典型枯水年长江干流硅的分布、输送与滞留

于特枯水情年对三峡水库溶解硅和长江干流自涪陵至河口段悬浮颗粒物、溶解硅、生物硅和叶绿素a浓度等进行调查.研究表明,在平水期和汛期末,长江干流水体溶解硅和生物硅浓度和通量在其上游受大坝"滞留"效应的影响呈现沿程降低的趋势,中、下游受"两湖"和汉江等的补充作用有明显升高.在枯水年,长江干流水体生物硅浓度占活性硅(溶解硅和生物硅之和)浓度的2%~5%,显著低于平水年的比例(13%),同时也低于世界河流的平均水平(16%).三峡水库在4-12月份减少溶解硅向下游的输送通量,而在1-3月份增加溶解硅的输送通量;水库在枯水年滞留了大约3%~6%的溶解硅.三峡水库内低的初级生产水平和高的生物硅再生速率是其难以对溶解硅形成有效滞留的主要因素.大坝下游会因清水下泄产生潜在的滞留效应,不过还需要更多的数据去量化.     

长江流域水库"过滤器效应"对入海溶解硅通量的影响

根据1960-2000年间长江大通水文站记录的水、沙以及硅、氮、磷等数据,结合1954-2006年间长江流域库容大于10⁸ m³的162座水库的库容、上游径流量、总磷等数据,利用Vollenweider模型分析了水库"过滤器效应"对入海溶解硅(DSi)通量的影响.结果表明:1)1990s相比1960s,长江入海DSi通量下降了约1.85×10⁶ t/a,减少了大约25.3%;入海DSi通量的下降与流域径流波动、入海悬沙通量下降以及溶解无机氮通量的增加紧密相关.2)流域水库明显改变径流的自然过程,增加径流的滞留时间,流域90%以上的水库对上游径流的滞留时间超过0.05年,水库产生显著的DSi"生物过滤器"效应.模型计算显示流域大型水库对DSi的累计滞留量可达0.85×10⁶ t/a,占年均入海DSi通量(1990-2000年)5.4×10⁶ t的15.7%,是入海DSi通量减少量(1.85×10⁶ t/a)的45.9%.3)根据保守估计,流域162座大型水库内泥沙累计淤积量达6.75×10⁸ t/a,不仅使悬沙入海通量显著下降,而且造成大量颗粒吸附的外源和内源DSi颗粒沉淀,这对入海DSi通量减少也起到重要贡献.但目前对水库"泥沙过滤器"的滞留机理并不清楚,需要展开进一步的研究.     

δEuN-∑REEs图解定量区分长江和黄河沉积物

对取自长江下游河道和黄河的沉积物样品进行了稀土元素分析,并搜集了文献资料中长江和黄河沉积物样品的稀土元素数据,发现在δEuN-∑REEs关系图中长江和黄河沉积物之间有一条明显的分界线,回归分析表明该分界线是一个3次多项式方程,在该界线的上方是长江沉积物,下方是黄河沉积物．为了考察该分界线的合理性及其应用价值,在长江口和黄河口分别取样进行稀土元素分析,并搜集了来源于长江255孔和源于黄河的YA01孔沉积物的稀土元素数据．在δEuN—∑REEs关系图中,长江口和255孔沉积物绝大部分分布在长江沉积物的区域,而黄河口和YA01孔沉积物绝大部分分布在黄河沉积物的区域．因此,通过δEuN-∑REEs关系图和回归曲线方程,可以直观、定量地区分长江和黄河沉积物,并可用于中国东部边缘海沉积物源的定量识别．δEuN-∑REEs是长江和黄河沉积物的源区气候条件和物质组成差异的综合体现,在沉积物由源区进入河流,再由河流进入海洋的过程中,δEuN—∑REEs关系基本保持不变,使得其最初的物源和气候信息得以保存,并继承下来．     

