Search results: 390,553 results (approx.)

1. Transient migration behavior of VOC vapor in layered unsaturated soils subjected to multiple time-dependent point pollution sources: analytical study.

Predicting the migration behavior of volatile organic compounds (VOCs) vapor is essential for the remediation of subsurface contamination such as soil vapor extraction. Previous analytical prediction models of VOCs migration are mostly limited to constant-concentration nonpoint sources in...

Author(s) : Ding XiangHong; Feng ShiJin; Zheng QiTeng; Peng ChunHui; Zhu ZhangWen; Yang ChunBaiXue

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Science of the Total Environment 2022 Vol.806 No.Part 1 ref.48

2. Spatial variability of soil quality within management zones: homogeneity and purity of delineated zones.

Fields are the original management zones used in agricultural ecosystems. Uniformity of soil within management zones (MZ) is crucial for sustainable soil management, long-term productivity, and avoiding environmental problems. When considering a new area for agricultural expansion or for improving...

Author(s) : Zeraatpisheh, M.; Bottega, E. L.; Bakhshandeh, E.; Owliaie, H. R.; Taghizadeh-Mehrjardi, R.; Kerry, R.; Scholten, T.; Xu Ming

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Catena 2022 Vol.209 No.Part 1 ref.56

3. Hierarchical prediction of soil water content time series.

Quantifying the spatial and temporal dynamics of soil moisture is an important subject in vadose zone hydrology. A 1282-day field study was conducted to provide a hierarchy of data to assess neural network simulations of field soil water content time series θ(t). Volumetric water content was...

Author(s) : Leij, F. J.; Dane, J. H.; Sciortino, A.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Catena 2022 Vol.209 No.Part 2 ref.39

4. Calibration and error investigation of large tipping bucket flow meters.

Inherent errors in tipping bucket flow meters may limit monitoring data reliability. In this work, we perform the static and dynamic calibration of four large tipping buckets, apply different regression curves and investigate the possible measurement error sources. The volumetric capacity (static...

Author(s) : Schwamback, D.; Anache, J. A. A.; Wendland, E. C.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Catena 2022 Vol.209 No.Part 2 ref.58

5. Estimation of soil depth in the Liukuei Experimental Forest by using conceptual model.

The spatial distribution of soil depth is the key information of watershed planning and design, and also one of the factors that determine the classification of slope utilization. The depth of soil on hillside requires on-site survey, which is labor-intensive. In addition, there are real challenges ...

Author(s) : Wu ShaoWei; Lin ChaoYuan; Sun MingYuan; Lu ShiangYue

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Catena 2022 Vol.209 No.Part 2 ref.38

6. An optimized method for extracting slope length in RUSLE from raster digital elevation.

The Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE) have been widely used for predicting average soil loss. Slope length is an important topographical parameter of the L factor in USLE/RUSLE. Among the widely studied GIS procedures for extracting slope...

Author(s) : Dong Liang; Ge ChenYu; Zhang HongMing; Liu ZiHan; Yang QinKe; Jin Bei; Ritsema, C. J.; Geissen, V.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Catena 2022 Vol.209 No.Part 2 ref.53

7. Clay content mapping and uncertainty estimation using weighted model averaging.

Accurate prediction of clay is the basis for soil quality assessment and decision making in land use because it governs soil moisture and fertility dynamics. However, using laboratory methods to determine clay across a large district and at multiple depths is tedious and expensive. An alternative...

Author(s) : Zhao DongXue; Wang Jie; Zhao XueYu; Triantafilis, J.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Catena 2022 Vol.209 No.Part 2 ref.72

8. A novel multi-layer prediction approach for sweetness evaluation based on systematic machine learning modeling.

Nowadays, computational approaches have drawn more and more attention when exploring the relationship between sweetness and chemical structure instead of traditional experimental tests. In this work, we proposed a novel multi-layer sweetness evaluation system based on machine learning methods. It...

Author(s) : Yang ZhengFei; Xiao Ran; Xiong GuoLi; Lin QinLu; Liang Ying; Zeng WenBin; Dong Jie; Cao DongSheng

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Food Chemistry 2022 Vol.372 ref.40

9. Application of random forest for modeling batch and continuous fixed-bed removal of crystal violet from aqueous solutions using gypsophila aretioides stem-based biosorbent.

In this work, the Gypsophila aretioides (GYP-A) stem is used as a biosorbent to remove crystal violet (CV) by the static and dynamic systems from aqueous solutions; the biosorbent is interesting in green chemistry and, on the other hand, cheaper than activated carbon and does not have the...

