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Environmental Sciences & Ecology
Environmental Sciences & Ecology
Paper Review Records
All Paper Review Records
20 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
161
days
Nonlinear gas flow behavior at high Reynolds numbers through rough-walled shear and tensile fractures subjected to normal compressive loading
Authors
Xiaopeng Su; Lei Zhou; Ye Zhang; Junchao Chen; Wen Nie; Xu WeiShow moreShow less
Affiliations
School of Civil Engineering, Chongqing Jiaotong University, Chongqing, 400074, China; National and Local Joint Engineering Research Center of Shale Gas Exploration and Development, Chongqing Institute of Geology and Mineral Resources, Chongqing, 401120, China; State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing, 400044, China; School of Emergency Science, Xihua University, Chengdu, 610039, China; State key Laboratory of Metal Mining Safety and Disaster Prevention and Control, Maanshan, Anhui, 243000, ChinaShow moreShow less
77
days
Predicting porous media permeability tensors with machine learning using correlation functions as structural descriptors
Authors
Maryam Ashkpoor; Efim V. Lavrukhin; Nickolay M. Evstigneev; Marina V. Karsanina; Kirill D. Tolstygin; Arash Khosravi; Nikolay D. Kondratyuk; Reza Azin; Kirill M. GerkeShow moreShow less
Affiliations
Energy Transition and Sustainability Centre, Faculty of Petroleum, Gas, and Petrochemical Engineering, Persian Gulf University, Bushehr, Iran; Center for Computational Physics, Landau School of Physics and Research, Moscow Institute of Physics and Technology, Dolgoprudny, 141701, Moscow Region, Russia; Schmidt Institute of Physics of the Earth of Russian Academy of Sciences, Moscow, 107031, Russia; Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Moscow, 117997, Russia; Dokuchaev Soil Science Institute, Moscow, 119017, Russia; Soil Science Faculty, Lomonosov Moscow State University, Leninskie Gory, 1, Moscow, 119234, Russia; Department of Chemical Engineering, Faculty of Petroleum, Gas, and Petrochemical Engineering, Persian Gulf University, Bushehr, Iran; Department of Petroleum Engineering, Faculty of Petroleum, Gas, and Petrochemical Engineering, Persian Gulf University, Bushehr, Iran; Hydrocarbon Resources, Energy and Sustainability Research Group, Oil and Gas Research Center, Bushehr, IranShow moreShow less
69
days
Data challenges in large-scale transient groundwater modeling using machine learning
Authors
Yueling Ma; Danielle Tijerina-Kreuzer; Amy Defnet; Andrew Bennett; Peter Melchior; Laura E Condon; Reed M MaxwellShow moreShow less
Affiliations
Princeton University, High Meadows Environmental Institute, Princeton, NJ, USA; Princeton University, Integrated GroundWater Modeling Center, Princeton, NJ, USA; Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI), Arlington, MA, USA; Princeton University, Princeton Research Computing, Princeton, NJ, USA; University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, USA; Princeton University, Department of Astrophysical Sciences, Princeton, NJ, USA; Princeton University, Center for Statistics and Machine Learning, Princeton, NJ, USA; Princeton University, Department of Civil and Environmental Engineering, Princeton, NJ, USAShow moreShow less
75
days
Reconstructing contaminant plume dynamics from sparse well data using Dynamic Mode Decomposition: Effects of sampling density and support scale
Authors
Giulia Libero; Alessandra Bonazzi; Felipe P.J. de BarrosShow moreShow less
Affiliations
Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Bologna, Italy; Department of Civil Engineering and Construction Engineering Management, California State University, Long Beach, USA; Sonny Astani Department of Civil Engineering and Environmental Engineering, University of Southern California, Los Angeles, USAShow moreShow less
140
days
Storm surge-driven salinization mechanisms in coastal aquifers: Insights from 2D and 3D modelling in southwestern Bangladesh
Authors
ChiSan Tsai; Sean E. Feist; Mohammad A. Hoque; Kazi Matin Ahmed; Adrian P. ButlerShow moreShow less
Affiliations
Department of Environment Systems, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan; School of the Environment and Life Sciences (SELS), University of Portsmouth, Portsmouth, United Kingdom; Department of Geology, University of Dhaka, Dhaka, Bangladesh; Department of Civil and Environmental Engineering, Imperial College London, London, United KingdomShow moreShow less
167
days
Machine learning enhanced data assimilation framework for multi-scale carbonate rock characterization
Authors
Zhenkai Bo; Ahmed H. Elsheikh; Hannah P. Menke; Julien Maes; Sebastian Geiger; Muhammad Z. Kashim; Zainol A.A. Bakar; Kamaljit SinghShow moreShow less
Affiliations
Institute of GeoEnergy Engineering, Heriot-Watt University, Edinburgh, EH14 4AS, United Kingdom; Department of Geoscience & Engineering, Technical University of Delft, Delft, The Netherlands; PETRONAS Research Sdn Bhd, Bangi, Selangor, MalaysiaShow moreShow less
Expert Matching · Case Demo
Turn Your Submission Goalsinto a Verifiable Journal Plan
Share your field, deadline, and author profile. CrushSCI uses real review records to suggest a title direction, shortlist journals, and estimate timelines.
Client
I work in environmental engineering and need an SCI paper published within three months. I have no grant funding or prominent co-author. Which journals could I target?
CrushSCI
Yes. We will first screen for feasibility against the 90-day deadline, then identify comparable papers without grant support or prominent co-authors. The final shortlist will prioritize research quality and journal scope.
- Suggested title
- Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment
- Database shortlist
- Environmental Technology & Innovation
SampleLatest 5 valid paper samples from 2026
Average review62 days
Median65 days