utilization, Ministry of Education, Nanchang University, Nanchang 330047, PR China) (2: Institute of Environmental Science and Engineering, Nanchang University, Nanchang 330031, PR China); Status of nitrogen and phosphorus in waters of Lake Poyang Basin [J]. J Lake Sci 3

Wang T, Huang W, Liu Y (2007) An Eutrophication monitoring model of Poyang Lake based on hyperspectral remote sensing. Sci Surv Mapp 23(4):44–46

Wu Y, Ji W (2002) Study on Jiangxi Poyang Lake national nature reserve. Forest Publishing House, Beijing

Wu M, Wang X (2005) The water quality monitoring of Chaohu Lake based on MODIS data. J Lake Sci 17(2):110–113

Wu G, Cui L, He J, Duan H, Fei T, Liu Y (2013a) Comparison of MODIS-based models for retrieving suspended particulate matter concentrations in Poyang Lake, China. Int J Appl Earth Obs Geoinf 24:63–72CrossRef

Wu Z, Cai Y, Liu X, Xu CP, Chen Y, Zhang L (2013b) Temporal and spatial variability of phytoplankton in Lake Poyang: The largest freshwater lake in China. J Great Lakes Res 39(3):476–483CrossRef

Xu H (2006) Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int J Remote Sens 27(14):3025–3033CrossRef

Xu D, Xiong M, Zhang J (2001) Analysis on hydrologic characteristics of Poyang Lake. Yangtze River 32(2):21–27

Yan W, Zhang S, Sun P, Seitzinger SP (2003) How do nitrogen inputs to the Changjiang basin impact the Changjiang River nitrate: a temporal analysis for 1968–1997. Global Biogeochem Cycles 17(4):1091–1099

Yu Z, Chen X, Zhou B, Tian L, Yuan X, Feng L (2012) Assessment of total suspended sediment concentrations in Poyang Lake using HJ-1A/1B CCD imagery. Chin J Oceanol Limnol 30:295–304CrossRef

Zhang B (1988) Research on Poyang Lake. Shanghai scientific & Technical Publishers, China

Zhang Y, Wang J, Rang Y, Yang F, Cao X, Guo H (2013) The estimating of concentration of chlorophyll a in Poyang Lake based on measured spectra and MODIS data. Resour Environ Yangtze Basin 22(8):1081–1089

Zhao L, Wei H, Feng S (2002) Annual cycle and budgets of nutrients in the Bohai Sea. J Ocean Univ Qingdao 1(1):29–37

Zhong Y, Chen S (2005) Impact of dredging on fish in Poyang Lake. Jiangxi Fish Sci Technol 1:15–18

Zhou C, Luo J, Yang X (2003) Geoscientific In-terpretation and analysis of remore sensing images. Science Press, Beijing

Titel: Spatial and temporal variations of chlorophyll-a concentration from 2009 to 2012 in Poyang Lake, China
verfasst von: Juanle Wang
Yongjie Zhang
Fei Yang
Xiaoming Cao
Zhongqiang Bai
Junxiang Zhu
Eryang Chen
Yifan Li
Yingying Ran
Publikationsdatum: 01.04.2015
Verlag: Springer Berlin Heidelberg
Erschienen in: Environmental Earth Sciences / Ausgabe 8/2015
Print ISSN: 1866-6280
Elektronische ISSN: 1866-6299
DOI: https://doi.org/10.1007/s12665-014-3691-x

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 8/2015

Dynamic biofilm component in reclaimed water during rapid growth period

Jupiter’s effect on Earth’s climate

The influences of the amount of organic substrate on the performance of pilot-scale passive bioreactors for acid mine drainage treatment

Implications of variability in Indoor radon/thoron levels: a study of dwellings in Haryana, India

Evaluation of the processes controlling arsenic contamination in parts of the Brahmaputra floodplains in Assam, India

Distribution pattern and controlling factors of heavy mineral assemblages in surficial seafloor sediments offshore of the Eastern Shandong Peninsula (Yellow Sea)