复杂山区小流域径流模拟影响因素分析

为探讨子流域划分与DEM分辨率对于地形和地表状况比较复杂的山区小流域径流模拟的影响,利用分布式水文模型SWAT(Soil and Water Assessment Tool)对复杂山区小流域进行径流模拟,从不同的子流域划分条件下分析了子流域划分对径流模拟的影响及其变化趋势.然后通过对原有的DEM(Digital Elevation Model)进行重采样生成不同格网大小的DEM作为模型输入,研究不同DEM分辨率对复杂山区小流域径流模拟的影响.研究表明:(1)存在一个比较合理的子流域划分方案使径流深比较稳定;(2)存在一个合适的DEM分辨率使模拟得到的径流深比较稳定;(3)山区复杂流域环境,要求更加精细的子流域划分才能获得(1)中的稳定径流深.     

TOPMODEL模型的空间尺度分析

以东江流域的岳城、胜前、东坑、蓝塘和九州五个子流域为例,应用前四个子流域分析DEM分辨率和流域大小对地形指数和TOPMODEL模型模拟结果的影响,探讨TOPMODEL模型对DEM分辨率的依赖性.结果表明:DEM分辨率对地形指数有着显著的影响,且径流模拟精度依赖于DEM空间分辨率,随着DEM空间分辨率的降低模拟得到的确定性系数逐渐减小.为了克服TOPMODEL模型难以考虑降雨空间分布不均对径流过程的影响,建立基于子流域的TOPMODEL模型,将基于子流域的TOPMODEL模型和整个流域的TOPMODEL模型应用九州子流域进行模拟比较,发现基于子流域的TOPMODEL模型能够得到精度更好的模拟效果,而且可以得到不同子流域对流域出口流量过程的贡献度,进而能够分析不同降雨情况下的流域出口洪水过程.     

DEM空间分辨率对流域水文特征信息提取及径流模拟影响研究

DEM是构建分布式水文模型的重要输入。以岷江上游为研究区,基于8种不同空间分辨率DEM构建SWAT模型,研究分析DEM空间分辨率对流域水文特征提取及径流模拟影响。研究表明,DEM空间分辨率越低,洪峰模拟精度越低,模拟流量与实测流量间的误差越大,曲线吻合度越低;DEM空间分辨率由25m降低到200m时,径流模拟误差变化不明显,而DEM空间分辨率由200m降低到3 200m时模拟误差显著增大;另外,DEM空间分辨率与径流总量的模拟精度间未表现出显著相关性。     

子流域划分和DEM分辨率对SWAT径流模拟的影响研究

应用SWAT分布式水文模型,选择秦淮河流域为研究区,在不同的子流域划分水平和DEM分辨率条件下,进行流域径流的模拟,进一步分析子流域划分和DEM分辨率对流域径流模拟结果的影响.研究结果表明:产流量随着子流域划分数目的增加几乎没有变化,最大相对偏差不超过5%;DEM分辨率的变化对径流的模拟影响也不大,尤其在DIM格网单元低于100m时,各种DEM格网单元模拟结果的相对偏差最大约为1%.     

贵州典型岩溶流域日降雨径流过程模拟研究

以蓄满产流方式描述岩溶地区的产流过程,采用稳定入渗法划分径流,将非线性水箱模型用于模拟单元流域的调蓄过程,以遗传算法为基础率定模型参数,建立了基于遗传算法率定参数的概念性岩溶水文模型,并以贵州普定后寨河流域为例,采用流域内老黑潭、六谷、后寨测站的水文资料对所建模型进行检验,以相对误差、互相关系数和确定性系数来评定模型.结果表明,本模型预报结果的相对误差均小于士10%,互相关系数均大于0.80,确定性系数均大于或等于0.70,说明所构建的模型能够模拟及预报岩溶地区的降雨径流过程.      

