青海省河湟谷地地质灾害易发性评价

赵东亮; 兰措卓玛; 侯光良; 许长军; 李万志

doi:10.12090/j.issn.1006-6616.2021.27.01.009

青海省河湟谷地地质灾害易发性评价

doi: 10.12090/j.issn.1006-6616.2021.27.01.009

赵东亮^{1, 2,},
兰措卓玛^{1, 2, ,},
侯光良^{1, 2},
许长军^{3, 4},
李万志⁵

1.
青海师范大学地理科学学院, 青海西宁 810008
2.
高原科学与可持续发展研究院, 青海西宁 810008
3.
青海省地理空间信息技术与应用重点实验室, 青海西宁 810008
4.
青海省地理信息中心, 青海西宁 810008
5.
青海省气候中心, 青海西宁 810008

基金项目:

青海省地理空间信息技术与应用重点实验室基金 2019-002

详细信息

作者简介:
赵东亮(1995-), 男, 在读硕士, 主要从事灾害风险评价研究。E-mail: zdl19950604@163.com

通讯作者:
兰措卓玛(1980-), 女, 博士, 主要从事环境变化与人类活动、灾害风险评价研究。E-mail: lczm1980@163.com

中图分类号: X43;P694
计量
- 文章访问数: 1352
- HTML全文浏览量: 386
- PDF下载量: 79
- 被引次数: 0
出版历程
- 收稿日期: 2020-02-22
- 修回日期: 2020-04-03
- 刊出日期: 2021-02-28

Assessment of geological disaster susceptibility in the Hehuang Valley of Qinghai Province

ZHAO Dongliang^{1, 2
,},
LANCUO Zhuoma^{1, 2
, ,},
HOU Guangliang^{1, 2},
XU Changjun^{3, 4},
LI Wanzhi⁵

1.
School of Geographical Sciences, Qinghai Normal University, Xining 810008, Qinghai, China
2.
Academy of Plateau Science and Sustainability, Xining 810008, Qinghai, China
3.
Qinghai Provincial Key Laboratory of Geospatial Information Technology and Application, Xining 810008, Qinghai, China
4.
Geographic Information Center of Qinghai Province, Xining 810008, Qinghai, China
5.
Qinghai Climate Center, Xining 810008, Qinghai, China

摘要

摘要: 地处青藏高原东北缘的黄河与湟水谷地，由于剧烈的地质活动、较大高差与强烈水力作用等，使得地质灾害非常频繁，为明确该区域的地灾易发性区划，选取地貌、坡度、坡高、植被、岩性、降雨量和距断层、距河流、距道路等因子构建评价指标体系，采用信息量模型计算崩塌、滑坡、泥石流及其综合地质灾害易发性指数，将研究区地质灾害易发性划分为极高、高、中、低、极低五级易发区。结果表明：极高易发区主要位于河谷地区，占2.03%，包括贵德县、湟中县、乐都县的黄河及湟水等河流中下游地区；高易发区主要位于中小起伏山间盆地地区，占21.2%；中易发区主要位于中起伏山地地区，占23.45%，属于高、低易发区的过渡区域；低易发区主要位于大中起伏山地地区，占42.1%；极低易发区主要位于冷龙岭、拉脊山、西倾山等山地，占11.23%。研究结果对河湟谷地的防灾减灾及社会可持续发展意义重大。
- 地质灾害 /
- 易发性 /
- 河湟谷地 /
- 信息量模型 /
- 评价
Abstract: The Yellow River and Huangshui Valley, located at the northeast margin of the Qinghai-Tibet Plateau, are prone to geological disasters due to violent geological activities, large elevation difference and strong hydraulic power. In order to clarify the zoning of susceptibility of geological disasters in this area, an assessment index system is built by selecting factors such as geomorphology, slope, slope height, vegetation, lithology, rainfall, distance from faults, rivers and roads, using the information model to calculate the susceptibility index of collapse, landslide, debris flow and comprehensive geological disasters. The susceptibility of geological disasters in the study area can be divided into five grades: extremely high, high, medium, low and extremely low. The result shows that the extremely high susceptible areas are mainly in the valley areas, accounting for 2.03%, including the middle and lower reaches of the Yellow River and the Huangshui River in Guide county, Huangzhong county and Ledu county. The high susceptible areas are mainly in the areas on small and moderately undulating mountain basins, accounting for 21.2%. The medium susceptible area are mainly in the moderately undulating mountain areas, accounting for 23.45%, which belong to the transition areas of high and low susceptible areas. The low susceptible areas are mainly in moderately and sharply undulating mountain areas, accounting for 42.1%. The extremely low susceptible areas are mainly on the mountains such as the Lenglong mountain, Laji mountain and Xiqing mountain, accounting for 11.23%. The research result is of great significance to the disaster prevention and reduction in the Hehuang Valley and to the sustainable development of society.
- geological disasters /
- susceptibility /
- Hehuang Valley /
- information model /
- assessment
注释:

