共查询到19条相似文献，搜索用时 15 毫秒
1.
青藏高原大部分湖泊近年来持续扩张,湖泊水位和水量明显增加.冰川消融是流域水量平衡和水循环的重要影响因素,直接导致湖泊水量变化.由于缺乏大范围的冰川质量平衡观测结果,青藏高原冰川消融对湖泊水量变化的影响仍存在较大争议.本文选择青藏高原内流区的色林错流域区(水系编号5Z2)作为研究对象,利用SRTM DEM和TanDEM-X双站InSAR数据,精确估算该流域三个主要冰川区(普若岗日、格拉丹东和西念青唐古拉)2000—2012年的冰川质量平衡,依次为:-0.020±0.030、-0.128±0.049、-0.143±0.032m·w.e.·a-1.并据此采用面积加权法准确推估出5Z2流域的冰川质量变化为:-0.166±0.021Gt·a-1.综合ICESat和Cryosat-2卫星测高数据,计算该流域2003—2012年湖泊水量变化速率(3.006±0.202Gt·a-1),并定量评估冰川质量变化对5Z2流域湖泊水量增加的贡献为:5.52%±1.07%,因此在青藏高原色林错流域区,冰川消融不是导致21世纪初期湖泊水位上升的主要因素. 相似文献
2.
藏南羊卓雍错流域水化学主离子特征及其控制因素 总被引：14，自引：1，他引：13
水化学主离子特征是流域湖泊的一个重要特征,对气候以及河流所经地区的环境具有指示作用.本文对藏南羊卓雍错流域水化学主离子组成特征及其控制因素进行分析,结果显示流域内不同水体(湖水、河水、地下水)之间的主离子组成以及水化学类型差异显著.其中,羊卓雍错的水化学类型为SO24--HCO3--Mg2+-Na+,巴纠错为SO24--Mg2+-Na+,沉错为SO24--Na+-Mg2+-Ca2+,普莫雍错为HCO3--SO24--Mg2+-Ca2+,空姆错为HCO3--SO24--Ca2+;流域河水中主要阴离子为HCO3-和SO24-,Ca2+为绝对优势阳离子;流域地下水化学类型则为HCO3--Ca2+.究其原因,流域水体化学组成主要受岩石风化作用控制;除此,羊卓雍错、巴纠错和沉错水化学组成亦受自身蒸发-结晶作用的影响.就入湖河水而言,羊卓雍错入湖河水整体受碳酸盐岩石风化的影响较大,蒸发岩溶解的影响次之;沉错和空姆错入湖河流(卡鲁雄曲)的蒸发岩来源则略大于碳酸盐岩来源;而硅酸盐对流域内河水的水化学性质影响较小.与入湖河水相比,羊卓雍错和沉错湖水的Mg2+、Na+和SO24-含量较高,而Ca2+和HCO3-含量较低.这应该与湖水蒸发强烈使得湖水中Ca2+和HCO3-析出并沉积到湖底有关.而空姆错由于湖泊面积小、入湖河水流量大,致使其湖水与入湖河水的主离子组成差异不显著. 相似文献
3.
全球变化下青藏高原湖泊在地表水循环中的作用 总被引：2，自引：2，他引：0
青藏高原是地球上最重要的高海拔地区之一,对全球变化具有敏感响应.青藏高原作为"亚洲水塔",其地表水资源及其变化对高原本身及周边地区的经济社会发展具有重要的影响.然而,在气候变暖的情况下,构成高原地表水资源的各个组分,如冰川、湖泊、河流、降水等水体的相变及其转化却鲜为人知.湖泊是青藏高原地表水体相变和水循环的关键环节.湖泊面积、水位和水量对西风和印度季风的降水变化非常敏感,但湖泊面积和水量变化在不同区域和时段的响应也不尽相同.湖泊水温对气候变暖具有明显响应,湖泊水温和水下温跃层深度的变化能够对水—气的热量交换具有明显影响,从而影响了区域蒸发和降水等水循环过程.由于湖泊水量增加,高原中部色林错地区湖泊盐度自1970s以来普遍下降.根据60多个湖泊实地监测建立的遥感反演模型研究发现,2000—2019年湖泊透明度普遍升高.对不同补给类型的大湖水量平衡监测发现,影响湖泊变化的气象和水文要素具有较大差异.在目前的暖湿气候条件下,青藏高原的湖泊将会持续扩张.为了深入认识湖泊变化在青藏高原区域水循环和气候变化中的作用,需要全面了解湖泊水量赋存及连续的时间序列变化,需要深入了解湖泊理化参数变化及对湖泊大气之间热量交换的影响,需要更多来自大湖流域的综合连续观测数据. 相似文献
4.
