Skip to main content
Erschienen in: Earth Science Informatics 4/2021

06.08.2021 | Research Article

A study on the analysis of heavy metal concentration using spectral mixture modelling approach and regression in Tirupur, India

verfasst von: G. Wiselin Jiji

Erschienen in: Earth Science Informatics | Ausgabe 4/2021

Einloggen

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

search-config
loading …

Abstract

The increase of toxic concentration leads environmental pollution. Soil pollution has become the most important problem of current scenario due to the rapid growth of industries. The pollution level can be measured based on the concentration of heavy metals in soil. This work focus on the level of heavy metal concentration in Soil because of water pollution in Tirupur District, Tamilnadu, India, known for dying activities. The heavy metal concentrations have been investigated using soil samples and remote sensing data (Landsat 8 OLI images) with the relevant soil standards. Spectral mixture modelling approach and regression analysis are applied to the field and remote sensing data to map heavy metal contamination in soil. Finally, the element concentration of remote sensing data was correlated with in-situ data and results are analyzed.

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!

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!

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!

Literatur
Zurück zum Zitat Admasu D, Reddy DN, Mekonnen KN (2016) Trace determination of zinc in soil and vegetable samples by spectrophotometry using pyridoxal thiosemicarbazone and 2-acetyl pyridine thiosemicarbazone. Cogent Chem 2(1):1249602CrossRef Admasu D, Reddy DN, Mekonnen KN (2016) Trace determination of zinc in soil and vegetable samples by spectrophotometry using pyridoxal thiosemicarbazone and 2-acetyl pyridine thiosemicarbazone. Cogent Chem 2(1):1249602CrossRef
Zurück zum Zitat Akot O, Abankwa E (2014) Heavy metals contamination and speciation in sediments of the Owabi reservoir. Environ Res J 8(1):10–16 Akot O, Abankwa E (2014) Heavy metals contamination and speciation in sediments of the Owabi reservoir. Environ Res J 8(1):10–16
Zurück zum Zitat Al Maliki A, Owens G, Bruce D (2012) Capabilities of remote sensing hyperspectral images for the detection of lead contamination: a review. In: ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, vols 1–7, XXII ISPRS Congress, 25 August–01 September 2012, Melbourne Al Maliki A, Owens G, Bruce D (2012) Capabilities of remote sensing hyperspectral images for the detection of lead contamination: a review. In: ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, vols 1–7, XXII ISPRS Congress, 25 August–01 September 2012, Melbourne
Zurück zum Zitat Central Pollution Control Board (1986) General standards for discharge of environmental pollutants. Schedule VI CPCB: Environment Protection Rules. Google Scholar Central Pollution Control Board (1986) General standards for discharge of environmental pollutants. Schedule VI CPCB: Environment Protection Rules. Google Scholar
Zurück zum Zitat Emenike CU, Fauziah SH, Agamuthu P (2012) Characterization and toxicological evaluation of leachate from closed sanitary landfill. Waste Manage Res 30(9):888–897CrossRef Emenike CU, Fauziah SH, Agamuthu P (2012) Characterization and toxicological evaluation of leachate from closed sanitary landfill. Waste Manage Res 30(9):888–897CrossRef
Zurück zum Zitat Isak AA (2019) Determination of lead levels in soil for some areas at East Gezira And Khartoum—Sudan, Africa. Glob J Sci Front Res 19:27–32 Isak AA (2019) Determination of lead levels in soil for some areas at East Gezira And Khartoum—Sudan, Africa. Glob J Sci Front Res 19:27–32
Zurück zum Zitat Kabir MS, Salam MA, Paul DNR, Hossain MI, Rahman NMF, Aziz A, Latif MA (2016) Spatial variation of arsenic in soil, irrigation water, and plant parts: a microlevel study. Sci World J 2016:2186069CrossRef Kabir MS, Salam MA, Paul DNR, Hossain MI, Rahman NMF, Aziz A, Latif MA (2016) Spatial variation of arsenic in soil, irrigation water, and plant parts: a microlevel study. Sci World J 2016:2186069CrossRef
Zurück zum Zitat Kaur S, Bansal RK, Mittal M, Goyal LM, Kaur I, Verma A (2019) Mixed pixel decomposition based on extended fuzzy clustering for single spectral value remote sensing images. J Indian Soc Remote Sens 47:427–437CrossRef Kaur S, Bansal RK, Mittal M, Goyal LM, Kaur I, Verma A (2019) Mixed pixel decomposition based on extended fuzzy clustering for single spectral value remote sensing images. J Indian Soc Remote Sens 47:427–437CrossRef
