Natural runoff changes in the Yellow River Basin

The driving factors of runoff changes can be divided into precipitation factor and non-precipitation factor, and they can also be divided into natural factor and human activity factor. In this paper, the ways and methods of these driving factors impacting on runoff changes are analyzed at first, and then according to the relationship between precipitation and runoff, the analytical method about impacts of precipitation and non-precipitation factors on basin's natural runoff is derived. The amount and contribution rates of the two factors impacting on natural runoff between every two adjacent decades during 1956-1998 are calculated in the Yellow River Basin (YRB). The results show that the amount and contribution rate of the two factors impacting on natural runoff are different in different periods and regions. For the YRB, the non-precipitation impact is preponderant for natural runoff reduction after the 1970s. Finally, by choosing main factors impacting on the natural runoff, one error back-propagation (BP) artificial neural network (ANN) model has been set up, and the impact of human activities on natural runoff reduction in the YRB is simulated. The result shows that the human activities could cause a 77×108 m3·a-1 reduction of runoff during 1980-1998 according to the climate background of 1956-1979.     

黄河流域径流变化

The driving factors of runoff changes can be divided into precipitation factor and non-precipitation factor, and they can also be divided into natural factor and human activity factor. In this paper, the ways and methods of these driving factors impacting on runoff changes are analyzed at first, and then according to the relationship between precipitation and runoff, the analytical method about impacts of precipitation and non-precipitation factors on basin's natural runoff is derived. The amount and contribution rates of the two factors impacting on natural runoff between every two adjacent decades during 1956-1998 are calculated in the Yellow River Basin (YRB). The results show that the amount and contribution rate of the two factors impacting on natural runoff are different in different periods and regions. For the YRB, the non-precipitation impact is preponderant for natural runoff reduction after the 1970s. Finally, by choosing main factors impacting on the natural runoff, one error back-propagation (BP) artificial neural network (ANN) model has been set up, and the impact of human activities on natural runoff reduction in the YRB is simulated. The result shows that the human background of 1956-1979.     

潘家口水库入库水资源变化趋势及影响因素

采用滑动平均和线性回归法对潘家口水库1956~2003年入库径流进行了分析,探讨了影响径流变化的基本因素,给出了降雨量、用水量和下垫面等因素变化对径流量变化贡献程度的定量估算方法。结果表明:入库径流呈不规则的周期波动变化,且整体呈较为明显的减小趋势;降雨量、用水量和下垫面等因素变化是影响径流量变化的主要因素,特别是下垫面的变化,其贡献程度可达70%左右。     

Driving forces analysis of reservoir wetland evolution in Beijing during 1984–2010

The reservoir wetland, which is the largest artificial wetland in Beijing, constitutes one of the important urban ecological infrastructures. Considering two elements of natural environment and socio-economy, this paper established the driving factor indexing system of Beijing reservoir wetland evolution. Natural environment driving factors include precipitation, temperature, entry water and groundwater depth; social economic driving factors include resident population, urbanization rate and per capita GDP. Using multi-temporal Landsat TM images from 1984 to 2010 in Beijing, the spatial extent and the distribution of Beijing reservoir wetlands were extracted, and the change of the wetland area about the three decade years were analyzed. Logistic regression model was used to explore for each of the three periods： from 1984 to 1998, from 1998 to 2004 and from 2004 to 2010. The results showed that the leading driving factors and their influences on reservoir wetland evolution were different for each period. During 1984-1998, two natural environment indices： average annual precipitation and entry water index were the major factors driving the increase in wetland area with the contribution rate of Logistic regression being 5.78 and 3.50, respectively, and caused the wetland growth from total area of 104.93 km 2 to 219.96 km 2 . From 1998 to 2004, as the impact of human activities intensified the main driving factors were the number of residents, groundwater depth and urbanization rate with the contribution rate of Logistic regression 9.41, 9.18, and 7.77, respectively, and caused the wetland shrinkage rapidly from the total area of 219.96 km 2 to 95.71 km 2 . During 2004-2010, reservoir wetland evolution was impacted by both natural and socio-economic factors, and the dominant driving factors were urbanization rate and precipitation with the contribution rate of 6.62 and 4.22, respectively, and caused the wetland total area growth slightly to 109.73 km 2 .     

