|
高分遥感在平原水库水质监测中的应用初探
|
Abstract:
平原水库与城镇用水和居民生活息息相关,利用高分遥感技术对其进行实时动态监测具有重要意义。以浙江省海盐县典型平原水库——千亩荡为例,使用四景GF-1/WFV和DigitalGlobe/QuickBird数据,进行了7种水质参数,包括叶绿素a、悬浮物、透明度、总氮、总磷、氨氮、溶解氧浓度的遥感估算,并讨论了各水质参数春季和冬季的分布变化。结果表明,千亩荡水库主体库区水质良好,而通往外港的周围河道水质则相对较差,以通往北部大横港的河道最为明显,且水库夏季富营养化现象较冬季更为明显。以此应用案例为切入点,总结分析了高分水质遥感在平原水库水质监测中大气校正、水体提取与反演模型三方面的技术难点与发展趋势,从而为城市平原水库的水质遥感模型研究与监测应用提供参考。
Plain reservoirs are closely related to urban water consumption and residents’ life, and it is of great significance to monitor the water quality using the real-time dynamic remote sensing technology. Based on the four GF-1/WFV and DigitalGlobe/QuickBird images, the water quality parameters in Qianmu Dang—the typical plain reservoir in Haiyan, Zhejiang, including chlorophyll-a, suspended matter, transparency, total nitrogen, total phosphorus, ammonia nitrogen and dissolved oxygen were estimated and the water quality distribution in spring and summer was discussed. The results show that the water quality of the main reservoir area in Qianmu Dang is relatively good, and the water quality of the surrounding river to the port is relatively poor, with the most serious area in the river channel to the north, and the reservoir eutrophication in summer is more obvious than in winter. Based on this application case, the main technical difficulties and development trend of atmospheric correction, water extraction and inversion model in the plain reservoir water quality monitoring using high resolution remote sensing are analyzed and summarized, so as to provide reference for water quality remote sensing model research and monitoring application of urban plain reservoir.
[1] | Odermatt, D., Gitelson, A.A., Brando, V.E. and Schaepman, M. (2012) Review of Constituent Retrieval in Optically Deep and Complex Waters from Satellite Imagery. Remote Sensing of Environment, 118, 116-126.
10.1016/j.rse.2011.11.013 |
[2] | Matthews, M.W. (2011) A Current Review of Empirical Procedures of Remote Sensing in Inland and Near-Coastal Transitional Waters. International Journal of Remote Sensing, 32, 6855-6899.
10.1080/01431161.2010.512947 |
[3] | 张寿选, 段洪涛, 谷孝鸿. 基于水体透明度反演的太湖水生植被遥感信息提取[J]. 湖泊科学, 2008, 20(2): 184-190. |
[4] | 旷达, 韩秀珍, 刘翔, 等. 基于环境一号卫星的太湖叶绿素a浓度提取[J]. 中国环境科学, 2010, 30(9): 1268-1273. |
[5] | 朱利, 李云梅, 赵少华, 等. 基于GF-1号卫星WFV数据的太湖水质遥感监测[J]. 国土资源遥感, 2015, 27(1): 113-120. |
[6] | 王得玉, 冯学智. 基于TM影像的钱塘江入海口水体透明度的时空变化分析[J]. 江西师范大学学报(自然版), 2005, 29(2): 185-188. |
[7] | 万风年, 纪晓亮, 朱元励, 等. 应用遥感监测城市水体水质研究[J]. 浙江农业科学, 2013, 1(3): 349-355. |
[8] | Wu, C.F., Wu, J.P., Qi, J.G., et al. (2010) Empirical Estimation of Total Phosphorus Concentration in the Mainstream of the Qiantang River in China Using Landsat TM Data. International Journal of Remote Sensing, 31, 2309-2324.
10.1080/01431160902973873 |
[9] | 王冰, 安慧君, 吕昌伟. 基于多源遥感数据的呼伦湖溶解氧反演模型[J]. 生态学杂志, 2013, 32(4): 993-998. |
[10] | 马晓珊, 郭晓勇, 孟新, 等. 光学遥感对地成像过程中的邻近效应模拟分析[J]. 红外与毫米波学报, 2015, 34(2): 250-256. |
[11] | 王中挺, 李小英, 李莘莘, 等. GF-1星WFV相机的快速大气校正[J]. 遥感学报, 2016, 20(3): 353-360. |
[12] | 孙林, 于会泳, 傅俏燕, 等. 地表反射率产品支持的GF-1/PMS气溶胶光学厚度反演及大气校正[J]. 遥感学报, 2016, 20(2): 216-228. |
[13] | 侯旭洲. 高分一号卫星遥感影像大气校正与效果评价方法研究[D]: [硕士学位论文]. 北京: 中国科学院大学, 2014. |
[14] | 周文鑫, 何隆华, 马荣华, 等. 基于面向对象的TM_LBV变换水体信息提取[J]. 中国科学院研究生院学报, 2012, 29(6): 775-779. |
[15] | 张成才, 李艳桦, 姚亮亮. 面向对象的ETM+影像分割尺度与水体信息提取[J]. 人民黄河, 2014(7): 54-56. |
[16] | 衣燕. 面向对象的昆明滇池子流域高分辨率遥感影像地物信息提取[D]: [硕士学位论文]. 昆明: 昆明理工大学, 2009. |
[17] | 王皓, 赵冬至, 王林, 等. 水质遥感研究进展[J]. 海洋环境科学, 2012, 31(2): 285-288. |