责任编辑：范二平

HTML全文

图 1 研究区灾害分布图

1—乐都县；2—民和县；3—平安县；4—化隆县；5—循化县；6—同仁县；7—尖扎县；8—贵德县；9—湟中县；10—湟源县；11—海晏县；12—大通县；13—门源县；14—互助县

Figure 1. Disaster distribution map of the study area

下载: 全尺寸图片幻灯片

图 2 河湟谷地地质灾害易发性评价因子图

Figure 2. Maps showing the factors in geological disaster susceptibility assessment in the Hehuang Valley

下载: 全尺寸图片幻灯片

图 3 河湟谷地不同类型灾害易发性评价结果

1—乐都县；2—民和县；3—平安县；4—化隆县；5—循化县；6—同仁县；7—尖扎县；8—贵德县；9—湟中县；10—湟源县；11—海晏县；12—大通县；13—门源县；14—互助县
a—崩塌易发性区划；b—滑坡易发性区划；c—泥石流易发性区划；d—地质灾害易发性综合区划

Figure 3. Assessment results of susceptibility to different types of disasters in the Hehuang Valley

下载: 全尺寸图片幻灯片

表 1 河湟谷地地质灾害类型统计

Table 1. Statistics of geological disaster types in the Hehuang Valley

类别	灾害点/处	百分比/%	隐患点/处	百分比/%
崩塌	153	12.2	4	4.1
滑坡	569	45.3	61	62.2
泥石流	535	42.6	33	33.7
合计	1257	100.0	98	100.0

下载: 导出CSV

表 2 2017年河湟谷地各县(市、区)地质灾害点、隐患点及威胁人数统计

Table 2. Statistics on the number of geological disaster sites, hidden dangers and people at risk in the Hehuang Valley(2017)

县(市)	崩塌隐患点/处	滑坡隐患点/处	泥石流隐患点/处	崩塌灾害点/处	滑坡灾害点/处	泥石流灾害点/处	崩塌威胁人数/人	滑坡威胁人数/人	泥石流威胁人数/人
西宁市	1	1	2	0	0	0	0	915	13322
大通县	0	14	6	14	31	50	0	3797	1079
湟中县	0	2	0	8	42	2	0	340	0
湟源县	1	0	5	15	2	7	103	0	1177
平安区	0	0	1	1	35	23	0	0	150
民和县	0	7	4	18	70	14	0	1504	3364
乐都县	0	8	7	31	142	176	0	1152	1260
互助县	0	0	0	24	53	21	0	0	0
化隆县	0	12	0	18	80	20	0	2491	0
循化县	0	4	9	0	44	5	0	1017	4550
门源县	0	0	0	11	4	71	0	0	0
海晏县	0	0	0	1	0	12	0	0	0
同仁县	1	5	2	1	27	11	100	3570	1173
尖扎县	0	8	0	8	15	25	0	2023	0
贵德县	1	0	1	3	24	98	2000	0	130
合计	4	61	37	153	569	535	2203	16809	26205

下载: 导出CSV

表 3 崩塌、滑坡、泥石流各影响因子权重及加权信息量

Table 3. Weight and weighted information of each influencing factor in collapse, landslide and debris flow

