Hydromorphological analysis of Upper Tapi River Sub-basin, India, using QSWAT model

被引:0
|
作者
Priyamitra Munoth
Rohit Goyal
机构
[1] Malaviya National Institute of Technology,Department of Civil Engineering
关键词
Basin; Morphometric; GIS; QSWAT;
D O I
暂无
中图分类号
学科分类号
摘要
Morphometric parameters of a drainage basin are quantitative attributes of the landscape that are derived from the elevation surface and drainage network. The drainage characteristics of Upper Tapi River Sub-basin, India, were analysed by SRTM DEM using GIS tools, and the hydrologic parameters were calculated using QSWAT model. The QSWAT model was calibrated for the period 1991–2005 including 3-year warm-up period (1988–1990) with Sequential Uncertainty Fitting (SUFI-2) algorithm in SWAT Calibration and Uncertainty Program and validated for the period 2006–2013. The model performance is evaluated based on R2 (0.75), ENS (0.75) and PBIAS (1.1) values, which indicate very good agreement between observed and simulated discharge. The study area has been subdivided into 14 sub-watersheds, and 22 morphometric parameters have been calculated under three broad categories, viz. linear, aerial, and relief characteristics. The various morphometric and hydrologic parameters have been correlated with each other to understand their underlying relationship and control over the basin hydro-geomorphology. The R2 values for drainage density (Dd), sediment yield and evapotranspiration vary from 0.30 to 0.40. Similarly, the R2 values for stream frequency (Fs) and potential evapotranspiration, base flow, deep percolation, water yield were 0.93. 0.79, 0.75 and 0.81, respectively. The relationships among infiltration number (If), potential evapotranspiration, base flow, and sediment yield show the R2 values as 0.57, 0.48, and 0.70. Therefore, integration of morphometric parameters, GIS and QSWAT model have been done in this study to overcome the challenge of scarcity of observed data.
引用
收藏
页码:2111 / 2127
页数:16
相关论文
共 50 条
  • [11] Hydrogeochemistry of the Paravanar River Sub-Basin, Cuddalore District, Tamilnadu, India
    Shankar, K.
    Aravindan, S.
    Rajendran, S.
    E-JOURNAL OF CHEMISTRY, 2011, 8 (02) : 835 - 845
  • [12] Upper versus lower Colorado River sub-basin streamflow: characteristics, runoff estimation and model simulation
    Fassnacht, S. R.
    HYDROLOGICAL PROCESSES, 2006, 20 (10) : 2187 - 2205
  • [13] Quantitative Analysis of Faults in Huizhou Sub-basin, Pearl River Mouth Basin
    Boubacar Hamidou Leyla
    Junxia Zhang
    Linlong Yang
    Journal of Earth Science, 2018, 29 (01) : 169 - 181
  • [14] Quantitative Analysis of Faults in Huizhou Sub-basin, Pearl River Mouth Basin
    Boubacar Hamidou Leyla
    Junxia Zhang
    Linlong Yang
    Journal of Earth Science, 2018, 29 : 169 - 181
  • [15] Quantitative Analysis of Faults in Huizhou Sub-basin, Pearl River Mouth Basin
    Leyla, Boubacar Hamidou
    Zhang, Junxia
    Yang, Linlong
    JOURNAL OF EARTH SCIENCE, 2018, 29 (01) : 169 - 181
  • [16] Estimation of sediment yield using SWAT model for Upper Tapi basin
    Chandra, Prabhat
    Patel, P.L.
    Porey, P.D.
    Gupta, I.D.
    ISH Journal of Hydraulic Engineering, 2014, 20 (03) : 291 - 300
  • [17] Quantitative Analysis of Faults in Huizhou Sub-basin, Pearl River Mouth Basin
    Boubacar Hamidou Leyla
    Junxia Zhang
    Linlong Yang
    Journal of Earth Science, 2018, (01) : 169 - 181
  • [18] Prediction of sediment erosion pattern in Upper Tapi Basin, India
    Chandra, Prabhat
    Patel, P. L.
    Porey, P. D.
    CURRENT SCIENCE, 2016, 110 (06): : 1038 - 1049
  • [19] SEBAL BASED EVAPOTRANSPIRATION ESTIMATION FOR UPPER TAPI BASIN (INDIA)
    Pal, Lalit
    Kumar, Amit
    Ojha, C. S. P.
    Chandniha, Surendra Kumar
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 7380 - 7382
  • [20] Scenario study of the effect of different land use to a sub-basin in Yeongsan River basin using SWAT model
    Jolejole, Mark Edward
    Kim, Bum Jo
    Jeon, Dong Jin
    Cayetano, Mylene
    Kim, Joon Ha
    DESALINATION AND WATER TREATMENT, 2018, 120 : 198 - 204