Impacts of water conservancy and soil conservation measures on annual runoff in the Chaohe River Basin during 1961–2005

Taking the Chaohe River Basin above the Miyun Reservoir in North China as a study area, the characteristics and variation trends of annual runoff and annual precipitation during 1961–2005 were analyzed applying Mann-Kendall test method on the basis of the hydrologic data of the major hydrological station (Xiahui Station) located at the outlet of the drainage basin and the meteorological data of 17 rainfall stations. Human activities including water conservancy projects construction and water diversion as well as implementation of soil and water conservation from 1961 to 2005 were carefully studied using time series contrasting method. The referenced period (1961–1980) that influenced slightly by human activities and the compared period (1981–2005) that influenced significantly by water conservancy and soil conservation measures were identified according to the runoff variation process analysis and abrupt change points detection during 1961–2005 applying double accumulative curve method, mean shift t-test method and Mann-Kendall mutation test technique. Based on the establishment of a rainfall-runoff empirical statistical model, impacts and the runoff-reducing effects of water conservancy and soil conservation measures on runoff reduction were evaluated quantitatively. The major results could be summarized as follows: (1) The annual precipitation in the drainage basin tends to decrease while the runoff has declined markedly since the 1960s, the average annual runoff from 1991 to 2000 was only 90.9% in proportion to that from 1961 to 1970. (2) The annual runoff variations in the drainage basin are significantly related to human activities. (3) During 1981–1990, 1991–2000, 2001–2005 and 1981–2005, the average annual runoff reduction amounts were 1.15×10⁸, 0.28×10⁸, 1.10×10⁸ and 0.79×10⁸ m³ respectively and the average annual runoff-reducing effects were 31.99%, 7.13%, 40.71% and 23.79% accordingly. Runoff-reducing effects by water conservancy and soil conservation measures are more prominent in the low water period.     

1956-2003年拉萨河流域径流变化趋势

Taking the Lhasa River Basin above Lhasa hydrological station in Tibetan Plateau as a study area, the characteristics of the annual and monthly mean runoff during 1956-2003 were analyzed, based on the hydro-data of the two hydrological stations （Lhasa and Tanggya） and the meteorological data of the three meteorological stations （Damxung, Lhasa and Tanggya）. The trends and the change points of runoff and climate from 1956 to 2003 were detected using the nonparametric Mann-Kendall test and Pettitt-Mann-Whitney change-point statistics. The correlations between runoff and climate change were analyzed using multiple linear regression. The major results could be summarized as follows： （1） The annual mean runoff during the last 50 years is characterized by a great fluctuation and a positive trend with two change points （around 1970 and the early 1980s）, after which the runoff tended to increase and was increasing intensively in the last 20 years. Besides, the monthly mean runoff with a positive trend is centralized in winter half-year （November to April） and some other months （May, July and September）. （2） The trends of the climate change in the study area are generally consistent with the trend of the runoff, but the leading climate factors which aroused the runoff variation are distinct. Precipitation is the dominant factor influencing the annual and monthly mean runoff in summer half year, while temperature is the primary factor in winter season.     

