Please wait a minute...
 
国土资源遥感  2013, Vol. 25 Issue (1): 123-129    DOI: 10.6046/gtzyyg.2013.01.22
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
云南省水蚀荒漠化遥感调查及成因分析
毛雨景1, 赵志芳1, 吴文春2, 王锋德1
1. 云南大学资源环境与地球科学学院,昆明 650091;
2. 云南大学经济学院,昆明 650091
Remote sensing investigation of water erosion desertification and cause in Yunnan Province
MAO Yujing1, ZHAO Zhifang1, WU Wenchun2, WANG Fengde1
1. School of Resource Environment and Earth Sciences, Yunnan University, Kunming 650091, China;
2. School of Economics, Yunnan University, Kunming 650091, China
全文: PDF(5235 KB)   HTML  
输出: BibTeX | EndNote (RIS)      
摘要 

采用RS及GIS技术,对云南省水蚀荒漠化进行遥感调查,综合分析其分布规律及成因,提出防治对策。研究表明:云南省2008年水蚀荒漠化土地面积为35 949.69 km2,占云南省土地面积的9.39%;地质环境、地形地貌等自然因素决定了云南省水蚀荒漠化的整体空间分布特征,人为因素可诱发水蚀荒漠化或加剧水蚀荒漠化程度。建议优先部署滇东、滇中典型高原中山地貌区内沉积岩中泥岩、粘土岩、碳酸盐岩分布区,第四系松散沉积物分布区,以及金沙江—红河断裂带南段等7条活动断裂附近区域的水蚀荒漠化防治工作,完善已有生态环境保护工程,减轻人口压力,规范矿业开发等工业活动,防止人为因素诱发和加剧水蚀荒漠化。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
夏双
阮仁宗
张月
颜梅春
关键词 气溶胶光学厚度蓝藻水华太湖MODIS    
Abstract

Using RS and GIS technology,the authors analyzed the regularity and causes of water erosion desertification in Yunnan Province and put forward the prevention measures.Studies show that the area of water erosion desertification is 35 949.69 km2,accounting for 9.39% of the total land in Yunnan Province.The overall spatial distribution of erosion desertification is determined by geological environment,topography and other natural factors,and is also triggered and exacerbated by human factors.It is suggest that water erosion desertification prevention work should give priority to such regions as mudstone,claystone,carbonate rocks,Quaternary sediments,the vicinity of the south section of Jinsha River - Honghe River fault zone and other six active faults in the typical eastern and central Yunnan plateau middle mountain type landforms.The existing ecological environment protection projects should be improved,the population pressure should be reduced,and the mining and other industrial activities should be regulated to avoid inducing and exacerbating erosion desertification.

Key wordsAOT    cyanbacteria bloom    Taihu Lake    MODIS
收稿日期: 2012-05-13      出版日期: 2013-02-21
:  TP79  
基金资助:

