Spatial distribution of lead (Pb) in soil: a case study in a contaminated area of the Czech Republic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F22%3A92312" target="_blank" >RIV/60460709:41210/22:92312 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.tandfonline.com/doi/full/10.1080/19475705.2022.2039786" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/19475705.2022.2039786</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/19475705.2022.2039786" target="_blank" >10.1080/19475705.2022.2039786</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Spatial distribution of lead (Pb) in soil: a case study in a contaminated area of the Czech Republic

Popis výsledku v původním jazyce

For decades, the Pribram district in the Czech Republic hs been affected by industrial and mining activities, which are the main sources of heavy metal pollutants and negatively affect soil quality. A recent study examined visible near infrared., shortwave infrared and X ray fluoresence spectroscopy to model soil lead content in a selected area located in Pribram. Following that study, and using the dta, we examined the sparial distribution of Pb content in the soil, with a comination of traditional techniques. The results indicated that Pb was a spatially dependent soil property and through extensive in-situ sampling, it was possible to generate an accurate interpolation model. The high-Pb hotspots coincided with topographic obstacles that were modeled using topographic profiles extracted from Google Earth, indicating that Pb content does not always exhibit a direct relationship with topographic height as a result of runoff, due to the contribution of topographic steps. This observation provides a n

Název v anglickém jazyce

Spatial distribution of lead (Pb) in soil: a case study in a contaminated area of the Czech Republic

Popis výsledku anglicky

For decades, the Pribram district in the Czech Republic hs been affected by industrial and mining activities, which are the main sources of heavy metal pollutants and negatively affect soil quality. A recent study examined visible near infrared., shortwave infrared and X ray fluoresence spectroscopy to model soil lead content in a selected area located in Pribram. Following that study, and using the dta, we examined the sparial distribution of Pb content in the soil, with a comination of traditional techniques. The results indicated that Pb was a spatially dependent soil property and through extensive in-situ sampling, it was possible to generate an accurate interpolation model. The high-Pb hotspots coincided with topographic obstacles that were modeled using topographic profiles extracted from Google Earth, indicating that Pb content does not always exhibit a direct relationship with topographic height as a result of runoff, due to the contribution of topographic steps. This observation provides a n

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

Projekt

<a href="/cs/project/GJ18-28126Y" target="_blank" >GJ18-28126Y: Hodnocení kontaminace půdy s využitím hyperspektrálních satelitních dat</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Geomatics Natural Hazards & Risk

ISSN

1947-5705

e-ISSN

1947-5713

Svazek periodika

13

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

11

Strana od-do

610-620

Kód UT WoS článku

000759921000001

EID výsledku v databázi Scopus

2-s2.0-85125710085