Results 141 to 150 of about 807,314 (352)

Phytoplankton-Zooplankton Community Structure in Coal Mining Subsidence Lake. [PDF]

Int J Environ Res Public Health, 2022
Fan T, Amzil H, Fang W, Xu L, Lu A, Wang S, Wang X, Chen Y, Pan J, Wei X.   +9 more
europepmc   +1 more source

Mechanism and disaster control new technology of strong ground pressure manifestation in ultra‐large mining face

Deep Underground Science and Engineering, EarlyView.
In response to the problem of strong mining pressure manifestation along the goaf roadway in a thick coal seam mining area, this study uses a new type of combined blasting roof cutting technology to effectively control the manifestation and deformation of mining pressure along the goaf roadway.
Xiaoding Xu, Manchao He, Jun Yang, Yubing Gao, Qiang Fu, Qing Ma, Yajun Wang   +6 more
wiley   +1 more source

Revisiting the underground gasification of coal reserves from contiguous seams [PDF]

, 2016
Purpose. Substantiating of contiguous coal seams coefficient during application of borehole underground coal gasification technology based on dependences of interstratial rocks subsidence on gasification duration. Methodology.
Dychkovskyi, R.O, Lozynskyi, V.H, Malanchuk, Ye.Z, Malanchuk, Z.R, Saik, P.B   +4 more
core  

PondNet – towards a global network of experiments on the effects of climate change on aquatic ecosystems

Ecography, EarlyView.
Global change is reshaping the distribution of biodiversity and the functioning of ecosystems. Predicting the long‐term consequences of such changes remains a challenge due to a need for a clear understanding of the mechanisms underpinning ecosystem‐level responses, as well as the role of geographical and environmental contingencies.
Miguel G. Matias, Dominique Gravel, Jonathan M. Chase, Carla Pinto‐ Cruz, David García‐ Callejas, M. Thomas P. Gilbert, Mathew A. Leibold, Dora Neto, Cátia L. Pereira, Carlos Ramos, Pedro M. Raposeiro, Alejandro Rozenfeld, Katarzyna Sroczynska, David R. Vieites, Guy Woodward, Miguel B. Araújo   +15 more
wiley   +1 more source

Effects of coal-derived compound fertilizers on soil bacterial community structure in coal mining subsidence areas. [PDF]

Front Microbiol, 2023
Meng H, Wang S, Zhang J, Wang X, Qiu C, Hong J.   +5 more
europepmc   +1 more source

User guide for the BGS Methane and Carbon Dioxide from Natural Sources and Coal Mining Dataset for Great Britain [PDF]

, 2011
This report presents a description and review of the methodology developed by the British Geological Survey (BGS) to produce an assessment of the potential hazard from Methane and Carbon Dioxide from Natural Sources and Coal Mining in Great Britain.
Appleton, J.D.
core  

Coherence Between Climate and Land Use Polices of the European Union, Brazil, and Indonesia: A Primer to Analyze Potential GHG Leakage

Environmental Policy and Governance, EarlyView.
ABSTRACT Incoherence between national land use policies may weaken climate mitigation efforts by creating conditions under which agricultural and forestry production and GHG emissions are displaced across borders (leakage). Coherence depends on constellations and prioritization of national policy aims in land use (production) and climate (conservation).
Heiner von Lüpke, Claudia Azevedo‐Ramos, Dwi Laraswati, Ahmad Maryudi, Christina Ayu, Nilo Wijaya, Rio Sopaheluwakan, Daniel Kübler, Richard Fischer   +8 more
wiley   +1 more source

Research on surface subsidence laws and prediction models under repeated mining of multiple coal seams

Scientific Reports
With the gradual extension of global coal mining to the deep, the problem of surface subsidence caused by repeated mining of multiple coal seams has attracted much attention.
Shuai Guo, Shouyuan Qiu, Dongjie Zhang, Wenxiang Zheng   +3 more
doaj   +1 more source

Karst, GIS and geological hazard planning and management in Great Britain [PDF]

, 2010
The British Geological Survey (BGS) database of karst features for the United Kingdom include dolines, cave entrances, stream sinks, resurgences and building damage; data for approximately half of the country has so far been gathered.
Cooper, A.H., Farrant, A.R., Price, S.J.
core  

Research on Deformation Prediction of Small Interval Tunnel Based on Machine Learning and Numerical Simulation

Energy Science &Engineering, EarlyView.
This study leverages machine learning algorithms—specifically artificial neural networks (ANN) and genetic programming (GP)—to forecast and analyze variations in vault settlement measurements during excavation of small interval tunnel. A settlement prediction model was developed and validated through comparative analysis with regression to evaluate the
Wenjie Zhai, Jia Xue, Yongjie Fu, Beichen Yu, Yan Zhu, Man Yuan, Mingbo Chi, Zhentao Li   +7 more
wiley   +1 more source