近40 年可可西里地区湖泊时空变化特征

以可可西里地区1970s 地形图和1990s、2000-2011 年Landsat TM/ETM+遥感影像为基础,通过数字化和影像解译获取研究区83 个面积大于10 km²湖泊变化数据,并对湖泊变化成因进行了分析。研究结果表明:1) 1970s 初期至2011 年,可可西里地区湖泊经历了“先萎缩后扩张”的变化过程,其中1970s-1990s 期间湖泊面积普遍减小,1990s-2000 年湖泊出现扩张,并在2000 年恢复到1970s 湖泊规模,2000 年之后湖泊面积急剧增大。2) 2000-2011 年间,可可西里地区不同规模等级湖泊整体呈扩张趋势,但表现出一定的区域差异性。面积呈增加趋势的湖泊数量最多,亦分布最广,一些湖泊由于扩张迅速出现湖泊合并或湖水外泄情况;面积呈减少趋势或波动起伏的湖泊数量较少,零散分布在研究区中部和南部,湖泊动态变化与其自身补给条件或与下游湖泊(河道) 存在水力联系有关。3) 在研究时段内,降水增多、蒸发减少是可可西里地区湖泊扩大的主要原因,而气候变暖引起的冰川融水增加、冻土水分释放是次要原因。     

近30年白洋淀湿地景观的时空变化特征

白洋淀是华北平原最大的湖泊湿地,其景观格局变化对雄安新区乃至整个京津冀的生态安全具有重要意义。采用目视和基于样本的面向对象方法解译了1988—2018年的Landsat影像资料,对白洋淀湿地景观进行分类,并分析了白洋淀湿地景观类型和格局的时空变化特征。结果表明:1988—2018年,沼泽向滩地和耕地以及湖泊向沼泽、滩地和耕地发生大面积转换,湿地景观面积占比下降15.8%,滩地替代湖泊成为面积最大的湿地类型;沼泽和湖泊的最大斑块指数(LPI)大幅减少,耕地最大斑块指数(LPI)持续增加。河流的形状逐渐复杂,库塘和耕地形状趋于规则。沼泽、湖泊和耕地的斑块连接程度较好,破碎化程度较低;景观破碎化和多样性增加,景观形状指数(MSI)变化微弱,各景观类型面积趋于均衡,优势景观类型的连通性减弱,对整个景观镶嵌体的控制作用减小,景观异质性增加。     

近50年气候变化背景下青藏高原冰川和湖泊变化(英文)

本文综述了近年来青藏高原冰川和湖泊变化研究取得的成果,并特别着重于冰川和湖泊变化的相互关系论述。在全球变暖背景下,近几十年青藏高原冰川以退缩为主,湖泊水量以增加为主。本文一方面对青藏高原冰川末端退缩、冰川面积和冰川储量变化方面的研究成果进行了综合分析,探讨了冰川变化的时空特征;另一方面从湖泊面积和水位与水量变化探讨了湖泊变化的时空规律。结果表明青藏高原冰川退缩的幅度总体上呈从青藏高原外缘向内陆呈减小的变化态势,受冰川融水补给比较大的湖泊近期面积扩张、水位上升明显。最后指出了青藏高原冰川、湖泊变化研究中存在的问题及今后的发展趋势。     

青藏高原近40年来气候变化特征及湖泊环境响应

以青藏高原52个气象台站1971-2008年的逐月气温、降水资料为基础,采用因子分析、气候趋势分析、气候突变分析等方法,对高原内部不同区域的气候变化特征进行研究,并讨论了高原湖泊环境对气候变化的响应。结果表明,近40 a来,青藏高原各区域年平均气温整体持续上升,柴达木地区增温尤为显著,年平均气温增长率达0.49℃/10a;1987年和1998年各区域气温普遍由低向高突变,1998年以来增温尤为显著。年可利用降水的变化特征存在区域差异,柴达木地区、藏北南羌塘高原东部地区整体增湿。除藏东地区,青藏高原其它地区气候条件于20世纪末21世纪初由暖干向暖湿转变,受其影响,以青海湖、鄂陵湖、冬给措纳、兹格塘错为代表的高原大型湖泊表现出水位上升、湖水离子浓度减小的特征,反映了气候暖湿条件下湖泊水量的增加。     