黄河与长江流域水资源变化原因

利用1951～2008年黄河与长江流域逐月降水和径流资料,对流域年径流变化进行趋势性检验,分析年降水量和径流量的相关关系变化,比较不同时段流域降水和径流的变化趋势和双累积曲线,以及径流对降水的敏感性变化.结果表明,黄河干流上游年降水量微弱下降,中下游降水减少趋势显著,为8.8～9.8mm/10a;而全流域径流量均呈现显著递减的趋势,为7.8～10.8mm/10a(通过95%置值度检验);径流系数也明显下降,下降范围为0.013～0.019/10a,流域产流能力下降,径流减少趋势在20世纪80年代末至90年代初发生突变.长江流域大部降水减少趋势显著,为18.2～24.7mm/10a;上游(寸滩站,宜昌站)径流减少趋势显著,为9.9～7.2mm/10a,中游(汉口站)和下游(大通站)径流呈微弱下降趋势,为2.9～2.1mm/10a;长江流域上游径流系数增加不显著,中下游径流系数呈显著增加趋势,速率分别0.005/10a和0.005/10a,表明中下游产流能力增强.根据水文参数公式计算,与1951～1969年相比,1970～2008年,降水减少和人类活动引起的下垫面变化对黄河流域径流减少量的贡献率分别为11%和83%;在长江流域,降水减少对径流量变化的贡献占29%,人类活动引起的径流量增加占71%.1980～2008年,黄河流域由于下垫面变化造成径流量减少的比例在兰州、三门峡、花园口、利津分别为97%,83%,83%和91%,降水引起的径流量减少比例分别为3%,17%,17%和9%.长江流域降水减少对寸滩、宜昌、汉口、大通径流量减少的贡献分别为89%,74%,43%和35%,下垫面变化对径流增量的贡献分别为11%,26%,57%和65%.人类活动的作用强度逐年增大,2000年之后,下垫面变化对黄河、长江流域径流变化量的贡献率上升到84%和73%.下垫面变化引起了黄河下游径流减少和长江下游径流增加,在干旱区和湿润区对径流变化的作用相反.造成这一现象的原因是:黄河流域人类的活动用水量的增加直接造成径流减少;长江流域因太阳辐射下降引起实际蒸发量下降,同时湖泊面积减少,下垫面硬化也在一定程度上造成产流能力增加.     

黄河径流量的历史演变规律及成因

基于黄河上、中和下游的径流及气候资料,对径流的年代际变化规律及与气候变化的关系进行了分析.结果表明：黄河流域的径流均存在显著的年代际变化趋势,径流的显著特征是从20世纪80年代开始的减少趋势,但并未达到历史的最低,径流减少的趋势在下游比上游更显著,而这种变化趋势与流域的气候变化趋势基本一致,说明在年代际尺度上,径流的变化主要受气候的控制;在不同季节,这种关系有明显差异,如在冬季两者的变化趋势有较大差异.分析还发现,近年来流域地表的干化是流域径流减少的原因,气温的升高更加剧了流域地表干化.     

三峡水库运行前后长江中下游干流及两湖的径流过程变化

为探索三峡水库运行前后长江中下游干流及两湖径流过程的变化及其驱动因素,利用宜昌、监利、大通、七里山、湖口共5个水文站的流量资料,分析了各站径流过程的变化特征及其成因。结论:(1)各站年径流量均减少,但除七里山站之外,其它各站减少比例均小于10%且变化不显著;(2)干流各站月径流量最大减幅发生在10月,而七里山站、湖口站分别发生在7月、4月;(3)干流各站月径流量最大增幅发生在3月,而七里山站、湖口站分别发生在1月、6月;(4)宜昌站,1—4月径流量增加是三峡水库入库径流增加和水库调度的共同作用结果,6—8月径流量减少的主因是三峡水库入库径流量减少,5、9、10月径流量变化的主因是三峡水库调度;(5)监利站,径流量的变化与宜昌站表现出高度的一致性,但冬季各月径流量的增幅均大于宜昌站;(6)大通站,4—6月径流量变化方向与湖口站一致,其它月份变化方向均与宜昌站一致。(7)七里山站,7月径流量减少的主因是洞庭湖流域来水减少,9、10月径流量减少的主要原因是荆江分流减少,但洞庭湖流域来水减少也是重要原因。(8)湖口站,4、5月径流量减少的主因是流域降水减少,9、10月径流量减少的主要原因是鄱阳...     

长江输出溶解态无机磷的通量模型灵敏度分析及情景预测

研究河流向河口及沿海海域输送的物质通量是一项国际性前沿课题.基于人类活动影响流域营养盐输移的定量分析,应用Global NEWS模型模拟1970-2003年长江输出溶解态无机磷(DIP)的通景,对其不同来源的贡献率进行了分析,并基于千年生态系统评估对未来社会经济发展规划的情景,对2050年长江输出DIP的通量进行预测....     

