http://stdjsee.scienceandtechnology.com.vn/index.php/stdjsee/issue/feed VNUHCM Journal of Earth Science and Environment 2023-01-15T12:02:57+00:00 Prof. Le Thanh Hai, PhD. pvphuc@vnuhcm.edu.vn Open Journal Systems http://stdjsee.scienceandtechnology.com.vn/index.php/stdjsee/article/view/701 Coastal adaptability to the risk of environmental incidents from the mainland – A case study in the Southeast coastal area 2022-08-25T20:58:52+00:00 Cuong Tan Le letancuongmt@yahoo.com Phuoc Van Nguyen nvphuoc196@gmail.com Huyen Thi Thu DO thuhuyen@hcmier.edu.vn Loan Thi Diem Tran khanhtuongdat@gmail.com Quan Hong Nguyen hongquanmt@yahoo.com <p>The coastal area has been facing many negative impacts from the development process, containing many risks of environmental incidents from the continent affecting the ecological environment and the livelihoods of millions of coastal residents people. Therefore, how to increase the adaptability of the coastal area, contribute to limiting risks and reduce damage when environmental incidents occur is a trend of interest to scientists. This study was conducted to assess and zone the adaptability of the Southeast coastal region due to the risk of environmental incidents from the mainland, the most dynamic development region in Vietnam, based on a multi-criteria analysis tool with selected criteria weighted fit, combined with GIS methods. The research results have proposed a set of criteria for assessing the adaptability of coastal areas, with five selected criteria: Income, Education, Health, Mangrove Forest, and Environmental Incident Response. Calculation and assessment of adaptability for 27 coastal sub-regions in the Southeast and classified into 04 groups of adaptation classes: Very high, high, medium and low, accounting for 18.52%; 7.41%; 51.85% and 22.22%, respectively, and propose solutions to increase adaptability for sub-regions with low and medium adaptability. In addition, the research results also contribute to supporting relevant research works and decision-makers to ensure sustainable use of resources and protect the environment, contributing to the sustainable development of coastal areas.</p> 2022-08-20T00:00:00+00:00 ##submission.copyrightStatement## http://stdjsee.scienceandtechnology.com.vn/index.php/stdjsee/article/view/692 Identifying the coal seams and their sedimentary environments in the Nui Beo mine, Quang Ninh province using K-means and regression methods 2023-01-02T04:36:04+00:00 http://stdjsee.scienceandtechnology.com.vn/public/journals/2/article_692_cover_en_US.png Khuong The Hung khuongthehung@humg.edu.vn Nguyen Danh Tuyen tuyenvbg@gmail.com <p>The Nui Beo mine is located in the southern part of the Quang Ninh province. It belongs to the Hon Gai-Cam Pha coal zone, where many coal resources have been estimated in Vietnam. Based on synthesizing and processing data of the coal seam parameters and coal quality by using K-means and regression methods, results allow dividing the Nui Beo mine into three areas, the area 1 bearing coal thickness greater than or equal to 18.5m, the area 2 containing coal thickness less than 18.5m, and coal seam dipping angle less than 32.0 degrees; and the area 3 obtaining coal thickness less than 18.5m, and coal seam dipping angle greater than or equal to 32.0 degrees, combining with five interlayers as the scared boundary. Identifying results using K-means and regression methods for 2 or 3 coal seam parameters is very low; only coal seams of V4, V12, and V14 are higher (over 50%). After dividing the mining area, the identifying rate is higher, especially the coal seams of V5, V7, V11, V12, and V14 reach 30.38% on average compared to 16.83% for the whole mining area. Identifying coal seams based on six analyzed parameters shows 16.64% on average; the nine analyzed parameters show 25.93% on average. Generally, each environment has increased significantly after dividing the identifying rates of coal seams according to seam parameters and coal quality. Using the seam characteristics as thickness, dip angle, the number of interlayers, and coal quality, they help divide the Nui Beo mine into 07 relatively homogenous blocks, namely A1, A2, A3, B, C, D, and E, respectively. In which block A1 is formed in a swamp environment; blocks A2 and A3 are characterized by a mudflat environment; block B is suggested a flow environment; block C is characterized by mudflat; block D features a swampy and block E in the periphery. The results confirm that applied mathematical methods in geological science are effective, especially in identifying coal seams and sedimentary environments.