The risk level of each criterion in the process of analyzing the risk of environmental degradation of seaports.
AHP is one of the multi-objective decision-making methods proposed by Thomas L. Saaty (1987)[76]. AHP is a quantitative method used to arrange decision alternatives and select an alternative that satisfies given criteria. Based on the principle of pairwise comparison, the AHP method can be described with three main principles, namely analysis, evaluation and synthesis. AHP answers questions such as “Which alternative should we choose?” or “Which alternative is the most important?” by selecting the best alternative that satisfies the decision maker’s criteria based on comparing pairs of alternatives and a specific calculation mechanism[31].
AHP is widely used in risk assessment to determine the importance of hazards that cause a risk event.

Figure 2.2. Multi-criteria analysis diagram
The weighting of the evaluation criteria is performed by the pairwise comparison method based on the expert opinions. The priority value is evaluated according to the Saaty scale. The expert opinions on these criteria are also checked for consistency through the RI index.
inertia
uh
yes
n
steam
oh
n
steam
oh
Table 2.3. Table comparing the importance of each pair of criteria
Column A
C ck a lot | R t much | More | Few | Equal | Few | More | So many | Too much | Column B | |||||||||
Criterion A1 | 9 | 8 | 7 | 6 | 5 | 4 | 3 | 2 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | Criteria A2 |
Criteria A2 | 9 | 8 | 7 | 6 | 5 | 4 | 3 | 2 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | Criteria A3 |
Criterion A3 | 9 | 8 | 7 | 6 | 5 | 4 | 3 | 2 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | Criterion A1 |
Maybe you are interested!
-
International Credit Card Price Comparison Table Between Banks -
Economic Growth Rate Comparison Table (Grdp), 2016 - 2019 -
Ranking Results Comparison Table -
Determining the Importance of External Environmental Factors -
Identify Rating Levels and Rating Scales
zt2i3t4l5ee
zt2a3gstourism,quan lan,quang ninh,ecology,ecotourism,minh chau,van don,geography,geographical basis,tourism development,science
zt2a3ge
zc2o3n4t5e6n7ts
of the islanders. Therefore, this indicator will be divided into two sub-indicators:
a1. Natural tourism attractiveness a2. Cultural tourism attractiveness
b. Tourist capacity
The two island communes in Quan Lan have different capacities to receive tourists. Minh Chau Commune is home to many standard hotels and resorts, attracting high-income domestic and international tourists. Meanwhile, Quan Lan Commune has many motels mainly built and operated by local people, so the scale and quality are not high, and will be suitable for ordinary tourists such as students.
c. Time of exploitation of Quan Lan Island Commune:
Quan Lan tourism is seasonal due to weather and climate conditions and festivals only take place on certain days of the year, specifically in spring. In Quan Lan commune, the period from April to June and from September to November is considered the best time to visit Quan Lan because the cultural tourism activities are mainly associated with festivals taking place during this time.
Minh Chau island commune:
Tourism exploitation time is all year round, because this is a place with a number of tourist attractions with diverse ecosystems such as Bai Tu Long National Park Research Center, Tram forest, Turtle Laying Beach, so besides coming to the beach for tourism and vacation in the summer, Minh Chau will attract research groups to come for tourism combined with research at other times of the year.
d. Sustainability
The sustainability of ecotourism sites in Quan Lan and Minh Chau communes depends on the sensitivity of the ecosystems to climate changes.
landscape. In general, these tourist destinations have a fairly high level of sustainability, because they are natural ecosystems, planned and protected. However, if a large number of tourists gather at certain times, it can exceed the carrying capacity and affect the sustainability of the environment (polluted beaches, damaged trees, animals moving away from their habitats, etc.), then the sustainability of the above ecosystems (natural ecosystems, human ecosystems) will also be affected and become less sustainable.
e. Location and accessibility
Both island communes have ports to take tourists to visit from Van Don wharf:
- Quan Lan – Van Don traffic route:
Phuc Thinh – Viet Anh high-speed boat and Quang Minh high-speed boat, depart at 8am and 2pm from Van Don to Quan Lan, and at 7am and 1pm from Quan Lan to Van Don. There are also wooden boats departing at 7am and 1pm.