基于Logistic回归模型的北京市水库湿地演变驱动力分析

水库湿地作为北京市面积最大的人工湿地,是北京市重要的生态基础设施。从自然环境和社会经济因素两个方面,构建北京市水库湿地演变的驱动因子指标体系,其中自然驱动因子包括年均降水量、气温、入境水量和地下水埋深;社会经济驱动因子包括常住人口数、城市化率和人均GDP。应用长时间序列(1984-2010 年) 的TM遥感影像,提取北京市近30 年来水库湿地的空间分布信息,根据湿地面积增长和消退的演变规律,利用Logistic 回归模型定量分析不同时间段下水库湿地演变的驱动机制。结果表明:不同时期内水库湿地变化的驱动因子及其影响力存在一定的差异。在1984-1998 年间,北京市水库湿地增长变化的主导驱动因子是年均降水量和入境水量,Logistic 回归的贡献率分别为5.778 和3.504,主要受自然环境因素的影响;在1998-2004 年期间,水库湿地急剧减少的驱动因子主要为常住人口、地下水埋深和城市化率,影响贡献率分别为9.41、9.18 和7.77,人为活动的影响开始加剧;在2004-2010 年间,影响水库湿地发生变化的主导因子是城市化率和年均降水量,贡献率分别为6.62 和4.22,受自然和社会经济因素的交叉影响。     

三江平原沼泽性河流径流演变的驱动力分析

在分析三江平原典型沼泽性河流挠力河径流演变特征及趋势的基础上，应用灰色关联分析和径向基函数网络等方法，探讨了引起径流量减少和发生突变的原因，分析结果表明：当地河川径流演化与沼泽化流的地理特征以及近50年来沼泽及沼泽化土地的大规模开垦和水资源的开发利用有密切的关系，人类活动是本区河川径流演变的主要驱动力，气候变化在径流演变中所起的作用相应减少，沼泽湿地对区域水系统的水量平衡产生着重要的影响，在流域下垫面已明显变化，水文循环出现变异的情况下，必须加强沼泽湿地保护的水的调控和管理。     

石羊河中游径流损耗特征及其影响因素

以石羊河中游为研究区域,分析了1956-2009年的径流损耗特征,通过相对损耗率和Fisher最优分割法等确定了人类活动对径流损耗的显著影响拐点为1975年,明确了人类活动影响下的径流突变点,修正了当前研究的不足。根据人类活动对径流影响的方式及强度,将近50多年的径流损耗划分为4个阶段,定量与定性相结合分析了1956-2009年不同代际的自然因素和人文因素对径流损耗的影响量和贡献率。结果表明:人类活动对石羊河中游径流损耗的影响于20世纪70年代中期以后显著增加;2000年之前人文因素贡献率不断增加,自然因素贡献率相应减少,且自然因素影响量与出山径流显著相关。20世纪90年代以来,人类活动与自然过程导致的径流损耗贡献率持平,1995-1999年人类活动影响量达到6.33亿m³/a,上游来水量的 62.31%被人类直接消耗,此时径流损耗的人文因素贡献率达最大值71.52%;之后开始逐渐降低,表明近年来石羊河中游人水系统矛盾有趋于缓和的迹象。     

SRM融雪径流模型在长江源区冬克玛底河流域的应用

冬克玛底河流域作为青藏高原腹地长江源区典型代表性高寒山区流域,有较大面积的冰川、积雪存在。本文以冬克玛底河流域2005年5~10月的实测水文、气象资料为基础,运用SRM融雪径流模型对不同分带数对融雪径流模拟效果的影响和不同测站气温分别作为气温驱动变量对融雪径流模拟效果的影响分别进行了模拟试验。结果表明：不同分带会对SRM模型融雪径流量模拟产生一定的影响;而不同的气温作为驱动变量对模拟的效果影响很大,这表明SRM模型对气温驱动变量非常敏感。同样根据流域内径流与气温降水的相关分析看到日径流量与气温相关性较好,线性相关系数最好达到0.72,而径流与降水线性相关系数为0.20。根据以上模拟实验和相关分析选择合适的分带和具有代表性的站点气温,SRM模型模拟的两个优度指标最好可达到Nash-Sutcliffe 系数 (R2) = 0.83和体积差 (Dv) = 0.95%。 考虑到SRM 模型对气温的敏感性,利用最终选择的模拟方案并结合气温升高1 ^oC气候情景假设来考虑气温、降水和径流之间的关系。模拟结果表明：气温升高1 ^oC后,(1) 模拟时期内的径流总量由原来模拟的25.5 × 10⁶ m³增加到33 × 10⁶ m³;(2) 冰川物质平衡线从原来的 5600上升到5750米,冰川消融区从5.8 km²增大到13.5 km²,冰川消融量增加,对径流量的贡献明显增大。(3) 气温的升高加速积雪融化并改变降水形态是径流在5~6月变大的主导因素。7~10月份的径流变大则主要是由于冰川消融。     

