基于公共DEM的平原湖泊流域特征提取研究及应用
|
摘要
以典型的平原湖泊流域花马湖流域为例,针对流域缺乏实测地形数据,提出了基于公共DEM数据的流域特征(流域面积、河网结构、主河流长度和主河流比降)提取方法,并探讨了数据源、重要步骤对结果的影响,结果表明:河网校正对于消除平行河流,提高河网提取精度有明显的效果,平均误差降低了超过40%;低水平分辨率、高垂直精度的SRTM数据比高水平分辨率、低垂直精度ASTER数据结果更加可靠。同时还探讨了主河流相关参数提取结果的精度,结果表明采用自动提取方法能避免主观判定主河流走向带来的误差;河流比降与实测值也较为接近,绝对误差在-0. 11‰～0. 7‰之间。从提取的效率和结果精度两方面来看,基于公共获取数据的流域特征自动提取方法是切实可行的,在水利规划等领域中具有广阔的应用前景。
Taking a typical plain lake basin-the Huama Lake Basin as study area, a solution is proposed to extract basin characters( basin area, river network structure, main channel length and main channel slope) based on open accessed DEM data for the region where ground measurement data is laced. The influence of different data sets and different process are also discussed. The result shows that DEM Reconditioning process has a great effect on eliminating parallel channels and improving the extraction accuracy of river network, the error is reduced 43%. Low horizontal resolution, high vertical precision SRTM data is more reliable than high horizontal resolution, and low vertical precision ASTER data. The result of accuracy evaluation of the main channel characters shows that the automatic extraction method can avoid the subjective error of the main channel move direction determination, and the channel slope is also close to the measured value with error between -0. 11‰ and 0. 7‰. Overall, the method of automatic extraction of basin characters based on open accessed data is reliable and feasible and has a broad application in water conservancy planning and other fields.
Taking a typical plain lake basin-the Huama Lake Basin as study area, a solution is proposed to extract basin characters( basin area, river network structure, main channel length and main channel slope) based on open accessed DEM data for the region where ground measurement data is laced. The influence of different data sets and different process are also discussed. The result shows that DEM Reconditioning process has a great effect on eliminating parallel channels and improving the extraction accuracy of river network, the error is reduced 43%. Low horizontal resolution, high vertical precision SRTM data is more reliable than high horizontal resolution, and low vertical precision ASTER data. The result of accuracy evaluation of the main channel characters shows that the automatic extraction method can avoid the subjective error of the main channel move direction determination, and the channel slope is also close to the measured value with error between -0. 11‰ and 0. 7‰. Overall, the method of automatic extraction of basin characters based on open accessed data is reliable and feasible and has a broad application in water conservancy planning and other fields.
引文
[1]O'CALLAGHAN J F,MARK D M.The extraction of drainage networks from digital elevation data[J].Computer Vision Graphics&Image Processing,1984,28(3):323-344.
[2]顾用红,舒振文,张火青.DEM在流域水文特征分析中的应用[J].人民珠江,2001,22(4):5-6.
[3]赵博华.基于DEM的流域特征提取方法研究进展[J].人民珠江,2016,37(2):43-47.
[4]李丽,郝振纯.基于DEM的流域特征提取综述[J].地球科学进展,2003,18(2):251-256.
[5]钟凯文,解靓,孙彩歌.DEM分辨率对TOPMODEL模拟精度影响研究[J].人民珠江,2009,30(3):43-45.
[6]李翀,杨大文.基于栅格数字高程模型DEM的河网提取及实现[J].中国水利水电科学研究院学报,2004,2(3):208-214.
[7]李静静,陈健,朱金玲.基于DEM的河流长度尺度转换与不确定性分析[J].人民长江,2010,41(8):55-58.
[8]马兰艳,周春平,胡卓玮,等.基于SRTM DEM和ASTER GDEM的辽河流域河网提取研究[J].安徽农业科学,2010,39(5):2692-2695.
[9]HIRT C,FILMER M S,FEATHERSTONE W E.Comparison and validation of the recent freely available ASTER-GDEM ver1,SRTM ver4.1 and GEODATA DEM-9S ver3 digital elevation models over Australia[J].Journal of the Geological Society of Australia,2010,57(3):337-347.