40-30kaBP青藏高原及邻区高温大降水事件的特征、影响及原因探讨 总被引：51，自引：0，他引：51
40－30kaBP相当于末次冰期大间冰阶或海洋氧同位素MIS3晚期。青藏高原在岁差周期夏季高太阳辐射作用下,据古里雅冰芯与若干孢粉记录指示温度比现在高2－4℃,高原及邻区众多大湖的高湖面记录指示大范围降水丰沛。应用Kutzbach水能平衡方程推算了封闭湖泊流域（青海湖、扎布耶／拉果错、阿克塞钦／甜水海）年平均降水可达640mm,560mm,260mm,分别是现代降水的1．7倍,3倍,5倍。高原及邻区包括祁连山以北和云南部分区域在内的大降水对水系河流产生了重大影响。高原内部河湖串联,水系合并;如色林错、班戈错、纳木错串联为高原上最大的内陆水系;若尔盖古湖外流并入黄河水系;长江上游大水在三峡束狭形成强烈旋涡掏蚀成低于海平面的深槽,形成了深槽中、底部的砂砾沉积。这次高温大降水事件是由高太阳辐射导致的由青藏高原高温热低压加强、热带洋面增暖蒸发强烈、南半球越赤道气流增强共同作用而形成的高原特强夏季风,同时极地冰盖迫使西风带南移也可能加强了对高原尤其是西部的降水．H3事件（27kaBP)促进了高温大降水事件的结束,H4事件（35.5kaBP)则可能短期萎缩了夏季风,使高温大降水事件呈现不稳定性特点。 相似文献
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本文利用CSR发布的GRACE RL06时变重力场模型,结合两种水文模式、卫星测高、降雨和蒸散等多源数据,从多个角度综合系统地分析维多利亚湖流域2003-01—2017-06的陆地水储量变化.比较了正向建模方法和单一尺度因子对泄漏误差的改正效果,经对比采用正向建模方法在此流域效果更好.基于多源数据得出以下三点与此前研究不同的结论:(1)GRACE RL06版本数据探测到流域内的水储量在2003-01—2017-06呈增加趋势,球谐位系数和Mascon产品得到的变化速率分别为14.9 mm·a^-1和16.7 mm·a^-1,观测误差小于RL05版本的结果,RL05版本低估了流域水储量的变化速率;(2)2013-01—2016-02期间GRACE和测高探测到湖泊水量增长,而水文模式探测到流域内水储量减少,推测这一现象由大坝蓄水造成;(3)受El Nino事件影响,2016-03—2017-06流域降雨减少,流域水储量减少,GRACE球谐位系数和Mascon探测到的变化速率分别为-100.3 mm·a^-1和-129.7 mm·a^-1.本文结果表明卫星观测数据可为在缺乏直接观测数据的情况下分析人类活动和自然变化对区域水储量的影响提供一种可行的途径,这也为研究我国湖泊流域水储量变化提供参考. 相似文献
6.
为探究淡水湖库及其所属流域蒸散发演变特征,以及气象因子对蒸散发的影响规律。以长三角地区最大的淡水人工湖和重要的水源地——千岛湖为研究对象,采用Penman-Monteith等方法与WEP-L分布式水文模型,分别计算千岛湖流域1960—2020年潜在蒸散发(ET0)与实际蒸散发(ETa),分析二者年际变化趋势及突变年份;采用偏微分方法分析气象因子对ET0的敏感性和贡献度;采用归因分析法分析突变前后气象因子对ETa变化的贡献度,并利用蒸发表面水分指数(EMI)解析流域蒸发互补关系。结果表明:ET0与ETa多年平均值分别为1021.7和857.5 mm,整体皆呈减少趋势,倾向率分别为-0.77和-1.03 mm/a,二者均在1980和2000年左右发生突变;ET0对相对湿度变化最为敏感,ET0增加的月份主要是由于相对湿度、平均气温的正贡献,风速呈负贡献但相对较小,ET0减少的月份主要是由于日照时数和风速的负贡献,平均气温呈正贡献但相对较小;ETa空间分布呈现东高西低格局,驱动因素按贡献率大小为相对湿度>风速>日照时数>气温;流域整体存在“蒸发悖论”现象,日照时数和风速的减小是引起ET0近年来下降的主要原因;EMI愈趋近于1时,反映流域ET0和ETa取值愈加接近,蒸散发互补理论在千岛湖流域适用。 相似文献
7.
