Research advances in passive microwave remote sensing of surface freeze-thaw state北大核心CSCD

Soil freeze-thaw cycles have important effects on surface water and energy balance,and then affect vegetation growth,soil water content,carbon cycle and terrestrial ecosystem. Passive microwave plays an important role in monitoring global and regional surface freeze-thaw processes due to its high temporal resolution,abundant data and sensitivity to soil moisture. With the launch of passive microwave sensors at home and abroad,it provides conditions for the study of permafrost interannual variation,seasonal variation,diurnal variation and long time series of near-surface soil freeze-thaw cycle. In recent years,the study of surface freeze-thaw cycle using passive microwave data has gradually increased. Based on previous studies,this paper summarizes the types of passive microwave remote sensing data and the characteristics of the bands contained in them. Expounded the principle of passive microwave monitoring data used for freezing and thawing,focus on passive microwave data in five categories in the study of freezing and thawing monitoring algorithms,including double index algorithm,the decision tree algorithm,freeze-thaw discriminant algorithm,seasonal threshold algorithm and based on the freezing L-band relative factors discriminant algorithm threshold,and analysis of 5 kinds of algorithms are compared;The freeze-thaw products based on different algorithms and passive microwave data were combed. Finally,the problems and future research directions of passive microwave remote sensing in surface freeze-thaw applications are summarized. In the acquisition of passive microwave data,it is found that the passive microwave data is missing due to the physical characteristics of the sensor,the shape and orbit of the earth,and the low resolution of passive microwave data leads to the low precision of freeze-thaw discrimination. For the problem of missing passive microwave data,it is proposed to use the average value of passive microwave data before and after two days to fill the missing brightness temperature data,or establish statistical function to complement the missing data. For the problem of low passive microwave resolution,the current development trend is to scale down based on passive microwave data and combine with multiple data products,such as ground temperature and active microwave data,or perform probability discrimination on surface freezing-thawing state in pixels,so as to better describe surface freeze-thaw state. In terms of the algorithm for discriminating surface freezing-thawing,based on the problem that dual-index algorithm,decision tree algorithm,freezing-thawing discriminant algorithm and seasonal threshold algorithm cannot accurately distinguish snow and frozen soil,this paper proposes to adopt the method of data assimilation or start from the snow radiation and frozen soil dielectric model. Optimization of the algorithm for the snow covered surface can further improve the accuracy of freeze-thaw classification. Based on existing freeze-thaw products,Although SMAP freeze-thaw products continue to be updated,SAMP satellite was launched late,and SAMP freeze-thaw products have a short time series. In the future,the time span of this algorithm for freezing-thawing products can be extended by combining L-band data provided by SMOS satellite. The problems mentioned above and the direction of further research are of great significance for improving the accuracy of freezing and thawing discrimination and improving the understanding of the variation law of freezing and thawing cycles,and also have certain research space. © 2022 Science Press (China).     

Simulation and assessment of soil temperature and moisture in seasonally frozen soil regions of the Tibetan Plateau based on SHAW model北大核心CSCD

