青藏高原湖泊面积动态监测

高原湖泊的动态变化对区域水循环具有重要影响。受全球气候变化的影响,青藏高原湖泊自20世纪90年代开始呈现剧烈扩张趋势。为揭示近年来青藏高原湖泊面积的时空变化规律,本文提出了一种改进的半自动湖泊提取算法,结合环境减灾卫星（HJ-1A/1B）和Landsat系列卫星影像数据,对青藏高原内流流域中面积大于50 km²的127个湖泊进行了连续6年的动态监测,并分析了该区域2009-2014年湖泊面积时空变化特征。研究结果表明,该区域湖泊整体呈现显著扩张趋势,年均变化速率为231.89 km²yr^-1（0.87 %yr^-1）,6年间湖泊面积扩张速率有所减缓。其中,扩张湖泊有104个,收缩湖泊有23个,变化速率分别为271.08 km²yr^-1（1.02 % yr^-1）和-39.19 km²yr^-1（-0.15 %yr^-1）。不同区域湖泊面积变化具有明显差异,主要表现为东部及北部大部分区域湖泊扩张,南部地区大部分湖泊面积稳定,萎缩湖泊主要分布于研究区四周。最后,本文通过分析冰川融水补给对湖泊面积变化的影响,发现存在冰川融水补给的湖泊面积变化率远大于不存在冰川融水补给的湖泊。由此可见,近年来冰川融水的增加是促进青藏高原内流流域湖泊扩张的主要因素之一。     

巴丹吉林沙漠湖泊及地下水化学特征

通过对巴丹吉林沙漠丘间湖泊和古日乃、雅布赖、阿拉善右旗等地及其周围浅层地下水离子化学成分分析,探讨了沙漠地区湖水与地下水化学成分特点、水化学类型、空间变化和湖水补给来源。结果显示,巴丹吉林沙漠湖泊水的pH、盐度、TDS和电导率均远远大于地下水。湖水样品中Na⁺和Cl^-含量占绝对优势,大多数盐度较高的湖泊属于Na(K)-Cl-(SO₄) 型,个别盐度较低的微咸湖属于Na-(Mg)-(Ca)-Cl-(SO₄)-(HCO₃) 型。地下水的化学类型多数为Na-(Ca)-(Mg)-Cl-(SO₄)-(HCO₃)型,属微咸水,个别为Na-Cl-SO4型的咸水。沙漠东南部湖群水的pH值、盐度、TDS和电导率比较低,呈微碱性,属微咸湖;而北部湖群水的pH、盐度、TDS和电导率远远大于东南部湖群,呈中等碱性,为盐水湖。湖水离子化学特征显示沙漠东南部湖群自南向北的演化趋势为：微咸湖→咸水湖→盐水湖。湖水离子化学成分短时间序列变化指示,近9 年宝日陶勒盖、巴丹东湖、巴丹西湖、诺尔图、呼和吉林湖水中的大多数离子的含量有所降低,表明其近9 年来淡水补给量增多。湖水化学成分与湖水位高度显示,巴丹吉林沙漠湖群湖水流向是由东南流向西北。水化学成分和水位分布高度表明,该区沙漠湖水主要来自当地降水补给和来自沙漠东南缘雅布赖山和南缘的黑山头山地降水的补给,而来自祁连山区来水补给的可能性很小。     

Hydrochemical regime of saline lakes in the Southeastern Transbaikalia

Results from hydrochemical investigations into macrocomponent composition of some of the lakes in the Southeastern Transbaikalia are presented. The region's saline lakes, as a rule, are soda-chloride or chloride-soda lakes according to their chemical composition. The lakes hydrochemistry is determined by a combination of evaporative concentration of salt composition, intra-water body hydrobiological processes, especially by the production of organic matter and reduction of sulfates as well as by hydrogenic sedimentation.     

青藏高原冰湖研究进展及趋势

冰湖是由于冰川活动或者退缩产生的融水在冰川前部或者侧部汇集而成的,可分为冰川终碛湖(冰碛阻塞湖)、冰川阻塞湖、冰斗湖和冰蚀槽谷湖。其中分布数量较多、规模较大,且灾害风险较高的是冰川终碛湖。因此,冰川终碛湖是研究冰湖的主要对象。受全球气候变暖的影响,冰湖溃决产生的洪水、泥石流等重大冰川灾害的发生频率有所升高,灾害的影响程度以及范围也有所加大,引起了冰川山地国家的广泛关注。青藏高原内部发育着36793条现代冰川,冰川面积49873.44km2,分别占中国冰川总条数、总面积和冰储量的79.5%、84%和81.6%。在全球气候变暖的大背景下,多数冰川呈加速消融及退缩的态势,导致了冰湖溃决洪水和冰川泥石流等重大冰川灾害发生频率的加剧和影响程度的加大。本文围绕冰湖溃决条件、冰湖稳定性评价、冰湖溃决洪水模拟等几个研究方面,对青藏高原冰湖研究的现状及进展进行了较为系统的总结,并对未来研究趋势进行了展望。     