辽河流域径流过程模拟的空间尺度效应分析

针对分布式水文模型的尺度问题,在辽河流域,采用SWAT模型,研究不同DEM分辨率及不同子流域大小导致模拟结果的不确定性。研究结果表明:①DEM分辨率对流域平均高程、流域面积和子流域数量影响较小,而对流域平均坡度有显著的影响,因此径流模拟时需要进行坡度订正。对于河网提取,DEM分辨率为500m时提取的河网与基准河网吻合程度较高。②子流域面积过大,数量过少时,模拟结果与基准结果偏差较大,而在划分一定阈值波动范围内径流对子流域数量敏感性较低。     

BTOPMC模型与新安江模型在史河上游的应用比较研究

介绍了一个由TOPMODEL发展而来的基于栅格的分布式水文模型--BTOPMC模型.选取史河流域黄泥庄水文站以上集水面积为研究区域,在空间分辨率为30秒的数字高程模型数据基础上构建数字流域水系,基于IGBP全球陆面土地覆被数据以及FAO全球数字土壤数据运用BTOPMC模型和新安江模型分别对黄泥庄站1982年到1987年的日径流过程进行模拟.采用模拟与实测洪量比和确定性系数对两个模型的模拟结果进行比较分析.结果表明两个模型都能很好地模拟日径流过程,新安江模型有更好的模拟效果.     

信息熵在新安江模型和NAM模型比较中的应用

选取资水流域新宁水文站以上集水面积为研究区域,基于空间分辨率为30s的数字高程模型数据构建数字流域水系,运用新安江模型和NAM模型分别对新宁站的日径流过程进行模拟。采用确定性系数和信息熵对两个模型的模拟结果进行比较分析。在信息熵计算过程中,以实测流量为标准序列,计算两种日模型模拟结果与实测序列残差,然后进行归一化,计算潜在信息测度和信息熵相对测度。信息熵越大表明流量计算序列与实测序列过程线在垂向上相似性强,但这并不代表确定性系数大、径流深相对误差小。     

数字高程模型的空间分辨率对流域径流模拟的差异性影响分析

数字高程模型(DEM)空间分辨率的精准确定,对于提高分布式水文模型输入水文信息的可靠性和有效性意义显著。文章选择北洛河流域典型区域作为研究对象,基于7种不同的DEM空间分辨率,利用ARCGIS软件,分别提取水文特征信息;在新安江模型物理参数意义研究的基础上,利用槽蓄曲线的坡度K和流量比重系数X之间的相关关系,确定参数,进行水文模拟;根据交口、状头水文站的实测数据,对模拟结果进行对比验证,结果表明:DEM空间分辨率越低,提取的水文特征信息越少;洪峰的模拟精度在分辨率200m之前减低缓慢,200m之后大幅降低。对比分析不同分辨率对水文模拟的影响,进而确定满足实际洪水预报的DEM分辨率大小。     

雅鲁藏布江流域的分布式水文模拟及径流变化分析

针对雅鲁藏布江流域,依据100m网格的数字高程模型DEM,基于分布式水文模型GBHM原理,构建了3km网格的分布式水文模型.模型采用次网格参数化方法处理了网格内水文参数的非均一性,并完整地模拟了1960～1998年的水文过程.结果表明,模型较好地模拟了河道的径流过程,并可根据模型模拟的结果分析流域径流等水文要素的变化趋势.     

Error in digital network and basin area delineation using d8 method: A case study in a sub-basin of the Ganga