流域社会经济发展对山东省东平湖水环境影响评估及优化调控 总被引：3，自引：1，他引：2
针对我国湖泊生态环境保护及"一湖一策"工作的需要,开展了流域社会经济对东平湖水环境效应评估及联合调控方案研究.在基于"压力状态响应"评估方法、系统动力学模拟和情景分析的基础上,全面评估了东平湖当前水平、未来变化速率和主要瓶颈,确定了流域社会经济系统调控战略的必要性及潜力、方向和底线.结果表明:1)东平湖评估指数从2000年的52.4提升到2010年的61.6,其评估等级从Ⅲ级提升到Ⅱ级,若仅维持现状水平和高速发展速度,未来20年评估指数将很可能呈现缓慢下降趋势,长期处于Ⅲ级,甚至达到Ⅳ级;2)为了确保维持现状等级及稳中小幅度上升的趋势,到2030年,东平湖流域社会经济发展速度控制在过去11年平均增长速度的75%,环境响应措施提升到评估标准的Ⅰ级水平;3)建议东平湖的流域生态系统管理工作应先削减已有的和潜在的污染源排放量,随后以自然恢复为主,使湖泊水质进一步改善. 相似文献
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“十三五”时期,长江流域水环境质量改善明显,但湖泊水质和富营养化状况改善滞后. 长江中游作为我国淡水湖泊集中分布区域之一,部分湖泊存在水环境质量恶化和富营养化加重问题. 本文以长江中游区域国家开展监测的洪湖、斧头湖、梁子湖、大通湖、洞庭湖和鄱阳湖这6个典型湖泊为研究对象,科学评价其2016—2020年水质和富营养化时空变化特征及关键驱动因素,探讨其成因及治理对策. 结果表明,“十三五”时期长江中游湖泊水质和富营养化程度存在较大差异,与2016年相比,2020年大通湖水质改善最为明显,梁子湖水质变差,总磷是影响长江中游湖泊水质类别的主要因子; 洪湖富营养程度恶化最为严重,斧头湖次之,TLI(SD)对长江中游湖泊富营养化评价贡献最大. 目前长江中游湖泊呈有机污染加重和叶绿素a浓度升高现象,洪湖、斧头湖和梁子湖主要与氮、磷营养盐浓度升高有关,而大通湖、洞庭湖和鄱阳湖受水文过程、流域纳污量和湖泊管理等非营养盐因素影响较大. 总氮和总磷仍然是影响“十三五”时期长江中游湖泊水质和富营养化的最主要驱动力,且各湖泊总氮和总磷浓度变化均具有较强正相关性,建议开展河湖氮、磷标准衔接工作,提出河湖氮、磷标准限值或考核目标,以完善河湖水环境质量标准和生态健康影响评价技术规范. 同时,建议长江中游湖泊在开展截污控源、内源控制和生态修复的同时,进一步深化流域管理,特别是对洞庭湖、鄱阳湖、梁子湖和斧头湖等跨行政区湖泊,以提高湖泊治理与修复的系统性和整体性. 相似文献
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观测资料的分析极为清楚地表明,江淮流域的夏季降水有着极为明显的低频变化,周期为30-60d和近20d的振荡是其最基本的特征,尤其是在多雨的年份.对应江淮夏季多雨(涝)年和少雨(旱)年,大气环流的分析表明其大气季节内振荡(IS0)的形势有着显著的差异.例如在多雨(少雨)年,在长江以南的850hPa上为一个低频(IS0)反气旋(气旋)性环流控制,而中国北部和日本一带为气旋(反气旋)性环流,从而在江淮流域形成较强的低频辐合(辐散)气流;在200hPa的青藏高原上却为一个低频气旋(反气旋)性环流所控制.分析还表明,对应多雨年,在江淮流域有明显的由中高讳度向南传播和由低玮度向北传播的大气低频振荡的汇合情况;而对应于少雨年,由中高纬度向南传播的低频系统较不明显,在江淮流域低频系统的汇合也较为不清楚. 相似文献
10.