一级影响因子	二级影响因子	崩塌		滑坡		泥石流
一级影响因子	二级影响因子	权重	加权信息量	权重	加权信息量	权重	加权信息量
地貌	湖泊	0.072	0	0.105	0	0.169	0
	丘陵		0.0767		0		0
	台地		0.0550		-0.0149		0.2565
	平原		0.0046		-0.0003		0.0988
	山地		-0.0029		0.0015		-0.0552
高程/m	1658~2000	0.119	-0.1134	0.110	-0.0071	0.112	0.1716
	2000~2400		0.1207		0.1008		0.1568
	2400~2800		0.1170		0.1302		0.0671
	2800~3200		-0.0013		-0.0705		-0.0364
	3200~4200		-0.5145		-0.4425		-0.3032
	4200~5197		0		0		0
坡度/(°)	< 15	0.146	0.0401	0.143	0.0233	0.204	0.0857
	15~30		-0.0625		-0.0191		-0.1992
	30~45		-0.1753		-0.2481		-0.4152
	45~60		0		0		0
	> 60		0		0		0
坡高/m	< 100	0.097	0.0168	0.206	0.0419	0.148	0.0341
	100~200		-0.0843		-0.2268		-0.2242
	200~300		0.0094		0		-0.1845
	300~484		0		0		0
植被	针叶林	0.089	-0.0269	0.092	-0.0517	0.074	0.0319
	高山植被		0		0		0
	栽培植被		0.0140		-0.0237		0.1032
	阔叶林		0.0232		0.0291		-0.0369
	灌丛		-0.0506		-0.0629		-0.0490
	荒漠		0		0		0.0283
	草原		0.0788		0.0859		0.0415
	草甸		-0.1690		-0.1681		-0.0887
岩性	A	0.171	0	0.166	0	0.065	0
	B		0.3238		0		0.0358
	C		-0.2090		-0.5209		-0.0293
	D		0		-0.2068		0.0011
	E		-0.0091		-0.3902		-0.0430
	F		-0.2941		-0.4215		-0.0380
	G		-0.0176		-0.1529		-0.0678
	H		0		0		0
	I		0.0324		0.0911		0.0242
距构造断层距离/m	< 1000	0.019	-0.0148	0.016	-0.0082	0.011	-0.0063
	1000~2000		-0.0203		-0.0134		-0.0072
	2000~3000		-0.0073		-0.0141		-0.0023
	3000~4000		-0.0014		0.0015		-0.0007
	4000~5000		-0.0038		-0.0011		0.0024
	> 5000		0.0056		0.0043		0.0019
多年平均降雨量/mm	281~330	0.133	-0.0293	0.113	-0.1560	0.082	0.0085
	330~380		0.0312		-0.0324		0.0142
	380~430		0.0428		0.0939		0.0082
	430~480		-0.3913		0.0114		-0.0391
	480~520		-0.1471		-0.4196		-0.2894
	520~562		0		0		0
距河流距离/m	< 400	0.024	0.0148	0.014	-0.0091	0.023	0.0251
	400~800		0.0302		-0.0047		0.0326
	800~1200		0.0022		-0.0034		0.0323
	1200~1600		0.0157		-0.0045		0.0317
	1600~2000		0.0025		0.0095		0.0251
	2000~2500		-0.0026		0.0012		0.0047
	> 2500		-0.0029		0.0001		-0.0097
距主线道路距离/m	< 500	0.066	0.1161	0.001	0.0001	0.032	0.0448
	500~1000		0.0564		0.0002		0.0384
	1000~1500		0.0486		0		0.0166
	1500~2000		-0.0295		-0.0001		0.0175
	> 2000		-0.0211		0		-0.0095
距支线道路距离/m	< 500	0.063	0.0688	0.033	0.0272	0.081	0.1025
	500~1000		0.0055		0.0239		0.0302
	> 1000		-0.0272		-0.0150		-0.0556
注：岩性中A—变质砂岩、砾岩岩组；B—松散堆积物岩组；C—中厚层砂岩、板岩、夹砂岩岩组；D—厚层砾岩、砂砾岩岩组；E—千枚岩、板岩、薄层灰岩岩组；F—火山碎屑岩岩组；G—大理岩、石英岩、片麻岩岩组；H—变质安山岩、凝灰岩岩组；I—粉砂岩、泥岩、薄层砂砾岩岩组

下载: 导出CSV

表 4 崩塌、滑坡、泥石流易发性区划统计

Table 4. Zoning statistics of susceptibility to collapse, landslide and debris flow

