基于MODIS数据的北疆积雪黑碳和雪粒径反演及时空变化分析

doi:10.7522/j.issn.1000-0240.2019.0525

冰川冻土 ›› 2019, Vol. 41 ›› Issue (5): 1192-1204.doi: 10.7522/j.issn.1000-0240.2019.0525

基于MODIS数据的北疆积雪黑碳和雪粒径反演及时空变化分析

魏亚瑞^1,2,3,4, 郝晓华², 王建^2,5, 李弘毅², 赵宏宇², 高扬⁶, 邵东航⁷, 钟歆玥², 李红星²

1. 兰州交通大学测绘与地理信息学院, 甘肃兰州 730070;
2. 中国科学院西北生态环境资源研究院, 甘肃兰州 730000;
3. 地理国情监测技术应用国家地方联合工程研究中心, 甘肃兰州 730070;
4. 甘肃省地理国情监测工程实验室, 甘肃兰州 730070;
5. 江苏省地理信息资源开发与利用协同创新中心, 江苏南京 210023;
6. 太原理工大学, 山西太原 030024;
7. 电子科技大学, 四川成都 611731

收稿日期:2019-06-22 修回日期:2019-09-28 发布日期:2020-02-24
通讯作者: 郝晓华,E-mail:haoxh@lzb.ac.cn. E-mail:haoxh@lzb.ac.cn
作者简介:魏亚瑞(1995-),女,甘肃白银人,2017年在兰州财经大学获学士学位,现为兰州交通大学在读硕士研究生,从事积雪遥感方向研究.E-mail:0217719@stu.lzjtu.edu.cn
基金资助:
国家自然科学基金项目（41971325）；科技基础资源调查专项（2017FY100502）；受兰州交通大学优秀平台支持（201806）资助

Retrieval and analysis of spatiotemporal variation of snow black carbon and snow grain size in Northern Xinjiang based on MODIS data

WEI Yarui^1,2,3,4, HAO Xiaohua², WANG Jian^2,5, LI Hongyi², ZHAO Hongyu², GAO Yang⁶, SHAO Donghang⁷, ZHONG Xinyue², LI Hongxing²

1. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China;
2. Northwest Institute of Ecology and Environmental Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
3. National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou 730070, China;
4. Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou 730070, China;
5. Geography of Jiangsu Province Collaborative Innovation Center for Information Resources Development and Utilization, Nanjing 210023;
6. Taiyuan University of Technology, Taiyuan 030024, China;
7. University of Electronic Science and Technology, Chengdu 611731, China

Received:2019-06-22 Revised:2019-09-28 Published:2020-02-24

摘要/Abstract

摘要： 积雪是地球上反射率较高的自然表面，对于中高纬度地区的水文和能量收支平衡发挥着重要作用。表层积雪中的黑碳和雪粒径变化可以显著影响积雪反照率，造成积雪对太阳辐射吸收的变化，进而对区域气候变化和水文循环产生反馈作用。利用遥感技术对季节性积雪表层黑碳和雪粒径进行定量评估，可以获取时空上连续系统的雪表黑碳浓度和雪粒径变化情况，这也是许多气候和水文模型的输入因子。以中国主要季节性积雪区北疆为研究区，基于MODIS（Moderate Resolution Imaging Spectroradiometer）数据的3（0.47 μm）、2（0.86 μm）和5（1.24 μm）波段，采用SGSP（Snow Grain Size and Pollution Amount）算法反演2000-2018年积雪期的雪表黑碳浓度和雪粒径，并结合地面观测数据对于反演结果进行了精度验证，综合分析北疆雪表黑碳浓度和雪粒径时空变化趋势。结果显示，SGSP算法能够同时反演雪表黑碳浓度和雪粒径，并且验证结果表明纯雪像元上反演结果具有较好的精度；2000-2018年北疆雪表年均黑碳浓度和年均雪粒径都随时间变化呈现微弱下降趋势；受地理位置和局部污染源的影响，北疆积雪黑碳浓度空间分布复杂，天山北坡经济带平均黑碳浓度最高，伊犁地区平均黑碳浓度最低，雪粒径的空间分布显示塔城地区平均雪粒径最大，伊犁地区最小。

