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1.
1961-2003年间鄱阳湖流域气候变化趋势及突变分析 总被引：21，自引：2，他引：19
本文利用1961-2003年间鄱阳湖流域14个气象站的气温、降水量、蒸发量等观测数据和8个主要水文站的流量数据,研究该时段内鄱阳湖流域的气候变化趋势、突变及其空间分布的差异．研究表明,鄱阳潮流域气温和降水均在1990年发生突变,继而呈现显著的上升趋势;在季节变化上,冬季平均气温在1986年发生突变,增温显著;夏季降水量和夏季暴雨频率均在1992年发生突变增加,暴雨频率增加是夏季降水量增加的主要原因;蒸发皿蒸发量和参照蒸散量均呈现显著下降趋势,该变化在夏季尤为明显．上述变化趋势均以1990s最为显著,这与长江流域气候变化趋势基本一致．在空间分布上,饶河水系、信江水系和赣江下游等气候变化更为显著．笔者认为,鄱阳湖流域气候变化在长江流域中比较突出．该流域1990s暖湿气候在加强;气温的升高、降水量和暴雨频率的增加以及蒸发量的下降强化了五河流量的增加趋势,由此可大致判定鄱阳湖流域气候变化与洪涝灾害之间可能存在的关系,这可为理解气候变化在该流域的响应和预测该流域未来可能的洪涝灾害提供依据． 相似文献
2.
1990s长江流域降水趋势分析 总被引：2，自引：0，他引：2
依据国家气象局提供的实测月降水和日降水资料,运用Mann-Kendall(M-K)非参数检验法验证了降水趋势,并通过空间插补法,由点扩展到面,分析了1990s长江流域降水变化特征,发现1990s长江流域降水变化以降水在时间和空间分布上的集中度的增加为主要特点:时间上,年降水的增加趋势以冬季1月和夏季6月降水的集中增加为主;一日降水量大于等于50mm的暴雨日数和暴雨量在1990s也有了较明显的增加.空间上,年降水、夏季降水、冬季降水的增加都以中下游区的增加为主,尤其以鄱阳湖水系、洞庭湖水系的降水增加为主.1990s长江流域春季和秋季降水的减少以5月和9月两个汛期月份的降水减少为主,除金沙江水系和洞庭湖水系等少数地区外,流域大部分地区降水呈减少趋势.上述1990s出现的降水趋势明显与近年来全球变暖背景下长江流域各地区不同的温度及水循环变异有关. 相似文献
3.
长江流域近50年降水变化及其对干流洪水的影响 总被引：1，自引：0，他引：1
根据我国长江流域气象观测站近42年的资料,分析了整个流域年和季节平均面雨量、暴雨日数和暴雨量的变化特征,以及降水对流域径流和洪水的影响.长江流域年和夏季平均面雨量存在明显的年际和年代变化特征,也表现出比较显著的趋势变化特点.大部分测站年平均面雨量呈增加趋势,夏季和冬季平均面雨量的增加趋势尤其明显;秋季平均面雨量呈显著下降趋势.同时,年和夏季暴雨日数和暴雨量也在较大范围内呈显著增加趋势.长江流域的降水对干流平均流量具有重要影响.1973年、1983年和1998年的洪水主要是由明显高于平均的流域面雨量引起的;长江下游平均流量变化趋势也同流域年平均面雨量、夏季平均面雨量变化趋势基本一致,特别是70年代末以来,下游平均流量和流域面雨量的上升趋势更加明显,并同时在1998年达到最高值.长江流域大的丰水年一般对应El Nino年或El Nino次年,表明E1 Nino对长江较大洪水可能具有一定影响. 相似文献
4.
人工神经网络模型预测气候变化对博斯腾湖流域径流影响 总被引：9，自引：3，他引：6
温室气体排放量增加造成气候变化,对全球资源环境产生重要影响．本文利用人工神经网络模型建立月降水、气温与径流关系,利用开都河流域降水、气温、径流资料对模型进行训练和验证,通过试算法确定网络模型结构,气温升高和降水量增加对径流影响的敏感程度分析表明,气温升高和降水增加对该区域径流影响较大,且气温升高的影响更为显著,径流增加主要集中在夏季,根据区域气候模型（RCMs）推算的CO2加倍情况下西北地区气候的可能变化,预测位于博斯腾湖流域的开都河大山口站年径流量增加38．6％,其中夏季增加71．8％,冬季增加11．4％。 相似文献
5.