灾种	极低易发区面积/km²(占比/%)	低易发区面积/km²(占比/%)	中易发区面积/km²(占比/%)	高易发区面积/km²(占比/%)	极高易发区面积/km²(占比/%)
崩塌	3506.95(8.99)	15927.88(40.85)	8839.18(22.67)	10121.09(25.96)	598.77(1.54)
滑坡	4339.59(11.13)	13684.30(35.09)	8790.36(22.54)	7089.72(18.18)	5089.87(13.05)
泥石流	6799.61(17.44)	13963.32(35.81)	13140.59(33.70)	4442.46(11.39)	647.87(1.66)

下载: 导出CSV

表 5 河湟谷地地质灾害综合易发性区划统计

Table 5. Comprehensive susceptibility zoning statistics of geological disasters in the Hehuang Valley

易发性区划	灾害点/ 处	灾点占比/%	面积/km²	面积占比/%	灾点密度/处/km²
极低易发区	0	0.00	4378.83	11.23	0.000
低易发区	76	4.91	16413.8	42.10	0.005
中易发区	467	30.17	9144.4	23.45	0.051
高易发区	888	57.36	8264.61	21.20	0.107
极高易发区	117	7.56	790.58	2.03	0.148

下载: 导出CSV

参考文献(84)

CHENG W M, ZHOU C H, CHAI H X, et al. , 2009. Quantitative extraction and analysis of basic morphological types of land geomorphology in China[J]. Journal of Geo-Information Science, 11(6): 725-736. (in Chinese with English abstract) http://www.cnki.com.cn/Article/CJFDTotal-DQXX200906009.htm

CUI P, SU F H, ZOU Q, et al. , 2015. Risk assessment and disaster reduction strategies for mountainous and meteorological hazards in Tibetan Plateau[J]. Chinese Science Bulletin, 60(32): 3067-3077. (in Chinese with English abstract) doi: 10.1360/N972015-00849

DAI F C, LEE C F, LI J, et al. , 2001. Assessment of landslide susceptibility on the natural terrain of Lantau island, Hong Kong[J]. Environmental Geology, 40(3): 381-391. doi: 10.1007/s002540000163

DENG Y, ZHOU T G, JIANG W G, 2016. Assessment of geological disaster hazard and potential impact in Dujiangyan City[J]. Journal of Catastrophology, 31(2): 196-199, 212. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZHXU201602039.htm

DONG Z P, YAO Z S, LEI F, 1992. Active faults and modern tectonic stress field in the region of eastern Qinghai[J]. Crustal Deformation and Earthquake, 12(4): 64-71. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-DKXB199204009.htm

FAN L F, HU R L, ZENG F C, et al. , 2012. Application of weighted information value model to landslide susceptibility assessment: a case study of Enshi City, Hubei Province[J]. Journal of Engineering Geology, 20(4): 508-513. (in Chinese with English abstract) http://d.wanfangdata.com.cn/Periodical/gcdzxb201204005

GE Q S, ZOU M, ZHENG J Y, et al. , 2008. Integrated assessment of natural disaster risks in China[M]. Beijing: Science Press: 62-65. (in Chinese with English abstract)

GUO B M, QUAN K X, 2019. ArcGIS-based disaster risk assessment of Longwu River basin in Qinghai Province[J]. Geology and Resources, 28(3): 289-292. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTotal-GJSD201903011.htm

HUANG R Q, LI Y G, 1991. Numerical simulation of bank slope deformation and failure mechanism of horizontal strata in three gorges reservior area[J]. Geological Hazards and Environment Preservation, 2(2): 23-31. (in Chinese)

HUANG R Q, XU X N, TANG C, et al. , 2008. Geological environment assessment and geological hazards management[M]. Beijing: Science Press: 151-179. (in Chinese)

JIA G Y, QUAN Y Q, LI Z H, et al. , 2014. Geo-hazards assessment for the Gansu segment in Bailongjiang River basin by using combination weighting method[J]. Journal of Glaciology and Geocryology, 36(5): 1227-1236. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-BCDT201405021.htm

JIA X, LEE H F, CUI M C, et al. , 2019. Differentiations of geographic distribution and subsistence strategies between Tibetan and other major ethnic groups are determined by the physical environment in Hehuang Valley[J]. Science China Earth Sciences, 62(2): 412-422. doi: 10.1007/s11430-018-9301-5