Zurück zum Zitat Kemper T, Sommer S (2003) Mapping and monitoring of residual heavy metal contamination and acidification risk after the aznalcóllar mining accident (Andalusia, Spain) using field and airborne hyperspectral data. Int J Remote Sens 31(9):2309–2324 Kemper T, Sommer S (2003) Mapping and monitoring of residual heavy metal contamination and acidification risk after the aznalcóllar mining accident (Andalusia, Spain) using field and airborne hyperspectral data. Int J Remote Sens 31(9):2309–2324
Zurück zum Zitat Kemper T, Sommer S (2004) Use of airborne hyperspectral data to estimate residual heavy metal contamination and acidification potential in the Guadiamar floodplain Andalusia, Spain after the Aznacollar mining accident. In: Remote sensing for environmental monitoring, GIS applications, and geology IV, vol 5574. International Society for Optics and Photonics, pp 224–234 Kemper T, Sommer S (2004) Use of airborne hyperspectral data to estimate residual heavy metal contamination and acidification potential in the Guadiamar floodplain Andalusia, Spain after the Aznacollar mining accident. In: Remote sensing for environmental monitoring, GIS applications, and geology IV, vol 5574. International Society for Optics and Photonics, pp 224–234
Zurück zum Zitat Ma W, Tan K, Du Q, Ding J, Yan Q (2016) Estimating soil heavy metal concentration using hyperspectral data and weighted K-NN method. In: 2016 8th workshop on hyperspectral image and signal processing: evolution in remote sensing (WHISPERS). IEEE, pp 1–4 Ma W, Tan K, Du Q, Ding J, Yan Q (2016) Estimating soil heavy metal concentration using hyperspectral data and weighted K-NN method. In: 2016 8th workshop on hyperspectral image and signal processing: evolution in remote sensing (WHISPERS). IEEE, pp 1–4
Zurück zum Zitat Mittal M, Satapathy SC, Pal V, Agarwal B, Goyal LM, Parwekar P (2021) Prediction of coefficient of consolidation in soil using machine learning techniques. Microprocess Microsyst 82:103830CrossRef Mittal M, Satapathy SC, Pal V, Agarwal B, Goyal LM, Parwekar P (2021) Prediction of coefficient of consolidation in soil using machine learning techniques. Microprocess Microsyst 82:103830CrossRef
Zurück zum Zitat Nadari A, Delavar MA, Kaboudin B, Askari MS (2017) Assessment of spatial distribution of soil heavy metals using ANN-GA, MSLR and satellite imagery. Environ Monit Assess 189:214CrossRef Nadari A, Delavar MA, Kaboudin B, Askari MS (2017) Assessment of spatial distribution of soil heavy metals using ANN-GA, MSLR and satellite imagery. Environ Monit Assess 189:214CrossRef
Zurück zum Zitat Nalawade PM, Bholay AD, Mule MB (2012) Assessment of Groundwater and surface water quality indices for heavy metals nearby area of Parli thermal power plant. Univers J Environ Res Technol 2(1):47–51 Nalawade PM, Bholay AD, Mule MB (2012) Assessment of Groundwater and surface water quality indices for heavy metals nearby area of Parli thermal power plant. Univers J Environ Res Technol 2(1):47–51
Zurück zum Zitat Pandit CM, Filippelli GM, Li L (2010) Estimation of heavy-metal contamination in soil using reflectance spectroscopy and partial least-squares regression. Int J Remote Sens 31(15):4111–4123CrossRef Pandit CM, Filippelli GM, Li L (2010) Estimation of heavy-metal contamination in soil using reflectance spectroscopy and partial least-squares regression. Int J Remote Sens 31(15):4111–4123CrossRef
Zurück zum Zitat Pelcová P, Ridošková A, Hrachovinová J, Grmela J (2020) Fractionation analysis of mercury in soils: a comparison of three techniques for bioavailable mercury fraction determination. Environ Toxicol Chem 39(9):1670–1677CrossRef Pelcová P, Ridošková A, Hrachovinová J, Grmela J (2020) Fractionation analysis of mercury in soils: a comparison of three techniques for bioavailable mercury fraction determination. Environ Toxicol Chem 39(9):1670–1677CrossRef
Zurück zum Zitat Peng L, Cheng H, Wang LJ, Zhu D (2020) Comparisons of the prediction results of soil properties based on fuzzy c-means clustering and expert knowledge from laboratory visible–near-infrared reflectance spectroscopy data. Can J Soil Sci 101(1):33–44CrossRef Peng L, Cheng H, Wang LJ, Zhu D (2020) Comparisons of the prediction results of soil properties based on fuzzy c-means clustering and expert knowledge from laboratory visible–near-infrared reflectance spectroscopy data. Can J Soil Sci 101(1):33–44CrossRef