Digital elevation model (DEM) is one of the input data derived from different satellite sensors for hydrologic and hydraulic modelings. Two prime questions could be answered before using these DEMs. First, the acceptability of datasets for our use and second appropriate resolution of the dataset. Three widely used DEMs SRTM 30m, ASTER 30m and SRTM 90m are analyzed to evaluate their suitability to delineate river network and basin boundary area. The hydrology tool of spatial analyst extension inbuilt in ArcGIS 10.2 (which uses the D8 method for calculation of flow direction) has been used for the delineation of both river networks and basin boundary. The assessment of river network alignment and boundary delineation is carried out in the seven sub-catchments of Gandak river basin having different morphological characteristics. The automatically delineated boundary area for all the three DEMs reflects a significant difference when compared with the digitized basin area from the Ganga flood control commission (GFCC) map. The maximum boundary area delineation error is 39137.20 km₂ forASTER 30m, and minimum delineation error of 13239.28 km₂ for SRTM 90m. In the stream network, delineation accuracy is good for SRTM 90m while, except Gandak trunk, ASTER 30m DEM shows better delineation accuracy indicated by mean absolute error (MAE) and standard deviation (SD).     

Evaluation of intermediate TanDEM-X digital elevation data products over Tasmania using other digital elevation models and accurate heights from the Australian National Gravity Database

The successful operation of the TanDEM-X satellite mission is the start of a new era of globally consistent and accurate digital elevation data for planet Earth. In this work available 12 m-resolution intermediate TanDEM-X products (DEM: digital elevation model; HEM: height error map; COV: coverage map; WAM: water indication mask) are evaluated over Tasmania. Elevations from the TanDEM-X intermediate digital elevation model (IDEM) are compared with (a) other global DEMs (30 m-resolution SRTM1 USGS v3 and 30 m-resolution Advanced Spaceborne Thermal Emission Reflectometer (ASTER GDEM2), (b) the local 25 m-resolution DEM made available by Tasmanian environmental authority (DPIPWE), and (c) over 15 000 accurate ground-control-points (GCPs) from the Australian National Gravity Database (ANGD). The comparison with ASTER and SRTM over the area of Tasmania involves over 500 million valid TanDEM-X IDEM elevations. The root-mean-square (RMS) of 8.8 m indicates a reasonable to good agreement of TanDEM-X IDEM and SRTM, while ASTER shows almost twice the disagreement in terms of RMS (～16.5 m). Both, ASTER and SRTM show a (mean) offset of –1.9 m and –2.3 m w.r.t. TanDEM-X IDEM, respectively. By comparisons with GCPs, we find that SRTM and ASTER overestimate the terrain height. The comparison with the AGND GCPs also allows an estimate of the absolute accuracy of the IDEM, which is found to be superior to that of SRTM or ASTER. The RMS error of 6.6 m shows that the IDEM is close to the officially denoted 4 m absolute vertical accuracy considering that the GCPs are not error free. The height error map information layer is found to a suitable first indicator of the (local) accuracy of the IDEM in a relative sense. However, we find that the HEM tends to underestimate observed differences to the GCPs. Terrain-type analyses reveal that the TanDEM-X IDEM is a very consistent elevation database over Tasmania. In conclusion, our study demonstrates that the new TanDEM-X elevation data sets provide improved high-resolution terrain information over Tasmania and beyond.     

Flood inundation mapping and hazard assessment of Baitarani River basin using hydrologic and hydraulic model

Frequent flood is a concern for most of the coastal regions of India. The importance of flood maps in governing strategies for flood risk management is of prime importance. Flood inundation maps are considered dependable output generated from simulation results from hydraulic models in evaluating flood risks. In the present work, a continuous hydrologic-hydraulic model has been implemented for mapping the flood, caused by the Baitarani River of Odisha, India. A rainfall time-series data were fed into the hydrologic model and the runoff generated from the model was given as an input into the hydraulic model. The study was performed using the HEC-HMS model and the FLO-2D model to map the extent of flooding in the area. Shuttle Radar Topographic Mission (SRTM) 90 m Digital Elevation Model (DEM) data, Land use/Land cover map (LULC), soil texture data of the basin area were used to compute the topographic and hydraulic parameters. Flood inundation was simulated using the FLO-2D model and based on the flow depth, hazard zones were specified using the MAPPER tool of the hydraulic model. Bhadrak District was found to be the most hazard-prone district affected by the flood of the Baitarani River. The result of the study exhibited the hydraulic model as a utile tool for generating inundation maps. An approach for assessing the risk of flooding and proper management could help in mitigating the flood. The automated procedure for mapping and the details of the study can be used for planning flood disaster preparedness in the worst affected area.

