Precipitation-runoff processes in Shimen hillslope micro-catchment of Taihang Mountain, north China

2011 ◽  
Vol 26 (9) ◽  
pp. 1332-1341 ◽  
Author(s):  
Shumin Han ◽  
Yonghui Yang ◽  
Tong Fan ◽  
Dengpan Xiao ◽  
Juana Paul Moiwo
Keyword(s):  
PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e91589 ◽  
Author(s):  
Huitao Shen ◽  
Jiansheng Cao ◽  
Wanjun Zhang ◽  
Xinhua Zeng ◽  
Huaru Wang

2012 ◽  
Vol 49 ◽  
pp. 193-200 ◽  
Author(s):  
Xiuping Liu ◽  
Wanjun Zhang ◽  
Fan Yang ◽  
Xia Zhou ◽  
Zhijun Liu ◽  
...  

2021 ◽  
Vol 13 (2) ◽  
pp. 856
Author(s):  
Tonggang Fu ◽  
Hongzhu Liang ◽  
Hui Gao ◽  
Jintong Liu

The Earth’s climate has warmed by approximately 0.6 °C over the last century, but temperature change in the Taihang Mountain region—an important transition zone in North China which functions as an ecological barrier for Beijing, Tianjin, and other big cities—is still unknown. In this study, we analyze the spatial and temporal trends in the average annual and seasonal surface air temperature in the Taihang Mountain region from 1968 to 2017. The effect of elevation, longitude, latitude, percent forestland, percent farmland, and gross domestic product (GDP) on temperature was also determined. Our results show that the Taihang Mountain has warmed by 0.3 °C/decade over the past five decades. Partitioned seasonally, average warming was 0.38, 0.14, 0.21, and 0.47 °C/decade in spring, summer, fall, and winter, respectively. Elevation and latitude were significantly negatively correlated with temperature but had no correlation with the temporal warming trend (i.e., the Z value from a Mann–Kendall test). The Z value was significantly negatively correlated with percent forestland and positively correlated with GDP, indicating that economic development has induced warming, but afforestation may reduce the rate of warming increase. Together, our results provide important insights into the rates and drivers of climate change within mountainous regions.


2011 ◽  
Vol 356-360 ◽  
pp. 2320-2324
Author(s):  
Rui Gang Zhang

The groundwater table depths from 1982 to 1986 of 58 unconfined wells in North China Plain(NCP) were analyzed using principal component analysis method. Results showed there were mainly three hydrograph patterns over the area: increasing trend with steady moderate seasonal fluctuations in Taihang Mountain piedmont area; decreasing trend with large seasonal fluctuation magnitudes in central plain of NCP; increasing-decreasing trend with large variance of fluctuation magnitude in piedmont of Yan Mountain piedmont.The distribution of precipitation, irrigating abstraction, and water table depths were the main factors determining the hydrograph patterns and their distribution.


2019 ◽  
Vol 157 (7) ◽  
pp. 1097-1111 ◽  
Author(s):  
Lin Wu ◽  
Fei Wang ◽  
Jinhui Yang ◽  
Yinzhi Wang ◽  
Weibin Zhang ◽  
...  

AbstractThe Taihangshan Mountain Belt, in the central North China Craton, represents an important crustal and tectonic boundary. To explore the complex tectonic evolution of this area during the Mesozoic–Cenozoic, we gathered zircon and apatite (U–Th)/He thermochronology data along a vertical transect (elevation of 630−1584 m) of the northern part of the Taihang Mountain Belt. From our data, we observed three separate rapid cooling phases that occurred at 100 Ma, 50−40 Ma and 27 Ma. Combined with previously published geochronological ages, we suggest that the uplift of the Taihang Mountain Belt initiated during the Jurassic and experienced multiphase rapid uplift from the Cretaceous to the Cenozoic. The early Cretaceous rapid cooling/uplifting events are widespread in the North China Craton and are caused by the collision between the Okhotomorsk Block and the East Asian continental margin. The Eocene and Oligocene rapid cooling events correspond to the initial rifting and thermal subsidence of the Bohai Bay Basin, indicating a coupling between the creation of basins and mountains.


2010 ◽  
Vol 84 (1) ◽  
pp. 230-239 ◽  
Author(s):  
Zhonghai WU ◽  
Xitao ZHAO ◽  
Yinsheng MA ◽  
Xun ZHAO ◽  
Ting ZHAO ◽  
...  

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