</p> 2023-01-02T04:36:03+00:00 ##submission.copyrightStatement## http://stdjsee.scienceandtechnology.com.vn/index.php/stdjsee/article/view/699 The research on the low carbon industrial park index (I¬LCIP ): Applied in trang bang industrial park in Tay Ninh province 2023-01-02T04:43:40+00:00 http://stdjsee.scienceandtechnology.com.vn/public/journals/2/article_699_cover_en_US.png Vuong Thi Mai Thi tumuoi4@yahoo.com.vn Tran Hau Vuong thvuong@hcmunre.edu.vn <p>The process of developing industrial parks (IPs) is facing many challenges in terms of environmental pollution due to various types of waste, wastewater and especially greenhouse gas emissions. To evaluate the impacts of greenhouse gas emissions from industrial park development, this requires an effective tool to identify, analyze and assess carbon emissions from industrial zones is needed. The low cacbon industrial park index ((I¬LCIP) is the general measure to reflect the activities of the industrial park in the ways to conform with the purpose of the low cacbon economy, the national strategy on climate change and green growth. This paper chooses the Min – Max normalization method to standardize the collected data on the range of common values from 1 to 100. Based on the I¬LCIP assessment index applied to industrial park, we can classify industrial park according to 5 levels: very high carbon emission industrial zone, high carbon emission industrial zone, medium carbon emission industrial zone, low carbon emission industrial zones and the industrial park has very low carbon emissions. The low carbon industrial park index was applyied to assess and classify Trang Bang industrial park, Tay ninh province. The result showed that, the low carbon industrial park index of Trang Bang industrial park is in the range of 27,99 – 62,14 in the period 2016 – 2020. The Trang Bang industrial park is classified with 03 levels: medium carbon emission industrial zone, high carbon emission industrial zone and very high carbon emission industrial zone.</p> 2023-01-02T04:43:40+00:00 ##submission.copyrightStatement## http://stdjsee.scienceandtechnology.com.vn/index.php/stdjsee/article/view/722 Aquifer Upper-Middle Pleistocene (qp2-3) vulnerability assessment using origin DRASTIC and improved AHP- DRASTIC in Ho Chi Minh City 2023-01-15T12:02:57+00:00 http://stdjsee.scienceandtechnology.com.vn/public/journals/2/article_722_cover_en_US.png Vy Hong Minh Tat tathongminhvy271@gmail.com Au Hai Nguyen haiau@hcmier.edu.vn <p>Groundwater protection against anthropogenic sources, including the exploitation and use of groundwater sources, the release of wastes into the soil environment, changes in land cover, and the process of groundwater recharge is of paramount importance for protecting human health by securing clean groundwater for drinking water production. The identification of a groundwater contamination risk zone has been found to be a necessary and useful approach for managing this valuable resources. In the present study, the improved DRASTIC index model with optimized AHP weights technique applied for the assessment of groundwater vulnerability in the Upper-Middle Pleistocene aquifer of Ho Chi Minh City. The dataset of AHP weights of the DRATIC component parameters calculated from the data of experts' evaluation of the characteristics of the study area, demonstrates very clearly the importance of the component parameters of the study area. The results of GIS and AHP- DRASTIC have showed three levels: the low vulnerability zone is 60,98%, medium and high vulnerability zones account for 25,64% and 13,38% of the total study area, respectively. According to the level of vulnerable zoning, the highly vulnerable area is one that has exposed aquifers or shallow aquifer roofs, significant recharge (added directly from rains or runoff from the surface flows in associated with contaminants from runoff flows), coverage rates, and extensive mining activities constitute a high-risk index for groundwater vulnerability. This result suggests that the GIS-based DRASTIC index model is a useful tool to assist policymakers in formulating solutions for the sensible use of water resources, as well as to identify regions where groundwater exploitation is limited.</p> 2023-01-15T12:02:57+00:00 ##submission.copyrightStatement##