In recent years,more and more attention has been paid to the problem of the cryosphere changes on the Tibetan Plateau,and it has gradually become a hot issue for scholars. Known as the“water tower of Asia”,the Tibetan Plateau is the source of many major rivers in Asia. Under the combined influence of climate change and human activities,water resources on the Tibetan Plateau have undergone profound changes,especially soil water,as an important component of water resources,which plays an important role in regulating vegetation and crop growth,rainfall and runoff. However,global warming leads to the degradation of permafrost and seasonal⁃ ly frozen soil,which affects the original water cycle process and the spatial and temporal pattern of water re⁃ sources by changing the properties of soil water storage and water transport. In the Tibetan Plateau,where there are few data,it is difficult to directly study the soil water cycle process under freezing-thawing by using original data. Therefore,it is an important means to simulate the variation characteristics of soil water and temperature under freezing-thawing in seasonally frozen soil regions of the Tibetan Plateau by using coupling model of soil water and heat. Aiming at the key problem of the difference of soil temperature and moisture characteristics in typical seasonally frozen soil regions under different meteorological conditions,this paper simulated the charac⁃ teristics of soil moisture and temperature change in Maqu,Naqu（Nagqu）and Shiquanhe from 2017 to 2018 by using SHAW（Simultaneous Heat and Water）model and three soil moisture characteristic curve models. The simulation effect and variation characteristics of soil moisture and temperature under different meteorological conditions were analyzed,and the influence of soil moisture characteristic curve model on the simulation effect was studied. The results show that SHAW model can well simulate the temporal variation and vertical distribu⁃ tion of soil temperature and moisture under different meteorological conditions. The simulation effect of soil tem⁃ perature is better than that of soil moisture. The average NSE,R2 and RMSE of soil temperature are 0. 88,0. 96 and 2. 20 ℃,respectively. The mean NSE,R2 and RMSE of soil moisture are 0. 60,0. 72 and 0. 03 m3·m-3,respec⁃ tively. In terms of different meteorological conditions,the simulation effect of soil temperature in relatively dry region was significantly better than that in humid region,while the simulation effect of soil water in relatively hu⁃ mid region was significantly better than that in arid region. From different depths in soil,the simulation effect of soil temperature decreases gradually with the increase of depth,while the simulation effect of soil moisture in the middle and lower layers is better than that in the surface layer. From the view of different soil moisture character⁃ istic curve models,different soil water characteristic curve models have no significant effect on soil temperature simulation effect,but there are significant differences in soil moisture simulation effect. In addition,there are great differences and uncertainties in simulating soil temperature and moisture in different freezing-thawing stag⁃ es. With the increasing trend of climate warming,permafrost and seasonally frozen soil on the Tibetan Plateau may continue to degrade,may change the current water resources pattern,resulting in frequent extreme weather events. Therefore,from the perspective of numerical simulation,this paper verified the applicability of soil moisture and heat coupling model in soil temperature and moisture simulation under different meteorological con⁃ ditions,revealed the influence of precipitation and temperature on soil temperature and moisture simulation at different depths in seasonally frozen soil regions,and analyzed the differences in simulation effects of different soil moisture characteristic curve models. The results provide reference for the study of soil water resources vari⁃ ation under freezing-thawing conditions. © 2023 Chinese Journal of General Practitioners. All rights reserved.     

Using Remote Sensing and GIS Techniques to Study Soil Degradation Processes in North Shaanxi Province, China

Satellite image data and thematic map data were used to provide comprehensive views of surface-bound conditions such as soil and vegetation degradation. The current work applies a computerized parametric methodology, developed by FAO, UNEP and UNESCO to assess and evaluate soil degradation at 1 : 250 000 mapping scale. The study area is located in the arid and semi-arid zone of the northern part of Shaanxi Province in China, a region with considerable agricultural potential; Landsat TM images were utilized to provide recent data on land cover and use of the area. ARC/INFO and Arc-View softwares were used to manage and manipulate thematic data, to process satellite images, and tabular data source. ER mapper software is utilized to derive the normalized difference vegetation index (ND VI) values while field data to estimate soil erodibility (SE) factor. A system is established for rating soil parameters, slope, climate factor and human factor activity. The rating values serve as inputs into a modified universal soil loss equation (USLE) to calculate the present state and risk for soil degradation processes, namely soil wind erosion. The produced maps and tabular data show the risk and the present status of different soil degradation processes. The study area, in general, is exposed to high risk of wind erosion and high hazards of water erosion. Several desertification maps were produced, which reflect the desertification types persisting in the study area. Wind erosion, water erosion, vegetation degradation,physical degradation and salinization are the basic desertification maps, and others are combinations of these basic maps. In terms of statistic analysis, 33.75 % of the total land area (120. 330 0 ha) is considered as sand or sand dune, and not included in our analysis of desertification. About 29. 41% of the total land area has slight or moderate desertification and 37. 465 % is facing severe desertification.     