     

基于ICESat/GLAS数据的中国典型区域SRTM与ASTER GDEM高程精度评价

航天飞机雷达地形测绘(shuttle radar topography mission, SRTM)和先进星载热发射和反射辐射成像仪全球数字高程模型(advanced spaceborne thermal emission and reflection radiometer global digital elevation model, ASTER GDEM)提供了全球覆盖面积最广的数字高程模型(digital elevation model, DEM)数据, 但其高程精度还未得到充分验证, 传统地面测量方法很难适用于验证大面积范围的DEM精度.以冰、云和陆地高程卫星/地学激光测高系统(ICESat/GLAS)高程数据为参考, 综合利用地理信息系统(geographic information system, GIS)空间分析、三维可视化与统计分析方法, 对中国典型低海拔沿海平原地区和高海拔山地的两种DEM数据高程精度进行了对比分析.结果表明, 高程值小于20m的低海拔地区, SRTM高程精度达到2.39m, ASTER GDEM的精度达到4.83m, 均远远高于这两种数据的标称精度; 而在西南山地, 这两种DEM的精度大约为20m, 与标称精度相当.最后, 建立了ICESat/GLAS与SRTM和ASTER GDEM的一元线性回归模型, 该模型具有较高的拟合度和显著线性关系, 可用于改善这两种DEM的高程精度.      

渭河源区典型小流域水沙演变规律分析

根据渭河源区清源河典型小流域实测水文资料,分析了流域水文要素的年内和年际变化规律,流域降水、径流和泥沙主要集中在汛期,5-9月降水量占全年的78.5%,5-10月径流占全年的78.7%,5-8月输沙量占全年的88.9%。受上游修建水库、水土保持等人类活动的影响,流域汛期径流和泥沙1997-2013年比1980-1996年均减少了5.9%。流域面平均降水量、平均流量、平均输沙量年际变化不稳定,总体呈减少趋势,序列最大可能变异点分别为1995年、1994年和1997年。建立了流域年降水量与年径流深、次降水量P+Pa与次径流深相关模型,相关系数达到0.902和0.860。以年最大洪峰流量为参数,分别建立了流域年径流量与年输沙量、次径流量与次输沙量关系模型,相关系数达到0.835和0.917,公式模拟值与实测值接近,误差较小,可以作为以径流推算泥沙的重要依据。通过定性定量分析人类活动对流域径流、泥沙的影响程度,对区域抗旱防洪减灾、水资源管理、小流域治理及生态环境保护具有重要意义。     

Uncertainty of soil erosion modelling using open source high resolution and aggregated DEMs

Digital Elevation Model (DEM) is one of the important parameters for soil erosion assessment. Notable uncertainties are observed in this study while using three high resolution open source DEMs. The Revised Universal Soil Loss Equation (RUSLE) model has been applied to analysis the assessment of soil erosion uncertainty using open source DEMs (SRTM, ASTER and CARTOSAT) and their increasing grid space (pixel size) from the actual. The study area is a part of the Narmada river basin in Madhya Pradesh state, which is located in the central part of India and the area covered 20,558 km². The actual resolution of DEMs is 30 m and their increasing grid spaces are taken as 90, 150, 210, 270 and 330 m for this study. Vertical accuracy of DEMs has been assessed using actual heights of the sample points that have been taken considering planimetric survey based map (toposheet). Elevations of DEMs are converted to the same vertical datum from WGS 84 to MSL (Mean Sea Level), before the accuracy assessment and modelling. Results indicate that the accuracy of the SRTM DEM with the RMSE of 13.31, 14.51, and 18.19 m in 30, 150 and 330 m resolution respectively, is better than the ASTER and the CARTOSAT DEMs. When the grid space of the DEMs increases, the accuracy of the elevation and calculated soil erosion decreases. This study presents a potential uncertainty introduced by open source high resolution DEMs in the accuracy of the soil erosion assessment models. The research provides an analysis of errors in selecting DEMs using the original and increased grid space for soil erosion modelling.     

