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贵州蒸发皿蒸发量变化趋势及影响因素分析 总被引：4，自引：0，他引：4
以贵州境内18个气象站1961-2001年逐日气象观测数据为基础,采用Mann-Kendal非参数检验方法、相关分析和主成分分析方法对贵州近41年来蒸发皿蒸发量及其主要影响因子(太阳净辐射、气温、相对湿度和风速等)进行了相关性及趋势性分析.结果表明:近41年来,贵州年平均蒸发皿蒸发量呈显著下降趋势,通过99%的置信度检验,蒸发量的下降主要表现在冬、春、夏三季.从区域分布来看,蒸发皿蒸发量整体上东部及西北部分地区显著减少,其他地区趋势变化不明显.蒸发皿蒸发量下降的主要原因是太阳净辐射的显著下降. 相似文献
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青海湖流域及周边地区蒸发皿蒸发量变化(1961-2007年)及趋势分析 总被引：3，自引：1，他引：2
采用单调趋势的非参数统计检验Mann-Kendall(M-K)法和灰色关联分析方法对青海湖流域及周边地区1961-2007年20cm小型蒸发皿蒸发量及其影响气候因子的变化趋势进行了分析.结果表明,近47a来青海湖流域及周边地区的蒸发皿蒸发量平均每年减少4.47mm,各季节的蒸发皿蒸发量除秋季变化不显著外,其它各季以0.55-1.83mm/a的速率减小,其中春季减幅最大,其次是夏季,冬季减幅最小;日照时数的减少导致了气温日较差变小和空气饱和差的减小,是造成该研究区域蒸发皿蒸发量减小的主要原因. 相似文献
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依据边界层梯度输送理论和能量守恒原理分析了蒸发皿蒸发量的物理意义,蒸发皿蒸发量是多环境因子共同非线性相互作用的结果,并利用我国有长期太阳辐射观测的62个常规气象站观测资料,通过蒸发皿蒸发量与环境气象因子的相关分析对其进行了验证. 分析了近40年蒸发皿蒸发量和环境气象因子的变化趋势,分析结果也表明只利用单个环境因子的变化来解释蒸发皿蒸发量的气候变化会产生偏颇,譬如将蒸发皿蒸发量的逐年减少归因于地表接收的太阳辐射减少的解释在中国东部比在中国西部较合理. 分析1983～2001年间国际卫星云气候计划观测的资料得出,我国大部分地区的总云量保持微小的减少趋势而总云水路径处于明显的增加趋势,这表明云变得更不透明了,它的物理属性发生了明显的变化;预示着大气可降水量有逐年增加的趋势, 地气系统变得更湿润. 结合水循环过程,利用大气环流模式用数值方法证明地气系统的水汽变化能引起陆地近地层大气相对湿度、地表接收的太阳总辐射和地表潜在蒸发量的明显变化. 相似文献
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近30 a云贵高原湖泊表面水体面积变化遥感监测与时空分析 总被引：3，自引：0，他引：3
以云贵高原湖泊近30 a来的TM、ETM~+和OLI遥感影像为数据源,采用归一化水体指数(NDWI)、改进归一化水体指数(MNDWI)、新型水体指数(NWI)、增强型水体指数(EWI)和自动水体提取指数5种水体指数提取了1985—2015年云贵高原10个湖泊表面水体面积,并对各种算法进行精度对比分析.针对湖泊各自特点采用不同的水体指数提取其表面水体面积,并进行水体面积变化时空分析.结果表明:云贵高原湖泊表面水体面积总体呈现先增加后缩减趋势,1985—1995年湖泊表面水体面积增加了30.86 km~2,1995—2015年湖泊水体表面面积减少了48.12 km~2,其中,面积变化最大的是杞麓湖与异龙湖.对云贵高原湖泊表面水体面积变化与该区域的年降水量、蒸发量、平均气温、流域植被覆盖面积和人类活动时空进行相关分析,结果表明:1)高原湖泊对区域气候变化的响应具有明显的空间差异性,云贵高原湖泊的表面水体面积与气候相关性较显著,气温升高引起蒸发加速,降水量下降,湖面不断缩小,与逐年上升的气温呈负相关,与逐年波动上升的蒸发量呈负相关,与逐年减少的降水量呈正相关;2)云贵高原湖泊各流域的植被覆盖面积与湖泊面积变化相关性较弱;3)人类活动是影响湖泊面积变化的重要因素,大肆围湖造田、围湖养殖以及旅游开发等人类活动直接导致云贵高原湖泊面积的锐减,并对湖泊生态环境产生重要影响. 相似文献
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鄱阳湖夏季水面蒸发与蒸发皿蒸发的比较 总被引：3，自引：1，他引：2
水面蒸发是湖泊水量平衡要素的重要组成部分.基于传统蒸发皿观测蒸发不能代表实际水面蒸发,而实际水面蒸发特征仍不清楚.本研究基于涡度相关系统观测的鄱阳湖水体实际水面蒸发过程,在小时和日尺度分析了水面蒸发的变化规律及其主要影响因子,并与蒸发皿蒸发进行比较.研究表明,实际水面蒸发日变化波动剧烈,变化范围在0~0.4 mm/h之间.水面蒸发的日变化特征主要受风速的影响.鄱阳湖8月份日水面蒸发量与蒸发皿蒸发量在总体趋势上具有很好的一致性.8月份平均日水面蒸发速率(5.90 mm/d)比蒸发皿蒸发速率(5.65 mm/d)高4.6%.水面日蒸发量与蒸发皿蒸发量的比值在8月上、中、下旬平均值分别为1.24、1.00、0.92,呈现下降的趋势.鄱阳湖夏季水面日蒸发量与风速和相对湿度相关性显著,而蒸发皿蒸发与净辐射、气温、饱和水汽压差和相对湿度均呈显著相关.这是由于蒸发皿水体容积小,与湖泊相比其水体热存储能力小,因此更容易受到环境因子的影响. 相似文献
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本文以能量守恒原理和边界层梯度输送理论为基础,应用Monin-Obukhov相似函数计算蒸发皿水面感、潜热通量,参数化蒸发皿侧壁热传输能量,建立了一个单层的20 cm蒸发皿蒸发模型.之后利用"古浪非均匀近地层观测试验"中连续14天观测的每小时20 cm蒸发皿数据对所建模型进行检验.研究分析结果表明:模型能够很好地反映蒸发皿水面与地表之间所形成的非均匀性,合理地概括蒸发皿与周围环境之间的相互作用和蒸发皿蒸发的物理过程.另外,模型成功模拟了蒸发皿蒸发的日变化过程,模拟的日蒸发量均方根误差(RMSE)和平均相对误差(MRER)分别为0.44 mm·d-1和3.7%,日蒸发量观测值与模拟值的相关系数为0.998. 相似文献
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黄河与长江流域水资源变化原因 总被引：3，自引：0，他引：3
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. 相似文献
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2000年以来青藏高原湖泊面积变化与气候要素的响应关系 总被引：1，自引：0，他引：1
青藏高原星罗密布的湖泊对气候变化十分敏感,在自然界水循环和水平衡中发挥着重要作用.以MODIS MOD09A1和SRTM DEM为数据源,提取了2000-2016年青藏高原丰水期面积大于50 km2的湖泊边界,从内外流分区、湖泊主要补给来源和湖水矿化度三个方面对2000年以来湖泊面积变化进行分析,并结合青藏高原近36年气象数据,根据气象要素变化趋势分区,初步探讨青藏高原湖泊面积变化与气候要素的关系.结果表明：青藏高原面积大于50 km2的138个湖泊整体扩张趋势显著,总面积增加2340.67 km2,增长率为235.52 km2/a.其中,扩张型湖泊占67.39%,萎缩型湖泊占12.32%,稳定型湖泊占20.29%.内流湖扩张趋势显著,外流湖扩张趋势较明显;以冰雪融水为主要补给来源的湖泊整体扩张趋势明显,以地表径流和河流补给为主要补给源的湖泊也呈扩张趋势;盐湖和咸水湖以扩张为主,淡水湖的扩张、萎缩和稳定三种类型较均衡.在青藏高原气候暖湿化方向发展背景下,湖泊面积变化与气候要素具有显著的区域相关性.气温和降水变化趋势分区结果表明,气温增加、降水增加强趋势的高原Ⅰ区湖泊扩张程度（78.18%）依次大于气温降低、降水量呈增加趋势的Ⅴ区（66.67%）,气温、降水量呈增加趋势的Ⅱ区（60.78%）,气温呈降低、降水量呈增加强趋势的Ⅳ区（58.83%）和气温呈增加、降水量呈减少趋势的Ⅲ区（50.00%）.湖泊面积变化对气候变化响应研究表明,升温引起的冰雪融水补给对Ⅰ区、Ⅱ区和Ⅲ区湖泊面积扩张的影响显著,加之降水量的增加,湖泊扩张速率明显;Ⅳ区和Ⅴ区湖泊面积扩张主要受降水量增加影响显著.整体而言,气温主要影响以冰雪融水为主要补给来源的湖泊,降水量主要影响以降水和地表径流为主要补给来源的湖泊. 相似文献