Fractal characteristics of sand grain group changes under freeze-thaw cycles and its correlation with long-term strength北大核心CSCD

Seasonally frozen soils are widely distributed in China in terms of area,and the freeze-thaw cycle effect generated by the alternation of cold and warmth is one of the causes of engineering damage in cold areas during construction,and it is particularly important to restore the nature and state of the soil when it is subjected to freeze-thaw action. Therefore,sandy soil specimens with different numbers of freeze-thaw cycles were prepared,and the long-term strength of frozen sandy soil was tested using a spherical template indenter. Using fractal theory and the microstructure image processing software ImageJ,the change law of grain group and long-term strength of two frozen sandy soils under different numbers of freeze-thaw cycles were studied. The results show that：for fine sand（FS）,the fractal dimension DB has a highly significant positive correlation with the long-term strength variation,among which ≥0. 15~0. 20 mm and ≥0. 25~0. 40 mm have the best fit with the long-term strength,and are the dominant grain classes of FS. For medium sand（MS）,the fractal dimension DB is slightly positively correlated with the long-term strength,and the variation shows a“vertical N”trend,in which the grain size content of ≥0. 30~0. 40 mm and ≥0. 40 mm fits better with the long-term strength,and is the dominant grain class for MS. The content of other grain groups did not correlate significantly with the long-term strength change. The freeze-thaw action changed the content ratios of coarse and fine grain agglomerates in the soil. With the increase of the overall particle size interval,the dominant particle size also increases,which shows that the long-term strength of frozen sandy soil tends to decrease and then increase with the increase of the content of some particle sizes. The results of the study can provide theoretical reference for the determination of long-term strength in areas subject to freeze-thaw action. © 2022 Science Press (China).     

Analysis on the sources of mercury in soils in the Chengdu Basin, China

Mercury is a pollutant of concern due to its toxic and bioaccumulative properties. Studies on the distribution and hazard of mercury in the environment are mainly focused on its forms, toxicity and the environment standard, and progresses and results have been achieved. But these studies in the past were concentrated on the scales of laboratory or smaller districts merely, such as a small unit of mineral area, vegetable base, paddy field, lake, etc. Multi-target regional geochemical survey carried out by China Geological Survey from the 1990s to now is a fundamental and commonweal geological survey, large-scale and systematical inquisition and research were conducted in 19 provinces （or municipalities directly under the Central Government） in the eastern overlay region of China, and the purpose is to provide the basic geochemical data for national economic construction, adjustment of industrial and agricultural structures and sustainable social development. Geochemical studies aim at investigating soils in these regions and 52 elements have been tested, producing a great amount of data at the same time. Methods： based on the data from 3061 samples of surface soil and 832 samples of deep soil from the project of multi-purpose geochemical survey in the Chengdu Basin, Sichuan, China, this paper describes the correlation relationship between Hg and other 48 elements and their spatial distribution in surface and deep soils of these areas by applying the method of linear regression and factor analysis.     

Experimental research on adsorption/desorption for petroleum pollutants in the soil in Daqing oilfield

The Daqing oilfield is one of the biggest oilfields in the world. It has been exploited for several decades, which brings serious pollution to local natural environment. The crude oil on ground which is produced in the process of oil production contains various organic pollutants. The petroleum pollutants tend to adsorb, desorb, biodegrade and photolyze and so on in the soil, but adsorption/desorption is a pair of extremely important environment geochemistry behavior. In order to master the rule of petroleum pollutants migration and transformation in the soil environment, and provide scientific evidence for the prevent research project on petroleum pollution treatment in the Daqing oilfield, the chemozem was selected as the experimental sample, which is a kind of representative soil in the Daqing oilfield. The factors affecting adsorbent and desorption＇s characteristics were discussed, including pH of the soil, the concentrations of suspended particulates and temperature. The oscillation-equity was used in the experiment. The mechanism and dynamics process of the adsorption/desorption were researched. The results showed that adsorbing of the petroleum pollutants on the chemozem sediment is a kind of physical adsorption phenomenon. The adsorption function comes from the hydrophobic and sticky character of the petroleum its self. The velocity of adsorption and desorption is almost equivalent, both concentrations of water in the soil are close to the balance in two hours, thus they achieve homeostasis in three hours. The process of adsorption of the petroleum pollutants responses to Herry isothermal model, with increasing pH, concentration of suspended particulates and temperature, the quantity of adsorption show a descending trend. However, desorption is a contrary course of adsorption in the experiment. Due to various influenced phenomena reflect that the soil in the Daqing oilfield has factors, the quantity of desorption shows an ascending trend. These strong adsorption ability to petroleum pollutants.     