关键词: MODIS, 黑碳, 雪粒径, SGSP, 时空变化分析

Abstract: Snow is the natural surface with high reflectivity on the earth, which plays an important role in the hydrological and energy balance in the middle and high latitudes. The change of black carbon and snow grain size in surface snow can significantly affect the albedo of snow, resulting in the change of solar radiation absorption by snow, and then produce feedback on regional climate change and hydrological cycle. Using remote sensing technology to quantitatively evaluate the black carbon and snow grain size of seasonal snow surface can obtain the variation of snow surface black carbon concentration and snow grain size in continuous system in time and space, which is also the input factor of many climate and hydrological models. In this paper, taking the northern Xinjiang of the main seasonal snow accumulation areas in China as the study area, based on the 3 (0.47 μm), 2(0.86 μm) and 5 (1.24 μm) bands of MODIS (Moderate Resolution Imaging Spectroradiometer) data, the snow surface black carbon concentration and snow grain size during the snow accumulation period from 2000 to 2018 are inversed by SGSP (Snow Grain Size and Pollution Amount) algorithm, and the accuracy of the inversion results is verified by the ground observation data. The temporal and spatial variation trend of snow surface black carbon concentration and snow grain size in northern Xinjiang was comprehensively analyzed. The results show that the SGSP algorithm can retrieve the black carbon concentration and snow grain size of snow surface at the same time, and the results show that the inversion results on pure snow pixels have good accuracy, and the average annual black carbon concentration and average annual snow grain size of snow surface in northern Xinjiang show a weak downward trend with the change of time from 2000 to 2018. Under the influence of geographical location and local pollution sources, the spatial distribution of snow black carbon concentration in northern Xinjiang is complex, the average black carbon concentration in the economic belt of the northern slope of Tianshan Mountain is the highest, the average black carbon concentration in Yili area is the lowest, the spatial distribution of snow grain size shows that the average snow grain size in Tacheng is the largest, and that in Yili is the smallest.

Key words: MODIS, black carbon, snow grain size, SGSP, analysis of spatiotemporal variation

中图分类号:

P426.635

魏亚瑞, 郝晓华, 王建, 李弘毅, 赵宏宇, 高扬, 邵东航, 钟歆玥, 李红星. 基于MODIS数据的北疆积雪黑碳和雪粒径反演及时空变化分析[J]. 冰川冻土, 2019, 41(5): 1192-1204.

WEI Yarui, HAO Xiaohua, WANG Jian, LI Hongyi, ZHAO Hongyu, GAO Yang, SHAO Donghang, ZHONG Xinyue, LI Hongxing. Retrieval and analysis of spatiotemporal variation of snow black carbon and snow grain size in Northern Xinjiang based on MODIS data[J]. Journal of Glaciology and Geocryology, 2019, 41(5): 1192-1204.

