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1.
黄河三角洲蒸散的遥感研究 总被引：16，自引：0，他引：16
蒸散是水资源管理的一个重要参数。与传统的蒸散计算方法相比 ,利用遥感进行蒸散研究具有快速、准确、大区域尺度及地图可视化显示等特点。 SEBAL模型是一个应用遥感影像收集到的可见光波段、近红外和热红外波段信息对大区域范围进行蒸散计算的模型 ,它是基于地表能量平衡方程 ,通过计算地表净辐射通量 ,土壤热通量和显热通量 ,最后计算出用于蒸散的潜热通量 ,进而计算出遥感影像拍摄时的瞬时蒸散及当天的总蒸散量。本文利用 SEBAL模型采用 ETM+影像对黄河三角洲进行了遥感蒸散研究 ,并对黄河三角洲的蒸散特点进行了分析。蒸散研究对黄河三角洲水资源的合理利用有潜在的指导意义。 相似文献
2.
对渭-库绿洲蒸散发量的估算在绿洲水资源管理和分配以及生态环境的保护方面扮演着重要作用,同时对于深刻了解流域水循环和水文过程也具有重要意义。本文以渭干河-库车河绿洲为研究靶区,将Landsat TM/OLI遥感数据与地面气象站点实测数据相结合,利用SEBAL模型估算了渭-库绿洲1997年和2016年的日蒸散量,并对日蒸散量的空间分布特征及日蒸散量与相关地表参数的相关性进行了分析。结果表明:渭-库绿洲日蒸散量的空间分布表现为西高东低,北高南低的分布特征,其高值出现在水体和植被覆盖较多的绿洲内部区域,低值则分布在研究区东、东南和西部的低植被覆盖区域;在日蒸散量与植被指数(NDVI、SAVI、LAI)、水体指数(MNDWI、NDWI、TVI、VSWI、TVDI)和地表温度(LST)等地表参数的相关性方面,研究时段内全部地表参数与日ET具有较高的相关关系,Pearson相关系数都通过0.01水平的显著性检验,其中NDWI与日蒸散量表现出了最好的相关性,表明在渭-库绿洲水分对日蒸散量分布与变化的影响是最大的。 相似文献
3.
本研究利用厦门市4个季节的Landsat-5 TM遥感影像和气象资料,反演地表净辐射通量,进而分析其季相变化特征;使用景观格局指数表征和描述地表覆盖的空间组成与配置,采用相关分析、偏相关分析、逐步回归和方差分解相结合的方法,从多季节角度研究地表覆盖格局对地表净辐射通量的影响。结果表明：① 厦门市地表净辐射通量平均值夏季最高,春季次之,秋季和冬季较低,地表净辐射通量在水体和林地区域较高,建设用地和裸地等其他地表覆盖类型区域较低;② 地表覆盖的空间配置对地表净辐射通量没有显著影响;③ 地表覆盖的空间组成对地表净辐射通量产生重要影响,全年内林地和裸地所占面积比例对地表净辐射通量的影响最显著,林地所占面积比例是影响和解释地表净辐射通量跨季节差异的最重要和持续有效的因素。该研究加深了关于地表覆盖格局对地表净辐射通量的影响的科学认知,有助于探索城市热岛的形成和演变机制,也可为城市规划和可持续发展提供理论依据和实践指导。 相似文献
4.
近50年中国地表净辐射的时空变化特征分析 总被引：1，自引：0，他引：1
基于GIS空间分析技术与Mann-Kendall趋势分析方法,对中国陆地区域699个气象站点1961-2010年逐年、季平均地表净辐射进行时空变化特征分析,结果表明:(1)参数拟合后的FAO Penman修正式对模拟站点逐日地表净辐射的总体精度较高,均方根误差为27.9W.m-2,相关系数为0.85,平均相对误差为0.13;(2)全国近50年站点平均地表净辐射在年、季均呈现出较明显的下降过程,年均降幅为0.74W.m-2.10a-1,不同季节的下降幅度存在差异,夏季降幅最大;(3)逐站点分析显示全国大部分站点(59.8%)年均地表净辐射呈显著下降趋势(0.05),东部趋势变化比西部明显,夏季在地表净辐射年际变化中的贡献最大,华北、华中、华南地区的站点在春夏秋季均呈显著下降趋势。 相似文献
5.
