scholarly journals Impacts of water quality on Acropora coral settlement: The relative importance of substrate quality and light

2021 ◽  
Vol 777 ◽  
pp. 146079
Author(s):  
Gerard F. Ricardo ◽  
Charlotte E. Harper ◽  
Andrew P. Negri ◽  
Heidi M. Luter ◽  
Muhammad Azmi Abdul Wahab ◽  
...  
Keyword(s):  
Water Quality ◽  
Relative Importance ◽  
Coral Settlement ◽  
Substrate Quality

scholarly journals Analytical Protocol to Estimate the Relative Importance of Environmental and Anthropogenic Factors in Influencing Runoff Quality in the Bumbu Watershed, Papua New Guinea

Hydrology ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 77
Author(s):  
Willie Doaemo ◽  
Lawrence Wuest ◽  
Shaurya Bajaj ◽  
Wan Shafrina Wan Mohd Jaafar ◽  
Midhun Mohan
Keyword(s):  
Water Quality ◽  
Papua New Guinea ◽  
Surface Water Quality ◽  
New Guinea ◽  
Anthropogenic Factors ◽  
Relative Importance ◽  
Hygiene Practices ◽  
Drainage Patterns ◽  
Spatially Distributed ◽  
Runoff Quality

The wellbeing, socio-economic viability and the associated health of the inhabitant species of any ecosystem are largely dependent on the quality of its water resources. In this regard, we developed a protocol to measure the potential impact of various environmental and anthropogenic factors on runoff quality at 22 water sampling sites across the Bumbu Watershed in Papua New Guinea. For this purpose, we utilized Digital Elevation Models and several GIS techniques for delineation of stream drainage patterns, classification of the watershed based on Land Use/Land Cover, spatial interpolation of rainfall patterns and computation of the corresponding factor runoff. Our study concludes that a variety of potential challenges to surface water quality are possible such as natural geologic and geochemical inputs, runoff accumulation of precipitation and organic matter pollutants. The developed protocol can also accommodate socio-economic factors such as community and household health, sanitation and hygiene practices, pollution and waste disposal. This research lays the foundation for further development of an all-inclusive correlational analysis between the relative importance values of the factors influencing runoff and spatially distributed water quality measurements in the Bumbu basin.

Assessment of Water Quality Using Grey Relational Analysis and Principal Component Analysis

2011 ◽  
Vol 255-260 ◽  
pp. 2829-2835 ◽  
Author(s):  
Yong Qian Cheng ◽  
Hong Mei Ma ◽  
Qian Wu Song ◽  
Yue Zhang
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Grey Relational Analysis ◽  
Principal Component ◽  
Water Quality Assessment ◽  
Component Analysis ◽  
Comprehensive Assessment ◽  
Relative Importance ◽  
Relational Analysis ◽  
Grey Relational

This paper investigates the comprehensive assessment of water quality, which is generally a multi-attribute assessment problem. In this context, the grey relational analysis is adopted to settle the no uniformity problem of water quality attributes. The principal component analysis is applied to calculate the weighting values corresponding to various attributes of water quality so that their relative importance can be properly and objectively described. Results of study reveal that grey relational analysis coupled with principal component analysis can effectively solve the multi-attribute water quality assessment. The method is universal and can be a useful tool to improve the comprehensive assessment of water quality.

Regression models for the prediction of water quality in the stormwater of urban arid catchmentsA paper submitted to the Journal of Environmental Engineering and Science.

2009 ◽  
Vol 36 (2) ◽  
pp. 331-344 ◽  
Author(s):  
M. Nouh ◽  
N. Al-Noman
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Suspended Sediment ◽  
Regression Models ◽  
Stormwater Runoff ◽  
Environmental Engineering ◽  
Regression Equations ◽  
Relative Importance ◽  
Flow Properties ◽  
Water Quality Control

Data from five residential urban arid catchments were used to develop regression equations for predicting mean concentrations of selected heavy metals in the stormwater runoff from duststorm and stormwater flow properties. The selected metals are copper (Cu), lead (Pb), nickel (Ni), zinc (Zn), and iron (Fe). The concentrations of the selected metals were predicted through two groups of equations. The first group of equations relates concentrations of suspended sediment with duststorm and stormwater parameters, whereas the second group relates the concentrations of the suspended sediment with those of heavy metals in the stormwater runoff. The results of the predictions encouraged recommendations on the use of the equations in the investigated catchments and identified the relative importance of the stormwater runoff and duststorms on the accumulation and transportation of heavy metals in the stormwater runoff. Based on the obtained results, recommendations concerning water quality control in arid areas are made.