冻融试验对土中含水量分布的影响

The silty clay and silty loam are two typical soil types obtained from two test sites along the Qinghai-Tibet railway. The two types of soil have been designed various initial dry densities, water eontents, temperature conditions in repeated freezing and thawing tests with free access to water at the bottom. Afterfreeze-thaw cycles, the moisture content in the freeze-thaw zone increases more than that in the unfrozen zone to the peak approximately at the top of the samples. With comparison of the water contents in the frozen and thawed states, the moisture content in the upper freeze-thaw zone in the frozen state is greater than that in the thawed state, while that in unfrozen zone in the frozen state is smaller than that in the thawed state. Within the region of the frost front, the water content in frozen state is smaller than that in thawed state. These findings help to study the freeze-thaw mechanisms deeply and perfect the forecasting module of moisture transferring in freeze-thaw cycles.     

Permafrost and taliks and their changes on the south and north banks of the Tuotuo River in the Qinghai-Tibet Plateau under the climate warming北大核心CSCD

The distribution of permafrost and taliks is very complex in the Tuotuo River Basin(TRB), which is located in interior of the Qinghai-Tibet Plateau. Characterizing the spatial distribution and the thermal stability of permafrost and taliks is of great significance to community activities and engineering construction in TRB. Based on the zonation of permafrost and talik distribution around TRB conducted in the 1980s, the soil temperature and its variation process of permafrost and taliks in the south and north banks of the Tuotuo River were analyzed by using the observation data of five boreholes(N1~N5)along the Qinghai-Tibet Railway in the north bank and five boreholes(S1~S5)on the first terrace in the south bank. The results showed that, under the climate warming, permafrost and taliks in the north banks experienced significant degradation and warming process. From 2005 to 2020, the permafrost at the N1 borehole has undergone a significant down-draw degradation process, from extremely unstable and high-temperature permafrost to thawed zone. From 2005 to 2013, the annual average ground temperature of the talik at N2 increased at a rate of 0. 3~0. 4 °C·(10a)-1. At Maqutang on the south bank, permafrost prevails from the first-class terrace to the gentle slope of the Kaixinling Mountain, with both through and non-through taliks on the first-class terrace. The spatial distribution and the thermal stability of permafrost and talik in the TRB are further promoted by analyzing the changes in temperatures at boreholes in the basin. However, to meet the requirements of mapping and engineering construction of permafrost and taliks in the TRB, it is still necessary to carry out geological investigation with multiple methods and in-depth research on development mechanism of taliks in the future. © 2022 Nanjing Forestry University. All rights reserved.     

Normal Alkane Distributions in Soil Samples along a Lhasa-Bharatpur Transect

We present n-alkane distributions in the soil samples along a transect from Lhasa on the Tibetan Plateau to Bharatpur in Nepal, which covers a large geographical area and a wide range of climatic conditions. These data allow us to assess the significance of n-alkane distributions in different vegetation types and their relationships to temperature and precipitation. In the tropical rainforest and broadleaved forest zones, n-alkanes exhibit a bimodal distribution pattern with dominant homologues around n-C_(31) and n-C_(23). The bimodal distribution of tropical rainforest n-alkanes may be a general pattern because of the presence of many lianas, epiphytic plants, algae and the strong microbial activity and degradation involved in the postdepositional process. In the warm-temperate mixed forest and needle-leaved forest zones, the long-chain alkanes have a pattern of n-C_(31) n-C_(33) n-C_(27). In the alpine shrub and grassland zone, although the most abundant homologue is n-C_(31) , relatively high n-C_(23) concentrations have also been observed in some samples. The statistical results show a good correlation between n-alkane proxies and climatic factors. The average chain length(ACL) values are positively correlated with precipitation and temperature across the transect. The carbon preference index(CPI) values show a negative correlation with temperature and precipitation along a Lhasa–Bharatpur transect. Although there is a positive relationship between ACL and temperature, it is difficult to separate the two climatic variables(temperature and precipitation) because they are well coupled in the monsoon region.     