- Van Don - Minh Chau traffic route:
Chung Huong high-speed train, Minh Chau train, morning 7:30 and afternoon 13:30 from Van Don to Minh Chau, morning 6:30 and afternoon 13:00 from Minh Chau to Van Don.
f. Infrastructure
Despite receiving investment attention, the issue of infrastructure and technical facilities for tourism on Quan Lan Island is still an issue that needs to be resolved because it has a direct impact on the implementation of ecotourism activities. The minimum conditions for serving tourists such as accommodation, electricity, water, communication, especially medical services, and security work need to be given top priority. Ecotourism spots in Minh Chau commune are assessed to have better infrastructure and technical facilities for tourism because there are quite complete and synchronous conditions for serving tourists, meeting many needs of domestic and foreign tourists.
3.2.1.4. Determine assessment levels and assessment scales
Corresponding to the levels of each criterion, the index is the score of those levels in the order of 4, 3, 2, 1 decreasing according to the standard of each level: very attractive (4), attractive (3), average (2), less attractive (1).
3.2.1.5. Determining the coefficients of the criteria
For the assessment of DLST in the two communes of Quan Lan and Minh Chau islands, the students added evaluation coefficients to show the importance of the criteria and indicators as follows:
Coefficient 3 with criteria: Attractiveness, Exploitation time. These are the 2 most important criteria for attracting tourists to tourism in general and eco-tourism in particular, so they have the highest coefficient.
Coefficient 2 with criteria: Capacity, Infrastructure, Location and accessibility . Because the assessment area is an island commune of Van Don district, the above criteria are selected by the author with appropriate coefficients at the average level.
Coefficient 1 with criteria: Sustainability. Quan Lan has natural and human-made ecotourism sites, with high biodiversity and little impact from local human factors. Most of the ecotourism sites are still wild, so they are highly sustainable.
3.2.1.6. Results of DLST assessment on Quan Lan island
a. Assessment of the potential for natural tourism development
For Minh Chau commune:
+ Natural tourism attractiveness is determined to be very attractive (4 points) and the most important coefficient (coefficient 3), so the score of the Attractiveness criterion is 4 x 3 = 12.
+ Capacity is determined as average (2 points) and the coefficient is quite important (coefficient 2), then the score of Capacity criterion is 2 x 2 = 4.
+ Exploitation time is long (4 points), the most important coefficient (coefficient 3) so the score of the Exploitation time criterion is 4 x 3 = 12.
+ Sustainability is determined as sustainable (4 points), the important coefficient is the average coefficient (coefficient 1), so the score of the Sustainability criterion is 4 x 1 = 4 points
+ Location and accessibility are determined to be quite favorable (2 points), the coefficient is quite important (coefficient 2), the criterion score is 2 x 2 = 4 points.
+ Infrastructure is assessed as good (3 points), the coefficient is quite important (coefficient 2), then the score of the Infrastructure criterion is 3 x 2 = 6 points.
The total score for evaluating DLST in Minh Chau commune according to 6 evaluation criteria is determined as: 12 + 4 + 12 + 4 + 4 + 6 = 42 points
Similar assessment for Quan Lan commune, we have the following table:
Table 3.3: Assessment of the potential for natural ecotourism development in Quan Lan and Minh Chau communes
Attractiveness of self-tourismof course
Capacity
Mining time
Sustainability
Location and accessibility
Infrastructure
Result
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
CommuneMinh Chau
12
12
4
8
12
12
4
4
4
8
6
8
42/52
Quan CommuneLan
6
12
6
8
9
12
4
4
4
8
4
8
33/52
b. Assessment of the potential for humanistic tourism development
For Quan Lan commune:
+ The attractiveness of human tourism is determined to be very attractive (4 points) and the most important coefficient (coefficient 3), so the score of the Attractiveness criterion is 4 x 3 = 12.
