nach oben

Erschienen in:

2021 | OriginalPaper | Buchkapitel

31. Soil Loss Estimation for Sustainable Watershed Conservation in Semi-arid Bengal Basin

verfasst von : Sudipa Halder, Malabika Biswas Roy, Shuvoshri Bhattacharya, Souvik Mondal, Pankaj Kumar Roy

Erschienen in: Advances in Water Resources Management for Sustainable Use

Verlag: Springer Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Soil loss is one of the major distress in any watershed where natural agents and anthropogenic activities predominate. Quantitative evaluation of soil loss is a prerequisite for proper planning and effective conservation of watershed or basin. Nowadays various approaches of modelling techniques help to estimate soil loss under a wide range of conditions. An ungauged river basin with a lot of bare land and dry fallows makes it important to carve out the information related to its intensity and magnitude towards soil erosion. In this study Revised Universal Soil Loss Equation Integrated with remote sensing and Geographical Information System has been utilized to estimate the soil loss in Shilabati river basin located in the south eastern part of West Bengal, India. The basin is immensely criss-crossed by numerous rills and gullies at the middle stretch and has a total area of 3881 km². Total estimated soil loss from the basin ranged from 40.079 to 677.93 t/ha/year. For the estimation of its erosion efficiency Sediment Delivery Ratio from a number of empirical equations has also been calculated. The basin has been divided into 23 sub-basins and prioritization rank has been assigned applying Technique for Order of Preference by Similarity to Ideal Solution model including the morphometric attributes and Sediment Delivery Ratio values. Sub-basin number 1, 2, 3, 5, 16, 18, 20 and 7 has been incurring the highest loss and should be under foremost conservation measure.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Identification of Critical Watersheds Based on Morphometric Analysis and Prioritization of Sagar Island, India

Nächstes Kapitel Assessment of Topographic Complexity Zone of a Drainage Basin Using Geographic Information System

Naqvi HR, Devi LM, Siddiqui MA (2012) Soil loss prediction and prioritization based on revised universal soil loss estimation (RUSLE) model using geospatial technique. Int J Environ Prot 2:39–43

Yiferu Y, Taddese G, Mebrate T (2018) Influence of soil erosion and conservation practices on soil physical properties in Ginaberet, Ethiopia. For Res Eng: Int J 2:288–297. https://doi.org/10.15406/freij.2018.02.00062CrossRef

Saha A, Ghosh P, Mitra B (2018) GIS based soil erosion estimation using RUSLE model: a case study of upper Kangsabati watershed, West Bengal, India. Int J Environ Sci Nat Resour 13. https://doi.org/10.19080/ijesnr.2018.13.555871

Swamy YAN, Inayathulla M, Shashishankar A (2017) Spatial estimation of soil erosion using RUSLE, RS, and GIS techniques: a case study of T.G. Halli watershed, Karnataka, India. Int J Eng Dev Res 5:1056–1063

Juying J, Houyuan Z, Yanfeng J, Ning W (2009) Research progress on the effects of soil erosion on vegetation. Acta Ecol Sin 29:85–91. https://doi.org/10.1016/j.chnaes.2009.05.001CrossRef

Wijesundara NC, Abeysingha NS, Dissanayake DMSLB (2018) GIS-based soil loss estimation using RUSLE model: a case of Kirindi Oya river basin, Sri Lanka. Model Earth Syst Environ 4:251–262. https://doi.org/10.1007/s40808-018-0419-zCrossRef

Xu XZ, Zhang WH, Wang GQ, Chen SC (2009) An experimental method to verify soil conservation by check dams on the Loess plateau. Environ Monit Assess 159:293–309. https://doi.org/10.1007/s10661-008-0630-xCrossRef

Gessesse GD, Klik A, Hurni H (2009) Assessment of soil erosion and soil conservation practices in Angereb watershed, Ethiopia: technological and land user context. In: Biophysical and socio-economic frame conditions for the sustainable management of natural resources: book of abstracts, p. 52. DITSL, Witzenhausen, Deutschland. https://doi.org/10.7892/boris.36563

Shit PK, Bhunia GS, Maiti R (2013) Assessing the performance of check dams to control rill-gully erosion: small catchment scale study. Int J Curr Res 5:899–906

10.

Uddin K, Murthy MSR, Wahid SM, Matin MA (2016) Estimation of soil erosion dynamics in the Koshi basin using GIS and remote sensing to assess priority areas for conservation. PLoS ONE 11:e0150494. https://doi.org/10.1371/journal.pone.0150494CrossRef

11.

Sahu A, Baghel T, Sinha MK, Ahmad I (2017) Soil erosion modeling using RUSLE and GIS on Dudhawa catchment. Int J Appl Environ Sci 12:1147–1158

12.

