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基于Landsat8影像估算新安江水库光合有效辐射漫射衰减系数
引用本文:张毅博,张运林,査勇,施坤,周永强,刘明亮.基于Landsat8影像估算新安江水库光合有效辐射漫射衰减系数[J].环境科学,2015,36(12):4420-4429.
作者姓名:张毅博  张运林  査勇  施坤  周永强  刘明亮
作者单位:南京师范大学虚拟地理环境教育部重点实验室, 江苏省地理信息资源开发与利用协同创新中心, 南京 210023;中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室, 南京 210008;中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室, 南京 210008;南京师范大学虚拟地理环境教育部重点实验室, 江苏省地理信息资源开发与利用协同创新中心, 南京 210023;中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室, 南京 210008;中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室, 南京 210008;中国科学院大学, 北京 100049;杭州市环境保护科学研究院, 杭州 310014
基金项目:国家自然科学基金项目(41325001);江苏省自然科学基金项目(BK20141515);湖泊与环境国家重点实验室开放基金项目(2014SKL004)
摘    要:光合有效辐射(photosynthetically active radiation,PAR)是指可以被植物利用并进行光合作用的那部分太阳辐射,其进入湖水后受光学组分(悬浮颗粒、有色可溶性有机物和浮游植物)的吸收和散射作用发生衰减,对湖泊生物的密度和分布具有重要影响.本研究构建了基于Landsat 8影像数据的较为清洁的新安江水库PAR漫衰减系数的遥感估算模型,进而分析其时空分布特征及主要影响因素.结果表明,利用Landsat 8的第二、三和第八波段构建的多元回归模型能够得到较为准确的估算结果,模型决定系数为0.87.利用独立样本对构建的模型验证,预测值和实测值相对误差绝对值均值为9.16%,均方根误差为0.06 m~(-1),由此可见利用Landsat 8数据的3个波段,采用多元回归模型能够较好地估算较清洁水体的PAR漫射衰减系数.基于14景Landsat 8影像发现,新安江水库PAR漫射衰减系数季节差异性明显,秋季(9~11月)和夏季(6~8月)PAR漫射衰减系数较高,分别为(0.82±0.60)m~(-1)和(0.77±0.41)m~(-1),而冬季(12~次年2月)和春季(3~5月)PAR漫射衰减系数相对较低,分别为(0.56±0.50)m~(-1)和(0.40±0.45)m~(-1).新安江水库PAR漫射衰减系数空间差异性显著,全湖PAR漫射衰减系数变化范围为(0.002~13.86)m~(-1),均值为(0.64±0.49)m~(-1).漫射衰减系数的季节变化主要是由季节性降雨和浮游植物季节性生长引起,空间差异性主要由外源河流输入和部分水域采砂过程导致悬浮物浓度变化引起.

关 键 词:Landsat  8  新安江水库  PAR漫射衰减系数  经验方法  遥感估算
收稿时间:6/9/2015 12:00:00 AM
修稿时间:8/1/2015 12:00:00 AM

Estimation of Diffuse Attenuation Coefficient of Photosynthetically Active Radiation in Xin'anjiang Reservoir Based on Landsat 8 Data
ZHANG Yi-bo,ZHANG Yun-lin,ZHA Yong,SHI Kun,ZHOU Yong-qiang and LIU Ming-liang.Estimation of Diffuse Attenuation Coefficient of Photosynthetically Active Radiation in Xin'anjiang Reservoir Based on Landsat 8 Data[J].Chinese Journal of Environmental Science,2015,36(12):4420-4429.
Authors:ZHANG Yi-bo  ZHANG Yun-lin  ZHA Yong  SHI Kun  ZHOU Yong-qiang and LIU Ming-liang
Institution:Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Key Laboratory of Virtual Geographical Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China;State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Key Laboratory of Virtual Geographical Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China;State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;University of Chinese Academy of Sciences, Beijing 100049, China;Hangzhou Institute of Environmental Science, Hangzhou 310014, China
Abstract:Photosynthetically active radiation (PAR) is defined as the wavelength band of 400 to 700 nm, representing most of the visible solar radiation that could be used for photosynthesis. PAR is attenuated by the absorption and scattering of nonpigment suspended matter, chromophoric dissolved organic matter and phytoplankton, and it plays an important role in determining the density and distribution of aquatic organisms. This study developed an empirical model and presented the spatial-temporal distribution of PAR diffuse attenuation coefficient Kd(PAR)] for the slightly turbid Xin'anjiang Reservoir based on the in situ ground data and the matching Landsat 8 data. The results showed that the three-band combinational model of Kd(PAR) using Band 2, Band 3 and Band 8 could give a reasonable and acceptable estimation accuracy with a determination coefficient of 0.87. Independent dataset was used to validate the model with a mean relative error of 9.16% and a root mean square error of 0.06 m-1. Therefore, the three-band combination using Landsat 8 data could be used to accurately estimate Kd(PAR) in the slightly turbid Xin'anjiang Reservoir. Kd(PAR) exhibited significant seasonal and spatial differences. Kd(PAR) was higher in autumn (September-November) and summer (June-August) with the average Kd(PAR) of (0.82±0.60) m-1and (0.77±0.41) m-1, but lower in winter (December-February) and spring (March-May) with the average Kd(PAR) of (0.56±0.50) m-1 and (0.40±0.45) m-1, respectively. Spatially, Kd(PAR) ranged from 0.002 to 13.86 m-1 with an average of (0.64±0.49) m-1. The temporal heterogeneity of Kd(PAR) was mainly caused by the seasonal rainfall and seasonal growth of phytoplankton. The spatial heterogeneity was mainly caused by suspended matter concentration derived from watershed inputs and human dredging activity.
Keywords:Landsat 8 data  Xin'anjiang Reservoir  PAR diffuse attenuation coefficient  empirical method  remote sensing estimation
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