+ Capacity is determined to be large (3 points) and the coefficient is quite important (coefficient 2), then the score of the Capacity criterion is 3 x 2 = 6.
+ Mining time is average (3 points), the most important coefficient (coefficient 3) so the score of the Mining time criterion is 3 x 3 = 9.
+ Sustainability is determined as sustainable (4 points), the important coefficient is the average coefficient (coefficient 1), so the score of the Sustainability criterion is 4 x 1 = 4 points.
+ Location and accessibility are determined to be quite favorable (2 points), the coefficient is quite important (coefficient 2), the criterion score is 2 x 2 = 4 points.
+ Infrastructure is rated as average (2 points), the coefficient is quite important (coefficient 2), then the score of the Infrastructure criterion is 2 x 2 = 4 points.
The total score for evaluating DLST in Quan Lan commune according to 6 evaluation criteria is determined as: 12 + 6 + 6 + 4 + 4 + 4 = 36 points.
Similar assessment with Minh Chau commune we have the following table:
Table 3.4: Assessment of the potential for developing humanistic eco-tourism in Quan Lan and Minh Chau communes
Attractiveness of human tourismliterature
Capacity
Mining time
Sustainability
Location and accessibility
Infrastructure
Result
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Quan CommuneLan
12
12
6
8
9
12
4
4
4
8
4
8
39/52
Minh CommuneChau
6
12
4
8
12
12
4
4
4
8
6
8
36/52
Basically, both Minh Chau and Quan Lan localities have quite favorable conditions for developing ecotourism. However, Quan Lan commune has more advantages to develop ecotourism in a humanistic direction, because this is an area with many famous historical relics such as Quan Lan Communal House, Quan Lan Pagoda, Temple worshiping the hero Tran Khanh Du, ... along with local festivals held annually such as the wind praying ceremony (March 15), Quan Lan festival (June 10-19); due to its location near the port and long exploitation time, the beaches in Quan Lan commune (especially Quan Lan beach) are no longer hygienic and clean to ensure the needs of tourists coming to relax and swim; this is also an area with many beautiful landscapes such as Got Beo wind pass, Ong Phong head, Voi Voi cave, but the ability to access these places is still very limited (dirt hill road, lots of gravel and rocks), especially during rainy and windy times; In addition, other natural resources such as mangrove forests and sea worms have not been really exploited for tourism purposes and ecotourism development. On the contrary, Minh Chau commune has more advantages in developing ecotourism in the direction of natural tourism, this is an area with diverse ecosystems such as at Rua De Beach, Bai Tu Long National Park Conservation Center...; Minh Chau beach is highly appreciated for its natural beauty and cleanliness, ranked in the top ten most beautiful beaches in Vietnam; Minh Chau commune is also home to Tram forest with a large area and a purity of up to 90%, suitable for building bridges through the forest (a very effective type of natural ecotourism currently applied by many countries) for tourists to sightsee, as well as for the purpose of studying and researching.
Figure 3.1: Thenmala Forest Bridge (India) Source: https://www.thenmalaecotourism.com/(August 21, 2019)
3.2.2. Using SWOT matrix to evaluate Quan Lan island tourism
General assessment of current tourism activities of Quan Lan island is shown through the following SWOT matrix:
Table 3.5: SWOT matrix evaluating tourism activities on Quan Lan island
Internal agent
Strengths- There is a lot of potential for tourism development, especially natural ecotourism and humanistic ecotourism.- The unskilled labor force is relatively abundant.- resource environmentunpolluted, still
Weaknesses- Poorly developed infrastructure, especially traffic routes to tourist destinations on the island.- The team of professional staff is still weak.- Tourism products in general
quite wild, originalintact
general and DLST in particularalone is monotonous.
External agents
Opportunity- Tourism is a key industry in the socio-economic development strategy of the province and Van Don economic zone.- Quan Lan was selected as a pilot area for eco-tourism development within the framework of the green growth project between Quang Ninh province and the Japanese organization JICA.- The flow of tourists and especially ecotourism in the world tends toincreasing
Challenge- Weather and climate change abnormally.- Competition in tourism products is increasingly fierce, especially with other localities in the province such as Ha Long, Mong Cai...- Awareness of tourists, especially domestic tourists, about ecotourism and nature conservation is not high.
