Research on Inversion Model of Water Quality of Wen-Rui Tang River Using High Resolution IKONOS Multispectral Imagery

XIAN Cui-ling, ZHANG Yan-jun, ZHANG Ming-qin, JIANG Ting, LIN Pei-rong, SHANG Xu

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China Rural Water and Hydropower ›› 2017 ›› (3) : 90-95.

Research on Inversion Model of Water Quality of Wen-Rui Tang River Using High Resolution IKONOS Multispectral Imagery

  • XIAN Cui-ling1,ZHANG Yan-jun1,3,ZHANG Ming-qin2,JIANG Ting1,LIN Pei-rong1,SHANG Xu3
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Abstract

Aiming at the disadvantages of high-cost and limited monitoring sites of Wenzhou water quality monitoring, taking Wen-Rui Tang River as study area, this paper develops multiple linear regressions (MLR) and artificial neural network (ANN) models to estimate TN and TP concentrations from high spatial resolution remote sensing imagery and in situ water samples collected concurrently with overpassing satellite. It turned out that, the average relative errors of MLR and ANN are respectively 15.45% and 6.70% for TN, while 13.91% and 13.62% for TP. Two models are effective for monitoring water quality state and spatial distribution of Wen-Rui Tang River with the value of in-depth research and extension.

Key words

Wenruitang River / remote sensing inversion models of water quality / total nitrogen / total phosphorus

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XIAN Cui-ling, ZHANG Yan-jun, ZHANG Ming-qin, JIANG Ting, LIN Pei-rong, SHANG Xu. Research on Inversion Model of Water Quality of Wen-Rui Tang River Using High Resolution IKONOS Multispectral Imagery. China Rural Water and Hydropower. 2017, 0(3): 90-95

References

[1]Liu J,Zhang Y,Yuan D,Song X. Empirical Estimation of Total Nitrogen and Total Phosphorus Concentration of Urban Water Bodies in China Using High Resolution IKONOS Multispectral Imagery[J].Water.2015, 7(11):6551-6573.
[2]谢欢,童小华.水质监测与评价中的遥感应用[J].遥感信息, 2006(02):67-70.
[3] Kloiber S M,Brezonik P L,Olmanson L G,et al.A procedure for regional lake water clarity assessment using Landsat multispectral data[J].Remote Sensing of Environment,2002,82(1):38-47.
[4] Song K,Li L,Li S,et al.Hyperspectral Remote Sensing of Total Phosphorus (TP) in Three Central Indiana Water Supply Reservoirs[J].Water Air & Soil Pollution,2012,223(4):1481-1502.
[5]闻建光,肖青,杨一鹏,等.基于 Hyperion 数据的太湖水体叶绿素 a浓度遥感估算[J].湖泊科学,2006,18(6):327-336.
[6]吕恒,江南,罗潋葱.基于TM 数据的太湖叶绿素a浓度定量反演[J].地理科学,2006,26(4):472-476.
[7]Hans Hakvoort,Johan de Haan ,et al.Towards airborne remote sensing of water quality in The Netherlands-validation and error analysis[J].Journal of Photogrammetry & Remote sensing, 2007,57:171-1.
[8]Zhang Y L,Liu M L,Qin B Q,et al.Modeling remote-sensing reflectance and retrieving chlorophyll-A concentration in extremely turbid case-2 waters (Lake Taihu,China)[J].IEEE Transactions on Geoscience & Remote Sensing,2009,47(7):1937-1948.
[9] Shi K,Zhang Y,Zhu G,et al.Long-term remote monitoring of total suspended matter concentration in Lake Taihu using 250m MODIS-Aqua data[J].Remote Sensing of Environment, 2015,164:43-56.
[10] Zhang Y B,Zhang Y L,Shi K,et al.A Landsat 8 OLI-Based,Semianalytical Model for Estimating the Total Suspended Matter Concentration in the Slightly Turbid Xin’anjiang Reservoir (China)[J].IEEE,2016,9(1):398-413.
[11] 王学军,马廷.应用遥感技术监测和评价太湖水质状况[J].环境科学,2000, 21(6):65-68.
[12] 王建平,程声通,贾海峰等.用 TM 影像进行湖泊水色反演研究的人工神经网络模型[J].环境科学,2003,24(2):18-24.
[13] 张霄宇,林以安,唐仁友等. 遥感技术在河口颗粒态总磷分布及扩散研究中的应用初探[J]. 2005,01:1-10.
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