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区域尺度地表水热的遥感模拟及应用研究 【作者】刘朝顺 【导师】高炜; 高志强

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6EGdR(_3L0【作者】刘朝顺导师高炜; 高志强水利论文`9}(x V,I$s.AN
【作者基本信息】南京信息工程大学,大气遥感科学与技术,2008年,博士水利论文3T%E9B LfET}:VO\;@2H

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u{9|F)h$U r(q}Qi0【中文摘要】 区域尺度地表水热遥感监测与模拟研究是目前遥感技术在水资源领域应用研究的热点和前沿问题。用遥感技术实现大范围地表能量和水分动态监测,可以在水资源、气候、生态、农业等领域中发挥重要作用,过去几十年的研究虽然取得了许多重要成果,但由于地表水热过程的时空复杂性,依然面临很多有待突破的重要问题。本论文以此为出发点,对与所研究问题关系密切问题展开研究,并以山东省为研究区进行实证研究,具有比较重要的理论意义和实践价值。论文具体的研究工作和结论如下:1)分析了地表空间异质性对水热通量遥感模拟的影响,指出选择合适的遥感尺度须权衡遥感观测的有限性和水热过程的复杂性。然后分别基于土地覆盖图斑尺度、像元尺度、地表属性的半方差以及多尺度一致性指数分析基础上,检验了研究区域的空间尺度,综合检验结果表明研究区的空间异质性尺度约在250~500m左右。2)实现将数字高程模型(DEM)引入SEBAL模型中进行地形因子(坡度、坡向和海拔高度)的校正,拓展了区域蒸散模型的适用范围。基于NASA陆面资料同化系统的地表动力参数查找表,利用土地覆盖信息和遥感植被指数动态估算的地表粗糙高度和零平面位移等地表动力学参数。对改进的模...更多型进行了输入参数的敏感性分析,结果表明模型对LST最敏感,Albedo、NDVI次之,对风速和地表动力粗糙度的敏感性较低。模型较为稳定,各输入参数改变一定量没有引起蒸散反演结果显著的变化量。分析了地形因子——海拔高度、坡度、坡向对模型模拟结果的影响,表明如没有考虑地形影响将会高估高海拔区域及阴坡区域的蒸散量,约偏大30%左右。3)引入地表属性的邻域相似性改进Kustas等的热增强方法,并在研究过程中实现了利用250m MODIS植被指数将1km的地表温度、反照率的分辨率提高到250m,以充分利用MODIS数据的时间分辨率和空间分辨率的优势,构建满足研究区的空间异质性尺度要求的日常的区域水热通量监测的驱动数据,使进行较高频率的大面积水热通量监测具有很好的可操作性。利用区域蒸散模型,基于改进的MODIS驱动数据模拟的地表蒸散结果,在不同的时间尺度上进行验证,验证结果表明模拟的相对误差分别体现为日平均约-11.34%,周平均约-6.30%,月、季平均在4%以内,模拟结果符合实际情况。4)对研究区域水热特征的动态变化进行遥感监测,区域蒸散量在2005年和2006年均表现为夏季最大,春季次之,秋季最小。在春季,蒸散低值区主要分布在鲁中南低山丘陵区以及山东半岛一带;蒸散高值区则主要分布农作物生长较好的鲁西北、鲁西南平原,以及一些大型水体、水库;黄河三角洲地区尽管植被覆盖度不高,但由于该区地下水位埋深较浅,蒸散量也较高。夏季,研究区域总体蒸散水平都较高,高值区主要分布在大型的水体、水库,黄河两岸的引黄灌溉区域和滨海滩涂等地,低值区主要分布在城镇人工用地以及鲁中南低山丘陵区。秋季,整个研究区域的蒸散量均较小。区域月蒸散量与植被覆盖度以及地表温度之间都存在着显著的相关关系,不同的是与植被覆盖度呈正相关,与地表温度之间呈负相关关系。5)最后,分析了不同土地利用/覆盖类型下蒸散的逐月变化规律,发现水域的月平均蒸散量最大,其次为水田,林地、旱田和草地基本相当,人工用地的月平均蒸散量最小。并结合降水量数据分析了研究区域2005年和2006年的水分盈亏状况。利用基于能量平衡原理的水热通量遥感模型提取区域缺少指数(RWSI)对研究区2005和2006年的秋季进行旱情的遥感动态监测,总体监测结果合理可信,推广应用有待进一步的研究工作。  还原