KOU L N, BIAN J, ZHANG T T, et al. , 2017. The application of GIS-based information method in susceptibility evaluation of regional geological hazards in Minhe County, Qinghai Province[J]. Northwestern Geology, 50(2): 244-248. (in Chinese with English abstract) http://www.zhangqiaokeyan.com/academic-journal-cn_northwestern-geology_thesis/0201254324483.html

LI L P, LAN H X, GUO C B, et al. , 2017. Geohazard susceptibility assessment along the Sichuan-Tibet railway and its adjacent area using an improved frequency ratio method[J]. Geoscience, 31(5): 911-929. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-XDDZ201705004.htm

LI Z S, 2003. The state of the art of the research on seismic landslide hazard at home and abroad[J]. Journal of Catastrophology, 18(4): 64-70. (in Chinese with English abstract)

LIAO L P, YU M, WEN H T, et al. , 2019. Evaluation on the susceptibility of collapse and landslide in Rongxian County, Southeastern Guangxi[J]. Earth and Environment, 47(4): 518-526. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTotal-DZDQ201904014.htm

LIU C Z, LIU Y H, WEN M S, et al. , 2007. Research on the geo-hazards genesis and assessment in the Three Gorges reservoir of Changjiang River in China[M]. Beijing: Geological Publishing House. (in Chinese with English abstract)

LIU X, 2014. Study on risk assessment of debris flow in Ashigong Gui De County, Qinghai Province[D]. Beijing: China University of Geosciences(Beijing). (in Chinese with English abstract)

LIU Y, TANG C, FENG Y, 2013. Geological disaster risk assessment based on AHP information method[J]. Earth and Environment, 41(2): 173-179. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-DZDQ201302014.htm

NI X J, NAN Y, 2014. Comprehensive assessment of geological disasters risk in Changbai Mountain region based on GIS[J]. Journal of Natural Disasters, 23(1): 112-120. (in Chinese with English abstract) http://www.researchgate.net/publication/286990491_Comprehensive_assessment_of_geological_disasters_risk_in_Changbai_Mountain_region_based_on_GIS

Qinghai Provincial Bureau of Statistics, 2016. Qinghai statistical yearbook in 2016[M]. Beijing: China Statistical Publishing House. (in Chinese with English abstract)

RUAN S Y, HUANG R Q, 2001. Application of GIS-based information model on assessment of geological hazards risk[J]. Journal of Chengdu University of Technology, 28(1): 89-92. (in Chinese with English abstract) http://www.researchgate.net/publication/295791575_Application_of_Gis-based_information_model_on_assesment_of_geological_hazards_risk

SHEN L, YAO J H, 1995. Industrial development and layout of Hehuang Valley in eastern Qinghai[J]. Economic Geography, 15(3): 66-72. (in Chinese)

SUN W F, TAN C X, WANG J M, et al. , 2008. Geohazard susceptibility evaluation of Qianyang County, Baoji area, Shaanxi, China[J]. Geological Bulletin of China, 27(11): 1846-1853. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZQYD200811015.htm

SUN Y P, ZHANG S P, CHEN W K, et al. , 2018. Risk Assessment of Landslides Caused by Wenchuan Earthquakes: A Case Study in the Wudu District and Wenxian County, Gansu Province[J]. China Earthquake Engineering Journal, 40(5): 1084-1091. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTotal-ZBDZ201805032.htm

TAN S C, ZHAO X Y, LI Y P, et al. , 2018. Risk assessment on the geological disasters based on GIS and information content model: Taking Qiubei County, Yunnan Province as an example[J]. Journal of Northwest Normal University (Natural Science), 54(1): 67-76. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-XBSF201801012.htm

TANG C, MA G C, 2015. Small regional geohazards susceptibility mapping based on geomorphic unit[J]. Scientia Geographica Sinica, 35(1): 91-98. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-DLKX201501011.htm

WANG C M, HUANG J, LI Q, et al. , 2019. Evaluation of geological hazard vulnerability in Lyuliang City in Shanxi Province based on coupling of information content model and Logistic regression model[J]. Water Resources and Hydropower Engineering, 50(3): 132-138. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTotal-SJWJ201903018.htm

WANG N T, PENG K, LI Q H, et al. , 2012. Quantitative evaluation of geological disaster liability based on RS & GIS analysis: a case study of Wufeng County, Hubei Province[J]. Earth Science Frontiers, 19(6): 221-229. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-DXQY201206028.htm

