Effects of Chinese “double carbon strategy” on soil polycyclic aromatic hydrocarbons pollution DOI Creative Commons

Weiwei Wang,

Songchao Chen, Lu Chen

и другие.

Environment International, Год журнала: 2024, Номер 188, С. 108741 - 108741

Опубликована: Май 11, 2024

Polycyclic aromatic hydrocarbons (PAHs) and carbon dioxide primarily originate from the combustion of fossil fuels biomass. The implementation Chinese "double strategy" is expected to impact distribution PAH emissions, consequently influencing spatial trend PAHs in surface soil. Therefore, it crucial quantitatively evaluate effectiveness on soil pollution for purpose "the reduction emissions". This study utilized 15,088 individual concentration data 943 samples collected between 2003 2020 China, conjunction with emissions at a 10 km resolution, meta-analysis. calculated this are line global emission inventory (PKU-PAH-2007), relative standard deviation provincial level less than 25 %. Subsequently, novel method was developed using density K

Язык: Английский

An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions DOI
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

Chemosphere, Год журнала: 2021, Номер 277, С. 130126 - 130126

Опубликована: Март 19, 2021

Язык: Английский

Процитировано

261

Remote sensing of soil degradation: Progress and perspective DOI Creative Commons
Jingzhe Wang, Jianing Zhen, Weifang Hu

и другие.

International Soil and Water Conservation Research, Год журнала: 2023, Номер 11(3), С. 429 - 454

Опубликована: Март 15, 2023

Soils constitute one of the most critical natural resources and maintaining their health is vital for agricultural development ecological sustainability, providing many essential ecosystem services. Driven by climatic variations anthropogenic activities, soil degradation has become a global issue that seriously threatens environment food security. Remote sensing (RS) technologies have been widely used to investigate as it highly efficient, time-saving, broad-scope. This review encompasses recent advances state-of-the-art ground, proximal, novel RS techniques in degradation-related studies. We reviewed RS-related indicators could be monitoring properties. The direct (mineral composition, organic matter, surface roughness, moisture content soil) indirect proxies (vegetation condition land use/land cover change) evaluating were comprehensively summarized. results suggest these above are effective degradation, however, no system established date. also discussed RS's mechanisms, data, methods identifying specific phenomena (e.g., erosion, salinization, desertification, contamination). investigated potential relations between Sustainable Development Goals (SDGs) challenges prospective use assessing degradation. To further advance optimize technology, analysis retrieval methods, we identify future research needs directions: (1) multi-scale degradation; (2) availability data; (3) process modelling prediction; (4) shared dataset; (5) decision support systems; (6) rehabilitation degraded resource contribution technology. Because difficult monitor or measure all properties large scale, remotely sensed characterization related particularly important. Although not silver bullet, provides unique benefits studies from regional scales.

Язык: Английский

Процитировано

128

Influence of soil properties, topography, and land cover on soil organic carbon and total nitrogen concentration: A case study in Qinghai-Tibet plateau based on random forest regression and structural equation modeling DOI

Lijun Dai,

Jingsong Ge,

Lingqing Wang

и другие.

The Science of The Total Environment, Год журнала: 2022, Номер 821, С. 153440 - 153440

Опубликована: Янв. 29, 2022

Язык: Английский

Процитировано

76

Coupled retrieval of heavy metal nickel concentration in agricultural soil from spaceborne hyperspectral imagery DOI

Yishan Sun,

Shuisen Chen, Xuemei Dai

и другие.

Journal of Hazardous Materials, Год журнала: 2023, Номер 446, С. 130722 - 130722

Опубликована: Янв. 3, 2023

Язык: Английский

Процитировано

50

Monitoring of soil heavy metals based on hyperspectral remote sensing: A review DOI
Yulong Wang, Bin Zou, Liyuan Chai

и другие.

