| 基于RS/GIS的三江源地区太阳能资源遥感估算方法研究 |
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| 引用本文： | 肖建设,颜亮东,校瑞香,李晓东.基于RS/GIS的三江源地区太阳能资源遥感估算方法研究[J].资源科学,2012,34(11):2080-2086. |
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| 作者姓名： | 肖建设 颜亮东 校瑞香 李晓东 |
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| 作者单位： | 青海省气象科学研究所,西宁810001 青海省防灾减灾重点实验室,西宁810001 |
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| 基金项目： | 国家科技支撑计划(编号:2009BAC61B04);青海省科技厅科技能力建设计划项目(编号:2009-J-707)。 |
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| 摘 要： | 利用风云系列静止气象卫星可见光通道的行星反照率和红外通道亮温,依据地球-大气系统的物理模式反演得到三江源地区太阳总辐射。本文在Dedieu模式的基础上,考虑了高程、气溶胶、云和水汽的变化对晴天地表太阳辐射的影响,同时结合2005年-2007年玉树、玛沁两站地面实测辐射资料对模型参数修正,反演得到了地面的太阳总辐射;反演数据与地面辐射站直接测量的结果进行了比较分析,小时、日辐射相关系数达0.92以上,晴天两者的差别在5%以内,绝对误差在2MJ/m2以内。小时太阳总辐射时间尺度上开口向下抛物线,最大值在中午13时左右,最小值出现19时;日太阳辐射波动变化,日最大值约为42.50MJ/m2,最小值为1.38MJ/m2;在对计算地表太阳总辐射的经验公式进行时间推广时,根据梯形积分的思想,计算日太阳总辐射,反演值与实测值一致性较高。从月太阳总辐射空间分布图分析,年内选择辐射最大月份7月份分析,三江源地区7月份太阳总辐射在(500～800)MJ/m2之间,并呈从西到东减少趋势,最大值分布主要集中在可可西里地区,最小值集中在东南部地区。研究该区域太阳能其分布特征不仅可以拓展清洁能源的利用,而且有利于三江源地区植被生态环境保护。
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| 关 键 词： | 三江源地区 太阳辐射 卫星遥感 估算方法 6S |
Estimating Solar Energy Resources Based on RS/GIS at the "Three-River-Source" |
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| XIAO Jianshe,YAN Liangdong,XIAO Ruixiang and LI Xiaodong.Estimating Solar Energy Resources Based on RS/GIS at the "Three-River-Source"[J].Resources Science,2012,34(11):2080-2086. |
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| Authors: | XIAO Jianshe YAN Liangdong XIAO Ruixiang and LI Xiaodong |
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| Institution: | Qinghai Institute of Meteorological Sciences, Xining 810001, China;Disaster Prevention Key Laboratory of Qinghai Province, Xining 810001, China;Qinghai Institute of Meteorological Sciences, Xining 810001, China;Disaster Prevention Key Laboratory of Qinghai Province, Xining 810001, China;Qinghai Institute of Meteorological Sciences, Xining 810001, China;Disaster Prevention Key Laboratory of Qinghai Province, Xining 810001, China;Qinghai Institute of Meteorological Sciences, Xining 810001, China;Disaster Prevention Key Laboratory of Qinghai Province, Xining 810001, China |
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| Abstract: | We analyzed the characteristics of planetary albedo of visible channels and infrared channel brightness temperature data from FY serials meteorological satellites at the source of the three rivers. This study considered the effects of clouds, aerosols, vapor, and altitude on radiation transfer processes and established a horizontal direct radiation, scattering radiation and total radiation calculation model. Based on the Debieu model, we considered the effects of elevation, aerosol, water vapor and other factors on the clear day surface solar total radiation at the source of the three rivers, and compared these with actual measured values from ground radiation stations. We found that the change in actual measured values and simulative remote sensing values was consistent; the correlation coefficient was higher than 0.90. Daily mean variance was 10%. Differences between the actual measured value and simulative remote sensing value were within 5% and the absolute difference was within 2 MJ/m2 on an overcast day. The total solar radiation of hours showed a parabolic curve on time scales. The total solar radiation of hours reached the maximum in 13h and the minimum in 19h. Daily solar radiation variation showed that the daily maximum solar radiation value was 42.50MJ/m2, and the daily minimum was 1.38MJ/m2. The total solar radiation of hours is zero in 20h. Solar radiation was in the range of (500~800)MJ/m2 and the largest solar radiation value was for June. The spatial distribution of the surface solar total radiation ecreased from east to west. Distribution of maximum solar total radiation is in the Kekexili area, and the minimum solar total radiation is in southeast part of our study area. Because of the richest areas of solar energy, easier transport, a complete photovoltaic industry chain, utilization of solar energy market and national policy, there remains great potential for the development and utilization or solar energy in the three rivers source area. Studies such as ours can drive the expanded use of clean energy. |
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| Keywords: | Three rivers Solar radiation Remote sensing Estimation method 6S |
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