气候变化和人类活动对汾河流域径流情势影响分析

在人类活动和气候变化的影响下,汾河入黄径流量锐减,加剧了山西省水资源短缺的现状,并引起生态环境的恶化,同时入黄径流量的减少致使黄河干流流量的减少,加剧了黄河中下游的水资源短缺。以汾河流域为研究区,采用水文变异诊断系统分析了汾河流域入黄控制站河津站1956-2012年的径流情势的变化情况,入黄径流有显著下降的趋势,并且在1971年左右发生了突变减少。然后采用多元分析方法,分析造成径流突变减少的影响因子,其径流受到降水量、潜在蒸散发量和人类活动引起的流域属性改变的影响。随后采用Budyko公式分析其敏感性,在相对较长的时间尺度上,气候变化对径流的影响比人类活动更加敏感。最后采用累计斜率法分析上述参数对径流的影响比率,得到径流量受降水量、潜在蒸散发量和流域属性的影响比率分别为16.29%、-4.86%和88.57%。     

1944-2005年黑河流域径流量变化特征及趋势

The Heihe River drainage basin is one of the endangered ecological regions of China. The shortage of water resources is the bottleneck, which constrains the sustainable development of the region. Many scholars in China have done researches concerning this problem. Based on previous researches, this paper analyzed characteristics, tendencies, and causes of annual runoff variations in the Yingluo Gorge （1944-2005） and the Zhengyi Gorge （1954-2005）, which are the boundaries of the upper reaches, the middle reaches, and the lower reaches of the Heihe River drainage basin, by wavelet analysis, wavelet neural network model, and GIS spatial analysis. The results show that： （1） annual runoff variations of the Yingluo Gorge have principal periods of 7 years and 25 years, and its increasing rate is 1.04 m^3/s.10y; （2） annual runoff variations of the Zhengyi Gorge have principal periods of 6 years and 27 years, and its decreasing rate is 2.25 m^3/s.10y; （3） prediction results show that： during 2006-2015, annual runoff variations of the Yingluo and Zhengyi gorges have ascending tendencies, and the increasing rates are respectively 2.04 m^3/s.10y and 1.61 m^3/s.10y; （4） the increase of annual runoff in the Yingluo Gorge has causal relationship with increased temperature and precipitation in the upper reaches, and the decrease of annual runoff in the Zhengyi Gorge in the past decades was mainly caused by the increased human consumption of water resources in the middle researches. The study results will provide scientific basis for making rational use and allocation schemes of water resources in the Heihe River drainage basin.     

Nitrogen export by runoff and sediment under different types of land use in West Tiaoxi catchment

Five typical land covers in West Tiaoxi catchment of China, including mulberry garden, bamboo forest, pinery, vegetable plot and paddy field, were studied on nitrogen loss in artificial rainstorm runoff and sediment. Triple duplication experiments have been carried out under the artificial rain condition with an intensity of 2 mm.mm⁻¹ and lasting 32 minutes in 3 m² field. Export of various species of nitrogen in runoff and sediment were investigated. The results show that nitrogen loss amount and rate are quite different among five kinds of land covers. The loss of total nitrogen in runoff of mulberry is the largest and that of paddy field is the smallest. Particle nitrogen accounts for 70–90% of total nitrogen in runoff of various kinds of land covers. Loss of dissolved nitrogen in pinery is much higher than in other kinds of land covers, which are similar among them. More detailed species of dissolved nitrogen show their respective features among various land covers. Total amounts of nitrogen loss from the top 10 cm layer of 5 kinds of soils are estimated as high as 4.66–9.40 g.m⁻², of which nitrogen loss through sediment of runoff accounts for more than 90%. The rate of total nitrogen losses are ranged in 2.68–14.48 mg.m⁻².min⁻¹ in runoff, which is much lower than that of 100.01–172.67 mg.m⁻².min⁻¹ in sediment of runoff.     

