GIS-assisted Drawing Landslide Zonation Map——A Case Study of Panzhihua City Sichuan Province

doi:10.13474/j.cnki.11-2246.2015.0039

Abstract

CLC Number:

P208

WANG Xina, HUANG Huabing, BAN Ya, LI Jie. GIS-assisted Drawing Landslide Zonation Map——A Case Study of Panzhihua City Sichuan Province[J]. 测绘通报, 2015, 0(2): 46-50.

[1] 赵宝云, 胡艳香,赵忠营,等. 降雨诱发公路滑坡灾害危险性评价动态权重系统[J]. 地球与环境, 2011,39(3): 376-381.
[2] 肖拥军,高华喜. 库区移民新城滑坡灾害危险性区划研究[J]. 地球与环境, 2011,39(3): 388-392.
[3] 童祥. 基于ANP的铁路隧道塌方风险评价研究[J].隧道地下工程,2011(7):74-77.
[4] 孟令超,卢晓仓,史晨晓,等. 基于信息量模型的达曲库区滑坡危险性分析[J]. 灾害学, 2009,24(4):31-34.
[5] 朱良峰,吴信才,殷坤龙,等. 基于信息量模型的中国滑坡灾害风险区划研究[J]. 地球科学与环境学报, 2004. 26(3): 52-56.
[6] 黄俊宝. 基于GIS的地质灾害危险性模糊数学评判[J]. 福建地质, 2009, 28(4): 346-351.
[7] 刘艺梁, 殷坤龙,刘斌. 逻辑回归和人工神经网络模型在滑坡灾害空间预测中的应用[J]. 水文地质工程地质, 2010, 37(5): 92-96.
[8] 王卫东,陈燕平,钟晟. 应用CF和Logistic回归模型编制滑坡危险性区划图[J]. 中南大学学报:自然科学版, 2009,40(4):1127-1132.
[9] 石菊松,张永双,董诚,等. 基于GIS技术的巴东新城区滑坡灾害危险性区划[J]. 地球学报, 2005,26(3):275-282.
[10] 殷坤龙,张桂荣,陈丽霞,等.滑坡灾害风险分析[M].北京:科学出版社,2010: 30,86-88.
[11] 牛全福. 基于GIS的地质灾害风险评估方法研究[D]. 兰州: 兰州大学,2011.
[12] 刑秋菊,赵纯勇,高克昌,等.基于GIS的滑坡危险性逻辑回归评价研究[J].地理与地理信息科学,2004,20(3):49-51.
[13] 夏瑞庚,朱元友,李新平.基于神经网络的岩质边坡稳定性评估系统研究[J]. 自然灾害学报, 1996(1): 98-104.
[14] 范金城,梅长林.数据分析[M].北京:科学出版社,2002.
[15] 刘斌, 殷坤龙,刘艺梁. 基于栅格数据的巴东新城区滑坡空间预测[J]. 地质科技情报, 2010, 29(3): 133-138.

GIS-assisted Drawing Landslide Zonation Map——A Case Study of Panzhihua City Sichuan Province

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	GE Pengfei, LIU Hui, CHEN Mi, LI Yu, DING Ruili, LIU Fei. Monitoring land subsidence of Hebei section of Beijing-Xiong'an intercity railway by time-series InSAR [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 64-70.
[2]	Lü Zheng, SUN Qun, WEN Bowei, MA Jingzhen. A self-global-best-fit road network Stroke generation method [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 93-99.
[3]	ZHONG Qikang, WANG Zhiyi, WANG Na, XI Furui. Spatial differentiation characteristics and driving factors of landscape ecological risk in arid area of northern Shaanxi [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 100-106.
[4]	QIANG Dexia, MA Haizheng, ZHU Ziping, GOU Yanmei. Spatial distribution and analysis of debris flow in Jishishan county of Gansu province [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 107-111,117.
[5]	HAN Wenli, ZHANG Jixian, CHEN Haipeng, HUANG Haiying, ZHANG Libo, GE Juan, SHEN Jing, LU Yao. Discussion on quality inspection technology for new fundamental surveying and mapping [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 148-153.
[6]	TAO XiaoJing. Security protection technology and verification analysis of geographic information data based on TEA algorithm [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 154-157,167.
[7]	CAI Roudan. An intelligent identification method of user identity based on asynchronous trajectory [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 158-162,167.
[8]	ZHOU Ye, LIU Yunbo, ZHENG Libo, LONG Yangjun. Precision analysis of single tree parameter extraction for multi-platform point cloud data [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 168-172.
[9]	HE Yuqi, ZENG Yixiao, CHEN Guang, CHEN Liangchao. Research on the early warning and simulation of land space planning in mountainous city from the perspective of new surveying and mapping [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 11-15.
[10]	LUO Guowei, YE Jiayuan, WANG Jinfeng. Multi-source POI matching method based on multi-feature similarity [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 96-100.
[11]	YAN Mingtao, QIAO Jiajun, QU Meng, ZHU Qiankun, HAN Dong. Measurement of coupling and coordination of socio-economic and ecological environment in rural villages of the Yellow River basin and analysis of influencing factors [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 101-105,116.
[12]	ZHANG Puwei, FU Liang, WANG Guohua, LU Yannan, ZHAO Haiyun. Analysis of the site selection evaluation system for rural leisure and pension projects [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 106-110.
[13]	HUANG He, MENG Weiming. Lane recognition of large radius circular curve based on vision [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 134-137.
[14]	ZHANG Dingxiang, WANG Xiulian, LIU Shunxi, ZHANG Jia, CHEN Qiang, LI Shijiang. Vector rasterization method of national land use data in the third national land survey [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 138-144.
[15]	ZENG Yuanwu, SHI Jingwen, LUO Hongming, CHENG Yingxuan. Research on construction of supervision information system for territorial spatial planning implementation involving provincial, prefectural and county levels:taking Guangdong province as an example [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 145-148.