The runoff characteristics under simulated rainfall on purple soil sloping cropland

Rainfall runoff is a critical hydrological process related to soil erosion and agricultural non-point pollu-tion. In this study, 25 simulation experiments on rainfall were carried out in five runoff plots. Rape (Brassica campestris) was planted on the downslope of the plots. Experiments were conducted when the vegetation coverage reached 80%. Each plot was subjected to five rainfall events differing in intensity. The results showed: (1) the runoff coefficients of overland flow and subsurface flow were less than 0.6 and 0.005, respectively; (2) the discharge of overland flow was the quadratic function of time; (3) runoff coefficient was the function of slope gradient and rain-fall intensity. When the slope gradient increased from 8.7% to 46.6%, the runoff coefficient of overland flow first increased and then decreased. The runoff coefficient reached the maximum when the slope gradient was within the range of 17.6%-36.4%; and (4) the process of subsurface flow generation included the increasing phase and reces-sion phase. Discharge was a logarithm function of time in the increasing phase, and an exponential function in the recession phase. Runoff coefficient of subsurface flow decreased first and then increased when the slope gradient varied from 8.7% to 46.6% and was not correlated with rainfall intensity.     

基于LSTM的青藏高原冻土区典型小流域径流模拟及预测

冻土覆盖率高的小流域的径流形成受温度因素控制明显,普通水文模型不适用,而常规冻土水文模型因需要较多的气象观测要素而难以应用。考虑冻土流域产流机制,利用青藏高原腹地风火山小流域2017—2018年逐日降水、气温、径流观测数据,以降水、气温为输入,径流为输出,基于长短期记忆神经网络（LSTM）建立了适用于小流域尺度的冻土水文模型,并利用2019年观测数据进行验证。模型得益于LSTM特殊的细胞状态和门结构能够学习、反映活动层冻融过程和土壤含水量变化,具有一定的冻土水文学意义,能很好地模拟冻土区径流过程。模型训练期R²、NSE均为0.93,RMSE为0.63 m³·s^-1,验证期R²、NSE分别为0.81、0.77,RMSE为0.69 m³·s^-1。同时,为了验证模型可靠性,将模型应用于邻近的沱沱河流域,模型训练期（1990—2009年）R²、NSE均为0.73,验证期（2010—2019年）R²、NSE分别为0.66、0.64,模拟结果较好。考虑到未来气候变化,通过模型对风火山流域径流进行了预测：降水每增加10%,年径流增加约12%;气温每升高0.5 ℃,年径流增加约1%;春季融化期、秋季冻结期径流增幅明显,而由于蒸发加剧、活动层加深,径流在8月出现了减少。模型经训练后依靠降水、气温作为输入能较好地模拟、预测青藏高原冻土区小流域径流,为缺少土壤温度、水分等观测数据的冻土小流域径流研究提供了一种简单有效并具有一定物理意义的方法。     