青藏高原湖泊Mg~(2+)、Ca~(2+)和Mg/Ca盐度指示意义的初步分析

总结了青藏高原地区400多个湖泊湖水的Mg2+、Ca2+和Mg/Ca等水化指标与湖水盐度的相关关系,以及这种关系随着湖水变化(不同采样时间和采样点以及自然蒸发)而产生的变化规律.结果表明:青藏高原湖泊湖水的Mg2+浓度与盐度具有较为稳定的正相关关系,而Ca2+和Mg/Ca与盐度的相关性较弱.在对于某一特定水化学类型的湖泊,一般碳酸盐型湖泊的Mg2+、Ca2+以及Mg/Ca等指标与盐度均没有明显的相关性;硫酸盐型湖泊中Mg2+浓度和盐度呈现较高的正相关关系,而Ca2+以及Mg/Ca与盐度的相关性仍很弱;而在氯化物型湖泊中,Mg2+浓度与盐度呈更高的正相关性,Ca2+浓度也与盐度呈一定的正相关性,Mg/Ca这一指标与盐度的相关性依然很弱.而对某一特定湖泊,在不同演化阶段或不同的采样地点,Mg2+浓度与盐度仍然保持明显的正相关关系,而Ca2+以及Mg/Ca与盐度的相关性仍然不稳定或很弱.在青藏高原作古环境重建应用的时候,湖水Mg2+浓度是古盐度一个较好的转换指标,而Ca2+以及Mg/Ca的古盐度指示意义相对较弱.     

D) UNITED Nations

Synopsis

In areas of accentuated relief, some of the basic assumptions made in the use of standard methods of assessing areal mean rainfall are often untenable. It is shown in this paper, that, not only does topography affect the actual rainfall distribution, but that the areal variability, measured as the correlation between any two points, is also dependent on the relief. Two methods are used to show this. Once method compares the areal variability of a flat area to one of accentuated relief, while the second method relates areal variability to topographic factors using a multiple regression technique.

The conclusions reached are then used for three purposed. The first is to develop a method of ascribing objectively areas or points to a particular raingauge, taking into account the nature of the terrain. The second is to establish a procedure for estimating the rainfall at ungauged points, by taking into account the rainfall at a selected nearby rainguage and the topographic situation of the points, and the third purpose is to provide means of establishing a correction factor to be applied to a raingauge reading in order that the reading may more accurately represent the area ascribed to it.     

Quantitative morphometric analysis of lakes using GIS: rectangularity R,ellipticity E,orientation O,and the rectangularity vs. ellipticity index,REi

Quantitative measures of polygon shapes and orientation are important elements of geospatial analysis. These kinds of measures are particularly valuable in the case of lakes, where shape and orientation patterns can help identifying the geomorphological agents behind lake formation and evolution. However, the lack of built-in tools in commercial geographic information system (GIS) software packages designed for this kind of analysis has meant that many researchers often must rely on tools and workarounds that are not always accurate. Here, an easy-to-use method to measure rectangularity R, ellipticity E, and orientation O is developed. In addition, a new rectangularity vs. ellipticity index, REi, is defined. Following a step-by-step process, it is shown how these measures and index can be easily calculated using a combination of GIS built-in functions. The identification of shapes and estimation of orientations performed by this method is applied to the case study of the geometric and oriented lakes of the Llanos de Moxos, in the Bolivian Amazon, where shape and orientation have been the two most important elements studied to infer possible formation mechanisms. It is shown that, thanks to these new indexes, shape and orientation patterns are unveiled, which would have been hard to identify otherwise.     

近40年来中国湖泊叶绿素a浓度的时空分异特征分析

随着经济社会快速发展, 中国湖泊表现出不同程度的富营养化, 湖泊生态正面临着严峻挑战。叶绿素a是评价水体营养状态的重要指标, 可以反映湖泊中浮游植物生物量情况。基于Landsat系列数据集, 对1986~2022年间中国范围内面积在10 km²以上湖泊叶绿素a浓度分布状况进行研究, 并对各区域叶绿素a浓度演变趋势进行分析, 结果表明: (1) 中国湖泊叶绿素a浓度存在地域性空间分布差异。叶绿素a浓度分布整体呈现东南高, 西北低的态势, 大约69%的湖泊处于轻富营养化程度, 中富营养化状态约占17%。以35°N和100°E为分界线, 各区域叶绿素a浓度随经纬度呈现出一定的变化规律。(2) 近40年间中国湖泊叶绿素a浓度年均值处于缓慢波动上升趋势, 时间序列呈现先降低后升高, 再降低的变化状态。所有湖泊叶绿素a浓度显著上升的数量占比约为30%, 显著下降的占比约为24.8%, 变化不显著的约占45.2%。整体变化较为稳定, 变异系数处于中等波动水平以下, 波动较大的区域位于青藏高原, 东北地区和长江中下游的部分地区。(3) 各流域内湖泊叶绿素a浓度时空分异特征表现为: 空间分布上, 内陆流域和西南流域普遍较低, 珠江流域和东南流域较高。时间变化上, 除了西南流域和内陆流域的湖泊叶绿素a浓度呈现下降趋势外, 其他流域均为上升趋势。中国湖泊叶绿素a浓度呈现出明显的地域性差异和时间变化趋势, 这主要归因于地区气候、水文条件、土地利用以及人类活动变化等因素。受温暖湿润气候和较强人类活动的影响, 东南部地区的湖泊叶绿素a浓度相对较高。西北部地区气温偏低, 降水较少, 湖泊叶绿素a浓度普遍较低。近40年的时间尺度上, 受城市化、工业化快速发展和全球气候变化的共同影响, 中国整体湖泊叶绿素a浓度呈缓慢上升趋势。     