海洋微型生物碳泵储碳机制及气候效应

海洋中存在一个巨大的惰性溶解有机碳(RDOC)库,可与大气CO2碳量相媲美.两个碳库之间的交换势必影响气候变化.RDOC可在海洋中保存数千年,构成了海洋储碳的重要机制.探寻RDOC碳库形成机制是认识海洋如何储碳的关键.新近提出的"海洋微型生物碳泵(Microbial Carbon Pump,MCP)"理论指出,海洋微型生物是RDOC碳库的主要贡献者.本文从MCP的主动机制和被动机制及其环境调控出发,论述了海洋RDOC的组成与生物来源,RDOC组分的微型生物代谢途径,病毒的裂解过程以及浮游动物活动对RDOC生产的贡献,不同类群微型生物有机碳代谢特征及其生物标记物与碳氢同位素表征,以及MCP的能量代谢特征与储碳效率,并结合MCP储碳的地史证据展望了MCP在增加海洋储碳能力方面的应用前景.     

Streamflow trends and climate linkages in the source region of the Yellow River,China

Much of the discussion on hydrological trends and variability in the source region of the Yellow River centres on the mean values of the mainstream flows. Changes in hydrological extremes in the mainstream as well as in the tributary flows are largely unexplored. Although decreasing water availability has been noted, the nature of those changes is less explored. This article investigates trends and variability in the hydrological regimes (both mean values and extreme events) and their links with the local climate in the source region of the Yellow River over the last 50 years (1959–2008). This large catchment is relatively undisturbed by anthropogenic influences such as abstraction and impoundments, enabling the characterization of widely natural, climate‐driven trends. A total of 27 hydrological variables were used as indicators for the analysis. Streamflow records from six major headwater catchments and climatic data from seven stations were studied. The trend results vary considerably from one river basin to another, and become more accentuated with longer time period. Overall, the source region of the Yellow River is characterized by an overall tendency towards decreasing water availability. Noteworthy are strong decreasing trends in the winter (dry season) monthly flows of January to March and September as well as in annual mean flow, annual 1‐, 3‐, 7‐, 30‐ and 90‐day maxima and minima flows for Maqu and Tangnag catchments over the period 1959–2008. The hydrological variables studied are closely related to precipitation in the wet season (June, July, August and September), indicating that the widespread decrease in wet season precipitation is expected to be associated with significant decrease in streamflow. To conclude, decreasing precipitation, particularly in the wet season, along with increasing temperature can be associated with pronounced decrease in water resources, posing a significant challenge to downstream water uses. Copyright © 2011 John Wiley & Sons, Ltd.     

The 1800-year variation of the lower Yellow River bank breachings in relation to the drainage basin vegetation reconstructed using cave stalagmite records

Rivers are closely related to climate, and the hydrogeomorphic features and stability of river channels respond sensitively to climatic change. However, the history of instrumental observations of climatic, hydrological and channel changes is short, notably limiting our ability to understand the complex river responses to long-term climate change and human activity. In this study, we show that cave stalagmite records reflected the variations in precipitation and temperature in the Yellow River basin, and the net primary productivity (NPP) of vegetation over the past 1800 years can therefore be reconstructed. We found that the reconstructed annual mean precipitation (P_m) and NPP closely related to the 1800-year variation of the lower Yellow River (LYR) channel instability indexed by the frequency of the LYR levee breaching events (LBEs) (F_b) derived from historical documents. The temporal variations in P_m, NPP and F_b exhibited an anti-phase relationship (negative correlation) and in-phase relationship (positive correlation), referred to as Type I and Type II relationships, respectively. The two types alternately appeared, dividing the studied period into several sub-periods. Type I occurred when the vegetation remained in a quasi-natural condition, and Type II occurred when the vegetation had been altered by humans to some degree. These features reflect complex river behaviours in response to climate change and human activity and may be explained by the interaction between climate, vegetation and human activity on the millennial timescale. © 2018 John Wiley & Sons, Ltd.     

Monotonic trend and abrupt changes for major climate variables in the headwater catchment of the Yellow River basin