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《水文科学杂志》2013,58(6)
Abstract Abstract Evaporation is one of the fundamental elements in the hydrological cycle, which affects the yield of river basins, the capacity of reservoirs, the consumptive use of water by crops and the yield of underground supplies. In general, there are two approaches in the evaporation estimation, namely, direct and indirect. The indirect methods such as the Penman and Priestley-Taylor methods are based on meteorological variables, whereas the direct methods include the class A pan evaporation measurement as well as others such as class GGI-3000 pan and class U pan. The major difficulty in using a class A pan for the direct measurements arises because of the subsequent application of coefficients based on the measurements from a small tank to large bodies of open water. Such difficulties can be accommodated by fuzzy logic reasoning and models as alternative approaches to classical evaporation estimation formulations were applied to Lake Egirdir in the western part of Turkey. This study has three objectives: to develop fuzzy models for daily pan evaporation estimation from measured meteorological data, to compare the fuzzy models with the widely-used Penman method, and finally to evaluate the potential of fuzzy models in such applications. Among the measured meteorological variables used to implement the models of daily pan evaporation prediction are the daily observations of air and water temperatures, sunshine hours, solar radiation, air pressure, relative humidity and wind speed. Comparison of the classical and fuzzy logic models shows a better agreement between the fuzzy model estimations and measurements of daily pan evaporation than the Penman method. 相似文献
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Snowmelt water is a vital freshwater resource in the Altai Mountains of northwestern China. Yet its seasonal hydrological cycle characteristics could change under a warming climate and more rapid spring snowmelt. Here, we simulated snowmelt runoff dynamics in the Kayiertesi River catchment, from 2000 to 2016, by using an improved hydrological distribution model that relied on high-resolution meteorological data acquired from the National Centers for Environmental Prediction (Fnl-NCEP) that were downscaled using the Weather Research Forecasting model. Its predictions were compared to observed runoff data, which confirmed the simulations' reliability. Our results show the model performed well, in general, given its daily validation Nash–Sutcliffe efficiency (NSE) of 0.62 (from 2013 to 2015) and a monthly NSE score of 0.68 (from 2000 to 2010) for the studied river basin of the Altai Mountains. In this river basin catchment, snowfall accounted for 64.1% of its precipitation and snow evaporation for 49.8% of its total evaporation, while snowmelt runoff constituted 29.3% of the annual runoff volume. Snowmelt's contribution to runoff in the Altai Mountains can extend into non-snow days because of the snowmelt water retained in soils. From 2000 to 2016, the snow-to-rain ratio decreased rapidly, however, the snowmelt contribution remained relatively stable in the study region. Our findings provide a sound basis for making snowmelt runoff predictions, which could be used prevent snowmelt-induced flooding, as well as a generalizable approach applicable to other remote, high-elevation locations where high-density, long-term observational data are currently lacking. How snowmelt contributes to water dynamics and resources in cold regions is garnering greater attention. Our proposed model is thus timely perhaps, enabling more comprehensive assessments of snowmelt contributions to hydrological processes in those alpine regions characterized by seasonal snow cover. 相似文献
