The mountain watersheds of Kaidu River and Urumqi River, which separately originate from the south and north-side of the Tianshan Mountains in Xinjiang, are selected as the study area. The characteristics and trends o...The mountain watersheds of Kaidu River and Urumqi River, which separately originate from the south and north-side of the Tianshan Mountains in Xinjiang, are selected as the study area. The characteristics and trends on variation of temperature, precipitation and runoff, and the correlativity between temperature, precipitation, and runoffwere analyzed based on the past 40 years of observational data from the correlative hydrological and weather stations in the study areas. Various weather scene combinations are assumed and the response models of runoff to climate change are established in order to evaluate the sensitivity of runoff to climate change in the study areas based on the foregoing analysis, Results show that all variations of temperature, precipitation, and runoff overall present an oscillating and increasing trend since the 1960s and this increase are quite evident after 1990. There is a markedly positive correlation between mountain runoff, temperature, and precipitation while there are obvious regional differences of responding degree to precipitation and temperature between mountain runoff of Ummqi River and Kaidu River Basins Also, mountain runoff of Urumqi River Basin is more sensitive to precipitation change than that of Kaidu River Basin, and mountain runoff of Kaidu River Basin is more sensitive to temperature change than that of Ummqi River Basin.展开更多
基金supported by the funding of the Key Laboratory of Eco-hydrology Open FundChinese Academy of Sciences and Knowledge Innovation Program of the Chinese Academy of Sciences, No.KZCX2-YW-328
文摘The mountain watersheds of Kaidu River and Urumqi River, which separately originate from the south and north-side of the Tianshan Mountains in Xinjiang, are selected as the study area. The characteristics and trends on variation of temperature, precipitation and runoff, and the correlativity between temperature, precipitation, and runoffwere analyzed based on the past 40 years of observational data from the correlative hydrological and weather stations in the study areas. Various weather scene combinations are assumed and the response models of runoff to climate change are established in order to evaluate the sensitivity of runoff to climate change in the study areas based on the foregoing analysis, Results show that all variations of temperature, precipitation, and runoff overall present an oscillating and increasing trend since the 1960s and this increase are quite evident after 1990. There is a markedly positive correlation between mountain runoff, temperature, and precipitation while there are obvious regional differences of responding degree to precipitation and temperature between mountain runoff of Ummqi River and Kaidu River Basins Also, mountain runoff of Urumqi River Basin is more sensitive to precipitation change than that of Kaidu River Basin, and mountain runoff of Kaidu River Basin is more sensitive to temperature change than that of Ummqi River Basin.
文摘为了评估高寒地区不同土地利用方式下的土壤质量状况,明确不同土地利用方式下的土壤质量的关键影响因子,在祁连山南坡采集了林地、灌丛、草地及耕地4种主要土地利用类型的土壤样品174份,通过主成分分析(Principal component analysis,PCA)建立最小数据集(Minimum data set,MDS),综合评估研究区不同土地利用方式下的土壤质量。结果表明:林地、灌丛、草地和耕地土壤质量指数值分别为0.535,0.519,0.466和0.544,表现为耕地>林地>灌丛>草地,对土壤质量分级为Ⅰ~Ⅵ级,对应指数分别为≤0.3,(0.3~0.4],(0.4~0.5],(0.5~0.6],(0.6,0.7]和>0.7,草地等级为Ⅲ级,处于“中等”水平;耕地、林地和灌丛土壤质量等级为Ⅳ级,处于“中等偏上”水平。土壤质量关键指标间存在互相影响,因此,建议研究区域土地要实施分类科学管理。此外,合理开发和应用绿色高效的新型生物技术是应对影响研究区土壤质量的微生物指标的有效措施。