表层水温是影响湖泊水生生态系统的关键因素,研究其对气候变化的响应过程及机制是评估湖泊生态环境可持续发展的重要切入点。本文针对水温的长期演变趋势问题,基于实测水文气象数据,采用Air2water数据驱动模型重构洞庭湖长序列水温资料,研究湖泊表层水温在气象条件驱动下的演变特征,为湖泊生态环境监测、水安全保障和综合治理等提供理论依据。主要结论有：（1）尽管Air2water数据驱动模型以常微分方程的简化形式概化湖泊热力学过程,但可较准确地反演水温的变化趋势。根据长序列实测气温资料重构的1973 2020年洞庭湖日均水温序列具有较高的可信度。（2）1973 2020年,洞庭湖水温年内变化具有显著的上升期和下降期,且降温过程较升温快。在气候变暖背景下,年均水温呈现持续的波动性上升趋势,且1996年发生突变后上升趋势更为显著,其中城陵矶站和南咀站年均水温的上升率分别达到0.20和0.16℃/10 a。1996年洞庭湖流域的突变式增温主要是由冷季的显著增暖过程驱动。（3）采用广义单位线法建立水温气温之间的耦合关系,水温随气温上升的速率先增大至极大值后逐渐减缓。1996年水温发生突变后,水温随气温的变... 相似文献
6.
基于遥感的鄱阳湖湖区蒸散特征及环境要素影响 总被引：1，自引：0，他引：1
蒸散是湖泊湿地生态系统水循环的重要组成部分,研究湖区地表蒸散量的时空变化对了解鄱阳湖湖区水量平衡关系具有重要意义.本研究基于MODIS数据,应用地面温度-植被指数三角关系法反演2000-2009年鄱阳湖湖区的实际蒸散量,分析湖区蒸散的时空分布特征及主要气象因子对流域蒸散的影响.结果表明:2000-2009年鄱阳湖湖区年蒸散量在685~921 mm之间,平均年蒸散量为797 mm,最大蒸散量出现在2004年.2000-2009年多年平均水体蒸发量为1107 mm,高于湖区植被蒸散量(774 mm).湖区汇水区域中蒸散量占降水的平均比例为55%,是水量平衡的主要支出项,径流系数约为0.45.湖区蒸散主要受辐射和气温的影响,月蒸散量与气温呈显著的指数相关,2007年蒸散量对温度的关系最为敏感.降水量距平与蒸散量距平的关系除2007年呈显著负相关外,其他年份相关性不显著.鄱阳湖湿地蒸散与湖泊水域面积总体呈正相关,但在水文干旱严重的2006年,当水域面积<30%时,蒸散速率随水域面积增加而减小. 相似文献
7.
陆面蒸散对气候变化的影响 总被引：24，自引：0，他引：24
利用含有较真实的陆面过程的GOALS/LASG陆气耦合模式, 分别进行亚洲/北美洲陆面蒸散的敏感性试验来研究陆地与大气环流的相互作用. 模拟结果表明：模式气候对地表蒸散的变化是极其敏感的. 尤其是亚洲地表蒸散的变化将引起极为显著的气候效应, 若地表无蒸散将使气候在一定程度上变暖变干; 此外, 陆面蒸散的异常还通过季风降水的变化和 β 效应进一步影响副热带高压的形成和变异; 进而造成北半球甚至全球大气环流发生显著变化. 因此, 除了传统观点使人们很重视副热带高压活动对我国东部大陆夏季降水的影响以外, 陆面蒸散的异常通过季风降水的变化也会对副热带高压的活动产生明显影响. 由此, 夏季陆面蒸散及其水汽相变所致的大气内热源的变化是影响天气和气候的一个重要外强迫. 相似文献
8.