基于CMIP5模式鄱阳湖流域未来参考作物蒸散量预估 总被引：3，自引：0，他引：3
预测未来气候情境下鄱阳湖流域参考作物蒸散量(Reference crop Evapotranspiration,ET0)的时空分布可为流域水资源的优化管理,为科学应对气候变化对农业生产的影响提供基础数据支撑.利用鄱阳湖流域14个气象站点1961-2014年逐日气象数据,采用Penman-Monteith公式计算出历史ET0;基于同期美国环境中心(NCEP)再分析数据及2006-2100年CMIP5中CNRM-CM5模式在RCP4. 5和RCP8. 5情景下的预测数据,经统计降尺度模型(statistical downscaling model,SDSM)模拟和偏差校正,预测流域未来ET0;通过Mann-Kendall检验、普通克里金插值和空间自相关法分析了流域1961-2100年ET0的时空演变特征.结果表明:NCEP再分析资料与流域ET0建立的逐步回归降尺度模型模拟效果较好,CNRMCM5模式降尺度模拟结果经偏差校正后,精度明显提高,适宜流域未来ET0的预估.鄱阳湖流域在基准期1961-2010年ET0整体上呈减小趋势,空间分布上呈南北高、中间低的特点,表现出明显的空间差异性.RCP4.5、RCP8.5情景下未来3个时期鄱阳湖流域ET0较基准期均呈不同程度的增加趋势,其空间分布整体表现为东高西低、局地略有突出;无论是在基准期或是未来情景下的3个时期,ET0均具有较强的空间自相关性.在RCP8.5情景下,鄱阳湖1961-2100年干旱指数呈现出较为明显的上升趋势,流域的干旱状况随时间加剧,2011-2100年间流域绝大部分地区由湿润区转为半湿润区,干旱指数自南向北递减,赣江流域将是鄱阳湖流域未来干旱风险的重点防范区. 相似文献
11.
湖冰物候影响着区域及全球气候,是全球变化的敏感因子,青藏高原湖泊众多,冻融现场监测数据缺乏,而微波具有对冰水相变敏感、时间分辨率高、历史存档数据长等特点,这对于长时间序列湖冰物候研究具有重要意义.然而,被动微波遥感空间分辨率低、湖泊亮温的精准定位难.论文通过获取AMSR-E/Aqua和AMSR-2/Gcom-W1的亮温数据,构建了基于轨道亮温数据的阈值判别法,通过对青藏高原不同区域和不同大小的青海湖、色林错、哈拉湖以及阿其克库勒湖进行测试研究:与青海湖现场观测对比,湖泊完全冻结日期与开始融化日期最大误差小于3天;与无云光学遥感判别结果相比,4个湖泊的冻融参数误差为2~4天.结果表明,被动微波轨道亮温数据可实现青藏高原地区亚像元级中大型湖泊冻融信息的获取,历史卫星资料可为湖冰物候的监测提供重要的支撑. 相似文献
12.
Quantitative comparison of river inflows to a rapidly expanding lake in central Tibetan Plateau 
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下载免费PDF全文 The recent rapid expansion of inland lakes on the Tibetan Plateau (TP) are a good indicator of the consequences of climate change. Quantifying the hydrological cycle of the lake basin is fundamentally important to understand the causes of lake growth. However, the hydrological processes of the TP interior are very complex and difficult to investigate because of the lack of observations. This is especially true for estimating the lake changes when run‐off inflows are affected by small lakes located in the flow routes within drainage areas. We used an integrated hydrological model, in combination with glacier melt and lake retention models, to analyse the run‐off inflows to Lake Siling Co, the largest endorheic lake in Tibet. It includes four subdrainage basins: Zhajiazangbu, Zhagenzangbu, Alizangbu, and Boquzangbu. Lake Siling Co was characterized by considerable increases during warm season from 1981 to 2012, due to the increased run‐off from Zhajiazangbu accounting for about 51–62% of the total run‐off inflows. Moreover, the dramatic increases exhibited during cold seasons were related to the increased retention water released from the small lakes within Zhagenzangbu and Alizangbu. Of the studied subdrainage basins, Boquzangbu contributed the least during both warm and cold seasons. On average, the annual amount of evaporation from lakes within the drainage area was about 2 times greater than that of glacier melt run‐off. Our results suggest that the retention effects of lakes on river inflows should receive more attention, because understanding these effects is potentially crucial to improved understanding of lake variations in the TP. 相似文献
13.