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Abstract Evaporation is an important reference for managers of water resources. This study proposes a hybrid model (BD) that combines back-propagation neural networks (BPNN) and dynamic factor analysis (DFA) to simultaneously precisely estimate pan evaporation at multiple meteorological stations in northern Taiwan through incorporating a large number of meteorological data sets into the estimation process. The DFA is first used to extract key meteorological factors that are highly related to pan evaporation and to establish the common trend of pan evaporation among meteorological stations. The BPNN is then trained to estimate pan evaporation with the inputs of the key meteorological factors and evaporation estimates given by the DFA. The BD model successfully inherits the advantages from the DFA and BPNN, and effectively enhances its generalization ability and estimation accuracy. The results demonstrate that the proposed BD model has good reliability and applicability in simultaneously estimating pan evaporation for multiple meteorological stations. Citation Chang, F.J., Sun, W., and Chung, C.H., 2013. Dynamic factor analysis and artificial neural network for estimating pan evaporation at multiple stations in northern Taiwan. Hydrological Sciences Journal, 58 (4), 813–825. 相似文献
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Tracing contributions to hydro‐isotopic differences between two adjacent lakes in the southern Tibetan Plateau 
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下载免费PDF全文 Hydrological processes of lakes in the Tibetan Plateau are an important indicator of climate change. Due to the high elevation, inaccessibility and limited availability of historical observations, water budget evaluation of typical lake basins has been inadequate. In this study, stable isotopes are used to trace the multiple water sources contributing to two adjacent lakes on the north slope of the Himalayas, Gongmo‐tso and Drem‐tso. The two lakes have nearly the same elevation, lake area and climatic condition. However, the isotopic composition of the two lakes presents significant differences. Qualitative observations attribute the differences to hydrological discrepancies: Gongmo‐tso is a through‐flow lake, whereas Drem‐tso is a terminal lake. Quantitative analyses, including water and isotope mass balance modelling, clarify the fluxes and isotopic compositions among the various hydrological elements. The isotopic composition of input water, calculated as the summation of rainfall and upstream runoff, is estimated using the local meteoric water line (LMWL) combined with the time series of lake water isotope values. The isotopic composition of evaporation is calculated with a linear resistance model using local meteorological data. The results show that Drem‐tso is a closed lake in a hydrological steady state with relatively more enriched lake water isotope values resulting mainly from evaporation. In contrast, through‐flow accounts for more than 88% of the water input into Gongmo‐tso. The large amount of upstream runoff with lower isotopic composition and enrichment due to evaporation are the major contributions to the observed lake water isotope values. Isotopic modelling of the two neighbouring lakes is effective for isotopic and hydrological research in this region with limited in situ observations. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