近50年青藏高原东部降雪的时空演变

选用1967-2012年青藏高原东部60个站点的观测资料,分析了该地区降雪的时空演变特征,并结合降水和气温的变化,探讨了降雪与积雪的关系,结果表明：青藏高原东部年降雪量在1.3~152.5 mm范围内变化,空间分布差异显著;秋季降雪表现出中间多、周边少的特征,冬季降雪表现出由东南向西北递减的特征,春季降雪最多且空间分布与年降雪基本一致;降雪可划分为青南高原区、藏北高原区、柴达木盆地区、青藏高原东南缘区、川西高原西北部区、青藏高原南缘区、青海东北部区及藏南谷地区;就青藏高原整体而言,除秋季外,整年、冬季和春季降雪均表现出“少—多—少”的年代际变化特征,其中冬季降雪在1986年发生了由少到多的突变,整年、冬季和春季降雪均在1997年发生了由多到少的突变;不同区域降雪的时间变化规律各具特点;降雪与积雪的关系十分密切,春季降雪受气温的影响最为显著,秋季次之,冬季最弱;20世纪末,春季降雪受气温升高的影响表现出与降水变化相反的由多到少的气候突变特征。     

近30年来珠江河口岸线演变时空特征及效应

基于珠江河口近30年来实测水下地形、航测地形以及海图、卫星影像等大量资料,建立多时段、大范围河口岸线图谱,分区研究河口岸线向水域延伸的速度及速率,以定量表征珠江河口岸线演变时空特征,并简要分析岸线演变对河口地貌轮廓、水沙流路、滩涂湿地等产生的效应。结果显示:20世纪70年代至21世纪初,磨刀门岸线延伸速度最大,年均向东南延伸226m;其次为伶仃洋西岸大角山至珠海金星铜鼓角段,年均向东延伸190m;黄茅海西岸崖门出口至烽火角段年均延伸45m,是珠江河口中延伸速度最小的区域。河口岸线延伸对区域泄洪纳潮及水环境造成较大程度的影响。     

中国城市空间形态分形维及时空演变

基于国家资源环境数据库土地利用数据,估算了1990年和2000年我国31个大城市的分形维,讨论了基于面积周长关系定义的分形维和基于周长尺度关系定义的分形维之间关系,表明二者之间虽有差异,但存在显著的线性正相关关系,即随着基于周长尺度关系定义的分形维数值增加,基于面积周长关系定义的分形维数值也增加.我国城市的分形维总体变化趋势是:从1990到2000年均呈减少趋势,且南方城市的分形维大于北方城市.造成这一现象的原因是区域自然地理环境和土地利用方式的差异.     

围填海影响下东海区主要海湾形态时空演变

围填海影响下海湾形态变化能够深刻反映人类活动对海湾自然环境的影响程度,分析海湾形态变化对合理高效地利用与保护海湾资源具有重要意义。研究以东海区12个主要海湾（包括陆域与水域）为研究区,基于20世纪90年代以来6个时期的Landsat TM/OLI遥感影像数据,通过海湾岸线与湾面形态分析东海区主要海湾的变化特征,探讨围填海强度与海湾形态变化之间的相关性。主要结论为：① 1990—2015年,东海区主要海湾岸线总长度共波动增长66.65 km,2005—2010年间海湾开发最活跃,阶段内岸线增长量达38 km。岸线长度三沙湾最大（439 km）,泉州湾最小（105 km）;兴化湾增长最多（54.53 km）,罗源湾缩短最多（25.75 km）。自然岸线与人工岸线长度此消彼长,岸线人工化程度不断加强,东海北部海湾岸线总长度大于南部海湾。② 1990—2015年,东海区海湾岸线共向海推进26.93 km,合1.08 km/a,在1995—2000年及2005—2010年间推进最多,分别达7.10 km和 6.00 km,在1990—1995年间推进量最小,为2.97 km。杭州湾（4.93 km）和兴化湾（4.15 km）岸线向海推进距离最长,厦门湾推进（0.55 km）最短;东海南部海湾岸线迁移量平缓,北部海湾则更为剧烈,是东海区岸线迁移变化的主体。③ 1990—2015年间东海区主要海湾水域总面积由初期的13.85 km2减少至12.29 km2,累积减少11.23 %,海湾形状不断向复杂化演变。其中杭州湾海湾水域面积减少量最多,达到0.726 km2,占研究区的46.69 %。空间上,北部海湾水域面积减少量更大,而南部海湾水域面积减小速率更快。④ 1990年以来,东海区主要海湾人工化指数平均值和岸线开发强度指数均有所上涨,21世纪以来的开发利用度显著提高。南部（闽）海湾的开发利用程度较北部（浙沪）更为深入,北部海湾开发强度的年际波动差异更大。海湾开发强度与海湾岸线长度、人工岸线长度、海湾形态指数呈正相关关系,与自然岸线长度、海湾水域面积呈负相关关系。当海湾开发强度增加时,同时段内海湾围填海活动的强度也显著增加。     

