利用石羊河流域内国家气象站点和中国内陆河湖水文站点2010—2012年逐日降水观测资料,基于DEM资料提取流域经度、纬度、坡度、坡向、海拔等地形因子,建立降水量与地理地形因子之间的多元偏最小二乘(partial least squares,PLS)回归模型,对石羊河流域2010—2012年在年、季、月尺度上的降水分布特征进行研究,结果显示:1)采用交叉验证法对PLS与反距离加权法(IDW)、样条函数法(SPLINE)、普通克里金插值法(OK)等传统插值方法的精度验证结果比较发现,PLS的平均绝对误差(MAE)和均方根误差(RMSE)值均是最小的。PLS回归模型对降水量的拟合相关系数除2011/2012年冬季分别为0.68和0.66,其余模型的拟合相关系数均在0.81以上,且显著性水平在95%以上。2)不同的时间及时间尺度,地形因子对降水量的影响是不同的,基本上海拔和坡度对降水量的影响是较大的,且随海拔和坡度的增加降水量增加。3)石羊河流域2010—2012年年降水量从南向北逐渐递减,最大降水量均在南部祁连山区;季节降水量大小依次为夏季>秋季>春季>冬季,夏季降水量较丰富;不同年的夏季6/7/8月的降水特征也各不相同,2011年7月和2012年8月降水量相对较丰富。
Mountain regions supply a large amount of fresh water for the people in arid and semiarid regions, however, there is great uncertainty of the water quantification from mountains to lower areas. In order to assess the hydrological significance of mountains and the hydrological linkage of mountains and plains, the measured and simulated hydrological data of the arid region in northwest China were used in the present research which followed a catchment-based approach. Firstly, the Heihe River Basin, a well-documented area, was selected as a specific watershed to reveal the hydrological relationship between highlands (mountains) and lowlands (plains); and then, the significance and disproportion of mountain runoff of 8 river basins as cases in the arid region of northwest China were analyzed and compared following the above analysis. The results of the study showed that the proportion of mountain runoff in total basinal runoff (PMR) of most rivers is above 50%. The PMR are between 50%-95% in the rivers originated in the northern slope of the Tianshan Mountains where the aqueous vapor is relatively sufficient. And that, almost all the flow of the rivers originating from the Qilian Mountains, the southern slope of the Tianshan Mountains, and the northern slope of the Kunlun Mountains come from mountain regions. Also the PMR gradually increases from west to east in northwest China. The hydrological significance and disproportion of mountains water in the arid region of northwest China were given a systematic and thorough assessment, and the results could give potential guides for the scientific utilization of water resources in these regional areas for relieving the more and more serious shortage of water resources due to climate warming and population expansion.
Glacier runoff in mountain areas of the Shiyang River Basin(SRB), Qilian Mountain, western China is important for the river and water supply downstream. Small glaciers with area of less than 1km2 are dominant(87%) in the SRB. A modified monthly degree-day model was applied to quantify the glacier mass balance, area, and changes in glacier runoff in the SRB during 1961–2050. The comparison between the simulated and observed snow line altitude, annual glacier runoff, and mass balance from1961 to 2008 suggests that the degree-day model may be used to analyze the long-term change of glacier mass balance and runoff in the SRB. The glacier accumulation shows a significant(p<0.01) decreasing trend of-0.830 mm a-1. The mass balance also shows a significant(p<0.01) decreasing trend of-5.521 mm a-1. The glacier total runoff has significantly(p<0.05)increased by 0.079 × 105 m3 from 1961 to 2008. The monthly precipitation and air temperature are projected to significant(p<0.005) increase during2015 to 2050 under three different scenarios. The ablation is projected to significant(p<0.001) increase,while the accumulation has no significant(p=0.05)trend. The mass balance is projected to decrease, theglacier area is projected to decrease, and the glacier runoff depth is projected to increase. However, the glacier total runoff is projected to decrease. These results indicate that the glacier total runoff over glacier areas observed in 1970 reached its peak in the 2000 s. This will exacerbate the contradiction between water supply and downstream water demands in the SRB.
Estimating the impact of mountain landscape on hydrology or water balance is essential for the sustainable development strategies of water resources.Specifically,understanding how the change of each landscape influences hydrological components will greatly improve the predictability of hydrological responses to mountain landscape changes and thus can help the government make sounder decisions.In the paper,we used the VIC(Variable Infiltration Capacity)model to conduct hydrological modeling in the upper Heihe River watershed,along with a frozen-soil module and a glacier melting module to improve the simulation.The improved model performed satisfactorily.We concluded that there are differences in the runoff generation of mountain landscape both in space and time.About 50% of the total runoff at the catchment outlet were generated in mid-mountain zone(2,900-4,000 m asl),and water was mainly consumed in low mountain region(1,700-2,900 m asl)because of the higher requirements of trees and grasses.The runoff coefficient was 0.37 in the upper Heihe River watershed.Barren landscape produced the largest runoff yields(52.46% of the total runoff)in the upper Heihe River watershed,followed by grassland(34.15%),shrub(9.02%),glacier(3.57%),and forest(0.49%).In order to simulate the impact of landscape change on hydrological components,three landscape change scenarios were designed in the study.Scenario 1,2 and 3 were to convert all shady slope landscapes at 2,000-3,300 m,2,000-3,700 m,and 2,000-4,000 m asl respectively to forest lands,with forest coverage rate increased to 12.4%,28.5% and 42.0%,respectively.The runoff at the catchment outlet correspondingly declined by 3.5%,13.1% and 24.2% under the three scenarios.The forest landscape is very important in water conservation as it reduced the flood peak and increased the base flow.The mountains as "water towers" play important roles in water resources generation and the impact of mountain landscapes on hydrology is significant.
Jia QINYongJian DINGJinKui WUMingJie GAOShuHua YIChuanCheng ZHAOBaiSheng YEMan LIShengXia WANG
Soil moisture is an important variable in the fields of hydrology, meteorology, and agriculture, and has been used for numerous applications and forecasts. Accurate soil moisture predictions on both a large scale and local scale for different soil depths are needed. In this study, a soil moisture assimilation and prediction based on the Ensemble Kalman Filter(EnKF) and Simple Biosphere Model(SiB2) have been performed in Meilin watershed, eastern China, to evaluate the initial state values with different assimilation frequencies and precipitation influences on soil moisture predictions. The assimilated results at the end of the assimilation period with different assimilation frequencies were set to be the initial values for the prediction period. The measured precipitation, randomly generated precipitation,and zero precipitation were used to force the land surface model in the prediction period. Ten cases were considered based on the initial value and precipitation. The results indicate that, for the summer prediction period with the deeper water table depth, the assimilation results with different assimilation frequencies influence soil moisture predictions significantly. The higher assimilation frequency gives better soil moisture predictions for a long lead-time. The soil moisture predictions are affected by precipitation within the prediction period. For a short lead-time, the soil moisture predictions are better for the case with precipitation, but for a long lead-time, they are better without precipitation. For the winter prediction period with a lower water table depth, there are better soil moisture predictions for the whole prediction period. Unlike the summer prediction period, the soil moisture predictions of winter prediction period are not significantly influenced by precipitation. Overall, it is shown that soil moisture assimilations improve its predictions.
Xiaolei FUZhongbo YUYing TANGYongjian DINGHaishen LYUBaoqing ZHANGXiaolei JIANGQin JU
