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SATELLITE DATA AND HYDROLOGICAL MODEL TO ASSES WATER QUANTITY AND QUALITY IN THE YANGTZE RIVER BASIN

机译:长江流域水质状况的卫星数据与水文模型。

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The main objective of the project is to assess waterrnquantity and quality for the Yangtze River basinrnthrough remote sensing data and a distributedrnhydrological model. The paper provides an overviewrnof the project activities that are supported by severalrnpeer review articles to which we refer for details.rnWater quantity analyses are assed with the fullyrndistributed hydrological model FEST-EWB. The modelrnalgorithm solves the system of energy and massrnbalances in terms of a representative equilibriumrntemperature (RET) that is the land surface temperaturernthat closes the energy balance equation and so governsrnthe fluxes of energy and mass over the basin domain.rnThis equilibrium surface temperature, which is arncritical model state variable, is comparable to LST asrnretrieved from operational remote sensing datarn(MODIS) which is used for the calibration of soil andrnvegetation parameters. The effects on river dischargernof the Three Gorges dam, the largest hydropowerrnproject in the world is evaluated. Observed flowrnduration curves, for the four available river crossrnsections, will be evaluated and compared to FESTEWBrnsimulated flow duration curves as well asrnobserved as simulated hydrographs.rnThe dynamic of the three large lakes (Poyang,rnDongting and Taihu), which change considerably theirrnarea during the seasons, will also be analyzed usingrnMERIS and ASAR data to infer surface area changesrnand LEGOS altimetry data (Topex/Poseidon, Jason,rnENVISAT) for water level. Data from 2003 to 2006rnare evaluated.rnFEST-EWB is run in for the whole Yangtze Riverrnbasin at spatial resolution of 0.05° and temporalrnresolution of 3 hours. Results are provided in terms ofrnhourly evapotranspiration, soil moisture and landrnsurface temperature maps for the period between 2003rnto 2006 and flood hydrographs at different river crossrnsections.rnWater quality analyses are performed along thernYangtze river estimating turbidity and suspended solidrnsediments from MERIS (250 m) and MODIS (300 m)rndata using different algorithms. Two main objective arernidentified: i) to evaluate parameters seasonal andrnyearly variations and hence, their correlations to riverrndischarges and precipitation events; ii) to quantify therneffect of Three Gorges dam and how its flowrnregulation affects the sediment transport downstream.rnThe years 2002, 2004 and 2006 were selected asrnparticular periods: the first one is before the ThreernGorges Reservoir impoundment, the second one isrncharacterized by severe floods, while the last one is arndry year.
机译:该项目的主要目的是通过遥感数据和分布式水文模型评估长江流域的水量和水质。本文提供了对项目活动的概述,这些项目活动得到了我们所参考的一些同行评审文章的支持。rn用水量分析通过完全分布式的水文模型FEST-EWB进行。该模型算法以代表性的平衡温度(RET)来解决能量和质量平衡的系统,该平衡温度是关闭能量平衡方程的陆地表面温度,因此控制流域内能量和质量的通量。该平衡表面温度是关键性的模型状态变量可与从操作遥感数据(MODIS)获取的LST进行比较,该数据用于土壤和植被参数的校准。评估了世界上最大的水电项目三峡大坝对河水排放的影响。将评估四个可用河流横断面的观测流量曲线,并将其与FESTEWB的模拟流量持续时间曲线以及作为模拟水文图的观测值进行比较。rn三个大型湖泊(D阳湖,洞庭湖和太湖湖)的动态在季节中变化很大还将使用MERIS和ASAR数据来推断表面积变化,并使用LEGOS测高数据(Topex / Poseidon,Jason,rnENVISAT)进行水位分析。对2003年至2006年的数据进行了评估。整个长江流域的FEST-EWB的空间分辨率为0.05°,时间分辨率为3小时。根据2003年至2006年期间的每小时蒸散量,土壤湿度和地表温度图以及不同河流横断面的洪水水位图提供了结果。沿长江进行了水质分析,估计了MERIS(250 m)和MODIS(250 m)的浊度和悬浮固体沉积物。使用不同算法的300 m)数据。确定了两个主要目标:i)评估参数季节和年度变化,并因此评估它们与河流流量和降水事件的相关性; ii)量化三峡大坝的影响及其流量调节如何影响下游的泥沙输送.rn选择2002、2004和2006年为特定时期:第一个是在TrirnGorges水库蓄水之前,第二个是严重洪水。最后一年是阿恩德里年份。

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