Estimation of Suspended Sediment Concentration by M5 Model Tree Based on Hydrological and Moderate Resolution Imaging Sp
- PDF / 1,281,109 Bytes
- 13 Pages / 439.37 x 666.142 pts Page_size
- 55 Downloads / 188 Views
Estimation of Suspended Sediment Concentration by M5 Model Tree Based on Hydrological and Moderate Resolution Imaging Spectroradiometer (MODIS) Data Javad Zahiri 1
1
& Zeynab Mollaee & Mohammad Reza Ansari
2
Received: 30 November 2019 / Accepted: 25 May 2020/ # Springer Nature B.V. 2020
Abstract
The Estimation of suspended sediment concentration (SSC) is an important factor in river engineering, which is used as an indicator of land-use change, water quality studies, and all projects related to constructions in rivers. In this research, the M5 model tree and the Moderate Resolution Imaging Spectroradiometer (MODIS) data were utilized to estimate the SSC at Ahvaz station on the Karun River. In this study, 135 cloud-free images of the MODIS sensor on the Terra satellite were taken for days corresponding to field SSC data, during the years 2000 to 2015. Input parameters of the model tree in this study were flow discharge, derived from hydrological data, and red (R), near-infrared (NIR) bands, and NIR/R ratio extracted from MODIS imagery. The results of statistical analysis illustrate that the M5 model outperforms the sediment rating curve (SRC) method, which is the most common method of estimating suspended sediment load. The Nash-Sutcliffe efficiency index for the M5 model tree of 0.58 was achieved, which was much better than that of the SRC method (0.26). At high fluxes, the efficiency of the SRC method significantly reduced, while the model tree provides acceptable results. The global sensitivity analysis on the M5 model pointed out that 93% of output variance was established by the main effects of input parameters, and less than 7% belong to the interaction effects. 73% and 12% of output variance specified by the main effects of flow discharge and NIR/R ratio, respectively. Keywords Suspended sediment concentration . M5 model tree . MODIS . Global sensitivity
* Javad Zahiri [email protected]
1
Department of Water Engineering, Agricultural Sciences and Natural Resources University of Khuzestan, Khuzestan, Iran
2
Department of Soil Science, Agricultural Sciences and Natural Resources University of Khuzestan, Khuzestan, Iran
J. Zahiri et al.
1 Introduction Suspended sediment concentration (SSC) is an essential factor in the quality of the river and estuarine water. It has been considered by river engineering, ecology, and environmental researchers (Li and Li 2016), due to its significant role in the evolution of the geomorphology of canals, flood plains, and biogeochemical cycles (Park and Latrubesse 2014). The high concentration of suspended sediment affects the transmission of aquatic organisms and the fertility of the phytoplankton, and the whole aquatic system (Min et al. 2012). To study the environmental changes of sediment such as river morphological and water quality changes, and negative impacts on aquatic ecosystems, it is necessary to carefully monitor the sediment transport in rivers (Wang and Lu 2010). Most of the sediment transport formulas assume that the sediment transport rate can b
Data Loading...
