scholarly journals Preliminary assessment of marine debris pollution and coastal water quality on some beaches in Thanh Hoa province, Vietnam

2021 ◽  
Vol 21 (3) ◽  
pp. 329-340
Author(s):  
Duong Thi Lim ◽  
Thi Lan Huong Nguyen ◽  
Thi Hue Nguyen ◽  
Tran Quan Dang ◽  
Thi Huong Thuy Nguyen ◽  
...  
Keyword(s):  
Water Quality ◽  
Coastal Water ◽  
High Density Polyethylene ◽  
Idle Time ◽  
Food Preservation ◽  
Marine Debris ◽  
Preliminary Assessment ◽  
Water Parameters ◽  
Coastal Water Quality ◽  
And Control

Marine debris assessment gives information about their quantity, type, and composition, which provides data to help with their management and control. The authors conducted two surveys at three beaches at Sam Son, Hai Tien, Hai Hoa) in Thanh Hoa province in March 2020 and July 2020, respectively, during an inactive and active tourism period. A total of 3,803 waste units were collected for assessment, of which plastic waste accounts for more than 98%. The density of marine debris at the idle time of tourism ranged from 0.25–1.21 items/m2. But the active tourist season recorded from 0.52–1.4 items/m2. According to the Clean Coast Index (CCI), the cleanliness of beaches was grade from average clean (i.e., Hai Tien) to filthy (i.e., Hai Hoa). The plastic debris present at these beaches was mainly porous waste derived from fishing boats and food preservation foam boxes. The results also showed that the marine debris was composed of 77% polystyrene (PS), 17% polypropylene (PP) and 6% high-density polyethylene (HDPE). The water parameters were lower than the critical values during the study period according to the QCVN 10-MT:2015/BTNMT for both periods, which indicated the coastal water quality was still suitable for recreational activities.

ADCP Application for Long Term Monitoring of Coastal Water Quality

2001 ◽  
Author(s):  
Hiroshi Yoshioka ◽  
Tomotsuka Takayama ◽  
Yoshitaka Tanabe ◽  
Nobuaki Shiraishi
Keyword(s):  
Water Quality ◽  
Coastal Water ◽  
Coastal Water Quality ◽  
Long Term Monitoring ◽  
Term Monitoring

scholarly journals Developing of Total Suspended Sediment Model Using Landsat-8 Satellite Image and In-Situ Data at The Surabaya Coast, East Java, Indonesia

2017 ◽  
Vol 49 (1) ◽  
pp. 73 ◽  
Author(s):  
Teguh Hariyanto ◽  
Trismono C. Krisna ◽  
Khomsin Khomsin ◽  
Cherie Bhekti Pribadi ◽  
Nadjadji Anwar
Keyword(s):  
Water Quality ◽  
Suspended Sediment ◽  
Coastal Water ◽  
Satellite Image ◽  
Coastal Region ◽  
Sediment Concentration ◽  
Landsat 8 ◽  
Total Suspended Sediment ◽  
Coastal Water Quality

The decrease of coastal-water quality in the Surabaya coastal region can be recognized from the conceentration of Total Suspended Sediment(TSS ) . As a result we need a system for monitoring sediment concentration in the coastal region of Surabaya which regularly measures TSS. The principle to model and monitor TSSconcentration using remote sensing methods is by the integration of Landsat-8OLI satellites image processing using some ofTSS-models then those are analyzed for looking its suitability with TSS value direcly measured in the field ( in-situ measurement). The TSS value modeled from all algorithms validated usingcorrelation analysis and linear regression . The result shows that TSS model with the highest correlation value is TSS algorithm by Budiman (2004)with r value 0.991. Hence this algorithm can be used to investigate TSS-distribution which represent the coastal water quality of Surabaya with TSS value between 75 mg/L to 125 mg/L.

Use of co-created causal loop diagrams and fuzzy-cognitive scenario analysis for water quality management

2021 ◽  
Author(s):  
Samaneh Seifollahi-Aghmiuni ◽  
Zahra Kalantari ◽  
Georgia Destouni
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Baltic Sea ◽  
Coastal Water ◽  
Scenario Analysis ◽  
Water Quality Management ◽  
Coastal Water Quality ◽  
Causal Loop ◽  
Causal Loop Diagrams ◽  
Quality Issues

<p>Current understanding is fragmented of the environmental, economic, and social processes involved in water quality issues. The fragmentation is particularly evident for coastal water quality, impacted both by local land catchment and larger-scale marine pressures and impacts. Research and policy so far has primarily addressed coastal water quality issues from either a land-based or a sea-based perspective, which does not support integrated management of the coupled land-coast-sea systems affecting coastal waters. For example, mitigation measures for improving the severe Baltic Sea eutrophication have mostly focused on land-based drivers, and not yet managed to sufficiently improve coastal or marine water quality. The strong human dimension involved in these water quality issues also highlights a need for participatory approaches to facilitate knowledge integration and drive synergistic strategic planning for sustainable management of coastal water quality. Considering the Swedish water management district of Northern Baltic Proper, including its main Norrström drainage basin and surrounding coastal catchment areas and waters, this study has used a participatory approach to evaluate various land-sea water quality interactions and associated management measures. A causal loop diagram has been co-created with different stakeholder groups, following a problem-oriented system thinking approach. This has been further used in fuzzy-cognitive scenario analysis to assess integrated land-coast-sea system behavior under changing human pressures and hydro-climatic conditions. Results show that synergy of several catchment measures is needed to improve coastal water quality locally, while cross-system/sector cooperation is also needed among all contributing national catchments to mitigate coastal eutrophication at the scale of the whole Baltic Sea. Furthermore, large-scale hydro-climatic changes and long-lived nutrient legacy sources also need to be accounted for in water quality management strategies and measures. System dynamics modelling, based on co-created causal loop diagrams and fuzzy-cognitive scenario analysis like those developed in this study, can support further quantification and analysis of the impacts of various mitigation strategies and measures on regional water quality problems and their possible sustainable solutions.</p>

Energy policy and coastal water quality: An integrated energy, air and water quality modeling approach

2021 ◽  
pp. 151593
Author(s):  
Jhih-Shyang Shih ◽  
Charles T. Driscoll ◽  
Dallas Burtraw ◽  
Huizhong Shen ◽  
Richard A. Smith ◽  
...  
Keyword(s):  
Water Quality ◽  
Energy Policy ◽  
Coastal Water ◽  
Water Quality Modeling ◽  
Coastal Water Quality ◽  
Modeling Approach ◽  
Quality Modeling

Student participation in a coastal water quality citizen science project and its contribution to the conceptual and procedural learning of chemistry

2021 ◽  
Author(s):  
José Luís Araújo ◽  
Carla Morais ◽  
João Paiva
Keyword(s):  
Water Quality ◽  
Citizen Science ◽  
Coastal Water ◽  
Student Participation ◽  
Scientific Research ◽  
Procedural Learning ◽  
Science Project ◽  
Coastal Water Quality ◽  
Chemistry Learning ◽  
Citizen Science Project

The active participation of citizens in scientific research, through citizen science, has been proven successful. However, knowledge on the potential of citizen science within formal chemistry learning, at the conceptual...

Governance and Public Policies of Coastal Water Quality in the Pertuis Charentais

2021 ◽  
pp. 21-40
Author(s):  
Alice Mazeaud ◽  
François Bénitez ◽  
Anaïs Ridel ◽  
Arno Bringer ◽  
Christine Plumejeaud ◽  
...  
Keyword(s):  
Water Quality ◽  
Coastal Water ◽  
Public Policies ◽  
Coastal Water Quality
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