Assessing the feasibility of integrating remote sensing and in-situ measurements in monitoring water quality status of Lake Chivero, Zimbabwe

2016 ◽  
Vol 93 ◽  
pp. 2-11 ◽  
Author(s):  
S. Dlamini ◽  
I. Nhapi ◽  
W. Gumindoga ◽  
T. Nhiwatiwa ◽  
T. Dube
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
In Situ Measurements ◽  
Water Quality Status ◽  
Quality Status

scholarly journals Can single empirical algorithms accurately predict inland shallow water quality status from high resolution, multi-sensor, multi-temporal satellite data?

2015 ◽  
Vol XL-7/W3 ◽  
pp. 1511-1516 ◽  
Author(s):  
I. Theologou ◽  
M. Patelaki ◽  
K. Karantzalos
Keyword(s):  
Water Quality ◽  
High Resolution ◽  
Satellite Data ◽  
Landsat 8 ◽  
Landsat 7 ◽  
Multi Temporal ◽  
Water Quality Status ◽  
Quality Status ◽  
Empirical Algorithms

Assessing and monitoring water quality status through timely, cost effective and accurate manner is of fundamental importance for numerous environmental management and policy making purposes. Therefore, there is a current need for validated methodologies which can effectively exploit, in an unsupervised way, the enormous amount of earth observation imaging datasets from various high-resolution satellite multispectral sensors. To this end, many research efforts are based on building concrete relationships and empirical algorithms from concurrent satellite and in-situ data collection campaigns. We have experimented with Landsat 7 and Landsat 8 multi-temporal satellite data, coupled with hyperspectral data from a field spectroradiometer and in-situ ground truth data with several physico-chemical and other key monitoring indicators. All available datasets, covering a 4 years period, in our case study Lake Karla in Greece, were processed and fused under a quantitative evaluation framework. The performed comprehensive analysis posed certain questions regarding the applicability of single empirical models across multi-temporal, multi-sensor datasets towards the accurate prediction of key water quality indicators for shallow inland systems. Single linear regression models didn’t establish concrete relations across multi-temporal, multi-sensor observations. Moreover, the shallower parts of the inland system followed, in accordance with the literature, different regression patterns. Landsat 7 and 8 resulted in quite promising results indicating that from the recreation of the lake and onward consistent per-sensor, per-depth prediction models can be successfully established. The highest rates were for chl-a (r<sup>2</sup>=89.80%), dissolved oxygen (r<sup>2</sup>=88.53%), conductivity (r<sup>2</sup>=88.18%), ammonium (r<sup>2</sup>=87.2%) and pH (r<sup>2</sup>=86.35%), while the total phosphorus (r<sup>2</sup>=70.55%) and nitrates (r<sup>2</sup>=55.50%) resulted in lower correlation rates.

scholarly journals Remote sensing supports the definition of the water quality status of Lake Omodeo (Italy)

2012 ◽  
Vol 45 (1) ◽  
pp. 349-360 ◽  
Author(s):  
Mariano Bresciani ◽  
Micol Vascellari ◽  
Claudia Giardino ◽  
Erica Matta
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Water Quality Status ◽  
Definition Of ◽  
Quality Status

scholarly journals Evaluation of RapidEye-3 Satellite Data for Assessing Water Turbidity of Lake Borabey

Proceedings ◽  
2019 ◽  
Vol 48 (1) ◽  
pp. 14
Author(s):  
Gordana Kaplan ◽  
Zehra Yigit Avdan ◽  
Serdar Goncu ◽  
Ugur Avdan
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
High Resolution ◽  
Remote Sensing Data ◽  
Quality Parameters ◽  
In Situ Measurements ◽  
Water Quality Parameters ◽  
Water Turbidity ◽  
Sensing Data

In water resources management, remote sensing data and techniques are essential in watershed characterization and monitoring, especially when no data are available. Water quality is usually assessed through in-situ measurements that require high cost and time. Water quality parameters help in decision making regarding the further use of water-based on its quality. Turbidity is an important water quality parameter and an indicator of water pollution. In the past few decades, remote sensing has been widely used in water quality research. In this study, we compare turbidity parameters retrieved from a high-resolution image with in-situ measurements collected from Borabey Lake, Turkey. Here, the use of RapidEye-3 images (5 m-resolution) allows for detailed assessment of spatio-temporal evaluation of turbidity, through the normalized difference turbidity index (NDTI). The turbidity results were then compared with data from 21 in-situ measurements collected in the same period. The actual water turbidity measurements showed high correlation with the estimated NDTI mean values with an R2 of 0.84. The research findings support the use of remote sensing data of RadipEye-3 to estimate water quality parameters in small water areas. For future studies, we recommend investigating different water quality parameters using high-resolution remote sensing data.