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Observed rainfall and flow data from the Dongjiang River basin in humid southern China were used to investigate runoff changes during low‐flow and flooding periods and in annual flows over the past 45 years. We first applied the non‐parametric Mann–Kendall rank statistic method to analyze the change trend in precipitation, surface runoff and pan evaporation in those three periods. Findings showed that only the surface runoff in the low‐flow period increased significantly, which was due to a combination of increased precipitation and decreased pan evaporation. The Pettitt–Mann–Whitney statistical test results showed that 1973 and 1978 were the change points for the low‐flow period runoff in the Boluo sub‐catchment and in the Qilinzui sub‐catchment, respectively. Most importantly, we have developed a framework to separate the effects of climate change and human activities on the changes in surface runoff based on the back‐propagation artificial neural network (BP‐ANN) method from this research. Analyses from this study indicated that climate variabilities such as changes in precipitation and evaporation, and human activities such as reservoir operations, each accounted for about 50% of the runoff change in the low‐flow period in the study basin. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献
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JingBo Zhao YanDong Ma XiaoQing Luo DaPeng Yue TianJie Shao ZhiBao Dong 《中国科学:地球科学(英文版)》2017,60(4):707-719
The Badain Jaran Desert exhibits the greatest difference in altitude of all of the world’s deserts. On the slopes of megadunes in the desert, there are physical and chemical deposits produced by surface runoff. In addition, we have observed rarely-seen infiltration-excess surface runoff in the megadune depressions as well as spring streams at the base of megadunes. We used electron microscopy, energy spectrum analysis, infiltration experiments, moisture content determinations and grain-size analysis to study the mineral and chemical composition of the runoff precipitates, and grain-size of the deposits associated with the runoff, together with the hydrological balance in the megadune area, and the atmospheric precipitation mechanism responsible for groundwater recharge and for supplying water to lakes. The observations of shallow runoff and infiltration-excess surface runoff indicate the occurrence of strong and effective precipitation in summer, which would provide an important source for groundwater recharge. Several lines of evidence, such as the physical and chemical deposits resulting from shallow subsurface runoff, spring streams, infiltration-excess runoff, and gravity capillary water with a moisture content of 3–6%, demonstrate that precipitation reaches the base of the megadunes through infiltration and subsequently becomes groundwater. The chemical deposits, such as newly-formed calcite and gypsum, and gray-black physical deposits, as well as different stages in the development of fan-shaped landforms resulting from shallow subsurface runoff, indicate that groundwater recharge in the area is the result of