[10]胡加佩,关小荣,刘学军.中国区域SRTM DEM与ASTERGDEM误差空间分布特征[J].地理与地理信息科学,2017,33(4):28-33.
[11]吴冰,李昌文.基于SRTM DEM的盘龙河流域河网提取研究[J].水资源与水工程学报,2013,24(6):157-162.
[12]余杰,左小清,唐从国.滇池SRTM DEM数据的流域特征自动提取[J].测绘科学,2011,36(2):189-191.
[13]刘远,周买春,陈芷菁,等.基于不同DEM数据源的数字河网提取对比分析---以韩江流域为例[J].地理科学,2012,32(9):1112-1118.
[14]刘金涛,张佳宝,刘建立,等.融合多源数字信息的流域水系提取方法研究[J].地理与地理信息科学,2010,26(2):27-30.
[15]康俊,孙佳,程炳岩.基于Arc Hydro Tools的涪江流域特征自动提取分析[J].西南师范大学学报(自然科学版),2017,42(6):83-87.
[16]谢顺平,都金康,王腊春.利用DEM提取流域水系时洼地与平地的处理方法[J].水科学进展,2005,16(4):535-540.
[17]HUTCHINSON M F.A new procedure for gridding elevation and stream line data with automatic removal of spurious pits[J].Journal of Hydrology,1989,106(3):211-232.
[2]顾用红,舒振文,张火青.DEM在流域水文特征分析中的应用[J].人民珠江,2001,22(4):5-6.
[3]赵博华.基于DEM的流域特征提取方法研究进展[J].人民珠江,2016,37(2):43-47.
[4]李丽,郝振纯.基于DEM的流域特征提取综述[J].地球科学进展,2003,18(2):251-256.
[5]钟凯文,解靓,孙彩歌.DEM分辨率对TOPMODEL模拟精度影响研究[J].人民珠江,2009,30(3):43-45.
[6]李翀,杨大文.基于栅格数字高程模型DEM的河网提取及实现[J].中国水利水电科学研究院学报,2004,2(3):208-214.
[7]李静静,陈健,朱金玲.基于DEM的河流长度尺度转换与不确定性分析[J].人民长江,2010,41(8):55-58.
[8]马兰艳,周春平,胡卓玮,等.基于SRTM DEM和ASTER GDEM的辽河流域河网提取研究[J].安徽农业科学,2010,39(5):2692-2695.
[9]HIRT C,FILMER M S,FEATHERSTONE W E.Comparison and validation of the recent freely available ASTER-GDEM ver1,SRTM ver4.1 and GEODATA DEM-9S ver3 digital elevation models over Australia[J].Journal of the Geological Society of Australia,2010,57(3):337-347.
[10]胡加佩,关小荣,刘学军.中国区域SRTM DEM与ASTERGDEM误差空间分布特征[J].地理与地理信息科学,2017,33(4):28-33.
[11]吴冰,李昌文.基于SRTM DEM的盘龙河流域河网提取研究[J].水资源与水工程学报,2013,24(6):157-162.
[12]余杰,左小清,唐从国.滇池SRTM DEM数据的流域特征自动提取[J].测绘科学,2011,36(2):189-191.
[13]刘远,周买春,陈芷菁,等.基于不同DEM数据源的数字河网提取对比分析---以韩江流域为例[J].地理科学,2012,32(9):1112-1118.
[14]刘金涛,张佳宝,刘建立,等.融合多源数字信息的流域水系提取方法研究[J].地理与地理信息科学,2010,26(2):27-30.
[15]康俊,孙佳,程炳岩.基于Arc Hydro Tools的涪江流域特征自动提取分析[J].西南师范大学学报(自然科学版),2017,42(6):83-87.
[16]谢顺平,都金康,王腊春.利用DEM提取流域水系时洼地与平地的处理方法[J].水科学进展,2005,16(4):535-540.
[17]HUTCHINSON M F.A new procedure for gridding elevation and stream line data with automatic removal of spurious pits[J].Journal of Hydrology,1989,106(3):211-232.