基于Worldview-3与Sentinel-1 SAR数据的草原矿区复垦植被生物量反演方法研究

利用多源遥感数据定量反演矿区复垦植被生物量是高效、动态、大面积监测土地复垦和生态恢复效果的必要手段之一。本文以内蒙古草原露天煤矿为研究区,联合遥感光学与雷达数据各自的优势,探索基于Worldview-3(WV-3)与Sentinel-1 SAR数据的矿区复垦植被生物量反演方法,选择主成分-小波变换(W-PCA)算法对WV-3与Sentinel-1 SAR数据进行融合,揭示波段反射率、植被指数、后向散射系数及纹理特征等参数与生物量之间的相关关系,建立多变量的生物量反演模型,并分析不同生物量模型的空间不确定性。结果表明:(1)通过W-PCA算法得到融合后的图像,信息熵的提高反映了融合图像与光学WV-3图像相比具有更多的细节信息,平均梯度的提高反映了融合图像与Sentinel-1 SAR图像相比具有更高的清晰度和更丰富的纹理信息。融合后的第8波段相关系数最高、光谱扭曲度最低、光谱保真度最高。(2)通过相关性分析,发现增强型植被指数(EVI)、归一化植被指数(NDVI)、VH极化、VH均值纹理以及融合后第8波段与生物量显著正相关。WV-3的NDVI与Sentinel-1的VH_ME建模精度(R²=0.834 0,RMSE=16.464 6 g/m²,Ac=81.52%)最高,融合后的第8波段验证精度(R²=0.798 3,RMSE=22.828 3 g/m²,Ac=74.64%)最高。(3)基于不同模型的残差不确定性分析,Sentinel-1 SAR数据变量建立的模型估测结果更容易出现高估及饱和现象,两者联合变量建立的模型可实现优势互补,利用融合数据建立的模型明显改善生物量小于40 g/m²时的高估计现象以及生物量大于100 g/m²时的两者饱和现象,其不确定性降低2.42~9.68 g/m²。因此,利用光学和雷达遥感融合能够有效提高复垦植被生物量的估算精度,为草原矿区复垦植被精细监测提供有效的数据支持。     

高寒植被生态系统变化对土壤物理化学性状的影响

在黄河源区选择典型样地,对土壤有机质(SOM)、全氮(N)等化学性状及土壤机械组成、容重和土壤导水率等物理特性进行分析.结果表明,植被退化导致土壤物理化学性状显著退化.灌丛草甸草地土壤表层有机质(SOM)从179.58 g·kg^-1降到49.48 g·kg^-1,表层碱解N流失率为30%,退化嵩草草甸表层有机质SOM减少53%,碱解N损失率为28.4%.沼泽地有机质SOM减少了15.11 g·kg^-1.退化后的土壤土层厚度变薄,土壤颗粒变粗,土壤水分分布和含量出现变化,土壤出现沙化,土壤容重增大,土壤导水率与植被盖度有很好的相关性.研究表明,高寒植被生态系统的变化引起了土壤理化特性的强烈变化,高寒土壤环境出现退化.     

2001-2018年石羊河流域植被变化及其对流域管理的启示

植被是流域生态系统的重要指标,植被景观管理也是流域综合管理的重要内容。综合利用长时间序列MODIS反射率和归一化差值植被指数（NDVI）产品及Landsat卫星遥感影像,基于谷歌地球引擎（GEE）平台,利用计算机自动分类的方法,监测了2001-2018年间石羊河流域的植被（包括灌溉土地）的逐年变化,结合降水、径流量和地下水位地面监测数据,分析了全流域植被指数、植被面积、灌溉土地范围的变化特征及其与水循环之间的互馈关系。研究发现,2001-2018年间,石羊河流域的植被面积以每年约135 km²的速率增加,其中,自然植被和灌溉土地分别以每年60.5 km²和74.6 km²的速率增加。除了金昌区的植被增加以灌溉土地为主外,其他区域都以自然植被的增加为主。特别是民勤地区,由于十多年的持续调水和有效退耕,地下水位近年来开始抬升,自然植被开始恢复。但与此同时,中游凉州区和永昌县的生态风险加大。未来可从灌溉规模控制、地表与地下水统一调度、景观分级和配置技术发展、优化产业结构、强化与流域外的连通性等方面加强流域综合管理,提高流域社会系统弹性,增强可持续发展能力。     

NDVI dynamic changes and their relationship with meteorological factors and soil moisture