基于2000-2014年MOD16蒸散量和气象站实测数据,借助于空间数据统计法和趋势分析法对中国西北干旱区“天山湿岛”—伊犁河谷地表蒸散量时空变化特征和多年变化趋势进行定量分析。结果表明:① MOD16-ET产品在伊犁河谷地区的精度总体上满足要求,可用于地表ET的时空分布特征研究;② 伊犁河谷地表ET、PET年际波动不大,多年平均ET为392.35 mm,多年平均PET为1331.19 mm,年均ET与PET的比例在0.26-0.33之间波动,说明研究区总体上水分不足。ET、PET年内分布处于先增大后减少的单峰型变化趋势,主要集中在5月到9月。秋季ET与PET的比例为0.29,此时研究区最干旱缺水。气温是研究区蒸散量变化的主要驱动因素之一。③ ET、PET的空间分布状况正好相反,东部喀什河及巩乃斯河上游地区、南部大面积草甸覆盖区域ET值较高,PET值较低,此区域水分比较充足。伊宁市及霍尔果斯河周边地区、察布查尔县、特克斯河下游等区域ET值均较低,PET值较高,此区域干旱缺水;④ 从2000-2014年伊犁河谷地表ET、PET变化趋势来看,ET总体上处于减少趋势,PET处于增加趋势,说明研究区近15年内干旱加重。 相似文献
6.
近30年来中国陆地蒸散量和土壤水分变化特征分析 总被引：3，自引：0，他引：3
对NOAH陆面模式模拟的近30年中国陆地蒸散量和土壤含水量,按照6大片区和5种生态系统类型进行了统计分析。讨论全国以及各大区不同生态系统类型蒸散和土壤含水量的变化,研究不同类型蒸散和土壤含水量的关系。中国陆地蒸散量总体呈增加的趋势,年内蒸散量最大的月份是7月,年末和年初蒸散量较小。而我国中南、西南、华东、东北和西北蒸散量变化趋势和全国的总趋势一致,呈增加的趋势。华北地区蒸散量近30年来总体趋势是下降的,华北蒸散量最大的年份是上世纪90年代。在所有生态系统类型中,林地蒸散最大的有东北、华东、西南和中南4区;而华北和西北草地在各类型中蒸散量所占比例最高。6大片区对比,林地蒸散水量最大的地区是西南和中南,最小的西北;草地蒸散水量最大的地区是西南,最小的是东北区;农田蒸散水量最高的是华东,最低的是西北;荒漠蒸散量最大的片区是西北;湿地蒸散最大的是东北。80年代以来,全国土壤含水量总体呈下降的趋势。从各片区的情况看,仅西北地区稍有增加,其余5区土壤含水量皆是下降的。植被覆盖度和土壤水分是影响蒸散量最重要的因子,在植被覆盖较差时,土壤水分和蒸散量相关性较好。 相似文献
7.