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$` _#w$D-N2j;u"mS3]"J0【英文摘要】 Regional land surface water/heat flux monitoring and modeling based on remote sensing is the forefront and hot issues in water resources applications at present. Remote sensing provides an approach to monitor land surface energy and water balance on regional scale simultaneously,which is very important and useful in researches and applications in global climate change,hydrology,ecology,agriculture, etc.A lot of important researches have been done over the past few decades,but due to the temporal and spatial complexity of the land surface water/heat process,there still have many issues to be explored.Therefore,it is a promising scientific theme, both theoretically and practically,to model and monitor land water/heat flux using the regional advantage of remote sensing technology.Taking account of both specific application requirements and model practicability,what spatial scale should,and can, be chosen for regional water/heat flux modeling? As a view to this question,the thesis is to pr...更多opose a remote sensing model of water/heat flux for land by doing some research,which including spatial heterogeneity analysis,remote sensing data validation and improvement,and discussing the spatial and temporal scale problems. Specific research work and conclusions of this paper are as follows:1)The impact of the spatial heterogeneity for the surface water/heat flux modeling based on remote sensing is firstly analyzed,suggesting that it is necessary to weighed against the complexity of the process and the remote sensing capability to choose a suitable remote sensing scale.Then,the Index of Agreement suggested by Willmott is adopted for successive pixel scales to detect the critical scale of study area,which exhibits a spatial scale of 250~500 m that agrees with analysis result of land cover texture,land cover pixel and spatial semivariance.2)Digital elevation model(DEM)is successfully coupled in the SEBAL model for the topography correction(slope,aspect and elevation),expanding the application of the regional ET remote sensing model.On the basis of the lookup-table of land surface dynamic parameters suggested by NASA Goddard Land Assimilation System,the land cover information and remotely sensed vegetation index are integrated to produce dynamic surface roughness length and zero plane displacement height.Sensitivity analysis is done for the input parameters of the improved SEBAL model.The study shows that the model is more sensitive to LST,Albedo,and NDVI,while the win speed and the momentum roughness length are relatively low sensitive parameters.As a whole,the model is more stable.The retrieval evapotranspiration by the model with input parameters change a certain amount are not in signigicant change.The analysis of the impact of the ET results simulated by the model in combination with terrain factors (altitude,slope,aspect)show that the ET results will overestimate about 30%in high altitude and shady slope region if the terrain is not taked into account.3)The idea of Spatial Local Similarity is introduced to improve the Thermal Enhance method of Kustast et al,which is used to enhance the spatial resolution of 1km MODIS LST and Albedo to 250 m utilizing the spatial details of 250 m MODIS vegetation index.Herein,this paper makes full use of the advantages of the temporal and spatial resolutions of MODIS data to constructe day-to-day driving data for the regional water and heat model,which meet the requirements of spatial heterogeneity scale,making the higher frequency of large area water/heat flux monitoring has a good operational.Verification of ET estimated by the model in different time scales suggests that the mean relative errors are about -11.34%,-6.30%for daily and weekly time scale,and approximately less than 4%for monthly or seasonal scale,respectively.The simulation results of the remote sensing model are in good agreement with the in situ observation.4)With modeling results,the spatial and temporal patterns of water/heat in study areas have been monitored and discussed.The regional ET both appears to be largest in summer,followed by the spring and autumn minimum for 2005 and 2006 year.In spring,low ET value areas are mainly located in hilly areas within middle-south of Shandong and Shandong Peninsula area,while the high ET value areas are mainly distributed in some large water reservoirs and the Northwest and Southwest plains of Shandong where crops grow better.Although the vegetation coverage is not high in Yellow River Delta region,there also has higher ET value due to shallow depth of the water table of the area.In summer,all the study area have a higher level of ET.High-value areas are mainly distributed in large bodies of water,reservoirs,irrigated regions besided the two sides of Yellow River and coastal beach.Low-value regions are mainly located in hilly areas within middle-south of Shandong and man-made areas such as urban.The whole area have lower level of ET in autumn.Meanwhile,the retrieval results demonstrate that the regional ET possessed evidently positive correlation with the vegetation coverage versus negative correlation with LST.5)Finally,the monthly changes of ET during 2005~2006 for different land use/ land cover(LULC)types have been analyzed.It is found that all the monthly average ET show largest in water areas,followed by paddy fields,then by woodlands,dry fields and grasslands,urban and built-up minimum.Water surplus and deficiency of LULC in different month are also discussed by combined with precipitation data.Regional water stress index(RWSI)is extracted using actual and potential ET based on regional ET remote sensing model to monitor the regional drought dynamicly in 2005 and 2006 autumn.The results are reasonable and credible in general,and the application and pending need to be confirmed with further studies.  还原水利论文 k}BDac7F8k%~

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【中文关键词】 地表水热通量; SEBAL模型; 蒸散; MODIS; 遥感监测; 尺度分析水利论文e~ S1U[(G)y
【英文关键词】 Water/heat flux of land surface; SEBAL model; Evapotranspiration (ET); MODIS; Remote sensing monitoring; Scale analysis水利论文jy}da%l5G0G@'u^;Z%RJ
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TAG: 遥感 高炜 高志强 地表水 刘朝顺
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