参考文献

[1] Li Peiji. Preliminary evaluation of seasonal snow resources in China[J]. Journal of Geographical Sciences, 1988(2):108-119.[李培基. 中国季节积雪资源的初步评价[J]. 地理学报, 1988(2):108-119.]
[2] Zhang Tingjun, Zhong Wei. Snow distribution and its type division in Eurasia[J]. Journal of Glaciology and Geocryology, 2014, 36(3):481-490.[张廷军, 钟歆玥. 欧亚大陆积雪分布及其类型划分[J]. 冰川冻土, 2014, 36(3):481-490.]
[3] Barnett T P, Adam J C, Lettenmaier D P. Potential impacts of a warming climate on water availability in snow-dominated regions[J]. Nature (London), 2005, 438(7066):303-309.
[4] Lü Y, Wu D, Sun Z. Effect of black carbon concentration on the reflection property of snow:a comparison with model results[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(11):6823-6840.
[5] Da Ronco P, De Michele C, Montesarchio M, et al. Comparing COSMO-CLM simulations and MODIS data of snow cover extent and distribution over Italian Alps[J]. Climate Dynamics, 2016, 47(12):3955-3977.
[6] Hadley O L, Kirchstetter T W. Black-carbon reduction of snow albedo[J]. Nature Climate Change, 2012, 2(6):437-440.
[7] Bond T C, Doherty S J, Fahey D W, et al. Bounding the role of black carbon in the climate system:A scientific assessment[J]. Journal of Geophysical Research Atmospheres, 2013, 118(11):5380-5552.
[8] Chen Wenqian, Ding Jianli, Zhang Wei, et al. Study on black carbon aerosol in seasonal snow in Xinjiang arid area[J]. China Environmental Science, 2019, 39(1):83-91.[陈文倩, 丁建丽, 张喆, 等. 新疆干旱区季节性积雪中黑碳气溶胶研究[J]. 中国环境科学, 2019, 39(1):83-91.]
[9] Hansen J, Nazarenko L. Soot climate forcing via snow and ice albedos[J]. Proceedings of the National Academy of Sciences, 2004, 101(2):423-428.
[10] Doherty S J, Grenfell T C, Forsstr M S, et al. Observed vertical redistribution of black carbon and other insoluble light-absorbing particles in melting snow[J]. Journal of Geophysical Research:Atmospheres, 2013, 118(11):5553-5569.
[11] Allen S K, Plattner G K, Nauels A, et al. Climate Change 2013:The Physical Science Basis. An overview of the Working Group 1 contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC)[J]. Computational Geometry, 2007, 18(2):95-123.
[12] Ming J, Xiao C, Du Z, et al. An overview of black carbon deposition in High Asia glaciers and its impacts on radiation balance[J]. Advances in Water Resources, 2013, 55:80-87.
[13] Ming J, Xiao C, Cachier H, et al. Black Carbon (BC) in the snow of glaciers in west China and its potential effects on albedos[J]. Atmospheric Research, 2009, 92(1):114-123.
[14] Qian Y, Wang H, Zhang R, et al. A sensitivity study on modeling black carbon in snow and its radiative forcing over the Arctic and Northern China[J]. Environmental Research Letters, 2014, 9(6):1-10.
[15] Zhang Y, Kang S, Sprenger M, et al. Black carbon and mineral dust in snow cover on the Tibetan Plateau[J]. The Cryosphere, 2018, 12(2):413-431.
[16] Yasunari T J, Koster R D, Lau W K M, et al. Impact of snow darkening via dust, black carbon, and organic carbon on boreal spring climate in the Earth system[J]. Journal of Geophysical Research:Atmospheres, 2015, 120(11):5485-5503.
[17] Hansen J, Nazarenko L. Soot climate forcing via snow and ice albedos[J]. Proceedings of the National Academy of Sciences, 2004, 101(2):423-428.
[18] Warren S G, Wiscombe W J. A Model for the Spectral Albedo of Snow. II:Snow Containing Atmospheric Aerosols[J]. Journal of the Atmospheric Sciences, 1980, 37(12):2734-2745.
