Water Quality Assessments

2021 ◽  
Author(s):  
Deborah Chapman
Keyword(s):  
Water Quality ◽  
Quality Assessments

scholarly journals Water Quality Assessments for Urban Water Environment

Water ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 1686
Author(s):  
Pankaj Kumar
Keyword(s):  
Water Quality ◽  
Water Environment ◽  
Urban Water ◽  
Freshwater Resources ◽  
Intrinsic Connection ◽  
Quality Assessments

Since ages, human societies have witnessed the intrinsic connection between their all-encompassing development and freshwater resources [...]

scholarly journals An Overview on Water Quality Trending for Lake Water Classification in Malaysia

2018 ◽  
Vol 7 (3.23) ◽  
pp. 5
Author(s):  
Muhammad Muzzammil Shahabudin ◽  
Sabariah Musa
Keyword(s):  
Water Quality ◽  
Water Resources ◽  
Lake Water ◽  
Quality Index ◽  
Water Quality Assessment ◽  
Lake Water Quality ◽  
Water Classification ◽  
Quality Classification ◽  
Water Quality Classification ◽  
Quality Assessments

Lake water is important to all life and surroundings with multiples benefits and forms either in natural or man-made conditions. One of the most well-known tools for assessing the water quality is Water Quality Index (WQI) and widely used including Malaysia. Lake water quality should be represented in lucid way like other surface water regarding to the WQI standards for water quality assessment on lakes. This paper aims to review on lake water quality classification and its uses based on WQI standards in Malaysia. In this review, the uses of WQI for assessing the lake water and functioned of lakes are discussed. Results on pH from 5.0 to 9.2, BOD in mg/l from 0 to 180, COD in mg/l from 5 to 150, SS in mg/l from o to 1800, DO in mg/l from 0 to 8 and AN in mg/l N from -1 to 26. Variety of numbers is due to different loading of pollutions and location. With used of WQI on lake water quality assessments, further action can be taken for the uses on water resources by maintaining the quality. It also will broaden the uses of lake water as alternative of water resources in Malaysia.  

scholarly journals Blending Satellite Data to Monitor Agricultural Water Use

Eos ◽  
2017 ◽  
Author(s):  
Terri Cook
Keyword(s):  
Water Quality ◽  
Water Use ◽  
Satellite Data ◽  
New Technique ◽  
Agricultural Water ◽  
Agricultural Water Use ◽  
Improve Water Quality ◽  
A New Technique ◽  
Quality Assessments

A new technique that merges data gathered by multiple satellites can be used to monitor agricultural water use and improve water quality assessments around the globe.

scholarly journals Monitoring of water quality in Ciujung river using remote sensing and GIS

2020 ◽  
Vol 202 ◽  
pp. 06019
Author(s):  
Shofiyatul Afidah ◽  
Sutrisno Anggoro ◽  
Sudarno
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Chlorophyll A ◽  
Pollution Index ◽  
Secondary Data ◽  
Biological Indicator ◽  
Agriculture Industry ◽  
Calculation Results ◽  
Pollutant Sources ◽  
Quality Assessments

Ciujung River is one of the important rivers in Banten Province and it is the main water supply for agriculture, industry and bathing. Due to extensive agricultural, urban, and industrial activities in the watershed of this ecosystem, some studies have assumed that the river is contaminated. But, there is no research related Ciujung River water quality with biological indicator and maping pollutant sources. The aim of this study is analyze : water quality of Ciujung River and influence of activities in Ciujung watershed to the water pollution in Ciujung River. Calculation Pollution Index (PI) and calculation chlorophyll-a abundance are adopted for water quality assessments. Water quality were analysed based on secondary data from BBWS C3 in January-May 2020. Chlorophyll-a abundance measured by Sentinel-2 imagery, water quality assessments result of each section presented in spasial data with GIS. Water quality map overlayed with land use map to indentify the influence of activities in Ciujung watershed to water pollution in Ciujung River. PI calculation results show that Ciujung River is moderately polluted, PI calculation result of each section is >5. Meanwhile, the abundance of chlorophyll-a can describe level of pollution in Ciujung River from biological parameters, the highest chlorophyll-a abundance is in Pamarayan (38,6) and the lowest chlorophyll-a abundance is in Jembatan Keong (18,6).

scholarly journals Assessing the potential of integrating Landsat sensors for estimating chlorophyll-a concentration in a reservoir

2017 ◽  
Vol 49 (5) ◽  
pp. 1608-1617 ◽  
Author(s):  
Matias Bonansea ◽  
Claudia Rodriguez ◽  
Lucio Pinotti
Keyword(s):  
Water Quality ◽  
Chlorophyll A ◽  
Landsat Imagery ◽  
Quality Parameters ◽  
Landsat 8 ◽  
Chlorophyll A Concentration ◽  
Chl A ◽  
Sensing Applications ◽  
Wide Range ◽  
Quality Assessments

Abstract Landsat satellites, 5 and 7, have significant potential for estimating several water quality parameters, but to our knowledge, there are few investigations which integrate these earlier sensors with the newest and improved mission of Landsat 8 satellite. Thus, the comparability of water quality assessing across different Landsat sensors needs to be evaluated. The main objective of this study was to assess the feasibility of integrating Landsat sensors to estimate chlorophyll-a concentration (Chl-a) in Río Tercero reservoir (Argentina). A general model to retrieve Chl-a was developed (R2 = 0.88). Using observed versus predicted Chl-a values the model was validated (R2 = 0.89) and applied to Landsat imagery obtaining spatial representations of Chl-a in the reservoir. Results showed that Landsat 8 can be combined with Landsat 5 and 7 to construct an empirical model to estimate water quality characteristics, such as Chl-a in a reservoir. As the number of available and upcoming sensors with open access will increase with time, we expect that this trend will certainly further promote remote sensing applications and serve as a valuable basis for a wide range of water quality assessments.

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