On the basis of the mean air temperature, precipitation, sunshine duration and pan evaporation at 23 meteorological stations in the headwater catchment of the Yellow River basin from 1960 to 2001, the long‐term monotonic trend and abrupt changes for major climate variables have been investigated. The plausible monotonic trend of annual climatic time series are detected using a non‐parametric method. The abrupt changes have been investigated in terms of a 5 year moving averaged annual series, using the moving t‐test (MTT) method, Yamamoto method and Mann–Kendall method. The results showed that the annual air temperature has increased by 0·80 °C in the headwater catchment of the Yellow River basin during the past 42 years. One obvious cold period and one warm period were detected. The warmest centre was located in the northern part of the basin. The long‐term trend for annual precipitation was not significant during the same period, but a dry tendency was detected. According to the Kendall slope values, the declining centre for annual precipitation was located in the eastern part and the centre of the study area. The long‐term monotonic trend for annual sunshine duration and pan evaporation were negative. The average Kendall slopes are ? 29·96 h/10 yr and ? 39·63 mm/10 yr, respectively. The tests for abrupt changes using MTT and Yamamoto methods show similar results. Abrupt changes occurred in the mid 1980s for temperature, in the late 1980s for precipitation and in the early 1980s for sunshine duration and pan evaporation. It can be seen that the abrupt changes really happened in the 1980s for the climate variables. Different results are shown using the Mann–Kendall method. Both the abrupt changes of temperature and precipitation took place in the early 1990s, and that of pan evaporation occurred in the 1960s. The only abrupt change in sunshine duration happened during the similar period (in the 1980s) with the results detected by the MTT and Yamamoto methods. The abrupt changes which occurred in the 1990s and 1960s are not detectable using the MTT and Yamamoto methods because of the data limitation. However, the results tested by the MTT and Yamamoto methods exhibited great consistency. Some of the reasons may be due to the similar principles for these two methods. Different methods testing the abrupt climatic changes have their own merits and limitations and should be compared based on their own assumption and applicable conditions when they are used. Copyright © 2008 John Wiley & Sons, Ltd.     

Impact of projected climate change on the hydrology in the headwaters of the Yellow River basin

Located in the northeast of the Tibetan Plateau, the headwaters of the Yellow River basin (HYRB) are very vulnerable to climate change. In this study, we used the Soil and Water Assessment Tool (SWAT) model to assess the impact of future climate change on this region's hydrological components for the near future period of 2013–2042 under three emission scenarios A1B, A2 and B1. The uncertainty in this evaluation was considered by employing Bayesian model averaging approach on global climate model (GCM) multimodel ensemble projections. First, we evaluated the capability of the SWAT model for streamflow simulation in this basin. Second, the GCMs' monthly ensemble projections were downscaled to daily climate data using the bias‐correction and spatial‐disaggregation method and then were utilized as input into the SWAT model. The results indicate the following: (1) The SWAT model exhibits a good performance for both calibration and validation periods after adjusting parameters in snowmelt module and establishing elevation bands in sub‐basins. (2) The projected precipitation suggests a general increase under all three scenarios, with a larger extent in both A1B and B1 and a slight variation for A2. With regard to temperature, all scenarios show pronounced warming trends, of which A2 displays the largest amplitude. (3) In the terms of total runoff from the whole basin, there is an increasing trend in the future streamflow at Tangnaihai gauge under A1B and B1, while the A2 scenario is characterized by a declining trend. Spatially, A1B and B1 scenarios demonstrate increasing trends across most of the region. Groundwater and surface runoffs indicate similar trends with total runoff, whereas all three scenarios exhibit an increase in actual evapotranspiration. Generally, both A1B and B1 scenarios suggest a warmer and wetter tendency over the HYRB in the forthcoming decades, while the case for A2 indicates a warmer and drier trend. Findings from this study can provide beneficial reference to water resource and eco‐environment management strategies for governmental policymakers. Copyright © 2015 John Wiley & Sons, Ltd.     

A spatial analysis of hydro‐climatic and vegetation condition trends in the Yellow River basin

Stream‐gauge data indicate that the flow of the Yellow River has declined during the past several decades. Zero flow in sections of the river channel, i.e. the Yellow River drying‐up phenomenon, has occurred since the 1970s. In this paper we present an analysis of changes in the spatial patterns of climatic and vegetation condition data in the Yellow River basin based on data from meteorological stations and satellites. The climatic data are from 1960 to 2000 and the vegetation condition data are from 1982 to 2000. The angular‐distance‐weighted interpolation method is used to get climatic data coverage from station observations. The spatial distribution of tendency is detected with Student's t‐test. The spatial patterns of climatic and vegetation condition change was analysed together with the statistical data on human activities. The analysis indicates that the precipitation decreases and temperature increases in most parts of the Yellow River basin, the evaporative demand of the atmosphere decreases in the upper reaches and increases in the lower reaches, and human activities have improved the vegetation condition in the irrigation districts. The Loess Plateau, the Tibetan Plateau, and the irrigation districts are respectively suggested as precipitation, temperature, and human activity hot spots of the Yellow River drying‐up phenomenon. Copyright © 2007 John Wiley & Sons, Ltd.     