Author(s) : Mehmandost, N.; Goudarzi, N.; Arab Chamjangali, M.; Bagherian, G.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2022 Vol.265 ref.91

10. Anaerobic co-digestion of various organic wastes: kinetic modeling and synergistic impact evaluation.

Anaerobic mono- and co-digestion of coffee pulp (CP), cattle manure (CM), food waste (FW) and dewatered sewage sludge (DSS), were assessed using biochemical methane potential tests. The effects of two different inocula, anaerobically digested cattle manure (ADCM) and anaerobically digested waste...

Author(s) : Karki, R.; Chuenchart, W.; Surendra, K. C.; Sung ShihWu; Raskin, L.; Khanal, S. K.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Bioresource Technology 2022 Vol.343 ref.35

11. Machine learning modeling and analysis of biohydrogen production from wastewater by dark fermentation process.

Dark fermentation process for simultaneous wastewater treatment and H2 production is gaining attention. This study aimed to use machine learning (ML) procedures to model and analyze H2 production from wastewater during dark fermentation. Different ML procedures were assessed based on the mean...

Author(s) : Hosseinzadeh, A.; Zhou, J. L.; Altaee, A.; Li DongHao

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Bioresource Technology 2022 Vol.343 ref.50

12. Estimating historic N- and S-deposition with publicly available data - an example from Central Germany.

The deposition of reactive nitrogen and sulphur has profound effects on ecosystem functioning. In the last decades, monitoring networks providing high resolution spatio-temporal deposition estimates have been set up, but equivalent information on historic deposition is mostly missing. However,...

Author(s) : Costa, D. S.; Otto, J.; Chmara, I.; Bernhardt-Römermann, M.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Environmental Pollution 2022 Vol.292 No.Part B ref.59

13. Integration of genomics with crop modeling for predicting rice days to flowering: a multi-model analysis.

The ability of crop models to decompose complex traits and integrate the underlying processes enables them to capture genotype-environment interactions in diverse environments. Integrating genomics with biophysical crop models represents a potential breakthrough technology for improving our...

Author(s) : Yang YuBin; Wilson, L. T.; Li Tao; Paleari, L.; Confalonieri, R.; Zhu Yan; Tang Liang; Qiu XiaoLei; Tao FuLu; Chen Yi; Hoogenboom, G.; Boote, K. J.; Gao YuJing; Onogi, A.; Nakagawa, H.; Yoshida, H.; Yabe, S.; Dingkuhn, M.; Hasegawa, T.; Wang Jing

Publisher : Elsevier B.V., Amsterdam, Netherlands

Journal article : Field Crops Research 2022 Vol.276

14. Missing data imputation and sensor self-validation towards a sustainable operation of wastewater treatment plants via deep variational residual autoencoders.

Missing data imputation and automatic fault detection of wastewater treatment plant (WWTP) sensors are crucial for energy conservation and environmental protection. Given the dynamic and non-linear characteristics of WWTP measurements, the conventional diagnosis models are inefficient and ignore...

Author(s) : Ba-Alawi, A. H.; Loy-Benitez, J.; Kim SangYun; Yoo ChangKyoo

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Chemosphere 2022 Vol.288 No.Part 3 ref.50

15. Discriminability and uncertainty in principal component analysis (PCA) of temporal check-all-that-apply (TCATA) data.

Temporal check-all-that-apply (TCATA) data can be summarized and explored using principal component analysis (PCA). Here we analyze TCATA data on Syrah wines obtained from a trained sensory panel. We evaluate new and existing methods to explore the uncertainty in the PCA scores. To do so, we use...

Author(s) : Castura, J. C.; Rutledge, D. N.; Ross, C. F.; Næs, T.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Food Quality and Preference 2022 Vol.96 ref.32

16. Identification of sources with abnormal radon exhalation rates based on radon concentrations in underground environments.

When there is poor ventilation or an irregular radon exhalation rate in an underground environment, it is necessary to judge whether the radon concentration is abnormal. To protect personal safety and health from radon gas, it is necessary to track the location of an abnormal radon source and...

Author(s) : Huang De; Liu Yong; Liu YongHong; Song Ying; Hong ChangShou; Li XiangYang

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Science of the Total Environment 2022 Vol.807 No.Part 2 ref.29

17. Forecasting greenhouse gas emissions with the new information priority generalized accumulative grey model.

Air pollution and other environmental problems caused by excessive emissions of greenhouse gases have become a comprehensive problem requiring joint global treatment. To consider the characteristics of different regions and different countries in terms of greenhouse gas emissions for accurate...

Author(s) : Li KaiLing; Xiong PingPing; Wu YuRui; Dong Yan

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Science of the Total Environment 2022 Vol.807 No.Part 2 ref.40

18. Determination of discharge distribution in meandering compound channels using machine learning techniques.

Accurate flow rate prediction is essential to analyze flood control, sediment transport, riverbank protection, and so forth. The flow rate distribution becomes even more complicated in compound channels due to the momentum transfer between different subsections across the width of the channel....