[19] He C, Takano Y, Liou K N, et al. Impact of snow grain shape and black carbon-snow internal mixing on snow optical properties:parameterizations for climate models[J]. Journal of Climate, 2017, 30(24):10019-10036.
[20] He C, Flanner M G, Chen F, et al. Black carbon-induced snow albedo reduction over the Tibetan Plateau:uncertainties from snow grain shape and aerosol-snow mixing state based on an updated SNICAR model[J]. Atmospheric Chemistry and Physics, 2018, 18(15):11507-11527.
[21] Hall A, Qu X. Using the current seasonal cycle to constrain snow albedo feedback in future climate change[J]. Geophysical Research Letters, 2006, 330(3):155-170.
[22] Hao Xiaohua, Wang Jie, Wang Jian, et al. Spectral characteristics and inversion of different snow particle sizes in Northern Xinjiang[J]. Spectroscopy and Spectral Analysis, 2013, 33(1):190-195.[郝晓华, 王杰, 王建, 等. 北疆地区不同雪粒径光谱特征观测及反演研究[J]. 光谱学与光谱分析, 2013, 33(1):190-195.]
[23] König M, Winther J, Isaksson E. Measuring snow and glacier ice properties from satellite[J]. Reviews of Geophysics, 2001, 39(1):1.
[24] Warren, Stephen G. Can black carbon in snow be detected by remote sensing?[J]. Journal of Geophysical Research Atmospheres, 2013, 118(2):779-786.
[25] Painter T H, Bryant A C, Mckenzie Skiles S. Radiative forcing by light absorbing impurities in snow from MODIS surface reflectance data[J]. Geophysical Research Letters, 2012, 39(17):17502.
[26] Wiscombe W J, Warren S G. A Model for the Spectral Albedo of Snow. I:Pure Snow[J]. Journal of Atmospheric Sciences, 1980, 37(12):2712-2733.
[27] Aoki T, Fukabori M, et al. Effects of snow physical parameters on spectral albedo and bidirectional reflectance of snow surface[J]. Journal of Geophysical Research:Atmospheres, 2000, 105(D8):10219-10236.
[28] Kokhanovsky A, Zege E P. Scattering optics of snow[J]. Appl Opt, 2004, 43(7):1589-1602.
[29] Zege E, Katsev I, Malinka A, et al. New algorithm to retrieve the effective snow grain size and pollution amount from satellite data[J]. Annals of Glaciology, 2008, 49(1):139-144.
[30] Zege E P, Katsev I L, Malinka A V, et al. Algorithm for retrieval of the effective snow grain size and pollution amount from satellite measurements[J]. Remote Sensing of Environment, 2011, 115(10):2674-2685.
[31] Wiebe H, Heygster G, Zege E, et al. Snow grain size retrieval SGSP from optical satellite data:Validation with ground measurements and detection of snow fall events[J]. Remote sensing of environment, 2013, 128:11-20.
[32] Qian Y, Gustafson Jr W I, Leung L R, et al. Effects of soot-induced snow albedo change on snowpack and hydrological cycle in western United States based on weather research and forecasting chemistry and regional climate simulations[J]. Journal of Geophysical Research:Atmospheres, 2009, 114:1-19.
[33] Zhuang Xiaocui, Guo Cheng, Zhao Zhengbo, et al. Analysis of snow cover change in Altay Region, Xinjiang[J]. Journal of Arid Meteorology, 2010, 28(2):190-197.[庄晓翠, 郭城, 赵正波,等. 新疆阿勒泰地区积雪变化分析[J]. 干旱气象, 2010, 28(2):190-197.]
[34] Guo Lingpeng, Li Lanhai, Xu Junrong, et al. Simultaneous observation experiments of snowmelt rate and soil moisture under temperature change conditions[J]. Arid Zone Research, 2012, 29(5):890-897.[郭玲鹏, 李兰海, 徐俊荣, 等. 气温变化条件下融雪速率和土壤水分变化的同步观测试验[J]. 干旱区研究, 2012, 29(5):890-897.]
[35] Li Yang, Li Jiangang, Liu Yan, et al. Characteristics analysis of snow and frozen soil changes in Northern Xinjiang[J]. Soil and Water Conservation Research, 2015, 22(5):342-348.[李杨, 李建刚, 刘艳, 等. 北疆地区积雪与冻土变化的特征分析[J]. 水土保持研究, 2015, 22(5):342-348.]
