青海省河湟谷地地质灾害易发性评价

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。 

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

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.