Water Quality across the River Ganga Basin in India: Trends, Dominant Geochemical Processes and Impacts

2021 ◽  
Author(s):  
Laura A. Richards ◽  
Keyword(s):  
Water Quality ◽  
Quality Parameters ◽  
Relative Importance ◽  
Ganga Basin ◽  
Monsoon Period ◽  
River Bank ◽  
Annual Cycles ◽  
Anthropogenic Inputs ◽  
River Ganga ◽  
Contaminant Distribution

<p>In a basin-wide survey of the River Ganga and key tributaries, from the Himalayan source to the Bay of Bengal in India, we aim to improve the conceptual understanding of downstream water quality trends along > 2000 km.  Here we explore the spatial distribution of a suite of inorganic and organic chemicals, nutrients and wastewater indicators to determine the dominant geochemical process controls across the basin.  Sampling was undertaken at 81 sites in the post-monsoon period of 2019.  We use chemical signatures to identify likely sources, characterise potential higher-pollution zones and to determine the relative importance of regional versus localized controls on the observed water quality parameters, including in relation to contaminant type.  The influence from key tributaries is determined.  We seek to unravel the relative importance of mechanisms such as dilution, evaporation, water-rock interactions and anthropogenic inputs in controlling contaminant distribution.  We assess the representativeness of river bank sampling in comparison to cross-river transects in select locations.  We compare our data to historical records across previous annual cycles, noting differences in extent of agreement according to contaminant type.  This coordinated, catchment-wide survey presents a much broader and more comprehensive dataset than typically reported, hence leading to substantially improved process understanding of dominant controls on contaminant distribution across the catchment.  This work may have implications on informing future monitoring efforts and in identifying future remediation priorities.</p><p><strong>Acknowledgements </strong>This research was supported by the NERC-DST Indo-UK Water Quality Programme (NE/R003386/1 and DST/TM/INDO-UK/2K17/55(C) & 55(G) to DP et al; NE/R003106/1 and DST/TM/INDO-UK/2K17/30 to DR et al.), NE/R000131/1 to Jenkins et al. and a Dame Kathleen Ollerenshaw Fellowship (LR).</p>

Assessing Water Quality in Payments for Environmental Services

2019 ◽  
pp. 1-17
Author(s):  
Alexandre Choupina ◽  
Elisabeth T. Pereira ◽  
Francis Lee Ribeiro ◽  
Marina Tuyako Mizukoshi
Keyword(s):  
Water Quality ◽  
Quality Index ◽  
Fuzzy Inference ◽  
Environmental Services ◽  
Relative Importance ◽  
Inference System ◽  
Water Quality Indicators ◽  
Decision Aiding ◽  
Payment For Environmental Services ◽  
Water Provision

The strategy of payment for environmental services (PES) has been increasingly present in current environmental policies, due to the acknowledgment that new mechanisms are needed to stimulate the conservation and maintenance of life-supporting services, such as the services of water provision to populations and to agricultural purposes. Nevertheless, some difficulties related to the lack of consistent methodologies to analyze the efficiency and water quality are verified. The chapter applies a methodology based in an adaptive neutral fuzzy inference system (ANFIS) approach to assess water quality. With this purpose, a water quality index is developed through a fuzzy reasoning. The relative importance of water quality indicators involved in the fuzzy inference process is modeled using a multi-attribute decision-aiding method. In recent years, fuzzy-logic-based methods have demonstrated to be appropriate to address uncertainty and subjectivity in environmental problems.

scholarly journals Impacts of water quality on Acropora coral settlement: The relative importance of substrate quality and light

2020 ◽  
Author(s):  
Gerard F. Ricardo ◽  
Charlotte E. Harper ◽  
Andrew P. Negri ◽  
Heidi M. Luter ◽  
Muhammad Azmi Abdul Wahab ◽  
...  
Keyword(s):  
Water Quality ◽  
Settlement Patterns ◽  
Larval Settlement ◽  
Common Species ◽  
Coralline Algae ◽  
Recent Sediment ◽  
Crustose Coralline Algae ◽  
Substrate Quality ◽  
Light Spectra ◽  
Poor Water Quality

AbstractCoral larval settlement patterns are influenced by a vast array of factors; however, the relative roles of individual factors are rarely tested in isolation, leading to confusion about which are most crucial for settlement. For example, direct effects of light environment are often cited as a major determinate of settlement patterns, yet this has not been demonstrated under environmentally realistic lighting regimes in the absence of confounding factors. Here we apply programmable multispectral lights to create realistic light spectra, while removing correlating (but not obvious) factors that are common in laboratory settlement experiments. Using two common species of Acropora – key framework builders of the Great Barrier Reef – we find little evidence that light intensity or changes in the spectral profile play a substantial role in larval settlement under most environmentally realistic settings but can under more extreme or artificial settings. We alternatively hypothesise and provide evidence that chronic conditions of light and recent sediment exposures that impact benthic substrates (e.g., crustose coralline algae) preceding settlement have a greater impact, with up to 74% decrease in settlement observed on substrates with prior exposure and poor water quality conditions. Management of water quality conditions that impact the quality of benthic-settlement substrates therefore should present a priority area of focus for improving coral recruitment.

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