scholarly journals Water quality status of an urban lake in the dry season from 2017 to 2020 (Situ Gintung, Banten Province, Indonesia)

2020 ◽  
Vol 211 ◽  
pp. 03008
Author(s):  
Sinta Ramadhania Putri Maresi ◽  
Tri Edhi Budhi Soesilo ◽  
Ami Aminah Meutia
Keyword(s):  
Water Quality ◽  
Sampling Method ◽  
Anthropogenic Activities ◽  
General Information ◽  
Dry Season ◽  
Domestic Waste ◽  
Water Quality Status ◽  
Quality Status

Urban lakes are experiencing various kinds of problems because of the anthropocentrism of environmental management. This also happens in Situ Gintung, Indonesia. This lake is polluted by many pollutants from urban activities, such as the entry of domestic waste into waters due to anthropogenic activities and the amount of leftover food not consumed by fisheries. These problems can be solved by observing the water quality of Situ Gintung to provide information about parameters that have exceeded environmental quality standards and provide general information about the water quality in the dry season from 2017 to 2020. The research is done using a purposive sampling method and determining water quality status with the STORET method based on the Indonesian standard with parameters less than ten. As a result, Situ Gintung water is neither classified as class I, II, III, and IV nor be utilized for consumption, recreation, fisheries, and irrigation because the quality status is mostly in the heavily polluted category. Furthermore, the three highest polluters from each class are BOD5, COD, and a total of Coliform.

scholarly journals Study on Marine Water Quality Parameters in Keluang Kecil River Estuary at Bukit Keluang, Terengganu

2021 ◽  
Vol 12 (1S) ◽  
pp. 140-149
Author(s):  
Nur Adiela Mohd Nasir ◽  
Nadzifah Yaakub
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
River Estuary ◽  
Quality Parameters ◽  
Marine Water ◽  
Water Quality Status ◽  
River Estuarine ◽  
Quality Status

This study presents marine water quality status of river estuarine in Keluang Kecil River Estuary at Bukit Keluang. River estuarine water is classified in Class E in MWQI. In the subsequent MWQI with 0 to 100 scales, marine water quality at 0 will be described as “Poor” and 100 as “Excellent”. This study aims to determine water quality parameters and the water quality status of river estuarine by using Malaysia Marine Water Quality Index (MMWQI). In-situ and ex-situ analyses in this study were conducted for five sampling points that had been selected in the Keluang Kecil river estuary. In-situ parameters, dissolved oxygen (DO), pH, temperature, salinity and ammonia, were measured using YSI Professional Plus Series Multi-parameter during sampling. At the same time, water samples for total suspended solids, phosphate, nitrate and faecal coliform were collected and analysed in the laboratory using a standard procedure based on American Public Health Association (APHA), 2017 and HACH methods and then were compared with the Malaysia Marine Water Quality Standard (MMWQS). The average value of ammonia, nitrate, phosphate and TSS were not within the acceptable limit or standard value set by Department of Environment (DOE) except for dissolved oxygen and faecal coliform. Based on the one-way analysis of variance (ANOVA) result, there are significant differences (P < 0.05) in DO, pH, temperature, salinity, ammonia, TSS and FC in water between stations except for nitrate and phosphate. Marine Water Quality Index (MWQI) was measured for all the sampling stations (S1, S2, S3, S4 and S5) using a formula set by DOE (2019). The mean of MWQI for the Keluang Kecil river estuary measured was 43.45. Thus, the river estuary is classified as Poor (0 – 49). This study can maintain the marine water quality to conserve estuary biodiversity. This study was needed to prevent the possibility of water pollution and water quality can be monitored in that area in the future. The understanding of this study about water quality is to maintain the water quality and facilitate the management as actions can be taken by local authorities and other government agencies to maintain and improve the water quality and create boundaries and regulations that can bring back nature.

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