利用2000-2009年中国气象局（CMA）地表太阳辐射台站资料,对欧洲中期天气预报中心（ECMWF）地表太阳下行短波辐射产品进行多时间尺度的计算与分析,检验ECMWF地表辐射产品对于中国地区太阳辐射特征的表现。本文通过聚类分析将中国地区分为8个区域,考虑到ECMWF大气因素对ECMWF地表辐射的影响和大气因子分布的空间异质性,引入地理探测器对ECMWF再分析辐射产品的时空误差进行定量分析,来判明影响ECMWF辐射精度的主要大气因子。结果表明：总体上看,ECMWF地表太阳辐射要高于地面观测数据,月均偏差为18.28W/m2;ECMWF地表太阳辐射表现出季节性差异,夏秋季节明显好于春冬季节,相对偏差较大的数据集中分布在12、1、2和3月,相对偏差较小的数据集中分布在6、7、8和9月;不同区域在冬季和夏季的主导大气影响因子不同,夏季中国西北（1区）、高原（3区）、西南（4区）和四川盆地（5区）地区主导影响因子都是气溶胶,东南（6区）地区的主导影响因子是地表反照率和气溶胶,中东部地区（7区）的主导影响因子是云覆盖率和气溶胶,但是因子解释较小,分别为0.0228和0.0202,东北地区（8区）4个因子均未通过显著性系数检验,因子对相对偏差的变化影响不显著;冬季中国西北（1区）、高原（3区）、中东（7区）、东北（8区）和四川盆地（5区）地区的主导影响因子都是云覆盖率,西南（5区）和东南（6区）地区的辐射主要受到气溶胶的影响。 相似文献
8.
为了研究青藏高原及周边地区波动E-P通量的分布与变化特征,利用1965～2010年NCEP/NCAR月平均再分析资料,计算了三维E-P通量,经过分析,得到如下主要结论：（1）对流层波动E-P通量的活动中心位于青藏高原南部.（2）波动E-P通量有着明显的季节变化.其中夏季的强度最大,且夏季与冬季相比,垂直分量正负值中心位置的分布几乎相反.从夏季到冬季,E-P通量垂直分量的正值中心逐渐向东北方向移动.（3）波动E-P通量的年代际变化也比较显著.从20世纪70年代中期到80年代前期,波动E-P通量变化平缓;80年代中期至90年代中期,变化很大,90年代中期达到最强,后又开始逐渐变缓. 相似文献
9.
基于地表能量平衡的厦门岛城市功能区人为热排放分析 总被引：2，自引：0，他引：2
人为热排放不仅是城市热岛形成的重要因子,而且是与能源消耗密切相关的指标,对其大小和变化特征进行分析有利于减缓城市热岛与节能减排。本文以厦门岛为研究区,利用2009年多时相的Landsat TM影像和地表能量平衡模型反演出不同季节的人为热排放,在此基础上结合IKONOS影像解译的城市功能区,分析不同类型城市功能区人为热排放的时空变化特征。结果表明：不同类型城市功能区的人为热排放均在夏季达到最大,春季最小;工业区的人为热排放一直高于其他类型的城市功能区;工业区人为热排放高值区主要集中厦门岛西部传统的重点工业区,交通区人为热排放高值区的空间分布与厦门岛“三纵四横”的交通干线分布格局相吻合,居住区人为热排放高值区主要集中在旧城区,商业及公共设施区人为热排放高值区主要集中在单体建筑大的商圈和公共设施;总体上厦门岛西部的人为热排放比东部要高。这种时空分布的差异性与用地类型、人口数量与经济发展程度密切相关,而且建筑物的密度、高度和下垫面的材料通过影响其他地表通量来改变人为热排放的大小。通过分析不同城市功能区人为热排放的时空变化特征,可以从更微观的角度理解城市热环境和能源利用现状,为促进城市可持续发展提供理论依据。 相似文献
10.
《广东海洋大学学报》2018,(1)
目的】研究了珠江口区域近年来大气湿沉降中无机氮的变化特征及其对近海海水生态系统的影响。【方法】对2003-2014年珠海市香洲地区湿沉降中NO_3~--N和NH_4~+-N浓度及湿沉降通量的变化特征进行了分析。【结果】香洲地区湿沉降中NO_3~--N和NH_4~+-N的浓度均有明显的季节变化,表现为旱季高而雨季低,与降雨量呈相反的变化趋势;氮素的浓度在年际变化有波动,但无明显变化趋势;氮素湿沉降通量与浓度变化相反,雨季明显高于旱季;降水量、当地污染状况、大气中污染物(气溶胶粒子)浓度、降雨类型以及气象条件等因素是造成季节差异的主要原因;此外,香洲地区大气无机氮湿沉降具有很强的事件特征。【结论】香洲地区氮素湿沉降浓度春秋季高于海水,且DIN成分比例与海水有差异,可能改变表层水体营养盐结构,影响浮游植物的生长。 相似文献
11.