黄河入海径流变化及影响因素

黄河入海径流是黄河水循环的重要分量,涉及整个流域,它的变化是流域气候与人类活动的综合体现。以黄河入海口利津水文站1963～2009年实测径流量年均值为基础,采用随机水文学方法,对入海径流动态变化进行了分析;结合流域内7个径流来源区的78个气象站同时段月均降水和气温数据及流域内取水量和水利工程等资料,探讨了不同径流来源区的气候因素和人类活动对入海径流量的影响。结果表明:近50年来入海实测径流量呈显着下降趋势,且存在1968年、1985年、1996年与2002年这四个突变点;入海天然径流量同样呈显着下降趋势,只有1985年一个突变点。唐乃亥以上区间的降水量、兰州至龙门区间的气温以及龙门至三门峡区间的降水和气温是引起入海天然径流量变化主要因素;气温因素的季节性变化对入海天然径流量也有影响,其中夏季降水与冬季气温是重要的因素。自20世纪70年代以来,人类活动对入海径流量的影响不断加强,且在耗水量、水土保持及水利工程等方面表现出明显的空间差异。取水量、降水、气温对黄河入海实测径流量变化的贡献率分别为42.2%、39.2%、18.6%.     

三江源地区气候变化及其对径流的驱动分析(英文)

Based on the precipitation and temperature data of the 12 meteorological stations in the "Three-River Headwaters" region and the observed runoff data of Zhimenda in the headwater sub-region of the Yangtze River, Tangnaihai in the headwater sub-region of the Yellow River and Changdu in the headwater sub-region of the Lancang River during the period 1965-2004, this paper analyses the trends of precipitation, temperature, runoff depth and carries out significance tests by means of Mann-Kendall-Sneyers sequential trend test. Makkink model is applied to calculate the potential evaporation. The runoff model driven by precipitation and potential evaporation is developed and the influence on runoff by climate change is simulated under different scenarios. Results show that during the period 1965-2004 the temperature of the "Three-River Headwaters" region is increasing, the runoff of the three hydrological stations is decreasing and both of them had abrupt changes in 1994, while no significant trend changes happen to the precipitation. The runoff model suggests that the precipitation has a positive effect on the runoff depth, while the potential evaporation plays a negative role. The influence of the potential evaporation on the runoff depth of the Lancang River is found to be the significant in the three rivers; and that of the Yellow River is the least. The result of the scenarios analysis indicates that although the precipitation and the potential evaporation have positive and negative effects on runoff relatively, fluctuated characteristics of individual effect on the runoff depth in specific situations are represented.     

潮河流域降水-径流关系变化及驱动因子识别

基于1973-2010年长系列日降水、径流数据,利用降水径流双累积曲线、M-K统计检验和降水集中度等方法,结合HIMS模型模拟结果,分析了潮河流域降水-径流关系的变化及其原因。得到的主要结论如下：（1）近38年来,潮河流域降水变化较小,但径流下降趋势显著,降水-径流关系发生了两次突变,即在1973-1983年、1984-1998年和1999-2010年三个阶段降水-径流关系存在明显差异;（2）大雨日降水总和（P_≥20）与径流深关系较为密切,其变化是导致降水-径流关系在1983年发生突变的主要驱动因子;（3）HIMS模型模拟结果显示,1999-2010年潮河流域下垫面条件较前两阶段变化明显,人类活动引起的减水效应由第二阶段的14.93%增加至第三阶段的25.78%,人类活动是导致降水-径流关系在1998年发生突变的主要驱动因子。     

渭河与泾河流域水沙变化规律及其差异性分析

依据渭河和泾河流域1956—2016年实测水文资料、水利水保统计数据、TerraClimate年平均温度和Landsat地表反射率数据集,分析了流域水文要素、气温及植被覆盖度的历年变化规律,采用双累积值曲线法、累积距平法、有序聚类法、Lee-Heghinan法、秩和检验法等数理统计方法,确定了流域年径流量和年输沙量变化...     

