Application of neural network on environmental impact assessment tools

2008 ◽  
Vol 1 (1/2) ◽  
pp. 100 ◽  
Author(s):  
Jianzhi Li ◽  
Zhenhua Wu ◽  
Hong Chao Zhang
Keyword(s):  
Neural Network ◽  
Environmental Impact ◽  
Impact Assessment ◽  
Environmental Impact Assessment ◽  
Assessment Tools

scholarly journals Non-Target Screening of Organic Compounds in Offshore Produced Water by GC×GC-MS

2020 ◽  
Author(s):  
Sofie Nitsche Bergfors ◽  
Anh Khoa Huynh Ho ◽  
Annette Eva Jensen ◽  
Jonas Sundberg
Keyword(s):  
Environmental Impact ◽  
Impact Assessment ◽  
Organic Compounds ◽  
Environmental Impact Assessment ◽  
Produced Water ◽  
Complex Mixture ◽  
Molecular Ions ◽  
Gas Production ◽  
Assessment Tools ◽  
Water Remediation

Produced water is the largest by-product of oil and gas production. At off-shore installations, the produced water is typically reinjected or discharged into the sea. The water contains a complex mixture of dispersed and dissolved oil, solids and inorganic ions. A better understanding of its composition is fundamental to 1) improve environmental impact assessment tools and 2) develop more efficient water treatment technologies. The objective of the study was to screen produced water sampled from a producing field in the Danish region of the North Sea to identify any containing organic compounds. The samples were taken at a test separator and represent an unfiltered picture of the composition before cleaning procedures. The analytes were isolated by liquid-liquid extraction and derivatized using a silylation reagent to increase the volatility of oxygenated compounds. The final extracts were analyzed by comprehensive multi-dimensional gas chromatography coupled to a high-resolution mass spectrometer. A non-target processing workflow was implemented to extract features and quantify the confidence of library matches by correlation to retention indices and the presence of molecular ions. Approximately 120 unique compounds were identified across nine samples. Of those, 15 were present in all samples. The main types of compounds are aliphatic and aromatic carboxylic acids with a small fraction of hydrocarbons. The findings have implications for developing improved environmental impact assessment tools and water remediation technologies.

scholarly journals Non-target screening of organic compounds in offshore produced water by GC×GC-MS

2021 ◽  
Vol 3 ◽  
pp. e11
Author(s):  
Sofie N. Bergfors ◽  
Khoa Huynh ◽  
Annette E. Jensen ◽  
Jonas Sundberg
Keyword(s):  
Environmental Impact ◽  
Impact Assessment ◽  
Organic Compounds ◽  
Environmental Impact Assessment ◽  
Produced Water ◽  
Complex Mixture ◽  
Molecular Ions ◽  
Gas Production ◽  
Assessment Tools ◽  
Water Remediation

Produced water is the largest by-product of oil and gas production. At off-shore installations, the produced water is typically reinjected or discharged into the sea. The water contains a complex mixture of dispersed and dissolved oil, solids and inorganic ions. A better understanding of its composition is fundamental to (1) improve environmental impact assessment tools and (2) develop more efficient water treatment technologies. The objective of the study was to screen produced water sampled from a producing field in the Danish region of the North Sea to identify any containing organic compounds. The samples were taken at a test separator and represent an unfiltered picture of the composition before cleaning procedures. The analytes were isolated by liquid-liquid extraction and derivatized using a silylation reagent to increase the volatility of oxygenated compounds. The final extracts were analyzed by comprehensive multi-dimensional gas chromatography coupled to a high-resolution mass spectrometer. A non-target processing workflow was implemented to extract features and quantify the confidence of library matches by correlation to retention indices and the presence of molecular ions. Approximately 120 unique compounds were identified across nine samples. Of those, 15 were present in all samples. The main types of compounds are aliphatic and aromatic carboxylic acids with a small fraction of hydrocarbons. The findings have implications for developing improved environmental impact assessment tools and water remediation technologies.

International Legal Obligations for Environmental Impact Assessment and Strategic Environmental Assessment in the Arctic Ocean

2016 ◽  
Vol 31 (1) ◽  
pp. 88-119 ◽  
Author(s):  
Gunnar Sander
Keyword(s):  
Environmental Impact ◽  
Impact Assessment ◽  
Arctic Ocean ◽  
Environmental Impact Assessment ◽  
Environmental Assessment ◽  
Strategic Environmental Assessment ◽  
Assessment Tools ◽  
The Arctic ◽  
New Instrument ◽  
The Arctic Ocean

Environmental impact assessment (eia) and strategic environmental assessment (sea) are procedures for the prior assessment of impacts of proposed developments before decisions are taken. Customary law and most international agreements relevant for the Arctic Ocean are unspecific about assessment tools and content. The Espoo Convention and its sea Protocol are the only specialised instruments available. They do not cover marine activities well, and not all the Arctic Ocean coastal states are parties. Other problems in the assessment regime are related to uneven geographical and sectoral coverage. Weaknesses may be addressed both globally in the negotiations on a new instrument under the Law of the Sea Convention (losc) on biodiversity beyond national jurisdiction, and in a regional process under the Arctic Council. Important improvements would be the creation of a more specific default mechanism for prior assessment of marine activities and closer linkage of assessments with substantive goals.