The energy budget and regulating factors were investigated over an estuarine wetland during one year of continuous measurement in 2006.The results show that the seasonal changes of the energy fluxes and Bowen ratio(β) were greatly affected by incoming shortwave radiation and canopy growth.During the non-growing season and early-growing season, sensible heat(H) dominated the energy flux, and β could reach a maximum of 2.5, while during most of the growing season, latent heat dominated the energy flux and β fluctuated from 0.4 to 1.0.The energy budget ratio in growing season was about 0.76, and the value would be higher if heat exchange during tidal flooding was in-cluded.During tidal flooding days, β was slightly higher than that at exposure days in most cases.Vegetation cover seems exert little effect on energy partitioning except in March when the standing dead grass intercepted the incoming radiation that might reach the soil surface and reduce the turbulence between soil and atmosphere, thus suppressing the evaporation from the soil though the soil mositure was high at that time. 相似文献
12.
《中国地理科学(英文版)》2020,(5)
Land surface hydrothermal conditions(LSHCs) reflect land surface moisture and heat conditions, and play an important role in energy and water cycles in soil-plant-atmosphere continuum. Based on comparison of four evaluation methods(namely, the classic statistical method, geostatistical method, information theory method, and fractal method), this study proposed a new scheme for evaluating the spatial heterogeneity of LSHCs. This scheme incorporates diverse remotely sensed surface parameters, e.g., leaf area index-LAI, the normalized difference vegetation index-NDVI, net radiation-Rn, and land surface temperature-LST. The LSHCs can be classified into three categories, namely homogeneous, moderately heterogeneous and highly heterogeneous based on the remotely sensed LAI data with a 30 m spatial resolution and the combination of normalized information entropy(S') and coefficient of variation(CV). Based on the evaluation scheme, the spatial heterogeneity of land surface hydrothermal conditions at six typical flux observation stations in the Heihe River Basin during the vegetation growing season were evaluated. The evaluation results were consistent with the land surface type characteristics exhibited by Google Earth imagery and spatial heterogeneity assessed by high resolution remote sensing evapotranspiration data. Impact factors such as precipitation and irrigation events, spatial resolutions of remote sensing data, heterogeneity in the vertical direction, topography and sparse vegetation could also affect the evaluation results. For instance, short-term changes(precipitation and irrigation events) in the spatial heterogeneity of LSHCs can be diagnosed by energy factors, while long-term changes can be indicated by vegetation factors. The spatial heterogeneity of LSHCs decreases when decreasing the spatial resolution of remote sensing data. The proposed evaluation scheme would be useful for the quantification of spatial heterogeneity of LSHCs over flux observation stations toward the global scale, and also contribute to the improvement of the accuracy of estimation and validation for remotely sensed(or model simulated) evapotranspiration. 相似文献
13.
Zonal heat advection （ZHA） plays an important role in the variability of the thermal structure in the tropical Pacific Ocean, especially in the western Pacific warm pool （WPWP）. Using the Simple Ocean Data Assimilation （SODA） Version 2.02/4 for the period 1958-2007, this paper presents a detailed analysis of the climatological and seasonal ZHA in the tropical Pacific Ocean. Climatologically, ZHA shows a zonal- band spatial pattern associated with equatorial currents and contributes to forming the irregular eastern boundary of the WPWP （EBWP）. Seasonal variation of ZHA with a positive peak from February to July is most prominent in the Nifio3.4 region, where the EBWP is located. The physical mechanism of the seasonal cycle in this region is examined. The mean advection of anomalous temperature, anomalous advection of mean temperature and eddy advection account for 31%, 51%, and 18% of the total seasonal variations, respectively. This suggests that seasonal changes of the South Equatorial Current induced by variability of the trade winds are the dominant contributor to the anomalous advection of mean temperature and hence, the seasonality of ZHA. Heat budget analysis shows that ZHA and surface heat flux make comparable contributions to the seasonal heat variation in the Nifio3.4 region, and that ZHA cools the upper ocean throughout the calendar year except in late boreal spring. The connection between ZHA and EBWP is further explored and a statistical relationship between EBWP, ZHA and surface heat flux is established based on least squares fitting. 相似文献
14.
