PMID- 32921375
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20200915
LR  - 20220418
IS  - 1879-1026 (Electronic)
IS  - 0048-9697 (Linking)
VI  - 734
DP  - 2020 Sep 10
TI  - Sub-basin prioritization for assessment of soil erosion susceptibility in 
      Kangsabati, a plateau basin: A comparison between MCDM and SWAT models.
PG  - 139474
LID - S0048-9697(20)32991-0 [pii]
LID - 10.1016/j.scitotenv.2020.139474 [doi]
AB  - Kangsabati basin located in tropical plateau region faces multiple problems of 
      soil erosion susceptibility (SES), soil fertility deterioration, and 
      sedimentation in reservoirs. Hence, identification of SES zones in thirty-eight 
      sub-basins (SB) for basin prioritization is necessary. The present research 
      addressed the issue by using four multi-criteria decision-making (MCDM) models: 
      VlseKriterijumska optimizacija I Kompromisno Resenje (VIKOR), technique for order 
      preference by similarity to ideal solution (TOPSIS), simple additive weighing 
      (SAW), compound factor (CF). To determine the best fitted method from MCDM for 
      erosion susceptibility (ES), a comparison has been made with Soil and Water 
      Assessment Tool (SWAT), where fifteen morphometric parameters were considered for 
      MCDM, and meteorological data, soil, slope and land use land cover (LULC) were 
      considered for SWAT model. Two validation indices of percentage change and 
      intensity change were used for evaluation and comparison of MCDM results. With 
      SWAT model performance, SWAT calibration and uncertainty analysis programs (CUP) 
      was used for sensitive analysis of SWAT parameters on flow discharge and sediment 
      load simulation. The results showed that 23, 16, 18 SB have high ES; therefore 
      they were given 1 to 3 ranks, whereas 31, 37, 21SB have low ES, hence given 38 to 
      36 rank as predicted by MCDM methods and SWAT. MCDM validation results depict 
      that VIKOR and CF methods are more acceptable than TOPSIS and SAW. Calibration 
      (flow discharge R(2) 0.86, NSE 0.75; sediment load R(2) 0.87, NSE 0.69) and 
      validation (flow discharge R(2) 0.79, NSE 0.55; sediment load R(2) 0.79, NSE 
      0.76) of SWAT model indicated that simulated results are well fitted with 
      observed data. Therefore, VIKOR reflects the significant role of morphometric 
      parameters on ES, whereas SWAT reflects the significant role of LULC, slope, and 
      soil on ES. However, it could be concluded that VIKOR is more effective MCDM 
      method in comparison to SWAT prediction.
CI  - Copyright (c) 2020 Elsevier B.V. All rights reserved.
FAU - Bhattacharya, Raj Kumar
AU  - Bhattacharya RK
AD  - Department of Geography, Vidyasagar University, Midnapore, West Bengal, India. 
      Electronic address: rajgeovu10@gmail.com.
FAU - Chatterjee, Nilanjana Das
AU  - Chatterjee ND
AD  - Department of Geography, Vidyasagar University, Midnapore, West Bengal, India. 
      Electronic address: nilanjana_vu@mail.vidyasagar.ac.in.
FAU - Das, Kousik
AU  - Das K
AD  - Department of Geography, Vidyasagar University, Midnapore, West Bengal, India. 
      Electronic address: kousikvugeo@gmail.com.
LA  - eng
PT  - Journal Article
DEP - 20200516
PL  - Netherlands
TA  - Sci Total Environ
JT  - The Science of the total environment
JID - 0330500
SB  - IM
CIN - Sci Total Environ. 2021 Oct 15;791:148424. PMID: 34144783
OTO - NOTNLM
OT  - Basin prioritization
OT  - Flow discharge
OT  - Sediment load
OT  - Sedimentation
COIS- Declaration of competing interest We are no conflict of interest in this work.
EDAT- 2020/09/15 06:00
MHDA- 2020/09/15 06:01
CRDT- 2020/09/14 05:33
PHST- 2020/02/12 00:00 [received]
PHST- 2020/05/14 00:00 [revised]
PHST- 2020/05/14 00:00 [accepted]
PHST- 2020/09/14 05:33 [entrez]
PHST- 2020/09/15 06:00 [pubmed]
PHST- 2020/09/15 06:01 [medline]
AID - S0048-9697(20)32991-0 [pii]
AID - 10.1016/j.scitotenv.2020.139474 [doi]
PST - ppublish
SO  - Sci Total Environ. 2020 Sep 10;734:139474. doi: 10.1016/j.scitotenv.2020.139474. 
      Epub 2020 May 16.