博斯腾湖水盐动态变化(1951-2011年)及对气候变化的响应 总被引：5，自引：1，他引：4
分析了1951-2011年博斯腾湖历史水位和湖水矿化度的动态变化特征,解析了博斯腾湖水量与水质对气候变化的响应及未来变化趋势.结果表明,博斯腾湖水位在60年内经历了两个突变时期,突变时间分别为1974年和1994年,湖水矿化度也相应地呈现了三个动态变化阶段,水量与水位呈极显著负相关,但水质变化滞后于水位变化1年;流域气温呈显著增加趋势,气温升高的突变时间为1993年,与开都河出山口径流突变时间一致,但降水变化不显著;1993年前,博斯腾湖水量主要受气温和人类活动双重影响,1993年后博斯腾湖水量主要受气温的显著影响,气温主要通过改变入湖水量及湖区蒸发损耗来调控湖泊水位和水质;未来气温持续升高情景下,博斯腾湖水位将面临降低趋势,水质也将有恶化趋势.因此,为合理开发利用博斯腾湖水资源,减少水资源无效损耗,抑制水质恶化趋势,确保流域可持续发展,建议将博斯腾湖调水时间集中在5-9月,并严格控制孔雀河流域工农业用水量及工农业、生活污染源,减少污水排放量,减少周边地下水开发量. 相似文献
9.
太湖北岸湖滨带观测场水生植物群落特征及其影响因素分析 总被引：7，自引：1，他引：6
研究了鄱阳湖流域在1955-2002年间的径流系数的变化,重点分析了它与水循环的两个基本要素:降水量和蒸发量的关系,同时对其原因进行了初步的探讨.经分析,在鄱阳湖流域中,径流系数较大的是饶河流域和信江流域,较小的是抚河流域;在年内变化上,4-6月为五河流域径流系数比较大的月份,这与鄱阳湖流域降水集中期相对应.在空间上,4-6月仍然以饶河流域和信江流域相对较大,而抚河流域较小,特别是8月份的径流系数远小于其他四河;年代际变化上,1990s径流系数增加较为显著.尽管鄱阳湖流域的径流系数除了受气候因子的影响外,还受到水土流失和地形等因素的影响,但是降水量的增加,特别是暴雨频率的增加仍然是其主要影响因素,蒸发量的减小对径流系数的增加也有一定程度的影响.径流系数与气温并无明显的线性相关关系. 相似文献
10.
近40a西藏羊卓雍错湖泊面积变化遥感分析 总被引：11，自引：8，他引：3
羊卓雍错(以下简称羊湖)作为西藏高原三大圣湖之一和藏南重要的高原特色风景旅游景区,其具体面积众说纷纭.本文利用遥感和地理信息空间分析方法对1972-2010年羊湖面积变化进行了系统研究,并结合流域气象站资料对其原因进行初步分析.结果表明,1972-2010年湖泊平均面积为643.98 km2.1972-2010年羊湖面积呈波动式减少趋势,其中,1970s平均面积为658.78 km2,之后至1999年面积显著减少;1980s面积为636.55 km2;1990s为635.06 km2;1999-2004年面积有所增加;2004-2010年持续缩小,减幅为8.59 km2/a.湖泊空间变化特点是除了空母错和珍错两个小湖面积变化较小之外,羊湖整体面积呈现萎缩态势,其中东部嘎马林曲入口附近退缩程度最大,达1.62 km.流域气象站资料分析表明,湖泊面积和降水的变化波动存在显著耦合关系,降水变化是羊湖面积变化的主要原因;其次,流域蒸发量的明显增加,特别是2004年来连续较高的蒸发量是导致近期面积显著减少的重要原因,气温的升高进一步加剧了这一过程.羊湖的面积变化基本反映了西藏高原南部半干早季风气候区以降水补给为主的高原内陆湖泊对气候变化的响应. 相似文献
11.
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. 相似文献
12.
ABSTRACTWith global climate change and impacts of human activity, the water cycle, which has a close relationship with local water resources, has changed rapidly. Based on different greenhouse gas emission scenarios, five relatively independent global climate models are selected from 47 CMIP5 models to simulate future climatic conditions. Data are downscaled to the local projection, with bias neutralized before applying them to the hydrological models, by which availability of future water resources are calculated for the Dongting Lake basin. The results show that the water resources of the Dongting Lake basin are likely to increase in the future, but be distributed more unevenly. All scenarios indicate that water availability will increase during the flood season and decrease during the dry season, with a prominent increase in annual discharge. The scenarios also predict that the greater the greenhouse gas emissions, the more uneven the water distribution becomes. Overall, the water resources of the Dongting Lake catchment show the same increasing and unevenly distributed trend in the future, which could be further accelerated by human activities.
Editor Z.W. Kundzewicz; Associate editor Q. Zhang 相似文献
13.