坡地径流入渗机制对水文模拟的影响分析

建立了适用于栅格单元系统的基于运动波理论的降尺度新安江模型(KWXAJ)。在栅格单元中采用新安江模型计算产流,运动波模型进行坡面汇流演算。模型中,为考虑上游坡地单元入流的径流入渗(run-on)效应,在进行坡地产流计算时,降雨及上游坡面流及壤中出流被同时作为来水输入新安江模型。在运动波模型中,糙率系数依据土地利用方式及洪水量级确定。选取淮河史灌河流域黄泥庄以上集水区域,作为研究区域。用流域历史上的13次洪水过程来率定和验证此模型。研究表明,run-on机制对流域产汇流预测有重要影响,其显著影响流域内土壤蓄水量时空分布,进而改变产汇流机制。数据分析还显示,不考虑run-on机制将导致模拟洪峰滞后。     

基于SRTM的SNOW—TOPMODEL模型在玛纳斯河流域的应用

基于分辨率90m网格的玛河流域SRTM数据,提取了玛纳斯河流域的河网和地形指数,生成的河网与实际河网基本接近。将加入融雪模块TOPMODE应用于玛河流域,对模型计算结果进行误差评价并分析误差产生的原因。由玛纳斯河流域应用加入融雪模块的TOPMODEL模型可以看出,该模型在玛纳斯河流域有较好的适应性,可以将此模型应用于玛纳斯河流域的洪水预报。     

Hydrological modeling of typhoon-induced extreme storm runoffs from Shihmen watershed to reservoir, Taiwan

Typhoon-induced extreme storm runoffs often cause flood hazards. In this study, a hydrological model (HEC-HMS) was applied to Shihmen watershed located in Taiwan. Three typhoon-induced storm events, with return period ranging from 1 to 90 years, were used in case studies to characterize storm runoff. With a 5-year storm for model calibration, model parameters were carefully calibrated through the comparison between model simulated and observed flows at a stream gage station. The calibrated model was then verified for a 90-year storm and a 1-year storm event. Results indicate that the calibrated and verified HEC-HMS hydrological model is capable of providing satisfactory predictions of the typhoon-induced extreme storm runoff to support reservoir operation and flood hazard mitigation. Based on model simulations, typhoon-induced water table increases for different initial water volumes at Shihmen Reservoir was derived by adding storm-runoff volume to the reservoir’s initial elevation-volume rating curve. Water tables above the top elevation of the dam in the reservoir indicate the need for immediate water releases to avoid the risk of overflow over the dam.     

青藏高原河流地貌定量研究的基础--SRTM3空白数据填充方法剖析及数据

河流地貌和侵蚀是构造地貌研究的核心内容。90m分辨率的SRTM3数字高程模 型被广泛运用于构造地貌学的研究,但数据空白区是其在河流地貌定量研究中的 瓶颈。对SRTM3数据与中国1∶25万DEM数据的对比分析表明,1∶25万DEM数据在 生成数字河网和河流纵剖面方面不如SRTM3数据,尤其是其在平原区数字河网提 取中易发生错误,但在高山峡谷地区数据质量较好,而这正是SRTM3数据空洞的主 要区域。对比国内外各种SRTM空洞填补方法发现,相对于算法的改进,高精度数 据的参与是填充SRTM3数据空洞的关键。因此,利用SRTM3与1∶25万DEM数据的互 补性,对SRTM3进行数据优化,是现阶段青藏高原河流地貌定量研究的基础。详细 介绍了SRTM3空洞充填的步骤,具有实际参考价值。