In this study, meteorological factors and snowmelt rate at an open site on sunny slope(OPS) and beneath forest canopy openness on shady slope(BFC) were measured using an automatic weather station and snow lysimeter during the snowmelt period in 2009, 2010 and 2013. The energy budget over snow surface was calculated according to these meteorological datasets. The analysis results indicated that the net shortwave radiation(K) and sensible heat flux(H) were energy sources, and the latent heat flux(LVE) was energy sinks of snow surfaces at all sites. The net longwave radiation(L) was energy sink at OPS and 80% BFC, but energy source at 20% BFC. The gain of K, H, and the loss of LVE at BFC were obviously lower than those at OPS. The L was the maximum difference of energy budget between snow surface at BFC and OPS. In warm and wet years, the most important factor of the energy budget variation at OPS was air humidity and the second mostimportant factor was air temperature. However, the ground surface temperature on the sunny slope was the most important factor for L and energy budget at BFC. With the increases in forest canopy openness and the slope of adjacent terrains, the influences of ground surface temperature on the sunny slope on L and the energy budget over snow surface at BFC increased, especially when the snow cover on the sunny slope melts completely. 相似文献
15.
双源能量平衡模型（Two Source Energy Balance, TSEB）和双温度差模型（Dual Temperature Difference, DTD）目前已应用于不同的下垫面类型和环境条件下地表蒸散发估算研究,但是由于模型构建理论机理的差异,模型表现会随着下垫面类型和环境条件的变化而有所不同。因此,本研究选取了黑河流域高寒草地、半干旱区灌溉农田以及干旱区河岸林3种下垫面类型地面观测数据,系统分析了DTD模型和TSEB模型的适用性以及主要误差来源。结果表明:① 在瞬时尺度上,DTD模型在高寒草地上估算潜热通量的误差较小,其RMSE为62.00 W/m2,而TSEB模型的RMSE为75.49 W/m2,2个模型的精度会随着植被覆盖度的增加而出现差异;在半干旱区灌溉农田区域,2种模型表现较为一致,但是在干旱区河岸林,2种模型都低估了潜热通量,且模型误差较大;② 在日尺度上,DTD模型和TSEB模型的表现与瞬时尺度表现较为一致,同时2种模型拆分的植被蒸腾比与基于uWUE模型（Water Use Efficiency, uWUE）拆分的结果吻合较好,但DTD模型的表现要优于TSEB模型;③ 相比较DTD模型而言,TSEB模型对地表温度输入误差更为敏感。本研究通过对比DTD模型和TSEB模型在不同下垫面和环境条件的表现,为今后模型优化提供了理论依据。 相似文献
16.
Precipitation has a significant influence on the hydro-thermal state of the active layer in permafrost regions, which disturbs the surface energy balance, carbon flux, ecosystem, hydrological cycles and landscape processes. To better understand the hydro-thermal dynamics of active layer and the interactions between rainfall and permafrost, we applied the coupled heat and mass transfer model for soil-plant-atmosphere system into high-altitude permafrost regions in this study. Meteorological data, soil temperature, heat flux and moisture content from different depths within the active layer were used to calibrate and validate this model. Thereafter, the precipitation was increased to explore the effect of recent climatic wetting on the thermal state of the active layer. The primary results demonstrate that the variation of active layer thickness under the effect of short-term increased precipitation is not obvious, while soil surface heat flux can show the changing trends of thermal state in active layer, which should not be negligible. An increment in year-round precipitation leads to a cooling effect on active layers in the frozen season, i.e. verifying the insulating effect of "snow cover". However, in the thawed season, the increased precipitation created a heating effect on active layers, i.e. facilitating the degradation of permafrost. The soil thermal dynamic in single precipitation event reveals that the precipitation event seems to cool the active layer, while compared with the results under increased precipitation, climatic wetting trend has a different influence on the permafrost evolution. 相似文献
17.