Evaluation of impacts of climate change and human activities on streamflow in the Poyang Lake basin,China 总被引：3，自引：0，他引：3 
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下载免费PDF全文 Variations in streamflows of five tributaries of the Poyang Lake basin, China, because of the influence of human activities and climate change were evaluated using the Australia Water Balance Model and multivariate regression. Results indicated that multiple regression models were appropriate with precipitation, potential evapotranspiration of the current month, and precipitation of the last month as explanatory variables. The NASH coefficient for the Australia Water Balance Model was larger than 0.842, indicating satisfactory simulation of streamflow of the Poyang Lake basin. Comparison indicated that the sensitivity method could not exclude the benchmark‐period human influence, and the human influence on streamflow changes was overestimated. Generally, contributions of human activities and climate change to streamflow changes were 73.2% and 26.8% respectively. However, human‐induced and climate‐induced influences on streamflow were different in different river basins. Specifically, climate change was found to be the major driving factor for the increase of streamflow within the Rao, Xin, and Gan River basins; however, human activity was the principal driving factor for the increase of streamflow of the Xiu River basin and also for the decrease of streamflow of the Fu River basin. Meanwhile, impacts of human activities and climate change on streamflow variations were distinctly different at different temporal scales. At the annual time scale, the increase of streamflow was largely because of climate change and human activities during the 1970s–1990s and the decrease of streamflow during the 2000s. At the seasonal scale, climate change was the main factor behind the increase of streamflow in the spring and summer season. Human activities increase the streamflow in autumn and winter, but decrease the streamflow in spring. At the monthly scale, different influences of climate change and human activities were detected. Climate change was the main factor behind the decrease of streamflow during May to June and human activities behind the decrease of streamflow during February to May. Results of this study can provide a theoretical basis for basin‐scale water resources management under the influence of climate change and human activities. Copyright © 2016 John Wiley & Sons, Ltd. 相似文献
14.
洞庭湖是长江中游重要的通江湖泊,水系格局复杂.近年来在气候变化和人类活动的双重影响下,江湖关系发生变化,湖泊水文干旱事件频发.基于洞庭湖、流域和长江干流水文站点的实测数据,通过标准化水位指数和标准化径流指数识别了水文干旱事件,并运用Copula函数分析了洞庭湖-流域-长江系统水文干旱的联合概率分布特征.结果表明:在年尺度上,1964—2016年间洞庭湖共发生了9次水文干旱事件,水文干旱的发生概率为14.01%,洞庭湖-流域系统、洞庭湖-长江系统的水文干旱联合概率分别为9.65%和8.58%,表明年尺度上流域来水对洞庭湖水文干旱的影响更大.在季节尺度上,洞庭湖-流域系统春季水文干旱联合概率最高,且两者同时发生水文干旱事件的次数最多,表明洞庭湖春季水文干旱与流域入湖补给减少有密切关系;而洞庭湖-长江系统,其秋季水文干旱联合概率最大,尤其自2003年以后更加极端和频发,这一方面受秋季降水减少和流域内人类活动的影响,另一方面三峡水库秋季蓄水使长江中下游干流水位降低,长江对湖泊顶托作用减弱也是重要原因之一. 相似文献
15.
三峡工程运行前后洞庭湖水质变化分析 总被引：2，自引：1，他引：1
为了解三峡工程运行前后洞庭湖水质变化,基于1996 2013年洞庭湖水质监测数据,采用内梅罗污染指数(IP)法对三峡工程运行前后洞庭湖水质进行评价,并对洞庭湖水质与主要污染物的时空变化特征进行分析.结果表明,1996 2013年洞庭湖IP值在1.10~2.20之间,平均值为1.63,水质属轻污染~污染,总体变化平稳,但从2010年起,洞庭湖IP值连续低于其多年平均值,总体水质趋好;主要污染物为总磷和总氮,总磷浓度变化平稳,总氮浓度则呈显著上升趋势.与三峡工程运行前相比,三峡工程运行后洞庭湖全年和汛期总氮浓度以及南洞庭湖IP值和总氮浓度显著升高,南洞庭湖水质显著恶化.洞庭湖IP值和总磷浓度的水期分布格局均由三峡工程运行前的汛期非汛期变化为三峡工程运行后的非汛期汛期,其空间分布格局均由三峡工程运行前的西洞庭湖东洞庭湖南洞庭湖变化为三峡工程运行后的西洞庭湖南洞庭湖东洞庭湖;从2010年起,洞庭湖IP值的空间分布格局发生新的变化,其大小顺序变化为东洞庭湖南洞庭湖西洞庭湖.三峡工程运行前后洞庭湖IP值与总磷浓度的时空变化与其水沙条件变化有关,总氮浓度的空间分布受三峡工程运行影响较小,主要受湘江、资水等"四水"流域氮污染的影响. 相似文献
16.