long-term precipitation, rather than intermittent individual major rainfall events. Fine sand layers with a low infiltration capacity lead to subsurface runoff emerging at the ground surface. Five factors play an important role in maintaining a positive water balance and in replenishing groundwater via rainfall: effective rainfall as a water source, the high infiltration capacity of the sands enabling rainfall to rapidly become capillary water in the dunes, low evapotranspiration rates due to the sparse vegetation, the fact that the depth of the sand layer influenced by evaporation is shallow enough to maximize the deep infiltration of rainfall, and rapidly-moving gravity capillary water in the sandy dunes. These five factors together constitute a mechanism for groundwater recharge from rainfall, and explain the origin of the groundwater and lakes in the area. Our findings represent a significant advance in research on the hydrological cycle, including groundwater recharge conditions and recharge mechanisms, in this desert region. 相似文献
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Temporal changes of warm-season pan evaporation in a semi-arid basin in Western Turkey 总被引：1，自引：1，他引：0
Warm-season (from May to September) pan evaporation series recorded at nine sites in semi-arid Büyük Menderes Basin in Western Turkey were analyzed for evidence of long-term changes using non-parametric Mann–Kendall test. Only two sites showed significant linear trends, one in decreasing direction and the other in increasing direction. Area-averaged normalized anomalies of pan evaporation stayed unchanged over the period 1975–2006. Based on correlation and multiple regression analysis with visual inspection of the time series plots, sunshine duration which is used as a proxy for global radiation was found to be the major factor explaining the change and variability of pan evaporation in warm-season in semi-arid Büyük Menderes Basin. Stepwise multiple regression analysis showed no significant effect of rainfall on pan evaporation, which means that the effect of complementary relationship is rather weak and even non-existent. 相似文献
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Arid and semi‐arid regions expose special hydrological features that are distinctive from humid areas. Unfortunately, humid‐region hydrological empirical formulations are used directly in the arid and semi‐arid regions without care about the basic assumptions. During any storm rainfall in arid regions, rainfall, infiltration and runoff components of the hydrological cycle have impacts on water resources. The basis of the methodology presented in this paper is the ratio of runoff increment to rainfall increment during an infinitesimally small time duration. This is the definition of runoff coefficient for the same infinitesimal time duration. The ratio is obtained through rational, physical and mathematical combination of hydrological thinking and then integrated with the classical infiltration equation for the hydrograph determination. The parameters of the methodology are explained and their empirical estimations are presented. The methodology works for rainfall and runoff from ungauged watersheds where infiltration measurement can be performed. The comparison of the new approach with different classical approaches, such as the rational formula and Soil Conservation Service method, are presented in detail. Its application is performed for two wadis within the Kingdom of Saudi Arabia. Copyright © 2006 John Wiley & Sons, Ltd. 相似文献