Parveen R, Kumar U (2012) Integrated approach of universal soil loss equation (USLE) and geographical information system (GIS) for soil loss risk assessment in Upper South Koel basin, Jharkhand. J Geogr Inf Syst 4:588–596. https://doi.org/10.4236/jgis.2012.46061CrossRef

13.

Mahala A (2018) Soil erosion estimation using RUSLE and GIS techniques—a study of a plateau fringe region of tropical environment. Arab J Geosci 11:335. https://doi.org/10.1007/s12517-018-3703-3CrossRef

14.

Markose VJ, Jayappa KS (2016) Soil loss estimation and prioritization of sub-watersheds of Kali River basin, Karnataka, India, using RUSLE and GIS. Environ Monit Assess 188:225. https://doi.org/10.1007/s10661-016-5218-2

15.

Karthick P, Lakshumanan C, Ramki P (2017) Estimation of soil erosion vulnerability in Perambalur Taluk, Tamil Nadu using revised universal soil loss equation model (RUSLE) and geo information technology. Int Res J Earth Sci 5:8–14

16.

Hussain F, Nabi G, Wu RS, Hussain B (2019) Parameter evaluation for soil erosion estimation on small watersheds using SWAT model. Int J Agri Biol Eng 12:96–108

17.

Islam MdR, Jaafar WZW, Hin LS et al (2018) Soil erosion assessment on hill slope of GCE using RUSLE model. J Earth Syst Sci 127:50. https://doi.org/10.1007/s12040-018-0951-2CrossRef

18.

Boomer K, Weller D, Jordan T (2008) Empirical models based on the universal soil loss equation fail to predict sediment discharges from Chesapeake Bay catchments. J Environ Qual 37:79–89. https://doi.org/10.2134/jeq2007.0094CrossRef

19.

Lim KJ, Sagong M, Engel BA, Tang Z, Choi J, Kim KS (2005) GIS-based sediment assessment tool. CATENA 64:61–80. https://doi.org/10.1016/j.catena.2005.06.013CrossRef

20.

Jozaghi A, Alizadeh B, Hatami M, Flood I, Khorrami M, Khodaei N, Ghasemi TE (2018) A comparative study of the AHP and TOPSIS techniques for dam site selection using GIS: a case study of Sistan and Baluchestan Province, Iran. Geosci 8:494CrossRef

21.

Monjezi M, Rezaei M (2011) Developing a new fuzzy model to predict burden from rock geomechanical properties. Expert Syst Appl 38:9266–9273. https://doi.org/10.1016/j.eswa.2011.01.029CrossRef

22.

Aouraghn MH, Essahlaoui A (2018) A TOPSIS approach-based morphometric analysis for sub-watersheds prioritization of high Oum Er-Rbia basin, Morocco. Spat Inf Res 26:187. https://doi.org/10.1007/s41324-018-0169-zCrossRef

23.

Ghosh KG (2019) Spatial and temporal appraisal of drought jeopardy over the Gangetic West Bengal, Eastern India. Geoenviron Disasters 6:1. https://doi.org/10.1186/s40677-018-0117-1CrossRef

24.

Biswas S, Pal R, Pramanik M, Mondal B (2015) Assessment of anthropogenic factors and floods using remote sensing and GIS on Lower Regimes of Kangshabati-Rupnarayan river basin, India. Int J Remote Sens GIS 4:77–86

25.

Shit PK, Paira R, Bhunia G et al (2015) Modeling of potential gully erosion hazard using geo-spatial technology at Garbheta block, West Bengal in India. Model Earth Syst Environ 1:2. https://doi.org/10.1007/s40808-015-0001-xCrossRef

26.

Hwang CL, Yoon K (1981) Multiple attribute decision making: methods and applications, a state-of-the-art survey. Springer-Verlag, New York. https://doi.org/10.1007/978-3-642-48318-9CrossRefMATH

27.

Renard KG, Foster GR, Weesies A, McCool DK, Yoder DC (1997) Predicting soil erosion by water: a guide to conservation planning with the revised universal soil loss equation (RUSLE). US Government Printing Office, Washington, DC

28.

Melo DCD, Xavier AC, Bianchi T, Oliveira PTS, Scanlon BR, Lucas MC, Wendland E (2015) Performance evaluation of rainfall estimates by TRMM multi-satellite precipitation analysis 3B42V6 and V7 over Brazil. J Geophys Res: Atmos 120, 9426–9436. https://doi.org/10.1002/2015jd023797

29.

Arnoldus HMJ (1980) An approximation of the rainfall factor in the universal soil loss equation. In: De Boodt M, Gabriels D (eds) Assessment of erosion. John Wiley and Sons, New York, pp 127–132

30.

Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses: a guide to conservation planning agriculture handbook 282. USDA-ARS, USA

31.

Shit PK, Maiti R (2012) Mechanism of Gully-Head retreat-a study at Ganganir Danga, Paschim Medinipur, West Bengal. Ethiop J Environ Stud Manage 5:332–334. https://doi.org/10.4314/ejesm.v5i4.2CrossRef

32.

Ashiagbor G, Forkuo KE, Laari P, Aabeyir R (2014) Modeling soil erosion using RUSL an GIS tool. Int J Remote Sens Geosci 2(4)

33.

Karaburun A (2010) Estimation of C factor for soil erosion modeling using NDVI in Buyukcekmece watershed. Ozean J Appl Sci 3:77–85

34.

Kim JB, Saunders P, Finn JT (2005) Rapid assessment of soil erosion in the Rio Lempa Basin, Central America, using the universal soil loss equation and geographic information systems. Environ Manage 36:872–885. https://doi.org/10.1007/s00267-002-0065-zCrossRef

35.

Ganasri BP, Ramesh H (2016) Assessment of soil erosion by RUSLE model using remote sensing and GIS—a case study of Nethravathi basin. Geosci Front 7:953–961. https://doi.org/10.1016/j.gsf.2015.10.007CrossRef

36.

Ameri AA, Pourghasemi HR, Cerda A (2018) Erodibility prioritization of sub-watersheds using morphometric parameters analysis and its mapping: a comparison among TOPSIS, VIKOR, SAW, and CF multi-criteria decision making models. Sci Total Environ 613–614(1):1385–1400. https://doi.org/10.1016/j.scitotenv.2017.09.210CrossRef

37.

Horton RE (1945) Erosional development of streams and their drainage basins; hydrophysical approach to quantitative morphology. Bull Geol Soc Am 56:275–370. https://doi.org/10.1177/030913339501900406CrossRef

38.

Schumm SA (1956) Evolution of drainage systems and slopes in badlands at Perth Amboy, New Jersey. Bull Geol Soc Am 67:597–646CrossRef

39.

Renfro WG (1975) Use of erosion equation and sediment delivery ratios for predicting sediment yield. In: Present and prospective technology for predicting sediment yields and sources. U.S. Department of Agriculture Publication ARS-S-40, 33–45

40.

Vanoni VA (2006) Sedimentation engineering. American Society of Civil Engineers, Reston VA, classic edition

41.

USDA-NRCS (1983) Sediment sources, yields, and delivery ratios. In: National engineering handbook, section 3, sedimentation. U.S. Government Printing Office, Washington, DC

42.

Williams JR, Berndt HD (1972) Sediment yield computed with universal equation. J Hydraulics Div 98(2):2087–2098CrossRef

43.

Maner SB (1958) Factors affecting sediment delivery rates in the Red Hills physiographic area. Eos Trans Am Geophys Union 39:669–675. https://doi.org/10.1029/TR039i004p00669CrossRef

44.

Boyce RC (1975) Sediment routing with sediment delivery ratios. In: Present and prospective technology for predicting sediment yields and sources. U.S. Department of Agriculture Publication ARS-S-40, 61–65

45.

Makhdumi W, Dwarakish GS (2019) Prioritisation of watersheds using TOPSIS and VIKOR method. In: Proceedings of SPIE 11174, seventh international conference on remote sensing and geoinformation of the environment (RSCy2019). https://doi.org/10.1117/12.2532024

46.

Mahala A (2019) Land degradation processes of Silabati river basin, West Bengal, India: a physical perspective. In: Gully erosion studies from India and surrounding regions (Chap. 15). Springer, pp 265–278

47.

Mondal MdA (2019) Land capability classification of Bankura district, West Bengal. Indian J Spat Sci 1(10):87–91

48.

Bhattarai R, Dutta D (2007) Estimation of soil erosion and sediment yield using GIS at catchment scale. Water Resour Manage 21:1635–1647. https://doi.org/10.1007/s11269-006-9118-zCrossRef

49.

Dutta S (2016) Soil erosion, sediment yield and sedimentation of reservoir: a review. Model Earth Syst Environ 2(123). https://doi.org/10.1007/s40808-016-0182-y

Titel: Soil Loss Estimation for Sustainable Watershed Conservation in Semi-arid Bengal Basin
verfasst von: Sudipa Halder
Malabika Biswas Roy
Shuvoshri Bhattacharya
Souvik Mondal
Pankaj Kumar Roy
Verlag: Springer Singapore
Buch: Advances in Water Resources Management for Sustainable Use
Print ISBN: 978-981-336-411-0

Electronic ISBN: 978-981-336-412-7

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-981-33-6412-7_31

Premium Partner

Marktübersichten

Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.

Zur Marktübersicht

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner

Marktübersichten