Assessing the effects of wind farms on soil organic carbon

Pekkan, Özge Isik; Kürkçüoğlu, Müzeyyen Anıl Şenyel; Çabuk, Saye Nihan; Aksoy, Talha; Yılmazel, Burcu; Küçükpehlivan, Tuncay; Dabanlı, Ahmet; Çabuk, Alper; Çetin, Mehmet

doi:10.1007/s11356-020-11777-x

Cited by 57 publications

(9 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Referring to descriptions of datasets in relevant research (Pekkan et al 2021), all variables are explained in Table 1. The relevant data comes from the China Statistical Yearbook, China Energy Statistical Yearbook, and the Wind database.…”

Section: Data and Methodology Datamentioning

confidence: 99%

Research on the spatial effect and threshold effect of industrial structure upgrading on carbon emissions in China

Zhou

2021

Journal of Water and Climate Change

View full text Add to dashboard Cite

Based on panel data from 2000 to 2017 in 29 Chinese provinces, this paper analyzes the impact of industrial structure upgrading on carbon emissions by constructing a spatial panel model and a panel threshold model. The results show that (1) there is a significant spatial correlation between carbon emissions in Chinese provinces, and the carbon emissions of a province are affected by the carbon emissions of surrounding provinces; (2) in China, carbon emissions have a significant time lag feature, and current carbon emissions are largely affected by previous carbon emissions; (3) industrial structure upgrading can effectively promote carbon emission reductions in local areas, and the impact of industrial structure upgrading on carbon emissions has a significant threshold effect. With continued economic development, the promotion effect of industrial structure upgrading on carbon emission reductions will decrease slightly, but this carbon emission reduction effect is still significant. (4) In addition, there is a clear difference between the impact of energy consumption intensity and population size on carbon emissions in short and long terms. In the short term, the increase in energy consumption intensity and the expansion of population size not only increase the carbon emissions of a local area but also increase the carbon emissions of neighboring areas. In the long term, the impact of energy consumption intensity and population size on carbon emissions of neighboring areas will be weakened, but the promotion impact on carbon emissions in local areas will be strengthened.

show abstract

Section: Data and Methodology Datamentioning

confidence: 99%

Research on the spatial effect and threshold effect of industrial structure upgrading on carbon emissions in China

Zhou

2021

Journal of Water and Climate Change

View full text Add to dashboard Cite

show abstract

“…Onshore wind farms have predominantly negative impacts on local soil physicochemical properties. Various studies have found a decrease in soil organic carbon, increases in soil bulk density, total porosity and pH, and decreases in soil conductivity, water content, total salt, total nitrogen, total carbon, total phosphorus, alkaline dissolved nitrogen, quick-acting phosphorus, quick-acting potassium, and organic matter in the disturbed areas inside and around the onshore wind farms (Smith et al, 2014; Li, 2015; Wang et al, 2015; Liu et al, 2020; Pekkan et al, 2021; Zhang et al, 2022) (Table 1).…”

Section: Impacts Of Onshore Wind Farms On Local Climatementioning

confidence: 99%

Localized Eco-Climatic Impacts of Onshore Wind Farms: A Review

Ze,

Xiuchun,

Ang

et al. 2024

Journal of Resources and Ecology

View full text Add to dashboard Cite

The construction and operation of onshore wind farms interfere with the succession of local plant communities, and the impacts on the local ecology and climate are of great concern. The study of the relationships between onshore wind farms and local ecology and climate, as well as the accurate assessment of the impacts of onshore wind farms on local areas, are the foundation for promoting the sustainable development of green energy. In this study, we summarize the existing research methods used for field data monitoring, remote sensing data inversion and numerical model simulation, and found that onshore wind farms have obvious impacts on the local vegetation index, near-surface temperature, wind speed, soil moisture, and other parameters. Onshore wind farms reduce the local soil moisture content, increase the near-surface air temperature, and significantly alter local wind speeds. They also cause a reduction in the local vegetation index, inhibition of plant growth, and an increase in the mortality rates of birds and bats inside the wind farms. However, onshore wind farms have positive effects on the plant communities outside the wind farms, especially in the downwind direction. Overall, there is regional variability in the results and the findings are not generalizable. The mechanisms by which the onshore wind farms influence the local climate, the impact of climate on local ecology, and the direct effects of onshore wind farms on local ecology have not been clearly and accurately explained. Related research is still needed to further improve the precision, accuracy, and continuity of observational data. The construction of modeling systems also needs to incorporate indicators such as land use type, local microclimatic indicators, and plant species. Based on these considerations, this review provides support for macroscopically understanding the impacts of onshore wind farms on climate and ecology.

show abstract

“…industry (Contreras-Tereza et al 2021), application of fertilizer (e.g., Rashid et al 2023;Salem et al 2020), or traffic density (Cesur et al 2021;Cetin and Jawed 2022;Sevik et al 2020). All these human activities have negative impact on nature environment (e.g., Aricak et al 2020;Bozdogan et al 2019;Pekkan et al 2021;Siddique et al 2021;Yücedağ and Kaya 2019;Zhao et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Heavy metals contamination of post-mining mounds of former iron-ore mining activity

Podgórska,

Jóźwiak

2023

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

The main question of the present study is how much are the former post-mining mounds (PMM) - the ancient remnants of mining of a provisional nature located in forest areas-contaminated by heavy metals (HM). To investigate if the PMM contain HM, we collected 15 soil samples from PMM and, for comparison, 15 from the surroundings - all these samples (30) were collected from a depth of 5–30 cm by soil auger. To find how deep the contamination of HM goes, we did 4 soil profiles to the depth 100 cm in four randomly selected PMM. In every soil profile, 4 soil samples were collected (16 soil profile samples). In total, 46 soil samples were analysed. Concentrations of HM were measured using spectrophotometry. Our results indicate the following: (1) PMM are not much contaminated by HM - only two (Fe and Mn) from nine HM significantly exceed the limits - the order of abundance of the studied HM is as follows: Fe > Mn > Cr > Zn > Ni > Cu > Pb > Co > Cd; (2) PMM are more contaminated by heavy metals than their surroundings; (3) within PMM, overburden is much more contaminated by HM than paleosols; (4) the rate of penetration of HM into the depth of the soils (into paleosols) is reduced due to the properties of the overburden of PMM.

show abstract

Assessing the effects of wind farms on soil organic carbon

Cited by 57 publications

References 39 publications

Research on the spatial effect and threshold effect of industrial structure upgrading on carbon emissions in China

Research on the spatial effect and threshold effect of industrial structure upgrading on carbon emissions in China

Localized Eco-Climatic Impacts of Onshore Wind Farms: A Review

Heavy metals contamination of post-mining mounds of former iron-ore mining activity

Contact Info

Product

Resources

About