WANG T, 2010. Study on seismic landslide hazard assessment in Wenchuan earthquake severely afflicted area[D]. Beijing: Chinese Academy of Geological Sciences. (in Chinese)

WEI G, YIN Z Q, SHI L Q, et al. , 2013. Zoning of geological disasters of Hualong County in Qinghai Province[J]. The Chinese Journal of Geological Hazard and Control, 24(1): 86-92. (in Chinese with English abstract)

WEI Z J, MA H L, TANG D L, 2017. Trend assessment of typhoon disasters based on the improved entropy method[J]. Journal of Catastrophology, 32(3): 7-11. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZHXU201703002.htm

WU B, ZHAO F S, DUAN Z, et al. , 2018. Application of attribute recognition model based on coefficient of entropy to hazard degree evaluation of soil landslide in Shaanxi[J]. Journal of Catastrophology, 33(1): 140-145. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZHXU201801025.htm

XIONG C L, CHEN L, WEI C L, et al. , 2012. Main geohazard types in Longling segment of the Dali-Ruili railway, western Yunnan and their development characteristics[J]. Geological Bulletin of China, 31(2-3): 396-405. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZQYD2012Z1024.htm

XU Y, 2013. The geological hazards sensitivity assessment based on GIS in Huzhu County[D]. Beijing: China University of Geosciences(Beijing). (in Chinese)

YANG Z H, ZHANG Y S, GUO C B, et al. , 2018. Sensitivity analysis on causative factors of geohazards in eastern margin of Tibetan plateau[J]. Journal of Engineering Geology, 26(3): 673-683. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-GCDZ201803014.htm

YE J, 2011. Fuzzy cross entropy of interval-valued intuitionistic fuzzy sets and its optimal decision-making method based on the weights of alternatives[J]. Expert Systems with Applications, 38(5): 6179-6183. doi: 10.1016/j.eswa.2010.11.052

YUAN X Q, ZHAO F S, CHEN X J, et al. , 2017. Zoning of geological hazards' susceptibility evaluation in Suide County of Shaanxi Province[J]. Journal of Catastrophology, 32(1): 117-120, 125. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZHXU201701021.htm

ZENG L K, XU M, FANG Q, et al. , 2010. Vegetation and development of geological hazards[J]. Journal of Geological Hazards and Environment Preservation, 21(3): 97-100. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-DZHB201003020.htm

ZHANG C S, HAN J L, SUN W F, et al. , 2008. Assessments of geohazard danger zoning in Longxian County, Shaanxi, China[J]. Geological Bulletin of China, 27(11): 1795-1801. (in Chinese with English abstract) http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZQYD200811009.htm

ZHANG X Y, ZHANG C S, MENG H J, et al. , 2018. Landslide susceptibility assessment of new Jing-Zhang high-speed railway based on GIS and information value model[J]. Journal of Geomechanics, 24(1): 96-105. (in Chinese with English abstract) http://d.wanfangdata.com.cn/periodical/dzlxxb201801011

ZHANG Z X, 2004. Geography of Qinghai[M]. Xining: Qinghai People's Publishing House: 62-210. (in Chinese)

ZHOU J J, ZHANG X M, ZHAO F S, et al. , 2019. Research on risk assessment of geological hazards in Qinling-Daba mountain area, south Shaanxi Province[J]. Journal of Geomechanics, 25(4): 544-553. (in Chinese with English abstract)

程维明, 周成虎, 柴慧霞, 等, 2009. 中国陆地地貌基本形态类型定量提取与分析[J]. 地球信息科学学报, 11(6): 725-736. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXX200906009.htm

崔鹏, 苏凤环, 邹强, 等, 2015. 青藏高原山地灾害和气象灾害风险评估与减灾对策[J]. 科学通报, 60(32): 3067-3077. https://www.cnki.com.cn/Article/CJFDTOTAL-KXTB201532007.htm

邓越, 周廷刚, 蒋卫国, 2016. 都江堰市地质灾害危险性及潜在影响评估[J]. 灾害学, 31(2): 196-199, 212. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHXU201602039.htm

董治平, 姚政生, 雷芳, 1992. 青海东部活断层与现代构造应力场[J]. 地壳形变与地震, 12(4): 64-71. https://www.cnki.com.cn/Article/CJFDTOTAL-DKXB199204009.htm

范林峰, 胡瑞林, 曾逢春, 等, 2012. 加权信息量模型在滑坡易发性评价中的应用: 以湖北省恩施市为例[J]. 工程地质学报, 20(4): 508-513. https://www.cnki.com.cn/Article/CJFDTOTAL-GCDZ201204005.htm

葛全胜, 邹铭, 郑景云, 等, 2008. 中国自然灾害风险综合评估初步研究[M]. 北京: 科学出版社: 62-65.