Picoplankton structure in clear and turbid eutrophic shallow lakes: A seasonal study

The relative abundance of the different picoplankton components (eukaryotic picophytoplankton (Peuk), picocyanobacteria (Pcy) and bacterioplankton), and their relationships with the lake conditions were studied in three types of shallow lakes from the Pampa Plain (Argentina) that differ in their optical properties: clear-vegetated, phytoplankton-turbid and inorganic-turbid. All the selected lakes, but one, are characterized by their different alternative steady state (clear-vegetated and phytoplankton-turbid water phases) following the model proposed by Scheffer et al. (1993).Autotrophic and heterotrophic picoplankton abundances were analyzed seasonally in relation to environmental variables. All the lakes presented high concentrations of total nitrogen (TN) (>229 μg L⁻¹), total phosphorus (TP) (>46 μg L⁻¹) and dissolved organic carbon (DOC) (>13.7 mg L⁻¹). Clear-vegetated lakes were characterized by vertical diffuse PAR (photosynthetic active radiation) attenuation coefficient (kd_PAR) lower than 11 m⁻¹, whereas inorganic-turbid lake always showed values higher than 21.1 m⁻¹. The euphotic zone depth (Z_1%) was wider in clear-vegetated lakes (40–140 cm) and thinner in the inorganic-turbid (10–20 cm). The phytoplankton-turbid lakes presented a wide range in the values of these variables (kd_PAR: 5.2–35.8 m⁻¹; Z_1%: 10–90 cm). Phytoplankton chlorophyll-a (Chl-a) strongly differed, ranging from 1.6 to 334.6 μg L⁻¹. Picophytoplankton was mainly represented by phycocianine-rich (PC-rich) Pcy in all cases, dominating over Peuk algae. The total and relative abundances of eukaryotic picophytoplankton, Pcy and bacterioplankton, as well as the size structure of the phytoplankton community differed among the water bodies. In general, clear-vegetated water bodies exhibited similar abiotic characteristics, picophytoplankton/bacterioplankton ratios, and phytoplankton size structure. Contrarily, no clear trend was identified for the group of turbid lakes. The contrasting results obtained for the importance of the picoplankton components in phytoplankton-turbid shallow lakes evidence that the availability of the energetical and nutrient resources cannot be solely considered to predict their relative importance in this type of shallow lake.     

Major and trace element geochemistry of Lake Bogoria and Lake Nakuru,Kenya, during extreme draught

The physico-chemical properties of water samples from the two athalassic endorheic lakes Bogoria and Nakuru in Kenya were analysed. Surface water samples were taken between July 2008 and October 2009 in weekly intervals from each lake. The following parameters were determined: pH, salinity, electric conductivity, dissolved organic carbon (DOC), the major cations (FAAS and ICP-OES) and the major anions (IC), as well as certain trace elements (ICP-OES). Samples of superficial sediments were taken in October 2009 and examined using Instrumental Neutron Activation Analysis (INAA) for their major and trace element content including rare earth elements (REE). Both lakes are highly alkaline with a dominance of Na > K > Si > Ca in cations and HCO₃ > CO₃ > Cl > F > SO₄ in anions. Both lakes also exhibited high concentrations of Mo, As and fluoride. Due to an extreme draught from March to October 2009, the water level of Lake Nakuru dropped significantly. This created drastic evapoconcentration, with the total salinity rising from about 20‰ up to 63‰. Most parameters (DOC, Na, K, Ca, F, Mo and As) increased with falling water levels. A clear change in the quality of DOC was observed, followed by an almost complete depletion of dissolved Fe from the water phase. In Lake Bogoria the evapoconcentration effects were less pronounced (total salinity changed from about 40‰ to 48‰). The distributions of REE in the superficial sediments of Lake Nakuru and Lake Bogoria are presented here for the first time. The results show a high abundance of the REE and a very distinct Eu depletion of Eu/Eu* = 0.33–0.45.