青藏高原湖泊变化遥感监测及其对气候变化的响应研究进展

青藏高原位于中国西南部、亚洲中部,平均海拔高程大于4000 m,面积约300万km²,是“世界屋脊”,与周边地区一起常被称为地球的“第三极”。青藏高原分布着约1200个面积大于1 km²的湖泊,占中国湖泊数量与面积的一半;同时也是黄河、长江、恒河、印度河等大河的源头,被称为“亚洲水塔”。近几十年来,在全球变暖的背景下,青藏高原升温更加突出,其能量与水循环发生了显著变化,气候趋于暖湿化,冰川加速消融,湖面水位上升。湖泊是气候变化的重要指标,青藏高原湖泊分布密集、人为活动影响较小,多源遥感数据的广泛应用,为监测高原湖泊变化提供了难得的契机。本文依托国家自然科学基金青年项目“基于多源遥感的青藏高原内流区湖泊水量变化及水体相态转换研究(2000-2009年)”,主要研究进展为：初步查明了西藏高原的湖泊数量、面积及水位变化与时空格局,以及湖泊水量变化与水量平衡;探讨了湖泊变化对气候变化的响应。目前对青藏高原湖泊的变化及驱动因素虽有一些认识,但其定量的水量平衡及驱动机制还有待于进一步研究。这对了解世界第三极、一带一路国家和地区水资源状况与变化、生态文明和生态安全屏障建设具有重要的意义,同时也可为第三极国家公园的建立提供重要的科学基础。     

Investigating changes in lake systems in the south-central Tibetan Plateau with multi-source remote sensing

Lakes in the Tibetan Plateau are considered sensitive responders to global warming. Variations in physical features of lake systems such as surface area and water level are very helpful in understanding regional responses to global warming in recent decades. In this study, multi-source remote sensing data were used to retrieve the surface area and water level time series of five inland lakes in the south-central part of the Tibetan Plateau over the past decades. Changes in water level and surface area of the lakes were investigated. The results showed that the water level of three lakes (Puma Yumco, Taro Co, Zhari Namco) increased, with expanding surface area, while the water levels of the other two lakes (Paiku Co, Mapam Yumco) fell, with shrinking area. The water levels of the lakes experienced remarkable changes in 2000–2012 as compared with 1976–1999. Spatially, lakes located at the southern fringe of the Tibetan Plateau showed consistency in water level changes, which was different from lakes in the central Tibetan Plateau.     

青藏高原近40年来的降水变化特征

利用我国青藏高原地区的1961-2000年56个气象站的逐月降水资料,通过计算降水量的距平百分率,分析了青藏高原自1961至2000年以来降水量变化的趋势和1961-2000年以来各季降水量变化趋势,发现:青藏高原近40年来降水量呈增加趋势,降水量的线性增长率约为1.12mm/a。再将高原划分为四个季节,分析了各季40年来的降水量的变化情况得出:春季降水量年际变化较大,秋季降水量变化不明显。夏季降水量值较大而降水变化幅度较小,冬季降水量变化则与夏季相反。通过将青藏高原分为南北两个地区,分析了两个区的年降水量和四个季节的降水量的变化得出:高原南区1961-2000年降水量呈增加的趋势,降水量的线增长率为1.97 mm/a,春季和冬季降水量年际变化较大,夏季降水量变化不明显,秋季降水量略有增加;北区年降水量和夏季的降水量变化较小,秋季降水量的年际变化较大,冬季降水量变化最大。对青藏高原的南北两区用Mann-Kendall方法进行突变分析,显示高原南区分别在1978年和1994年发生突变,北区没有发现突变。     

“Greatest lake period” and its palaeo-environment on the Tibetan Plateau

The “greatest lake period” means that the lakes are in the stage of their maximum areas. As the paleo lake shorelines are widely distributed in the lake basins on the Tibetan Plateau, the lake areas during the “greatest lake period” may be inferred by the last highest lake shorelines. They are several, even tens times larger than that at present. According to the analyses of tens of lakes on the Plateau, most dating data fell into the range of 40-25 ka BP, some lasted to 20 ka BP. It was corresponded to the stage 3 of marine isotope and interstitial of last glaciation. The occurrence of maximum areas of lakes marked the very humid period on the Plateau and was also related to the stronger summer monsoon during that period.     