郭邦梅, 权开兄, 2019. 基于ArcGIS的青海隆务河流域灾害风险性评价[J]. 地质与资源, 28(3): 289-292. https://www.cnki.com.cn/Article/CJFDTOTAL-GJSD201903011.htm

黄润秋, 李曰国, 1991. 三峡库区水平岩层岸坡变形破坏机制的数值模拟研究[J]. 地质灾害与环境保护, 2(2): 23-31. https://www.cnki.com.cn/Article/CJFDTOTAL-DZHB199102004.htm

黄润秋, 许向宁, 唐川, 等, 2008. 地质环境评价与地质灾害管理[M]. 北京: 科学出版社: 151-179.

贾贵义, 全永庆, 黎志恒, 等, 2014. 基于组合赋权法的白龙江流域甘肃段地质灾害危险性评价[J]. 冰川冻土, 36(5): 1227-1236. https://www.cnki.com.cn/Article/CJFDTOTAL-BCDT201405021.htm

贾鑫, 李峯, 崔梦淳, 等, 2019. 河湟谷地藏族和其他主要民族分布的地理环境特征及其生产方式差异[J]. 中国科学: 地球科学, 49(4): 706-716. https://www.cnki.com.cn/Article/CJFDTOTAL-JDXK201904006.htm

寇丽娜, 边疆, 张婷婷, 等, 2017. 基于GIS的信息量法在青海民和区域地质灾害易发性评价中的应用[J]. 西北地质, 50(2): 244-248. https://www.cnki.com.cn/Article/CJFDTOTAL-XBDI201702026.htm

李郎平, 兰恒星, 郭长宝, 等, 2017. 基于改进频率比法的川藏铁路沿线及邻区地质灾害易发性分区评价[J]. 现代地质, 31(5): 911-929. https://www.cnki.com.cn/Article/CJFDTOTAL-XDDZ201705004.htm

李忠生, 2003. 国内外地震滑坡灾害研究综述[J]. 灾害学, 18(4): 64-70. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHXU200304013.htm

廖丽萍, 于淼, 文海涛, 等, 2019. 广西东南部容县崩塌滑坡的易发性评价[J]. 地球与环境, 47(4): 518-526. https://www.cnki.com.cn/Article/CJFDTOTAL-DZDQ201904014.htm

刘传正, 刘艳辉, 温铭生, 等, 2007. 长江三峡库区地质灾害成因与评价研究[M]. 北京: 地质出版社.

刘玄, 2014. 青海省贵德县阿什贡泥石流群风险性评价[D]. 北京: 中国地质大学(北京).

刘洋, 唐川, 冯毅, 2013. 基于AHP-信息量法的地质灾害危险性评价[J]. 地球与环境, 41(2): 173-179. https://www.cnki.com.cn/Article/CJFDTOTAL-DZDQ201302014.htm

倪晓娇, 南颖, 2014. 基于GIS的长白山地区地质灾害风险综合评估[J]. 自然灾害学报, 23(1): 112-120. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH201401019.htm

青海省统计局, 2016. 青海统计年鉴2016[M]. 北京: 中国统计出版社.

阮沈勇, 黄润秋, 2001. 基于GIS的信息量法模型在地质灾害危险性区划中的应用[J]. 成都理工学院学报, 28(1): 89-92. https://www.cnki.com.cn/Article/CJFDTOTAL-CDLG200101017.htm

沈镭, 姚建华, 1995. 青海东部河湟谷地工业发展与布局[J]. 经济地理, 15(3): 66-72. https://www.cnki.com.cn/Article/CJFDTOTAL-JJDL503.013.htm

孙炜锋, 谭成轩, 王继明, 等, 2008. 陕西宝鸡地区千阳县地质灾害易发性评价[J]. 地质通报, 27(11): 1846-1853. https://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD200811015.htm