scholarly journals Environmental and ecological hydroinformatics to support the implementation of the European Water Framework Directive for river basin management

2006 ◽  
Vol 8 (4) ◽  
pp. 239-252 ◽  
Author(s):  
A. van Griensven ◽  
L. Breuer ◽  
M. Di Luzio ◽  
V. Vandenberghe ◽  
P. Goethals ◽  
...  
Keyword(s):  
Land Use ◽  
Environmental Impact ◽  
Impact Assessment ◽  
Water Framework Directive ◽  
River Basin ◽  
Environmental Impact Assessment ◽  
Assessment Tool ◽  
Assessment Tools ◽  
Digital Information ◽  
Basin Scale

Research and development in hydroinfomatics can play an important role in environmental impact assessment by integrating physically-based models, data-driven models and other Information and Communication Tools (ICT). An illustration is given in this paper describing the developments around the Soil and Water Assessment Tool (SWAT) to support the implementation of the EU Water Framework Directive. SWAT operates on the river basin scale and includes processes for the assessment of complex diffuse pollution; it is open-source software, which allows for site-specific modifications to the source and easy linkage to other hydroinformatics tools. A crucial step in the world-wide applicability of SWAT was the integration of the model into a GIS environment, allowing for a quick model set-up using digital information on terrain elevation, land use and management, soil properties and weather conditions. Model analysis tools can be integrated with SWAT to assist in the tedious tasks of model calibration, parameter optimisation, sensitivity and uncertainty analysis and allows better understanding of the model before addressing scientific and societal questions. Finally, further linkage of SWAT to ecological assessment tools, Land Use prediction tools and tools for Optimal Experimental Design shows that SWAT can play an important role in multi-disciplinary eco-environmental impact assessment studies.

Environmental Impact Assessment of the Energy Grass’s Life Cycle Based on the BP Neural Network

2011 ◽  
Vol 347-353 ◽  
pp. 2635-2639
Author(s):  
Zhen Lin Wei ◽  
Jing Han ◽  
Ya Hui Song
Keyword(s):  
Neural Network ◽  
Life Cycle ◽  
Environmental Impact ◽  
Impact Assessment ◽  
Ethanol Production ◽  
Environmental Impact Assessment ◽  
Bp Neural Network ◽  
Cellulosic Ethanol ◽  
Assessment Model ◽  
Atmospheric Pollutants

Facing the tense situation of the world's energy, it is particularly important to develop and utilize environmentally friendly, renewable energy grass specially prepared for cellulosic ethanol production. Therefore, the establishment of a whole process of energy grass life cycle assessment model of production of cellulosic ethanol is necessary. This paper gives an inventory analysis of the life cycle of the process that uses energy grass to produce cellulosic ethanol, according to the theory of life cycle; and then uses BP neural network to assess environmental impact of this process. Research results show that the BP neural network meets the requirements of this environmental impact assessment, atmospheric pollutants and water pollutants of energy grass of cellulosic ethanol production process have reached the level of standard.

scholarly journals Non-Target Screening of Organic Compounds in Offshore Produced Water by GC×GC-MS

2020 ◽  
Author(s):  
Sofie Nitsche Bergfors ◽  
Anh Khoa Huynh Ho ◽  
Annette Eva Jensen ◽  
Jonas Sundberg
Keyword(s):  
Environmental Impact ◽  
Impact Assessment ◽  
Organic Compounds ◽  
Environmental Impact Assessment ◽  
Produced Water ◽  
Complex Mixture ◽  
Molecular Ions ◽  
Gas Production ◽  
Assessment Tools ◽  
Water Remediation

Produced water is the largest by-product of oil and gas production. At off-shore installations, the produced water is typically reinjected or discharged into the sea. The water contains a complex mixture of dispersed and dissolved oil, solids and inorganic ions. A better understanding of its composition is fundamental to 1) improve environmental impact assessment tools and 2) develop more efficient water treatment technologies. The objective of the study was to screen produced water sampled from a producing field in the Danish region of the North Sea to identify any containing organic compounds. The samples were taken at a test separator and represent an unfiltered picture of the composition before cleaning procedures. The analytes were isolated by liquid-liquid extraction and derivatized using a silylation reagent to increase the volatility of oxygenated compounds. The final extracts were analyzed by comprehensive multi-dimensional gas chromatography coupled to a high-resolution mass spectrometer. A non-target processing workflow was implemented to extract features and quantify the confidence of library matches by correlation to retention indices and the presence of molecular ions. Approximately 120 unique compounds were identified across nine samples. Of those, 15 were present in all samples. The main types of compounds are aliphatic and aromatic carboxylic acids with a small fraction of hydrocarbons. The findings have implications for developing improved environmental impact assessment tools and water remediation technologies.

Sign in / Sign up

Export Citation Format

Share Document