Contrasting vegetation changes in dry and humid regions of the Tibetan Plateau over recent decades

An overall greening over the Tibetan Plateau(TP) in recent decades has been established through analyses of remotely sensed Normalized Difference Vegetation Index(NDVI), though the regional pattern of the changes and associated drivers remain to be explored. This study used a satellite Leaf Area Index(LAI) dataset(the GLASS LAI dataset) and examined vegetation changes in humid and arid regions of the TP during 1982–2012. Based on distributions of the major vegetation types, the TP was divided roughly into a humid southeastern region dominated by meadow and a dry northwestern region covered mainly by steppe. It was found that the dividing line between the two regions corresponded well with the lines of mean annual precipitation of 400 mm and the mean LAI of 0.3. LAI=0.3 was subsequently used as a threshold for investigating vegetation type changes at the interanual and decadal time scales: if LAI increased from less than 0.3 to greater than0.3 from one time period to the next, it was regarded as a change from steppe to meadow, and vice versa. The analysis shows that changes in vegetation types occurred primarily around the dividing line of the two regions, with clear growth(reduction) of the area covered by meadow(steppe), in consistency with the findings from using another independent satellite product. Surface air temperature and precipitation(diurnal temperature range) appeared to contribute positively(negatively) to this change though climate variables displayed varying correlation with LAI for different time periods and different regions.     

1972-2012年青藏高原中南部内陆湖泊的水位变化

青藏高原的湖泊水位变化能够清晰的记录湖泊波动,分析近几十年来气候变暖背景下青藏高原典型湖泊水位的动态变化,对理解全球变化的区域响应特征和规律有重要意义。本文利用多源遥感数据,获取1972-2012年青藏高原南部地区5个典型湖泊的面积与水位序列,并分析了40年来湖泊水位的变化特征。研究结果表明,1972-2012年,普莫雍错,塔若错,扎日南木错水位呈上升趋势,分别上升了0.89 m、0.70 m、0.40 m;同期,佩枯错与玛旁雍错的水位呈下降趋势,分别下降了1.70 m、0.70 m。总体来看,五个湖泊在1990s-2012年的变化比1970s-1990s的变化更剧烈,从空间变化看,处于青藏高原边缘地带的佩枯错与玛旁雍错发生的变化呈现一致性,而位于中部地带的塔若错与扎日南木错的变化也呈现一致性。     

Land use dynamics in Lhasa area, Tibetan Plateau

Land use change is the result of the interplay between socioeconomic, institutional and environmental factors, and has important impacts on the functioning of socioeconomic and environmental systems with important tradeoffs for sustainability, food security, biodiversity and the vulnerability of people and ecosystems to global change impacts. Based on the results of the First Land Use Survey in Tibet Autonomous Region carried out in the late 1980s, land use map of Lhasa area in 1990 was compiled for the main agricultural area in Lhasa valley using aerial photos obtained in April, May and October 1991 and Landsat imagery in the late 1980s and 1991 as remotely sensed data sources. Using these remotely sensed data, the land use status of Lhasa area in 1991, 1992, 1993, 1995, 1999 and 2000 were mapped through updating annual changes of cultivated land, artificial forest, grass planting, grassland restoration, and residential area and so on. Land use map for Lhasa area in 2007 was made using ALOS AVNIR-2 composite images acquired on October 24 and December 26, 2007 through updating changes of main land use types. According to land use status of Lhasa area in 1990, 1995, 2000 and 2007, the spatial and temporal land use dynamics in Lhasa area from 1990 to 2007 are further analyzed using GIS spatial models in this paper.     