Earth-Science Reviews, Год журнала: 2024, Номер 254, С. 104814 - 104814

Опубликована: Май 15, 2024

Язык: Английский

Процитировано

16

Open Soil Spectral Library (OSSL): Building reproducible soil calibration models through open development and community engagement DOI Creative Commons
José Lucas Safanelli, Tomislav Hengl, Leandro Parente

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(1), С. e0296545 - e0296545

Опубликована: Янв. 13, 2025

Soil spectroscopy is a widely used method for estimating soil properties that are important to environmental and agricultural monitoring. However, bottleneck its more widespread adoption the need establishing large reference datasets training machine learning (ML) models, which called spectral libraries (SSLs). Similarly, prediction capacity of new samples also subject number diversity types conditions represented in SSLs. To help bridge this gap enable hundreds stakeholders collect affordable data by leveraging centralized open resource, Spectroscopy Global Good initiative has created Open Spectral Library (OSSL). In paper, we describe procedures collecting harmonizing several SSLs incorporated into OSSL, followed exploratory analysis predictive modeling. The results 10-fold cross-validation with refitting show that, general, mid-infrared (MIR)-based models significantly accurate than visible near-infrared (VisNIR) or (NIR) models. From independent model evaluation, found Cubist comes out as best-performing ML algorithm calibration delivery reliable outputs (prediction uncertainty representation flag). Although many well predicted, total sulfur, extractable sodium, electrical conductivity performed poorly all regions, some other nutrients physical performing one two regions (VisNIR NIR). Hence, use based solely on variations limitations. This study presents discusses resources were developed from aspects opening data, current limitations, future development. With genuinely science project, hope OSSL becomes driver community accelerate pace scientific discovery innovation.

Язык: Английский

Процитировано

3

Integrated Life Cycle Assessment for Sustainable Remediation of Contaminated Agricultural Soil in China DOI

Yuanliang Jin,

Liuwei Wang, Yinan Song

и другие.

Environmental Science & Technology, Год журнала: 2021, Номер 55(17), С. 12032 - 12042

Опубликована: Авг. 9, 2021

Agricultural land degradation is posing a serious threat to global food security. Restoration of the degraded has traditionally been viewed as an inherently sustainable practice; however, restoration processes render consequential environmental impacts which could potentially exceed benefit itself. In present study, integrated life cycle assessment analysis was conducted evaluate primary, secondary, and tertiary associated with contaminated agricultural land. The results demonstrated importance including spatially differentiated managing growing crops. Comparing four risk management scenarios at field in Southern China, it found that primary secondary followed order no action > chemical stabilization phytoextraction alternative planting. However, when were taken into account, planting rendered much higher footprint comparison stabilization, provides evidence against emerging notion held by some policy makers. Furthermore, assuming loss rice paddy China compensated deforested Amazon rainforest, total impact would far action, resulting 687 ton CO2-e ha–1 climate change impact. Overall, study new research findings support more holistic making also sheds lights on future development various technologies.

Язык: Английский

Процитировано

89

Mapping soil pollution by using drone image recognition and machine learning at an arsenic-contaminated agricultural field DOI

Xiyue Jia,

Yining Cao, David O’Connor

и другие.

Environmental Pollution, Год журнала: 2020, Номер 270, С. 116281 - 116281

Опубликована: Дек. 15, 2020

Язык: Английский

Процитировано

86

Retrieving soil heavy metals concentrations based on GaoFen-5 hyperspectral satellite image at an opencast coal mine, Inner Mongolia, China DOI
Bo Zhang, Bin Guo, Bin Zou

и другие.

Environmental Pollution, Год журнала: 2022, Номер 300, С. 118981 - 118981

Опубликована: Фев. 9, 2022

Язык: Английский

Процитировано

68

Assessing toxic metal chromium in the soil in coal mining areas via proximal sensing: Prerequisites for land rehabilitation and sustainable development DOI
Jingzhe Wang, Xianjun Hu,

Tiezhu Shi

и другие.

Geoderma, Год журнала: 2021, Номер 405, С. 115399 - 115399

Опубликована: Авг. 25, 2021

Язык: Английский

Процитировано

60