Article
Biophysics
Lei Zhang, Miao Ge, Wenjie Yang, Jing Wang
Summary: By using spatial autocorrelation, ridge regression analysis, and principal component analysis, the geographic distribution of fibrinogen degradation product (FDP) reference values in healthy adults in different regions of China was studied. The results showed a trend of regional differences in FDP reference values, with values decreasing from north to south.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2021)
Article
Environmental Sciences
Kim Yung Fung, Ho Man Leung, Ken Kin Lam Yung
Summary: The research found significant differences in pH and PAHs in the soil before and after afforestation program implementation. Principal Component Analysis identified pH, EC, and PAHs as the key components influencing soil quality variations in the studied sites. The study emphasizes the importance of rigorous monitoring of soil quality to assess the impact of afforestation programs on forest health and suggests implementing appropriate forest preservation programs for sustainability in rural areas.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Geosciences, Multidisciplinary
Fangfang Li, Xinsheng Zhang, Ye Zhao, Mengjie Song, Jia Liang
Summary: The expansion of the urban-rural fringe has had a severe impact on soil quality, particularly valuable arable land resources. This study compared the soil quality of reclaimed land in the URF to nearby grain fields, open-air vegetable plots, and facility vegetable plots. The results showed that the reclaimed land had lower soil quality and needed proper fertilization for improvement.
Article
Multidisciplinary Sciences
Kamila Zdybal, Elizabeth Armstrong, James C. Sutherland, Alessandro Parente
Summary: Reduced-order modeling is a method to describe complex systems with high state-space dimensionality using a small number of parameters. This paper presents a quantitative metric for characterizing the quality of manifold topologies. The metric considers non-uniqueness and spatial gradients in physical quantities of interest, and can be used in optimization algorithms to find optimized low-dimensional projections.
SCIENTIFIC REPORTS
(2022)
Article
Biodiversity Conservation
Siyami Karaca, Orhan Dengiz, Inci Demirag Turan, Baris Ozkan, Mert Dedeoglu, Fusun Gulser, Bulut Sargin, Salih Demirkaya, Abdurahman Ay
Summary: The development of soil quality index in the vicinity of the Van Lake pasture lands located in the Northern East Part of Turkey is crucial for assessing the sustainability of the semi-arid terrestrial ecosystem. By sampling 150 soils and quantifying various indicators, a soil quality index integrated with remote sensing and geographical information system was developed. The study found a parallel trend between the calculated SQIs using different data set approaches in the pasture area, with a significant statistical relationship between TDSSQI/MDSSQI and REOSAVI in May and June.
ECOLOGICAL INDICATORS
(2021)
Article
Biodiversity Conservation
Santanu Mallik, Umesh Mishra, Niladri Paul
Summary: Utilizing fuzzy logic and GIS platform, this study aimed to analyze groundwater suitability and quality, revealing that the groundwater in the study area is predominantly acidic with elevated levels of iron and nitrate. The results showed 24.6% unsuitable, 28.6% moderately suitable, and 46.7% suitable areas in terms of groundwater suitability.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Sciences
Shengyong Zhang, Yunhao Chen, Yudong Li, Xing Yi, Jiansheng Wu
Summary: This paper explores the spatial and temporal distribution characteristics of air quality in China based on 2016 monitoring data. The results show that most areas in China have poor air quality, with the northern region being the worst. The main pollutants affecting air quality are PM2.5, PM10, and CO.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Green & Sustainable Science & Technology
Tavjot Kaur, Simerpreet Kaur Sehgal, Satnam Singh, Sandeep Sharma, Salwinder Singh Dhaliwal, Vivek Sharma
Summary: This study investigated the seasonal effects of five different land use systems on soil quality in the lower Satluj basin of India. It found that forests had the highest impact on soil organic carbon and nutrient content, while sugarcane had the lowest impact. The surface soil layer had higher organic carbon and nutrient content, and seasonal variations significantly affected soil quality.
Article
Agronomy
Ashwathappa Tejashvini, Chickadibburahalli Thimmappa Subbarayappa, Venkataramanappa Ramamurthy, Ramasamy Srinivasan
Summary: Soil quality degradation due to climate change is a growing concern in semi-arid regions of India. Assessing soil quality is crucial for understanding the impact of urbanization on soil. A study conducted in Bangalore used various indicators to determine the current status of soil quality and found that dehydrogenase activity, pH, available potassium, and electrical conductivity were key factors. The soil quality index was found to be highest in rural areas, moderate in peri-urban areas, and lowest in urban areas. This research highlights the importance of evaluating soil quality for sustainable agriculture practices.
COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS
(2023)
Article
Geosciences, Multidisciplinary
Emma Hayes, Suzanne Higgins, Josie Geris, Gillian Nicholl, Donal Mullan
Summary: This study developed and evaluated a weighted risk assessment model to improve the classification of phosphorus transfer risk at a sub-field scale. Results showed that traditional bulked sampling failed to consider the spatial variability of soil phosphorus content at the subfield scale, while higher intensity gridded sampling and interpolation revealed wide in-field variability, aiding in the characterization of risk for nutrient losses to waterways.