纳木错水温变化及热力学分层特征初步研究 总被引：3，自引：3，他引：0
水温变化是湖泊的重要物理特性,对湖泊的水质特征、湖水能量循环、水生生态系统研究具有重要意义.基于不同季节的实地观测资料,分析青藏高原高海拔、深水大湖纳木错的水温变化特征及季节差异,并着重分析湖水热力学分层的季节变化.结果显示纳木错中部、东部两个湖盆冬季封冻,夏季存在稳定分层,春、秋季混合,是一个典型双季对流、完全混合型湖泊.但两个湖盆水温变化与热力学分层又有各自的特征,东部浅湖盆湖水在春季升温快,夏季分层与秋季翻转均比中部湖盆早,且秋季翻转时水温也比中部湖盆高.初步分析认为两个湖盆不同的湖盆形状及水深分布可能是造成其热力学特征差异的主要原因. 相似文献
14.
Inter‐annual changes of alpine inland lake water storage on the Tibetan Plateau: Detection and analysis by integrating satellite altimetry and optical imagery 下载免费PDF全文
下载免费PDF全文 The effects of climate change have a substantial influence on the extremely vulnerable hydrologic environment of the Tibetan Plateau. The estimation of alpine inland lake water storage variations is essential to modeling the alpine hydrologic process and evaluating water resources. Due to a lack of historical hydrologic observations in this remote and inaccessible region, such estimations also fill a gap in studies on the continuous inter‐annual and seasonal changes in the inland lake water budget. Using Lake Siling Co as a case study, we derived a time‐series of lake surface extents from MODIS imagery, and scarce lake water level data from the satellite altimetry of two sensors (ICESat/GLAS and ENVISAT RA‐2) between 2001 and 2011. Then, based on the fact that the rise in lake water levels is tightly dependent on the expansion of the lake extent, we established an empirical model to simulate a continuous lake water level dataset corresponding to the lake area data during the lake's unfreezing period. Consequently, from three dimensions, the lake surface area, water level and water storage variations consistently revealed that Lake Siling Co exhibited a dramatic trend to expand, particularly from 2001 to 2006. Based on the statistical model and lake area measurements from Landsat images since 1972, the extrapolated lake water level and water storage indicate that the lake has maintained a continual expansion process and that the cumulative water storage variations during 1999–2011 account for 66.84% of the total lake water budget (26.87 km3) from 1972 to 2011. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
15.
Huan Mi Cédric G. Fichot Karin R. Bryan Gang Qiao Sergio Fagherazzi 《地球表面变化过程与地形》2020,45(15):3780-3790
Rapid water level rise due to climate change has the potential to remobilize loose sediments along shorelines and increase the turbidity of nearshore waters, thereby impacting water quality and aquatic ecosystem health. Siling Lake is one of the largest and most rapidly expanding lakes on the Tibetan Plateau. Between 2000 and 2017, this lake experienced an increase in water level of about 8 m and a doubling in water turbidity. Here, using this lake as a study site, we used a wave model and high-resolution remote sensing of turbidity (Landsat-8) to assess the potential connection between water-level rise, enhanced wind-driven sediment resuspension and water turbidity. Our analysis revealed that strong bottom shear stresses triggered by wind-generated waves over newly flooded areas were related to an increase in water turbidity. The spatial variability of Siling Lake turbidity showed a strong dependence on local wind characteristics and fetch. Two factors combined to drive the increase in turbidity: (1) high wave energy leading to high bottom shear stresses, and (2) flooding of unvegetated shallow areas. Using a new relationship between wave energy and turbidity developed here, we expect the increase in turbidity of Siling Lake to taper off in the near future due to the steep landscape surrounding the lake that will prevent further flooding. Our results imply that rising water levels along the coast are not only expected to influence terrestrial ecosystems but could also change water quality. The methodology presented herein could be applied to other shorelines affected by a rapid increase in water level. © 2020 John Wiley & Sons, Ltd. 相似文献
16.
A. L. Ruhoff A. R. Paz L. E. O. C. Aragao Q. Mu Y. Malhi W. Collischonn 《水文科学杂志》2013,58(8):1658-1676
AbstractRemote sensing is considered the most effective tool for estimating evapotranspiration (ET) over large spatial scales. Global terrestrial ET estimates over vegetated land surfaces are now operationally produced at 1-km spatial resolution using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the MOD16 algorithm. To evaluate the accuracy of this product, ground-based measurements of energy fluxes obtained from eddy covariance sites installed in tropical biomes and from a hydrological model (MGB-IPH) were used to validate MOD16 products at local and regional scales. We examined the accuracy of the MOD16 algorithm at two sites in the Rio Grande basin, Brazil, one characterized by a sugar-cane plantation (USE), the other covered by natural savannah vegetation (PDG) for the year 2001. Inter-comparison between 8-day average MOD16 ET estimates and flux tower measurements yielded correlations of 0.78 to 0.81, with root mean square errors (RMSE) of 0.78 and 0.46 mm d-1, at PDG and USE, respectively. At the PDG site, the annual ET estimate derived by the MOD16 algorithm was 19% higher than the measured amount. For the average annual ET at the basin-wide scale (over an area of 145 000 km2), MOD16 estimates were 21% lower than those from the hydrological model MGB-IPH. Misclassification of land use and land cover was identified as the largest contributor to the error from the MOD16 algorithm. These estimates improve significantly when results are integrated into monthly or annual time intervals, suggesting that the algorithm has a potential for spatial and temporal monitoring of the ET process, continuously and systematically, through the use of remote sensing data.