[36] Yang Tao, Huang Farong, Li Qian, et al. Temporal and spatial variations of NDVI in vegetation growing season in Northern Xinjiang and its relationship with snowfall in winter[J]. Remote Sensing Technology and Application, 2017, 32(6):1132-1140.[杨涛, 黄法融, 李倩, 等. 新疆北部植被生长季NDVI时空变化及其与冬季降雪的关系[J]. 遥感技术与应用, 2017, 32(6):1132-1140.]
[37] Huang X, Deng J, Ma X, et al. Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China[J]. Cryosphere, 2016, 10(1/2/3/4/5):2453-2463.
[38] Barnes W L, Pagano T S, Salomonson V V. Prelaunch characteristics of the Moderate Resolution Imaging Spectroradiometer (MODIS) on EOS-AM1[J]. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36(4):1088-1100.
[39] Salomonson V V, Appel I. Development of the Aqua MODIS NDSI fractional snow cover algorithm and validation results[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(7):1747-1756.
[40] Ye H, Zhang R, Shi J, et al. Black carbon in seasonal snow across northern Xinjiang in northwestern China[J]. Environmental Research Letters, 2012, 7(4):1-9.
[41] Clarke A D, Noone K J. Soot in the Arctic snowpack:A cause for perturbations in radiative transfer[J]. Atmospheric Environment (1967), 1985, 19(12):2045-2053.
[42] Huang J, Fu Q, Zhang W, et al. Dust and black carbon in seasonal snow across northern China[J]. Bulletin of the American Meteorological Society, 2011, 92(2):175-181.
[43] Zuanon N. IceCube, A portable and reliable instruments for snow specific surface area measurement in the field[C]//International Snow Science Workshop Grenoble-Chamonix Mont-Blance-2013 Proceedings, 2013:1020-1023.
[44] Hall D K, Riggs G A, Salomonson V V, et al. MODIS snow-cover products[J]. Remote sensing of Environment, 2002, 83(1/2):181-194.
[45] Salomonson V V, Appel I. Estimating fractional snow cover from MODIS using the normalized difference snow index[J]. Remote Sensing of Environment, 2004, 89(3):351-360.
[46] Kokhanovsky A, Rozanov V. The retrieval of snow characteristics from optical measurements[M]//Light Scattering Reviews, Vol. 6. Springer, Berlin, Heidelberg, 2012:289-331.
[47] Kokhanovsky A A, Macke A. Integral light-scattering and absorption characteristics of large, nonspherical particles[J]. Applied optics, 1997, 36(33):8785-8790.
[48] Fierz D C. The 2008 international classification of seasonal snow on the ground[J]. Mon. wea. rev, 2008, 94(4):265-271.
[49] Pu W, Wang X, Wei H, et al. Properties of black carbon and other insoluble light-absorbing particles in seasonal snow of northwestern China[J]. Cryosphere, 2017, 11(3):1-59.
[50] Ye Hao. Observational study of black carbon in seasonal snow in northern China[D]. Lanzhou:Lanzhou University, 2013.[叶浩. 中国北方地区季节性积雪中黑碳的观测研究[D]. 兰州:兰州大学, 2013.]
[51] Pu Wei. Content, source and radiation effects of absorbing particles in seasonal snow in Northern China[D]. Lanzhou:Lanzhou University, 2018.[浦伟. 中国北方地区季节性积雪中吸收性粒子的含量、来源及其辐射效应研究[D]. 兰州:兰州大学, 2018.]
[52] Wang X, Doherty S J, Huang J. Black carbon and other light-absorbing impurities in snow across Northern China[J]. Journal of Geophysical Research:Atmospheres, 2013, 118(3):1471-1492.

基于MODIS数据的北疆积雪黑碳和雪粒径反演及时空变化分析

Retrieval and analysis of spatiotemporal variation of snow black carbon and snow grain size in Northern Xinjiang based on MODIS data

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