scholarly journals The role of soils in regulation of freshwater and coastal water quality

2021 ◽  
Vol 376 (1834) ◽  
pp. 20200176
Author(s):  
Kun Cheng ◽  
Xiangrui Xu ◽  
Liqiang Cui ◽  
Yunpeng Li ◽  
Jufeng Zheng ◽  
...  
Keyword(s):  
Water Quality ◽  
Coastal Water ◽  
Emerging Contaminants ◽  
Soil Management ◽  
Coastal Water Quality ◽  
Research Fields ◽  
Quality Regulation ◽  
Management Measures ◽  
Mangrove Wetlands

Water quality regulation is an important ecosystem service function of soil. In this study, the mechanism by which soil regulates water quality was reviewed, and the effects of soil management on water quality were explored. A scientometrics analysis was also conducted to explore the research fields and hotspots of water quality regulation of soil in the past 5 years. This review found that the pollutants entering the soil can be mitigated by precipitation, adsorption and desorption, ion exchange, redox and metabolic decomposition. As an optimal substrate, soil in constructed wetlands has perfect performance in the adsorption and passivation of pollutants such as nitrogen, phosphorus and heavy metals in water, and degradation of pesticides and emerging contaminants. Mangrove wetlands play an important role in coastal zone protection and coastal water quality restoration. However, the excessive application of agricultural chemicals causes soil overload, which leads to the occurrence of agricultural non-point source pollution. Under the dual pressures of climate change and food insecurity in the future, developing environmentally friendly and economically feasible sustainable soil management measures is crucial for maintaining the water purification function of soil by relying on the accurate quantification of soil function based on big data and modelling. This article is part of the theme issue ‘The role of soils in delivering Nature's Contributions to People’.

scholarly journals Public acceptance of coastal zone management efforts: The role of citizen preferences in the allocation of funds

2017 ◽  
Vol 46 (2) ◽  
pp. 268-295 ◽  
Author(s):  
Keith S. Evans ◽  
Caroline L. Noblet ◽  
Emma Fox ◽  
Kathleen P. Bell ◽  
Abigail Kaminski
Keyword(s):  
Water Quality ◽  
Coastal Water ◽  
Coastal Zone Management ◽  
Decision Makers ◽  
Management Options ◽  
Coastal Water Quality ◽  
Zone Management ◽  
Key Policy ◽  
The Impact

We investigate allocation of funds by citizens across management options addressing impairments to coastal water quality. We study systematic variation in citizen allocation of funds to adaptive versus preventative strategies including the impact of referundum choices and test whether allocations will be impacted by cuing in the design of the referendum. Two key policy insights from our results: citizens who votenoon a water quality referendum have different preferences over allocating funds and providing cues to voters influenced allocation behavior. These results can assist decision makers in thinking about language used to communicate coastal water quality issues, particularly budget referenda.

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
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