Editor D. Koutsoyiannis; Associate editor T. WagenerCitation Ruhoff, A.L., Paz, A.R., Aragao, L.E.O.C., Mu, Q., Malhi, Y., Collischonn, W., Rocha, H.R., and Running, S.W., 2013. Assessment of the MODIS global evapotranspiration algorithm using eddy covariance measurements and hydrological modelling in the Rio Grande basin. Hydrological Sciences Journal, 58 (8), 1658–1676. 相似文献
17.
Many lakes in the Tibetan Plateau (TP) experienced dramatic lake level changes in the late Quaternary, as suggested by well-preserved paleo-shorelines up to ∼200 m above present lake levels. These relic shorelines provide direct geomorphic record to reconstruct past lake level fluctuation history and water volume changes, linked closely to variations in paleo-climatic controls including Asian monsoon, westerlies and glacial meltwater. In this study, 27 near-shore sediment samples from three of eight paleo-shorelines at north of Nam Co were dated by Optically Stimulated Luminescence (OSL) technique, using coarse grains of quartz and potassium feldspar.Our results indicate that: 1) S1 is the highest/most developed shoreline (+26 m). Sediment from upper part of S1 has a consistent age of ∼25 ka (nine samples from 3 gullies), suggesting a high lake level of Nam Co occurred around 25 ka. An overflow point west of Nam Co has a close elevation to that of S1 and thus limits the presence of higher lake levels; 2) sediment profile from the slightly lower S2 (+22 m) contains two parts, silty sand (6.9–8.9 ka) at the bottom and shoreline deposits atop (∼2.3 ka), suggesting Nam Co maintained a relative high lake level in the early Holocene and such lake level occurred again at about 3.0–2.0 ka; 3) In contrast to the swift variations of monsoon precipitation and glacial meltwater in the late Quaternary, water level of Nam Co remained relatively stable during the period from ∼25 ka to about early Holocene (from +26 m to +22 m), implying a continuous outflowing stage and lake infill constantly exceeds evaporation; 4) S5 (+11 m) has an age of 0.7–1.4 ka. Nam Co showed a much accelerated pace of shrinkage since about 2.0 ka in the late Holocene in roughly two steps: it dropped from +22 m to +11 m from ∼2.0 ka to 1.4 ka, and subsequently dropped another 11 m after 0.7 ka. 相似文献
18.
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
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湖冰厚度是湖泊在封冻期的重要物理参数,明晰其时空变化特征对于认识气候变暖背景下的湖冰响应规律具有重要的理论价值和现实意义.基于ERA5 Climate Reanalysis气温数据集、MODIS MOD09GQ数据产品和2019年湖冰钻孔测厚数据及雷达测厚数据,重建2000—2019年青海湖冰厚时间序列并分析其时空变化特征.结果表明:①2019年3月实测青海湖湖冰厚度平均增长速率为0.30 cm/d,高于2月份(0.12 cm/d).基于度日法湖冰生长模型模拟的2018年11月—2019年3月青海湖冰厚平均增长速率为0.34 cm/d,与实际观测数据相比,模拟冰厚误差为±2 cm,但在河流入湖口处和湖区南侧误差较大,且冰厚模拟数值在3月中旬前高估而之后有所低估.②青海湖多年平均冰厚介于32～37 cm,其中2008—2016年湖冰厚度年际变化剧烈,呈现先增大再稳定后减小的趋势.冻结初期湖冰厚度增长迅速,12月和1月湖冰增长速率分别为0.45和0.41 cm/d,2月后冰厚增长速率放缓,2月和3月分别为0.29和0.14 cm/d.③2000—2019年冰厚整体呈现北厚南薄、东厚西薄的空间格局,多年冰厚变化幅度湖区西部较东部稳定,湖冰平均厚度与完全封冻时长及封冻期呈正相关. 相似文献