Normalized difference vegetation index (NDVI) is an important indicator for measuring vegetation coverage, which is of great significance for evaluating vegetation dynamics and vegetation restoration. It can clearly analyze the suitable growth condition of vegetation by studying the relationship between meteorological factors, soil moisture and NDVI. Based on MODIS/NDVI data, the spatio-temporal characteristics of vegetation coverage in the Weihe River Basin (WRB) were analyzed by the trend analysis method. The relationship of NDVI with meteorological factors and NDVI with soil moisture simulated by the soil and water assessment tool (SWAT) model was analyzed in this paper. The results show that NDVI values gradually change with an increase from north to south in the WRB. The maximum of the average monthly NDVI is 0.702 (August) and the minimum is 0.288 in February from 2000 to 2015. The results of the seven grades of NDVI trend line slope indicate that the improvement area of vegetation coverage accounts for 30.93% of the total basin, and the degradation area and basically unchanged area account for 23% and 42.9%, respectively. The annual mean soil moisture is 19.37% in the WRB. There was a strong correlation between NDVI and precipitation, temperature, evaporation and soil moisture, and the correlation coefficients were 0.78, 0.89, 0.71 and 0.65, respectively. The ranges of the most suitable growth conditions for vegetation are 80–145 mm (precipitation), 13–23 °C (temperature), 94–144 mm (evaporation) and 25–33% (soil moisture), respectively.     

多年冻土区风火山流域降水河水稳定同位素特征分析

由于多年冻土区流域土壤冻融过程对水循环影响的复杂性,水循环物理过程观测存在困难和不足,而利用稳定同位素方法可以有效地解决该问题。因此,基于2009年长江源风火山流域夏季定点降水和河水δD和δ¹⁸O,对研究区降水河水稳定同位素特征进行分析。结果表明,研究区夏季降水δD和δ¹⁸O受到降水量和温度的双重影响,即受海洋性和大陆局地气团的交替影响。河水氢氧同位素的季节变化和空间差异与壤中流、地下水补给河流的季节差异和植被覆盖的空间差异有关。随着地温升高和土壤冻融锋面的迁移,河水补给来源和同位素特征发生改变,表明土壤冻融变化对多年冻土流域径流过程起到重要作用。此外,蒸发分馏作用是研究区河水同位素的重要影响因素。     

大兴安岭多年冻土泥炭地无机氮动态对秋季冻融的响应北大核心CSCD

大兴安岭多年冻土泥炭地是对全球变暖响应敏感的地区之一。在全球变暖、多年冻土退化背景下,为了探明秋季冻融对多年冻土泥炭地无机氮时空变化的影响,本研究于2019年9—11月以大兴安岭三种多年冻土泥炭地为研究对象进行野外原位实验,分析了秋季冻融前、中和后期多年冻土泥炭地浅层和深层土壤无机氮的时空变化特征以及浅层和深层土壤含水量和温度的变化规律,建立了土壤无机氮含量与土壤温度和含水量间的多元线性回归模型。研究表明:多年冻土小叶章泥炭地(XY)、兴安落叶松-泥炭藓泥炭地(XA)和白毛羊胡子苔草泥炭地(BM)的土壤铵态氮(NH_(4)^(+)-N)含量变化范围:(1.00±0.00)~(20.60±0.20)mg·kg^(-1),硝态氮(NO_(3)^(-)-N)含量的变化范围:(0.02±0.01)~(14.64±1.11)mg·kg^(-1),且无机氮以土壤NH_(4)^(+)-N为主;秋季冻融后期无机氮含量明显高于前期。尽管水热交互作用对该时期无机氮没有显著影响,但是在不同冻融阶段,无机氮对环境因子的响应程度存在差异:在秋季冻融前、中和后期浅层无机氮动态分别与浅层温度和含水量的变化相关,但在整个秋季冻融期间BM浅层无机氮含量仅对10~20 cm含水量存在响应(R^(2)=0.344,P<0.01)。研究表明,秋季冻融期内,多年冻土泥炭地无机氮发生初步累积,且浅层环境因子对无机氮响应程度最大。本研究可补充大兴安岭多年冻土泥炭地秋季冻融对土壤无机氮影响研究的相关数据,并为多年冻土泥炭地响应全球变暖的温室气体释放的研究提供基础数据支撑。     