中国地质调查局"西南三江区域遥感地质综合调查"项目(编号:1212010911094)资助。

通讯作者: 赵志芳(1971-),女,教授,主要从事资源环境、遥感地质、第四纪地质方面的研究。E-mail:zzf_1002@163.com。
作者简介: 毛雨景(1988-),男,硕士研究生,主要从事资源环境、遥感地质方面的研究。E-mail:maoyujing2008@163.com。
引用本文:   
毛雨景, 赵志芳, 吴文春, 王锋德. 云南省水蚀荒漠化遥感调查及成因分析[J]. 国土资源遥感, 2013, 25(1): 123-129.
MAO Yujing, ZHAO Zhifang, WU Wenchun, WANG Fengde. Remote sensing investigation of water erosion desertification and cause in Yunnan Province. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(1): 123-129.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2013.01.22      或      https://www.gtzyyg.com/CN/Y2013/V25/I1/123
[1] 中华人民共和国林业部防治荒漠化办公室.联合国关于在发生严重干旱和/或沙漠化的国家特别是在非洲防治沙漠化的公约[M].北京:中国林业出版社,1994. Office of the Combat Desertification of Department of Forestry,People's Republic of China.United Nations Convention to Combat Desertification(UNCCD)in the event of a serious drought and/ or desertification,especially in Africa[M].Beijing:China Forestry Publishing House,1994.
[2] Hellden U.Drought impact monitoring-a remote sensing study of desertification in Kordofan Sudan[J].Land University Nature Geography Institution,1984,61:61.
[3] Mann,H S,Shankaranarayan K A,Dhir R P.Natural resources survey and environmental monitoring in Arid Rajasthan using remote sensing[M].Deserts and Arid Lands.The Hague,Netherlands:Martinus Nijhoff Publ,1984:157-170.
[4] Olsson L.An integrated study of desertification applications of remote sensing GIS and spatial models in Semiarid Sudan[J].Land University Nature Geography Institution,1985,98:170.
[5] 朱震达,王涛.从若干典型地区的研究对近十余年来中国土地沙漠化演变趋势的分析[J].地理学报,1990,45(4):430-440. Zhu Z D,Wang T.An analysis on the trend of land desertification in northern China during the last decade based on examples from some typical areas[J].Acta Geographica Sinica,1990,45(4):430-440.
[6] 李宝林,周成虎.东北平原西部沙地近10年的沙质荒漠化[J].地理学报,2001,56(3):307-315. Li B L,Zhou C H.Sandy desertification in west of northeast China plain in the past 10 years[J].Acta Geographica Sinica,2001,56(3):307-315.
[7] 陈建平,丁火平,王功文,等.基于GIS和元胞自动机的荒漠化演化预测模型[J].遥感学报,2004,8(3):254-260. Chen J P,Ding H P,Wang G W,et al.Desertification evolution modeling through the integration of GIS and cellular automata[J].Journal of Remote Sensing, 2004,8(3):254-260.
[8] 张苑平,姜端午,黄树春.水蚀荒漠化遥感信息提取方法研究[J].国土资源遥感,2010,22(sl):18-20. Zhang Y P,Jiang D W,Huang S C.A study of the method for remote sensing information extraction of water erosion desertification[J].Remote Sensing for Land and Resources,2010,22(sl):18-20.
[9] 陈华,宋志宏,王永江.特殊地质地貌条件对水蚀型荒漠化的影响分析——以广西壮族自治区为例[J].国土资源遥感,2010,22(sl):169-173. Chen H,Song Z H,Wang Y J.An analysis of the effect of peculiar geological and geomorphologic conditions on water erosion desertification in Guangxi[J].Remote Sensing for Land and Resources,2010,22(sl):169-173.
[10] 童立强,李丽.三峡库区水蚀荒漠化遥感调查与监测[J].国土资源遥感,2012,24(1):100-103. Tong L Q,Li L.Remote sensing monitoring of water erosion desertification in the Three Gorges Area[J].Remote Sensing for Land and Resources,2012,24(1):100-103.
[11] 孟广涛,方向京,郎南军,等.云南省荒漠化土地现状及其防治对策[J].水土保持通报,2000,20(5):52-55. Meng G T,Fang X J,Lang N J,et al.Desertification states and its prevention countermeasures in Yunnan Province[J].Bulletin of Soil and Water Conservation,2000,20(5):52-55.
[12] 万晔,韩添丁,段昌群,等.云南水土流失态势、分区与区域特征研究[J].中国沙漠,2005,25(3):442-447. Wan Y,Han T D,Duan C Q,et al.Soil-water loss subareas and regional characteristics and development in Yunnan Province[J].Journal of Desert Research,2005,25(3):442-447.
[13] 孟广涛.云南省水土流失治理及水土保持效益研究[J].中国水土保持,2011(2):34-36. Meng G T.Research on soil erosion control and soil and water conservation benefits in Yunnan Province[J].Soil and Water Conservation in China,2011(2):34-36.
[1] 胡盈盈, 戴声佩, 罗红霞, 李海亮, 李茂芬, 郑倩, 禹萱, 李宁. 2001—2015年海南岛橡胶林物候时空变化特征分析[J]. 自然资源遥感, 2022, 34(1): 210-217.
[2] 魏浩翰, 许仁杰, 杨强, 周权平. 多源卫星测高数据监测太湖水位变化及影响分析[J]. 自然资源遥感, 2021, 33(3): 130-137.
[3] 张爱竹, 王伟, 郑雄伟, 姚延娟, 孙根云, 辛蕾, 王宁, 胡光. 一种基于分层策略的时空融合模型[J]. 自然资源遥感, 2021, 33(3): 18-26.
[4] 韦耿, 侯钰俏, 查勇. 新冠疫情影响下武汉市气溶胶类型变化分析[J]. 自然资源遥感, 2021, 33(3): 238-245.
[5] 韦耿, 侯钰俏, 韩佳媚, 查勇. 基于精细模式气溶胶与WRF模式估算PM2.5质量浓度[J]. 国土资源遥感, 2021, 33(2): 66-74.
[6] 陈宝林, 张斌才, 吴静, 李纯斌, 常秀红. 历史平均值法用于MODIS影像像元云补偿——以甘肃省为例[J]. 国土资源遥感, 2021, 33(2): 85-92.
[7] 孟清, 白红英, 赵婷, 郭少壮, 齐贵增. 秦岭山地对气溶胶的生态屏障效应[J]. 国土资源遥感, 2021, 33(1): 240-248.
[8] 杨欢, 邓帆, 张佳华, 王雪婷, 马庆晓, 许诺. 基于MODIS EVI的江汉平原油菜和冬小麦种植信息提取研究[J]. 国土资源遥感, 2020, 32(3): 208-215.
[9] 邓刚, 唐志光, 李朝奎, 陈浩, 彭焕华, 王晓茹. 基于MODIS时序数据的湖南省水稻种植面积提取及时空变化分析[J]. 国土资源遥感, 2020, 32(2): 177-185.
[10] 金楷仑, 郝璐. 基于遥感数据与SEBAL模型的江浙沪地区地表蒸散反演[J]. 国土资源遥感, 2020, 32(2): 204-212.
[11] 赵冰, 毛克彪, 蔡玉林, 孟祥金. 中国地表温度时空演变规律研究[J]. 国土资源遥感, 2020, 32(2): 233-240.
[12] 施益强, 邓秋琴, 吴君, 王坚. 厦门市MODIS气溶胶光学厚度与空气质量指数的回归分析[J]. 国土资源遥感, 2020, 32(1): 106-114.
[13] 程宇琪, 王雨晴, 孙静萍, 张成福. 多伦县草原植被覆盖与蒸散量时空变化及其关系[J]. 国土资源遥感, 2020, 32(1): 200-208.
[14] 吴林霖, 官云兰, 李嘉伟, 袁晨鑫, 李睿. 基于MODIS影像喀斯特石漠化状况研究——以贵州省为例[J]. 国土资源遥感, 2019, 31(4): 235-242.
[15] 李恺霖, 张春桂, 廖廓, 李丽纯, 王宏. 福建省空气清新度卫星遥感监测[J]. 国土资源遥感, 2019, 31(4): 151-158.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
版权所有 © 2015 《自然资源遥感》编辑部
地址:北京学院路31号中国国土资源航空物探遥感中心 邮编:100083
电话:010-62060291/62060292 E-mail:zrzyyg@163.com
本系统由北京玛格泰克科技发展有限公司设计开发