孙艳萍, 张苏平, 陈文凯, 等, 2018. 汶川地震滑坡危险性评价: 以武都区和文县为例[J]. 地震工程学报, 40(5): 1084-1091. https://www.cnki.com.cn/Article/CJFDTOTAL-ZBDZ201805032.htm

谈树成, 赵晓燕, 李永平, 等, 2018. 基于GIS与信息量模型的地质灾害危险性评价: 以云南省丘北县为例[J]. 西北师范大学学报(自然科学版), 54(1): 67-76. https://www.cnki.com.cn/Article/CJFDTOTAL-XBSF201801012.htm

唐川, 马国超, 2015. 基于地貌单元的小区域地质灾害易发性分区方法研究[J]. 地理科学, 35(1): 91-98. https://www.cnki.com.cn/Article/CJFDTOTAL-DLKX201501011.htm

王昌明, 黄健, 李桥, 等, 2019. 基于信息量模型与Logistic回归模型耦合的山西吕梁市地质灾害易发性评价研究[J]. 水利水电技术, 50(3): 132-138. https://www.cnki.com.cn/Article/CJFDTOTAL-SJWJ201903018.htm

王宁涛, 彭轲, 黎清华, 等, 2012. 基于RS和GIS的地质灾害易发性定量评价: 以湖北省五峰县为例[J]. 地学前缘, 19(6): 221-229. https://www.cnki.com.cn/Article/CJFDTOTAL-DXQY201206028.htm

王涛, 2010. 汶川地震重灾区地质灾害危险性评估研究[D]. 北京: 中国地质科学院.

魏刚, 殷志强, 史立群, 等, 2013. 青海化隆县地质灾害易发性区划[J]. 中国地质灾害与防治学报, 24(1): 86-92. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGDH201301019.htm

魏章进, 马华铃, 唐丹玲, 2017. 基于改进熵值法的台风灾害风险趋势评估[J]. 灾害学, 32(3): 7-11. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHXU201703002.htm

吴博, 赵法锁, 段钊, 等, 2018. 基于熵权的属性识别模型在陕西土质滑坡危险度评价中的应用[J]. 灾害学, 33(1): 140-145. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHXU201801025.htm

熊昌利, 陈亮, 魏昌利, 等, 2012. 滇西大理至瑞丽铁路龙陵段主要的地质灾害类型及其发育规律[J]. 地质通报, 31(2-3): 396-405. https://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD2012Z1024.htm

徐媛, 2013. 基于GIS的互助县地质灾害易发性评价研究[D]. 北京: 中国地质大学(北京).

杨志华, 张永双, 郭长宝, 等, 2018. 青藏高原东缘地质灾害影响因子敏感性分析[J]. 工程地质学报, 26(3): 673-683. https://www.cnki.com.cn/Article/CJFDTOTAL-GCDZ201803014.htm

袁湘秦, 赵法锁, 陈新建, 等, 2017. 陕西省绥德县地质灾害易发性区划[J]. 灾害学, 32(1): 117-120, 125. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHXU201701021.htm

曾令科, 许模, 方琼, 等, 2010. 植被与地质灾害发育分布关系初探[J]. 地质灾害与环境保护, 21(3): 97-100. https://www.cnki.com.cn/Article/CJFDTOTAL-DZHB201003020.htm

张春山, 韩金良, 孙炜锋, 等, 2008. 陕西陇县地质灾害危险性分区评价[J]. 地质通报, 27(11): 1795-1801. https://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD200811009.htm

张向营, 张春山, 孟华君, 等, 2018. 基于GIS和信息量模型的京张高铁滑坡易发性评价[J]. 地质力学学报, 24(1): 96-105. https://journal.geomech.ac.cn/ch/reader/view_abstract.aspx?flag=1&file_no=20180111&journal_id=dzlxxb

张忠孝, 2004. 青海地理[M]. 西宁: 青海人民出版社: 62-210.

周静静, 张晓敏, 赵法锁, 等, 2019. 陕南秦巴山区地质灾害危险性评价研究[J]. 地质力学学报, 25(4): 544-553. https://journal.geomech.ac.cn/ch/reader/view_abstract.aspx?flag=1&file_no=20190412&journal_id=dzlxxb

被引

资源附件(0)

访问统计