基于EVI和MNDWI指数的石羊河流域水体、植被时空变化特征

水体和植被是生态环境的重要自然要素,水体和植被的动态研究对认识干旱区生态环境的变化过程及保护和恢复具有重要的理论和实践意义。基于2001-2016年96期MODIS遥感数据和1992、1998、2004、2010、2016年5年Landsat遥感数据,提取EVI植被指数和改进的归一化水体指数（MNDWI）,结合一元线性回归趋势分析方法对石羊河流域的水体和植被的时空变化特征进行了分析。结果表明,近16年来,流域植被EVI整体呈增加趋势,植被覆盖度上升,但随着季节变化,上、中、下游植被覆盖度变化分异明显;EVI植被指数年际变化倾向率与之一致。植被覆盖小幅增加地区占21.5%（春）、14.9%（夏）、8.8%（秋）,保持不变区域占流域总面积的52.5%（春）、40.2%（夏）、35.0%（秋）;此外,仍有轻度退化区和严重退化区。近25年来,研究区水域面积总体呈增大-减小-增大的波动变化趋势,1998年水域面积增大至725.92 km²,此后水域面积2010年减小至710.11 km²;但2010年以后水域面积又呈稳定增加趋势,水域面积2016年增加至723.00 km²。自然因素和人为因素是研究区水体和植被时空变化的驱动因素。     

祁连山亚高山灌丛林土壤呼吸速率的时空变化及其影响分析

采用美国Li-COR公司生产的LI-6400-09土壤呼吸室和LI-6400便携式光合作用测量系统,在2004年生长季节对祁连山亚高山灌丛林土壤呼吸速率进行了连续观测.结果表明:在整个生长季祁连山亚高山灌丛林土壤呼吸速率的空间变化为随着海拔梯度的增加,土壤呼吸速率逐渐减小,其变异系数逐渐增加;生长季节土壤呼吸速率晚间维持在较低水平,2:00-6:00最低,在7:00-8:30开始升高,11:00～6:00达到最大值,16:00～8:30开始下降,整个过程呈单峰曲线.土壤呼吸速率的日平均值介于(0.79±0.60)μmol·m^-2·s^-12.49±0.97μmol·m^-2·s^-1.土壤呼吸速率7⁸月份达到最大值(5.861μmol·m^-2·s^-1),5月与9月份次之,4月与10月份基本一致,整个生长过程总的变化趋势呈单峰曲线形式.亚高山灌丛林土壤呼吸的空间变异主要受温度、水分和植物根系的综合影响.     

季节冻土区黑土耕层土壤冻融循环期湿度与温度变化研究

在黑龙江省水利科学研究院水利试验研究中心的综合实验观测场, 利用2011年11月-2012年4月一个冬季冻融循环期的实测黑土耕层剖面土壤湿度和温度数据, 对典型中-深季节冻土区黑土耕层土壤湿度与冻结融化期土壤温度变化进行研究. 根据阳坡的黑土耕层土壤浅层1 cm、 5 cm、 10 cm及15 cm四种不同深度, 对冻融循环过程中土壤湿度随冻结融化期土壤温度变化特征进行分析, 研究黑土耕层土壤冻融过程中不同深度土壤水分的变化情况, 了解降水和温度对不同深度土壤湿度变化的影响. 结果表明: 在北京时间08:00、 14:00及20:00, 阳坡15 cm、 10 cm、 5 cm及1 cm深度黑土耕层土壤湿度随冻结融化期土壤温度变化的线性相关可决系数分别为0.9298、 0.9216、 0.5989、 0.7281, 斜率平均标准偏差分别为0.017、 0.019、 0.095、 0.056, 截距平均标准偏差分别为0.17、 0.25、 1.31、 0.83. 阳坡10 cm及15 cm深度的黑土耕层土壤湿度随冻结融化期土壤温度变化呈十分显著的线性相关关系. 阳坡5 cm深度的黑土耕层土壤湿度在冻结融化期与土壤温度变化线性关系稍微显著. 在整个冻结融化期, 因受太阳辐射、 降水及蒸发的强烈影响, 阳坡浅层1 cm深度黑土耕层土壤湿度与土壤温度线性相关性不如10 cm及15 cm深度的关系显著, 但比5 cm深度的关系显著.