Through summary analysis using SWOT matrix we see that:
To exploit strengths and take advantage of opportunities, it is necessary to:
- Diversify products and service types (build more tourism routes aimed at specific needs of tourists: experiential tourism immersed in nature, spiritual cultural tourism...)
- Effective exploitation of resources and differentiated products (natural resources and human resources)
div.maincontent .p { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 14pt; margin:0pt; } div.maincontent p { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 14pt; margin:0pt; } div.maincontent .s1 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 13pt; } div.maincontent .s2 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 13pt; } div.maincontent .s3 { color: #0D0D0D; font-family:"Times New Roman", serif; font-style: normal; font-weight: bold; text-decoration: none; font-size: 14pt; } div.maincontent .s4 { color: black; font-family:"Times New Roman", serif; font-style: italic; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s5 { color: black; font-family:"Times New Roman", serif; font-style: italic; font-weight: bold; text-decoration: none; font-size: 14pt; } div.maincontent .s6 { color: black; font-family:"Times New Roman", serif; font-style: italic; font-weight: normal; text-decoration: none; font-size: 14pt; vertical-align: -3pt; } div.maincontent .s7 { color: black; font-family:"Times New Roman", serif; font-style: italic; font-weight: normal; text-decoration: none; font-size: 14pt; vertical-align: -2pt; } div.maincontent .s8 { color: black; font-family:"Times New Roman", serif; font-style: italic; font-weight: normal; text-decoration: none; font-size: 14pt; vertical-align: -1pt; } div.maincontent .s9 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s10 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: bold; text-decoration: none; font-size: 14pt; } div.maincontent .s11 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s12 { color: black; font-family:Symbol, serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s13 { color: black; font-family:Wingdings; font-style: normal; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s14 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 9pt; vertical-align: 5pt; } div.maincontent .s15 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 9pt; vertical-align: 5pt; } div.maincontent .s16 { color: black; font-family:Cambria, serif; font-style: italic; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s17 { color: #080808; font-family:"Times New Roman", serif; font-style: normal; font-weight: bold; text-decoration: none; font-size: 14pt; } div.maincontent .s18 { color: #080808; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s19 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 11pt; } div.maincontent .s20 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 10pt; } div.maincontent .s21 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: bold; text-decoration: none; font-size: 11pt; } div.maincontent .s22 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 11pt; } div.maincontent .s23 { color: black; font-family:"Times New Roman", serif; font-style: italic; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s24 { color: #212121; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; tex
The weights of the criteria are calculated according to the formula:
()(3)
∑
(4)
In there:is the priority level of criterion Aj compared to the corresponding criterion Ak according to expert assessment (j,k = 1 …m).
𝑐𝑗 Average rating of experts for criterion A𝑗
𝑗 is the weight of criterion Aj
Before drawing a final conclusion, it is necessary to ensure the consistency of the expert's assessment throughout the application of the method. The consistency ratio (CR) is determined as follows:
(5)
∑
∑
(6)
(7)
m is the number of elements compared pairwise in one computation, which is the size of the computation matrix.
RI (random index): random index. RI is determined from a given table of numbers (see Table 2.4, this table only presents RI values for up to 9 criteria).
Table 2.4. Random indicators corresponding to the number of selection criteria considered
n
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |
RI | 0.00 | 0.00 | 0.58 | 0.9 | 1.12 | 1.24 | 1.23 | 1.41 | 1.49 |
In any case, the CR should not be greater than 10%. Failure to do so indicates inconsistency in the expert's assessment and requires re-evaluation and recalculation.
The process of determining the weight of the criteria goes through 3 steps: Step 1, experts make their choices; Step 2, experts with CR > 10% revise their choices to ensure that the CR index meets the requirements; Step 3, experts refer to the choices of other experts or discuss directly with the person asking for advice to better understand the criteria and reconsider their choices accordingly.