Long‐term trend analysis for major climate variables in the Yellow River basin*

Some previous studies have shown that drying‐up of the lower Yellow River resulted from decreasing precipitation and excessive industrial and agricultural consumption of water from the middle and downstream regions of the Yellow River. On the basis of average air temperature, precipitation, and pan evaporation data from nearly 80 gauging stations in the Yellow River basin, the monotonic trends of major climate variables over the past several decades are analysed. The analysis was mainly made for 12 months and the annual means. The isograms for annual and typical months are given in the paper. The result shows that the average temperature in the study area exhibits an increasing trend, mainly because of the increase of temperature in December, January and February. The largest trend is shown in December and the smallest is in August. There are 65 of 77 stations exhibiting a downward trend for annual precipitation. In all seasons except summer, there is a similar trend in the upstream region of the Yellow River, south of latitude 35°N. It is interesting to note that the pan evaporation has decreased in most areas of the Yellow River basin during the past several decades. April and July showed the greatest magnitude of slope, and the area from Sanmenxia to Huayuankou as well as the Yiluo River basin exhibited the strongest declining trend. The conclusion is that the decreasing pan evaporation results from complex changes of air temperature, relative humidity, solar radiation, and wind speed, and both climate change and human activities have affected the flow regime of the Yellow River during the past several decades. Copyright © 2007 John Wiley & Sons, Ltd.     

长江上游大中型水库碳排放量估算与分析：以IPCC国家温室气体清单指南为基础

双碳”背景下,我国能源结构面临持续转型发展。作为清洁可再生能源,水电开发是近年来长江上游水资源开发利用的重点工作。然而,筑坝蓄水将在一定程度上改变区域碳排放情况。评估水库碳排放量是客观、科学认识水电清洁能源属性的基础,是国家温室气体清单的一个重要组成部分。基于IPCC国家温室气体清单指南层级1(Tier 1)的方法,以长江上游24个中、大型水库为案例,探讨长江上游典型水库生命周期内的碳排放量,并通过蒙特卡洛模拟对估算结果进行不确定性分析及模型参数的敏感性分析。结果显示,24个水库的生命周期碳排放量分布在0.0342～140.59 Tg CO_2eq的区间内,总排放量达到264.05 Tg CO_2eq(其中,CO₂排放量占9.12%,CH₄排放量占90.88%),单位发电量的碳排放均值为3.30 g CO_2eq/(kW·h)(0.01～17.64 g CO_2eq/(kW·h)),最小、最大值分别出现在锦屏二级水库和彭水水库。此外,敏感性分析发现,在模型涉及的参...     

Effects of climate and land-use change on green-water variations in the Middle Yellow River,China

Abstract

Water resources management should cover both blue water and green water. For green-water management at the river drainage basin scale, the green-water coefficient (C _gw) is adopted, defined as the ratio of annual green water to annual precipitation. Based on data from the Middle Yellow River basin, China, for the period 1950 to 2007, we studied the temporal variation in C _gw in response to some influencing factors. A decreasing trend in C _gw was found. The influence of changes in land management on C _gw, reflected by an increase in the area (A _sw) of soil and water conservation measures, is emphasized. Using multiple regression analysis, the contributions of A _sw and the 5-year moving averages of annual precipitation and air temperature were estimated as 51, 37 and 12%, respectively. The results may provide useful information for better management of water resources, including green and blue water flows in the Yellow River basin.

Editor Z.W. Kundzewicz; Associate editor D. Gerten

Citation Xu, J.-X., 2013. Effects of climate and land-use change on green-water variations in the Middle Yellow River, China. Hydrological Sciences Journal, 58 (1), 1–12.     

Impacts of climate change and hydraulic structures on runoff and sediment discharge in the middle Yellow River

Due to climate change and its aggravation by human activities (e.g. hydraulic structures) over the past several decades, the hydrological conditions in the middle Yellow River have markedly changed, leading to a sharp decrease in runoff and sediment discharge. This paper focused on the impacts of climate change and hydraulic structures on runoff and sediment discharge, and the study area was located in the 3246 km² Huangfuchuan (HFC) River basin. Changes in annual runoff and sediment discharge were initially analysed by using the Mann–Kendall trend test and Pettitt change point test methods. Subsequently, periods of natural and disturbed states were defined. The results showed that both the annual runoff and sediment discharge presented statistically significant decreasing trends. However, compared with the less remarkable decline in annual rainfall, it was inferred that hydraulic structures might be another important cause for the sharp decrease in runoff and sediment discharge in this region. Consequently, sediment‐trapping dams (STDs, a type of large‐sized check dam used to prevent sediment from entering the Yellow River main stem) were considered in this study. Through evaluating the impacts of the variation in rainfall patterns (i.e. amount and intensity) and the STD construction, a positive correlation between rainfall intensity and current STD construction was found. This paper revealed that future soil and water conservation measures should focus on areas with higher average annual rainfall and more rainstorm hours. Copyright © 2015 John Wiley & Sons, Ltd.