SIMULATION OF THE RUNOFF HYDROGRAPH BY SRM SUPPORTED BY GIS AND REMOTE SENSING (KAYSERI-SARIZ CREEK WATERSHED CASE STUDY)

被引:0
|
作者
Gurer, Ibrahim [1 ]
Ucar, Ibrahim [1 ]
机构
[1] Gazi Univ, Muhendislik Fak, Insaat Muhendisligi Bolumu, TR-06570 Ankara, Turkey
关键词
Hydrologic modeling; MODIS; GIS; SRM; Sariz Creek Watershed; FRACTIONAL SNOW COVER; HYDROLOGY;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The significant part of annual runoff volume of the basins located at high altitudes with great snow potential is produced by melting of the accumulated snow in spring months. Modeling of hydrograph accumulation during melting seasons of snow is important for the operation of water resources as efficient and sustainable as possible. In this study, the simulation of hydrographs of Sariz Creek watershed in Seyhan Basin was studied for the snow melting seasons (March-April) of 2004 and 2005. Snowmelt Runoff Model (SRM), which is widely used in hydrological modeling, was applied together with Remote Sensing (RS) and Geographic Information Systems (GIS) technologies for determination of snowmelt runoff volume. SRM requires some daily climatologic variables of temperature, precipitation and snow covered area. Daily snow covered area values were determined by analyzing of MODIS satellite images with GIS. In the simulation studies, two cases were assessed. Solution has been provided as two alternatives. The simulated and observed hydrographs were compared and found in harmony. To make better and more reliable models, some improvements starting from the field observation are proposed.
引用
收藏
页码:91 / 101
页数:11
相关论文
共 50 条
  • [1] Hydrograph simulation and flood mapping using remote sensing and GIS in Citarum watershed, Indonesia
    Geoinformatics Center, Asian Institute of Technology, Pathumthani, 12120, Thailand
    不详
    不详
    Asian Conf. Remote Sens., ACRS, 1600, (970-976):
  • [2] Runoff simulation using distributed hydrological modeling approach, remote sensing and GIS techniques: A case study from an Indian agricultural watershed
    Chowdary, V. M.
    Desai, V. R.
    Gupta, Mukesh
    Jeyaram, A.
    Murthy, Y. V. N. K.
    XXII ISPRS CONGRESS, TECHNICAL COMMISSION VIII, 2012, 39-B8 : 203 - 207
  • [3] Rainfall-runoff and soil erosion modeling using remote sensing and GIS technique- a case study of tons watershed
    Jasrotia A.S.
    Dhiman S.D.
    Aggarwal S.P.
    Journal of the Indian Society of Remote Sensing, 2002, 30 (3) : 167 - 180
  • [4] River sediment monitoring using remote sensing and GIS (case study Karaj watershed)
    Shafaie, M.
    Ghodosi, H.
    Mostofi, K. H.
    INTERNATIONAL CONFERENCE ON SENSORS & MODELS IN REMOTE SENSING & PHOTOGRAMMETRY, 2015, 41 (W5): : 675 - 680
  • [5] Vegetation vulnerability analysis by using GIS and remote sensing techniques: a case study of Sensawuha Watershed, Ethiopia
    Minale, Amare Sewnet
    Gelaye, Semegn
    GEOJOURNAL, 2021, 86 (01) : 475 - 488
  • [6] Hydrological modeling of ungauged basins using Remote Sensing and GIS: a case study of Solakl Watershed in Turkey
    Alganci, U.
    Coskun, H. G.
    Usta, G.
    Agiralioglu, N.
    Cigizoglu, H. K.
    Aksoy, H.
    Yilmaz, L.
    Eris, E.
    Dagci, M.
    REMOTE SENSING FOR A CHANGING EUROPE, 2009, : 305 - 312
  • [7] Vegetation vulnerability analysis by using GIS and remote sensing techniques: a case study of Sensawuha Watershed, Ethiopia
    Amare Sewnet Minale
    Semegn Gelaye
    GeoJournal, 2021, 86 : 475 - 488
  • [8] An Integrated Rainfall-Runoff Simulation and Factorial Design Approach for Watershed Systems Modeling Under Uncertainty - A Case Study for the Swift Current Creek Watershed
    Zou, Yun
    Huang, G. H.
    Maqsood, Imran
    Luo, Bin
    Li Hengliang
    PROCEEDINGS OF THE 1ST INTERNATIONAL YELLOW RIVER FORUM ON RIVER BASIN MANAGEMENT, VOL III, 2003, : 292 - 306
  • [9] Assessment of potential changes in soil erosion using remote sensing and GIS: a case study of Dacaozi Watershed, China
    Huang, Jun
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2018, 190 (12)
  • [10] Assessment of potential changes in soil erosion using remote sensing and GIS: a case study of Dacaozi Watershed, China
    Jun Huang
    Environmental Monitoring and Assessment, 2018, 190