Zurück zum Zitat Peralta-Videa JR, Gardea-Torresdey JL, Gomez E, Tiemann KJ, Parsons JG, Carrillo G (2002) Effect of mixed cadmium, copper, nickel and zinc at different pHs upon alfalfa growth and heavy metal uptake. Environ Pollut 119(3):291–301CrossRef Peralta-Videa JR, Gardea-Torresdey JL, Gomez E, Tiemann KJ, Parsons JG, Carrillo G (2002) Effect of mixed cadmium, copper, nickel and zinc at different pHs upon alfalfa growth and heavy metal uptake. Environ Pollut 119(3):291–301CrossRef
Zurück zum Zitat Peters DC, Hauff PL, Peppin WA, Prosh EC, Borstad GA, Henderson III FB, Dillenbeck ED, Closs LG, Lee K, Thiros JL, Coulter DW, Robbins DA, Wangerud KW (2001) Waste identification and characterization for the international smelter area using CASI/SFSI hyperspectral remote sensing data. In: Paper presented at the Tailings & Mine Waste 2001 conference in Fort Collins, CO, 16 January 2001 Peters DC, Hauff PL, Peppin WA, Prosh EC, Borstad GA, Henderson III FB, Dillenbeck ED, Closs LG, Lee K, Thiros JL, Coulter DW, Robbins DA, Wangerud KW (2001) Waste identification and characterization for the international smelter area using CASI/SFSI hyperspectral remote sensing data. In: Paper presented at the Tailings & Mine Waste 2001 conference in Fort Collins, CO, 16 January 2001
Zurück zum Zitat Qian Y, Xiong F, Qian Q, Zhou J (2020) Spectral mixture model inspired network architectures for hyperspectral unmixing. IEEE Trans Geosci Remote Sens 58(10):7418–7434CrossRef Qian Y, Xiong F, Qian Q, Zhou J (2020) Spectral mixture model inspired network architectures for hyperspectral unmixing. IEEE Trans Geosci Remote Sens 58(10):7418–7434CrossRef
Zurück zum Zitat Sawaya KE, Olmanson LG, Heinert NJ, Brezonik PL, Bauer ME (2003) Extending satellite remote sensing to local scales: land and water resource monitoring using high-resolution imagery. Remote Sens Environ 88:144–156CrossRef Sawaya KE, Olmanson LG, Heinert NJ, Brezonik PL, Bauer ME (2003) Extending satellite remote sensing to local scales: land and water resource monitoring using high-resolution imagery. Remote Sens Environ 88:144–156CrossRef
Zurück zum Zitat Tirkey P, Bhattacharya T, Chakraborty S (2016) Arsenic and other metals in the groundwater samples of Ranchi city, Jharkhand, India. Curr Sci 110(1):76CrossRef Tirkey P, Bhattacharya T, Chakraborty S (2016) Arsenic and other metals in the groundwater samples of Ranchi city, Jharkhand, India. Curr Sci 110(1):76CrossRef
Zurück zum Zitat Tiwari MK, Bajpai S, Dewangan UK (2015) An analytical study of heavy metal concentration in soil of an industrial region of Chhattisgarh, central India. Int J Sci Res Publ 5(7):1–8 Tiwari MK, Bajpai S, Dewangan UK (2015) An analytical study of heavy metal concentration in soil of an industrial region of Chhattisgarh, central India. Int J Sci Res Publ 5(7):1–8
Zurück zum Zitat Yan X, Zhang F, Zeng C, Zhang M, Devkota LP, Yao T (2012) Relationship between heavy metal concentrations in soils and grasses of roadside farmland in Nepal. Int J Environ Res Public Health 9(9):3209–3226CrossRef Yan X, Zhang F, Zeng C, Zhang M, Devkota LP, Yao T (2012) Relationship between heavy metal concentrations in soils and grasses of roadside farmland in Nepal. Int J Environ Res Public Health 9(9):3209–3226CrossRef
Zurück zum Zitat Zhao H, Xia B, Fan C, Zhao P, Shen S (2012) Human health risk from soil heavy metal contamination under different land uses near Dabaoshan Mine, Southern China. Sci Total Environ 417–418:45–54CrossRef Zhao H, Xia B, Fan C, Zhao P, Shen S (2012) Human health risk from soil heavy metal contamination under different land uses near Dabaoshan Mine, Southern China. Sci Total Environ 417–418:45–54CrossRef
Zurück zum Zitat Zhen J, Pei T, Xie S (2019) Kriging methods with auxiliary nighttime lights data to detect potentially toxic metals concentrations in soil. Sci Total Environ 659:363–371CrossRef Zhen J, Pei T, Xie S (2019) Kriging methods with auxiliary nighttime lights data to detect potentially toxic metals concentrations in soil. Sci Total Environ 659:363–371CrossRef
Zurück zum Zitat Żukowska J, Biziuk M (2008) Methodological evaluation of method for dietary heavy metal intake. J Food Sci 73(2):R21–R29CrossRef Żukowska J, Biziuk M (2008) Methodological evaluation of method for dietary heavy metal intake. J Food Sci 73(2):R21–R29CrossRef
Metadaten
Titel
A study on the analysis of heavy metal concentration using spectral mixture modelling approach and regression in Tirupur, India
verfasst von
G. Wiselin Jiji
Publikationsdatum
06.08.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Earth Science Informatics / Ausgabe 4/2021
Print ISSN: 1865-0473
Elektronische ISSN: 1865-0481
DOI
https://doi.org/10.1007/s12145-021-00678-3

Weitere Artikel der Ausgabe 4/2021

Earth Science Informatics 4/2021 Zur Ausgabe

Premium Partner