7/ Delphi method
This method is a technique to support the collection of information and knowledge from a group of experts for questionnaires or assessments on an issue. The Delphi method aims to get closer to consensus through rounds of sending questionnaires [77].
The Delphi technique is a process for achieving a reliable consensus of views among a group of experts. Although the term is now commonly used to refer to any form of brainstorming, an essential feature of the Delphi technique as originally developed is that experts express their views individually and anonymously, while still accessing the views of other experts as the process progresses. The Delphi technique can be applied at any stage of the risk management process or at any stage in the life cycle of a system, whenever a consensus of views among experts is required[18].
The Delphi method is used in combination with the analytical power factor (AHP) method [57, 58] to support experts in the process of making their judgments about the importance between the compared criteria. These two methods are widely used in different research fields to use the knowledge and experience of experts in conditions where there is not enough analytical data to compare between criteria. In the field of safety and environmental risk assessment, these two methods are also used by many authors [31-33, 37] to identify hazards that need to be prioritized for remediation.
In this Thesis, 20 experts in the fields of: Marine Science; Port Engineering; Environmental Chemistry; Occupational Safety, Health and Environment (HSE) and Port Management were consulted and commented. The opinions of the experts were summarized according to T. Saaty's rating scale in the table below (Table 2.5).
Table 2.5. Rating the relative importance of each criterion
STT
Priority level | Explain | Rating Points | |
1 | Equal importance (EQ) | Two components have equal properties | 1 |
2 | Moderate importance of one over another (MO) | Experience and opinion leans slightly towards one over the other. | 3 |
STT
Priority level | Explain | Rating Points | |
3 | Essential or strong importance (ES) | Experience and opinion leans more heavily towards one than the other. | 5 |
4 | Very strong importance - VE) | One component is given much stronger priority than the other and is expressed in practice. | 7 |
5 | Extremely important (Extreme importance - EX) | The importance of one component over another is paramount. | 9 |
8/Score evaluation method
The scoring method is a technique of quantifying by scores the parameters of the indicators used to evaluate specific criteria in the risk assessment criteria set. The assessment score corresponds to the level of risk or the level of damage of each criterion. The assessment scale depends on the person who builds the criteria set and can be from 1 to 10 or from 1 to 4. In this study, the scale from 1 to 4 is used to correspond to the levels of degradation risk and degradation levels explained in Table 2.6 and Table 2.7. Information collected from the Port Information Form is the basis for assessing the score of each criterion.
Table 2.6. Scorecard for assessing the risk of causing recession
Rating Points
Risk level | Describe | |
1 | Short | Rare but possible event |
2 | Medium | Events that occur regularly in cycles |
3 | High | Events that occur frequently and not periodically |
4 | Very high | The event is certain to happen. |
Table 2.7. Scorecard for assessing the level of degradation
Rating Points
Degree of degradation | Describe | |
4 | Disaster | Incidents occur on a large scale (inter-regional, inter-national) Large scale damage to property, people, environment... |
Rating Points
Degree of degradation | Describe | |
3 | Serious | Large-scale (regional) incidents Serious damage to property, people, environment... |
2 | significant | Incidents occur on a medium scale (range of incident area and surrounding areas) Significant damage to property, health, environment... |
1 | Small | Incidents occur on a small scale (area where the incident occurs) Minor damage to property, health, environment |
2.2.1.3. Steps to conduct research
Based on the IMO's Official Safety Assessment Guide for Maritime Operations (FSA) first issued in 2002 and updated in 2015[27] and the Risk Assessment Procedure presented in the research methodology section. The research problem implementation process is carried out according to the following steps:
- Step 1: Collect information, assess the current status of environmental management, protection and prevention and response to environmental incidents from the process of storing and loading HNS cargo at the group of seaports in the North of Vietnam. Identify risks of environmental degradation from the process of storing and loading HNS cargo at seaports.
- Step 2: Develop and test the application of a set of criteria to assess the risk of environmental degradation from the process of storing and loading HNS goods at the group of seaports in the North of Vietnam.