"Greatest lake period"|and its palaeo-environment on the Tibetan Plateau

The “greatest lake period” means that the lakes are in the stage of their maximum areas. As the paleo lake shorelines are widely distributed in the lake basins on the Tibetan Plateau, the lake areas during the “greatest lake period” may be inferred by the last highest lake shorelines. They are several, even tens times larger than that at present. According to the analyses of tens of lakes on the Plateau, most dating data fell into the range of 40-25 ka BP, some lasted to 20 ka BP. It was corresponded to the stage 3 of marine isotope and interstitial of last glaciation. The occurrence of maximum areas of lakes marked the very humid period on the Plateau and was also related to the stronger summer monsoon during that period.     

Changes in inland lakes on the Tibetan Plateau over the past 40 years

Inland lakes and alpine glaciers are important water resources on the Tibetan Plateau. Understanding their variation is crucial for accurate evaluation and prediction of changes in water supply and for retrieval and analysis of climatic information. Data from previous research on 35 alpine lakes on the Tibetan Plateau were used to investigate changes in lake water level and area. In terms of temporal changes, the area of the 35 alpine lakes could be divided into five groups: rising, falling-rising, rising-falling, fluctuating, and falling. In terms of spatial changes, the area of alpine lakes in the Himalayan Mountains, the Karakoram Mountains, and the Qaidam Basin tended to decrease; the area of lakes in the Naqu region and the Kunlun Mountains increased; and the area of lakes in the Hoh Xil region and Qilian Mountains fluctuated. Changes in lake water level and area were correlated with regional changes in climate. Reasons for changes in these lakes on the Tibetan Plateau were analyzed, including precipitation and evaporation from meteorological data, glacier meltwater from the Chinese glacier inventories. Several key problems, e.g. challenges of monitoring water balance, limitations to glacial area detection, uncertainties in detecting lake water-level variations and variable region boundaries of lake change types on the Tibetan Plateau were discussed. This research has most indicative significance to regional climate change.     

拉萨地区土地利用动态分析(英文)

Land use change is the result of the interplay between socioeconomic, institutional and environmental factors, and has important impacts on the functioning of socioeconomic and environmental systems with important tradeoffs for sustainability, food security, biodiversity and the vulnerability of people and ecosystems to global change impacts. Based on the results of the First Land Use Survey in Tibet Autonomous Region carried out in the late 1980s, land use map of Lhasa area in 1990 was compiled for the main agricultural area in Lhasa valley using aerial photos obtained in April, May and October 1991 and Landsat imagery in the late 1980s and 1991 as remotely sensed data sources. Using these remotely sensed data, the land use status of Lhasa area in 1991, 1992, 1993, 1995, 1999 and 2000 were mapped through updating annual changes of cultivated land, artificial forest, grass planting, grassland restoration, and residential area and so on. Land use map for Lhasa area in 2007 was made using ALOS AVNIR-2 composite images acquired on October 24 and December 26, 2007 through updating changes of main land use types. According to land use status of Lhasa area in 1990, 1995, 2000 and 2007, the spatial and temporal land use dynamics in Lhasa area from 1990 to 2007 are further analyzed using GIS spatial models in this paper.     

A note on the lake level variations of Nam Co,south-central Tibetan Plateau from 2005 to 2019

Tibetan lake levels are sensitive to global change, and their variations have a large impact on the environment, local agriculture and animal husbandry practices. While many remote sensing data of Tibetan lake level changes have been reported, few are from in-situ measurements. This note presents the first in-situ lake level time series of the central Tibetan Plateau. Since 2005, daily lake level observations have been performed at Lake Nam Co, one of the largest on the Tibetan Plateau. The interannual lake level variations show an overall increasing trend from 2006 to 2014, a rapid decrease from 2014 to 2017, and a surge from 2017 to 2018. The annual average lake level of the hydrological year (May-April) rose 66 cm from 2006 to 2014, dropped 59 cm from 2014 to 2017, and increased 20 cm from 2017 to 2018, resulting in a net rise of 27 cm or an average rate of about 2 cm per year. Compared to the annual average lake level based on the calendar year, it is better to use the annual average lake level based on the hydrological year to determine the interannual lake level changes. As the lake level was stable in May, it is appropriate to compare May lake levels when examining interannual lake level changes with fewer data. Overall, remote sensing results agree well with the in-situ lake level observations; however, some significant deviations exist. In the comparable 2006-2009 period, the calendar-year average lake level observed in-situ rose by 10-11 cm per year, which is lower than the ICESat result of 18 cm per year.