Article
Geochemistry & Geophysics
Victor de Bronac de Vazelhes, G. Beaudoin, I. McMartin, O. Cote-Mantha, N. Boulianne-Verschelden
Summary: The nature and thickness of glacial sediments in the Amaruq gold deposit area in northern Canada impact the characteristics of mineralized dispersal trains. Principal Component Analysis identified a signature of gold mineralization associating various elements, similar to other lode gold geochemical signatures. This signature follows a NNW dispersal trend and aligns with regional and local ice-flow indicators.
JOURNAL OF GEOCHEMICAL EXPLORATION
(2021)
Article
Agriculture, Multidisciplinary
Gustavo Willam Pereira, Domingos Sarvio Magalhaes Valente, Daniel Marcal de Queiroz, Nerilson Terra Santos, Elpidio Inacio Fernandes-Filho
Summary: Kriging is the optimal interpolator for precision agriculture, but it requires a high number of sampling points for accurate map generation. Machine learning techniques have shown potential in generating maps with fewer sampling points. In this study, a Support Vector Machine (SVM) algorithm was implemented and compared to IDW and Ordinary Kriging (OK). Results showed that OK outperformed IDW and the ML method when Moran's I values were significant and higher than 0.67. However, the ML method performed better than IDW and OK in situations with low density of points and low degrees of spatial autocorrelation.
PRECISION AGRICULTURE
(2022)
Article
Chemistry, Applied
Suprio Ghosh, Shengrui Zhang, Muhammad Azam, Jie Qi, Ahmed M. Abdelghany, Abdulwahab S. Shaibu, Berhane S. Gebregziabher, Yue Feng, Yuanyuan Huai, Honey Thet Paing Htway, Kwadwo Gyapong Agyenim-Boateng, Yitian Liu, Huoyi Feng, Jing Li, Wenwen Song, Bin Li, Junming Sun
Summary: This study examined the tocopherol compositions of 1151 Chinese soybean accessions from different ecoregions, showing significant variations in tocopherol contents among cultivars and landraces. Tocopherols were found to be significantly correlated with other seed quality traits, with alpha- and gamma-tocopherols showing positive associations with latitude and longitude, while delta-tocopherol exhibited a contrary trend. New soybean accessions were identified for potential use in food industries and breeding programs to enhance tocopherol contents in soybean seeds.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2021)
Article
Environmental Sciences
Ruitao Jia, Jin Wu, Yongxiang Zhang, Zhuoran Luo
Summary: The purpose of this study is to find a quantitative method to screen ideal monitoring locations and evaluate the efficiency of the monitoring network. Hydrogeological information, monitoring density, and monitoring location were used to select suitable sites for monitoring groundwater quality and identifying pollution sources. The efficiency of the monitoring network was evaluated using information entropy and principal component analysis, and the optimized network consisted of 10 monitoring wells.
ENVIRONMENTAL RESEARCH
(2022)
Article
Environmental Studies
Fengkui Qian, Yuanjun Yu, Xiuru Dong, Hanlong Gu
Summary: Soil quality is closely related to food security and human survival and development. In recent years, the quality of topsoil in Tieling County, northeast China, has deteriorated due to urbanization and abandoned land. A minimum data set (MDS) was constructed through principal component analysis (PCA) to evaluate topsoil quality, and a soil quality index (SQI) was calculated to analyze its spatial distribution characteristics and influencing factors. The MDS included indicators such as total potassium, clay, zinc, soil organic matter, soil water content, cation exchange capacity, pH, and copper. The evaluation results showed a trend of low soil quality in the east and high quality in the west, gradually increasing from hilly to plain areas. The proportion of Grade-II and grade-III soil quality was the largest, while grade-V was the smallest. These findings can serve as a reference for future topsoil quality evaluations and provide a basis for soil quality improvement measures.
Article
Green & Sustainable Science & Technology
Sen Zhang, Xia Lu, Yuanzhi Zhang, Gege Nie, Yurong Li
Article
Environmental Sciences
Xia Lu, Yuanzhi Zhang, Sen Zhang, Yurong Li
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2019)
Article
Environmental Sciences
Xia Lu, Sen Zhang, Yanqin Tian, Yurong Li, Rui Wen, JinYau Tsou, Yuanzhi Zhang
Article
Geosciences, Multidisciplinary
Sen Zhang, Jia Tian, Xia Lu, Qingjiu Tian
Summary: In this study, the dynamic changes of soil organic carbon (SOC) content in coastal wetlands over the past 23 years were investigated in the third core area of the Dafeng Elk Nature Reserve in Jiangsu Province, China. By using Landsat images, a normalized difference soil spectral index (NDSOC) and six auxiliary environmental variables related to SOC were constructed and extracted. The inversion model for coastal wetland soil surface SOC was constructed using multiple linear regression, support vector machine, and particle swarm optimization-based random forest regression (PSO-RFR). The results showed that the NDSOC index, NDVI, soil clay content, surface temperature, and soil salinity were strongly linked to SOC content in coastal wetlands.