Step 3: Analyze and identify the causes that need to be overcome to prevent environmental degradation and pollution in the storage and loading and unloading of HNS goods at the ports in the Northern seaport group.
Step 4: Propose solutions to minimize the risk of environmental degradation caused by HNS storage and loading activities at the group of seaports in the North of Vietnam.
The process of analyzing and assessing the risk of environmental degradation from the storage and loading of HNS goods at seaports is carried out according to the following procedure:
Identify the risks of recession
Preliminary hazard analysis method
Checklist method
Identify sources of risk and affected subjects
Develop criteria for assessing the risk of causing depression
degradation and criteria for assessing the level of degradation
Direction
AHP method
Technique
Delphi
Direction
Binary screening method
Preliminary screening of ports with HNS cargo warehousing and loading activities in the group of seaports in the North of Vietnam
Survey, investigation
The port has no HNS storage and loading activities.
Port with HNS warehousing and loading activities
Remove
Analysis in next step
Determine the weight of the criteria
Determining the risk of degradation
Score method
Determine the degradation level value
Matrix
consequence/probability
Classification of environmental degradation risks
Figure 2.3. Process of analyzing, identifying and assessing the risk of environmental degradation
school at the seaport
2.3. Source of documents
To carry out the topic, the database used includes documents, data collected from ministries, branches and localities and the results of surveys, field interviews and expert opinions.
Table 2.8. Research database
STT
Data name | Source | |
I. Statistics | ||
1 | Cargo throughput through the Northern seaport group from 2016-2020 | Vietnam Maritime Administration and local maritime port authorities |
2 | Statistics of maritime accidents from 2011-2020 | Vietnam Maritime Administration |
3 | Data on environmental quality in seaport areas and coastal areas in northern Vietnam | Ministry of Transport, Vietnam Maritime University, Institute of Marine Resources and Environment |
4 | List of seaports in Vietnam | Vietnam Maritime Administration |
II. Documents | ||
1 | International conventions related to environmental protection in maritime activities, Research reports in the field of cargo transportation dangerous, toxic | The electronic portal of the World Maritime Organization (imo.org) and relevant organizations relate to |
2 | Legal and sub-legal documents of the Government and the Ministry of Transport on the maritime sector | Government electronic information portal (chinhphu.vn), Ministry of Transport (mt.gov.vn) and Vietnam Maritime Administration (vinamarine.gov.vn) |
3 | Development strategies and master plans for the development of Vietnam's seaport and maritime transport systems. | |
4 | Doctoral theses, scientific research topics in the maritime field and other fields related to the thesis. | Ministry of Education and Training electronic information portal (moet.gov.vn), national library, Institute of Marine Resources and Environment Library, Vietnam Maritime University Library. |
STT
Data name | Source | |
5 | Published works on environmental risk assessment, risk assessment at seaports, transportation of hazardous goods, marine environmental pollution... | Books, magazines, domestic and international scientific reports |
III. Field research data | ||
1 | Survey of current status of operations, environmental protection infrastructure, incident prevention and response at seaports | Information form (30 forms) |
2 | Expert opinion form to determine the weight of risk criteria (Questionnaire). | Results of expert consultation (20 votes). |
IV. Data from research topics | ||
1 | Assessing the current situation and developing a process for controlling and responding to incidents and environmental risks for dangerous goods at Vietnamese seaports, applying a trial application in the Hai Phong port area. Ministry of Transport Environmental Protection Project 2017-2018. MT 171003 | Vietnam Maritime University |
2 | Assessment of the ability to meet the requirements for waste collection and treatment at Vietnamese seaports when participating in appendices 3,4,5,6 of the Marpol 73/78 Convention. Environmental protection project at the Ministry of Transport, Code MT 141001 | |
3 | Assessment of the impact of group 1 seaport activities on the environment. Environmental protection project at the Ministry of Transport level, 2018-2019. | |
4 | Survey and assessment of current status and development of technical guidelines on environmental protection in the transportation of dangerous goods by sea. Environmental protection project at the Ministry of Transport level, Code MT 201010 | |