A case study on the responses of streamflow to climate change in the Toutun River basin was carried out based on data analysis of streamflow, precipitation, and temperatures during the past 50 years.Temporal series of the streamflow change in the Toutun River basin was analyzed and tested using the Mann-Kendall nonparametric test. Results revealed that the annual runoff of the Toutun River had been in a monotonic decreasing trend for the past 50 years. Compared with the 1950s and 1960s, the annual runoff in the 1990s decreased by 4.0×105 m3 and 7.2×105 m3. The precipitation did not show monotonic trend during the past 50 years, but the annual temperature increased by 1.12℃ since the 1950s. Further data analysis indicated that the monthly runoff of the Toutun River decreased significantly from August to October, with precipitation displaying the similar pattern of seasonal change. Analysis suggests that the reduction of streamflow in the Toutun River basin is possibly caused by the seasonal change of precipitation, especially the precipitation reduction in summer, and temperature increases. 相似文献
17.
Yongqin David Chen Qiang Zhang Xiaohong Chen Ping Wang 《Stochastic Environmental Research and Risk Assessment (SERRA)》2012,26(2):235-246
The Pearl River basin bears the heavy responsibility for the water supply for the neighboring cities such as Macau, Hong Kong
and others. Therefore, effective water resource management is crucial for sustainable use of water resource. However, good
knowledge of changing properties of streamflow changes is the first step into the effective water resource management. With
this in mind, stability and variability of streamflow changes in the Pearl River basin is thoroughly analyzed based on monthly
streamflow data covering last half century using Mann–Kendall trend test and scanning t- and F-test techniques. The results indicate: (1) significant increasing monthly streamflow is observed mainly in January–April,
June and October–December. Monthly streamflow during May–September is in not significant changes. Besides, stations characterized
by significant monthly streamflow changes are located in the middle and the lower Pearl River basin; (2) changing points of
monthly streamflow series are detected mainly during mid-1960s, early 1970s, mid-1970s, early 1980s and early 1990s and these
periods are roughly in good agreement with those of annual, winter and summer precipitation across the Pearl River basin,
implying tremendous influences of precipitation changes on streamflow variations; (3) abrupt behaviors tend to be ambiguous
from the upper to the lower Pearl River basin, which should be due to enhancing combined effects of abrupt changes of precipitation.
The streamflow comes to be lower stability in recent decades. However, high stability of streamflow changes are observed at
hydrological stations in the lower Pearl River basin. The results of this study will be of great scientific and practical
merits in terms of effective water resource management in the Pearl River basin under the influences of climate changes and
human activities. 相似文献
18.
Response of streamflow to climate change and human activity in Xitiaoxi river basin in China 下载免费PDF全文
下载免费PDF全文 In recent years, the Xitiaoxi river basin in China has experienced intensified human activity, including city expansion and increased water demand. Climate change also has influenced streamflow. Assessing the impact of climate variability and human activity on hydrological processes is important for water resources planning and management and for the sustainable development of eco‐environmental systems. The non‐parametric Mann–Kendall test was employed to detect the trends of climatic and hydrological variables. The Mann–Kendall–Sneyers test and the moving t‐test were used to locate any abrupt change of annual streamflow. A runoff model, driven by precipitation and potential evapotranspiration, was employed to assess the impact of climate change on streamflow. A significant downward trend was detected for annual streamflow from 1975 to 2009, and an abrupt change occurred in 1999, which was consistent with the change detected by the double mass curve test between streamflow and precipitation. The annual precipitation decreased slightly, but upward trends of annual mean temperature and potential evapotranspiration were significant. The annual streamflow during the period 1999–2009 decreased by 26.19% compared with the reference stage, 1975–1998. Climate change was estimated to be responsible for 42.8% of the total reduction in annual streamflow, and human activity accounted for 57.2%. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献