Author(s) : Mohanta, A.; Pradhan, A.; Patra, K. C.

Publisher : American Society of Civil Engineers (ASCE), Reston, USA

Journal article : Journal of Irrigation and Drainage Engineering 2022 Vol.148 No.1 ref.45

19. Scour downstream of a piano key weir with and without a solid apron.

Piano Key Weirs (PKWs) are often preferred over other spillways for the dam rehabilitation due to high discharging capacity. The present study investigates scour downstream of three cycles of PKWs with and without solid apron under both free and submerged flow conditions. The scour formations...

Author(s) : Binit Kumar; Zulfequar Ahmad

Publisher : American Society of Civil Engineers (ASCE), Reston, USA

Journal article : Journal of Irrigation and Drainage Engineering 2022 Vol.148 No.1 ref.47

20. An efficient neural network model for aiding the coagulation process of water treatment plants.

In a water treatment plant, the decision to carry out a jar test, for determining the required coagulant dosage, is made based on notable changes in treated water qualities such as treated water turbidity and color, which is essentially a reactive response to changes in water qualities. In...

Author(s) : Chamanthi Denisha Jayaweera; Norashid Aziz

Publisher : Springer, Dordrecht, Netherlands

Journal article : Environment, Development and Sustainability 2022 Vol.24 No.1 pp.1069-1085 ref.42

21. Current understanding and optimization strategies for efficient lignin-enzyme interaction: a review.

From energy perspective, with abundant polysaccharides (45-85%), the renewable lignocellulosic is recognized as the 2nd generation feedstock for bioethanol and bio-based products production. Enzymatic hydrolysis is a critical pathway to yield fermentable monosaccharides from pretreated substrates...

Author(s) : Li MoHan; Jiang Bo; Wu WenJuan; Wu ShuFang; Yang YiQin; Song JunLong; Ahmad, M.; Jin YongCan

Publisher : Elsevier Ltd, Oxford, UK

Journal article : International Journal of Biological Macromolecules 2022 Vol.195 pp.274-286 ref.169

22. Optimization of anti-corrosion performance of novel magnetic polyaniline-Chitosan nanocomposite decorated with silver nanoparticles on Al in simulated acidizing environment using RSM.

The suitability of newly synthesized magnetic polyaniline-Chitosan nanocomposite decorated with silver nanoparticles (Ag@PANI-CS-Fe3O4) as a robust corrosion inhibitor for Aluminum (Al) in a 5 M HCl environment has been investigated via Weight Loss (WL), Alternating Current (AC)-Impedance...

Author(s) : Narasimha Raghavendra; Mahesh, R. T.; Mahanthesh, B.; Mackolil, J.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : International Journal of Biological Macromolecules 2022 Vol.195 pp.329-345 ref.80

23. Ensemble system for short term carbon dioxide emissions forecasting based on multi-objective tangent search algorithm.

Carbon emissions play a crucial role in inducing global warming and climate change. Accurate and stable carbon emissions forecasting is beneficial for formulating emissions reduction schemes and achieving carbon neutrality as early as possible. Although previous studies have concentrated on...

Author(s) : Liu ZhenKun; Jiang Ping; Wang JianZhou; Zhang LiFang

Publisher : Elsevier, Amsterdam, Netherlands

Journal article : Journal of Environmental Management 2022 Vol.302 No.Part A

24. Incorporating local researchers' and decision makers' preferences for groundwater resources management in a spatial multi-voiced decision model.

Water is a crucial and highly sensitive political issue. The overexploitation of groundwater resources and deterioration of water quality caused by pollution as well as the deficiencies of the existing infrastructure require immediate attention. The main goal of this paper is to carry out a...

Author(s) : Lima, M. L.; Barilari, A.; Massone, H. E.; Pascual, M.

Publisher : Elsevier, Amsterdam, Netherlands

Journal article : Journal of Environmental Management 2022 Vol.302 No.Part A ref.48

25. Private land conservation decision-making: an integrative social science model.

Owners and managers of private lands make decisions that have implications well beyond the boundaries of their land, influencing species conservation, water quality, wildfire risk, and other environmental outcomes with important societal and ecological consequences. Understanding how these...

Author(s) : Epanchin-Niell, R. S.; Jackson-Smith, D. B.; Wilson, R. S.; Ashenfarb, M.; Dayer, A. A.; Hillis, V.; Iacona, G. D.; Markowitz, E. M.; Marquart-Pyatt, S. T.; Treakle, T.

Publisher : Elsevier, Amsterdam, Netherlands

Journal article : Journal of Environmental Management 2022 Vol.302 No.Part A ref.177