Qu Tang-dong 《中国海洋湖沼学报》1996,14(1):83-90
The general features of the seasonal surface heat budget in the tropical western Pacific Ocean, 20° S–20°N, western boundary
−160°E, were documented by Qu (1995) using a high-resolution general circulation model (GCM, Semtner & Chervin, 1992) and
existing observations. Close inspection of the smaller areas, with the whole region further partitioned into six parts, showed
different mechanisms balance the seasonal surface heat budget in different parts of the region. The results of study on five
subregions are detailed in this article. In the equatorial (3°S–3°N) and North Equatorial Countercurrent (3°N–9°N) region,
the surface heat flux does not change significantly throughout the year, so the surface heat content is determined largely
by vertical motion near the equator and roughly half due to horizontal and half due to vertical circulation in the region
of the North Equatorial Countercurrent (NECC). In the other subrigions (9°N–20°N, 20°S–11°S and 11°S–3°S), however, in addition
to ocean dynamics, surface heat flux can also play a major role in the seasonal variation of sea surface temperature (SST).
The remotely forced baroclinic waves and their effect on the surface heat storage in the model are also investigated. Comparison
with observations indicates that the model wave activities are reasonably realistic.
Contribution No. 2396 from the Institute of Oceanology, Chinese Academy of Sciences.
This study was supported by the Australian CSIRO Division of Oceanography and the National Natural Science Foundation of China
(No. 49176255) 相似文献
18.
Energy balance at the glacier surface is important for understanding the impacts of climate change on glaciers. Here, we analyzed the characteristics of the glacier surface energy fluxes along with their contributions to glacier melt on Bayi Ice Cap in Qilian Mountains by using a point-scale energy balance model. The half-hourly meteorological data from an automatic weather station (AWS) located on the glacier was used to drive the energy balance model. The model simulated results could accurately represent the mass-balance observations from the stake near the weather station during summer 2016. Our results showed the net radiation (86%) played an important role in the surface energy balance, and the contribution of the turbulent heat fluxes (14%) to the energy budget was relatively less important. A distinct behavior of energy balance, as compared to other continental glaciers in China (e.g., two adjacent glaciers Laohugou No. 12 Glacier and Qiyi Glacier), is the fact that a sustained period of positive turbulent latent flux exists on Bayi Ice Cap during August, causing faster melt rate in the month of August. Our study also presented the effect of frequent summer snowfall in slowing down surface melt by changing the surface albedo during the beginning of the melting season. 相似文献
19.
This study examined the thermal effects of building‘s external wall surfaces, using observational data of spatial-temporal distribution of surface temperature, air temperature, and heat flux into and out of external surface. Results indicate that external wall surface temperature and nearby air temperature vary with the change of orientation, height and season. In general, the external wall surface temperature is lower near the ground, and is higher near the roof, than nearby air temperature. But north wall surface temperature is mostly lower than nearby air temperature at the same height; south wall surface temperature during the daytime in December, and west wall surface temperature all day in August, is respectively higher than nearby air temperature. The heat fluxes into and out of external wall surfaces show the differences that exist in the various orientations, heights and seasons. In December,south wall surface at the lower sites emits heat and north wall surface at the higher sites absorbs heat. In April, all external wall surfaces, emit heat near the ground and absorb heat near the roof. In August, west wall surface all day emits heat, and other wall surfaces just show the commensurate behavior with that in April. 相似文献