水利水保措施对潮河流域年径流量的影响——基于经验统计模型的评估

利用时间序列对比法分析了1961-2005 年潮河流域降水、径流、用水量、水利工程、 水土保持措施变化。结果表明: (1) 自20 世纪60 年代以来, 潮河流域年平均面雨量略有减 少, 但流域年径流量却呈明显减少趋势, 1991-2000 年的流域年径流量平均值为1961-1970 年 的90.9%, 减少幅度较大; (2) 潮河流域径流量的变化主要与水利水保等人类活动有关。利用 降水-径流经验统计模型评估了流域水利水保措施对年径流量的影响程度: 1981-1990 年、 1991-2000 年、2001-2005 年、1981-2005 年, 受水利水保措施影响所产生的年均减水量分别 为1.15、0.28、1.10、0.79 亿m³, 水利水保措施减水效应分别为31.99%、7.13%、40.71%、 23.79%。水利水保措施对枯水时段的减水效应更为突出。     

渭河径流年内分配变化特征及其影响因子贡献率分解

研究渭河径流年内分配变化特征及其影响因子,有助于在区域视角下进一步掌握全球变暖与人类活动不断加剧背景下的水文响应。本文基于1960-2005年实测径流、面降雨以及潜在蒸发量的月序列数据,采用集中度与不均匀系数两个指标分析渭河径流年内分配特征的时空变化规律。运用Mann-Kendall法求算了渭河流域径流集中度与不均匀系数的变化趋势,采用启发式分割法诊断径流年内分配特征值的变异点,并运用累积量斜率变化率比较法定量计算气候变化与人类活动对径流年内分配特征变化的贡献率。结果表明:①渭河实测径流年内分配特征值的年变化过程呈现上升趋势,其中张家山站呈现显著上升趋势,该流域旱涝风险有所增加;②林家村与张家山站的实测径流年内分配特征值均存在1973年这一变异点,而华县站无变异点存在;③气候变化与人类活动影响对林家村站径流年内分配集中度与不均匀系数的贡献率分别为27.15%,72.85% 和12.10%,87.90%,而对张家山站的贡献率分别为39.11%,60.89%和33.73%,66.27%。人类活动是渭河实测径流年内分配特征变化的主要驱动力。     

中国区域水汽输送异常与长江流域旱涝的关系

The characteristics of water vapor transport (WVT) over China and its relationship with precipitation anomalies in the Yangtze River Basin (YRB) are analyzed by using the upper-air station data in China and ECMWF reanalysis data in summer from 1981 to 2002. The results indicate that the first mode of the vertically integrated WVT is significant whose spatial distribution presents water vapor convergence or divergence in the YRB. When the Western Pacific Subtropical High (WPSH) is strong and shifts southward and westward, the Indian Monsoon Low Pressure (IMLP) is weak, and the northern part of China stands behind the middle and high latitude trough, a large amount of water vapor from the Bay of Bengal (BOB), the South China Sea (SCS) and the western Pacific forms a strong and steady southwest WVT band and meets the strong cold water vapor from northern China in the YRB, thus it is likely to cause flood in the YRB. When WPSH is weak and shifts northward and eastward, IMLP is strong, and there is nearly straight west wind over the middle and high latitude, it is unfavorable for oceanic vapor extending to China and no steady and strong southwest WVT exists in the region south of the YRB. Meanwhile, the cold air from northern China is weak and can hardly be transported to the YRB. This brings on no obvious water vapor convergence, and then less precipitation in the YRB. Foundation: International Technology Cooperation Project of the Ministry of Science and Technology of China, No. 2007DFB20210; Application Technology Research and Development Project of Sichuan Province, No. 2008NG0009; Basic Research Foundation of Institute of Chengdu Plateau, China Meteorological Administration, No.BROP2000802 Author: Jiang Xingwen (1983–), specialized in the study of climate diagnosis.