scholarly journals Integrated satellite data fusion and mining for monitoring lake water quality status of the Albufera de Valencia in Spain

2015 ◽  
Vol 151 ◽  
pp. 416-426 ◽  
Author(s):  
Carolina Doña ◽  
Ni-Bin Chang ◽  
Vicente Caselles ◽  
Juan M. Sánchez ◽  
Antonio Camacho ◽  
...  
Keyword(s):  
Water Quality ◽  
Data Fusion ◽  
Satellite Data ◽  
Lake Water ◽  
Lake Water Quality ◽  
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.

Improvement of Lake Water Quality by using Moving Rapid Water Treatment System

2018 ◽  
Vol 18 (1) ◽  
pp. 107-115 ◽  
Author(s):  
Kwang-Hee Lee ◽  
◽  
Min-Ho Kim ◽  
Nam-Woo An ◽  
Chul-hwi Park
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Lake Water ◽  
Treatment System ◽  
Lake Water Quality ◽  
Water Treatment System

Water Quality Status of Mula-Mutha River

2012 ◽  
Vol 3 (4) ◽  
pp. 75-77
Author(s):  
Prof. A.B. More Prof. A.B. More ◽  
◽  
Prof. C.S. Chavan Prof. C.S. Chavan ◽  
Ajoy Gurung ◽  
Pramod Sarwade ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Status ◽  
Quality Status

EVALUASI KUALITAS PERAIRAN DALAM PEMBENIHAN IKAN KERAPU TIKUS (Cromileptis altivelis) Di HATCHERY PERAIRAN TANJUNG RIAU BATAM

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Ratu Siti Aliah
Keyword(s):  
Water Quality ◽  
Water Supply ◽  
Good Condition ◽  
Brood Stock ◽  
Water Storage Tank ◽  
Water Quality Status ◽  
Set Up ◽  
Normal Status ◽  
Tank Water ◽  
Quality Status

An evaluation of the water quality at the hatchery of Tanjung Riau was conducted to understand the water quality status at the several place of the hatchery unit such as brood stock tanks, larva rearing tank, water storage tank, fi ngerling tank as well as the source of the water supply. The water quality status of Tanjung Riau generally is in a good condition to support the hatchery activities, but for turbidity and salinity were in the exceed and below the normal status and its infl uence on the spawning activity. To overcome the problem on the spawning of the brood stock, the improving of water supply with higher salinity and low turbidity should be set up to ensure the succeeded of the spawning.Key words : Water quality, grouper brood stock, hatchery,Tanjung Riau Batam

Water quality status of rivers in the coastal city of Manado, North Sulawesi Province, Indonesia

2014 ◽  
pp. 8
Author(s):  
Markus T Lasut ◽  
Adianse Tarigan
Keyword(s):  
Escherichia Coli ◽  
Water Quality ◽  
Government Regulation ◽  
Organic N ◽  
Coastal City ◽  
North Sulawesi ◽  
The Status ◽  
Water Quality Status ◽  
The Government ◽  
Quality Status

A study on water quality status of three riverine systems, S. Bailang (SB), S. Maasing (SM), and S. Tondano (ST), in coastal city of Manado, North Sulawesi Province, has been conducted to measure several water quality parameters, to analyse source and quality of wastewater discharge, and to assess the status of the rivers related to the water quality. Measurement of the parameters was conducted using three indicators, i.e. organic (BOD5) and in-organic (N-NO3 and P-PO4), and pathogenic microorganism (Escherichia coli [EC] and total coliform [TC]). The result showed that the level of water quality varied between the rivers. The average level of water quality (based on the observed parameters) in SB, respectively, was 0.317 mg/l, 0.093 mg/l, 2 mg/l, >2420 MPN, and  >2420 MPN; in SM, respectively, was 0.029 mg/l, 1.859 mg/l, 17.7 mg/l, >2420 MPN, and >2420 MPN; and in ST, respectively, was 0.299 mg/l, 0.252 mg/l, 3.5 mg/l, >2420 MPN, and >2420 MPN. The level of water quality between the rivers was not significantly different (p>0.05), except based on the parameter of N-NO3 which was significantly different (p<0.01). The status of the observed rivers varied based on the classes of their water utilities (according to the Government Regulation of Indonesia, No. 82, 2001); mostly was "unsuitable". Kajian tentang status kualitas air di 3 perairan sungai di kota pesisir Manado, S. Bailang (SB), S. Maasing (SM), dan S. Tondano (ST), Provinsi Sulawesi Utara, telah dilakukan yang bertujuan untuk mengukur beberapa parameter kualitas air, menganalisis sumber dan kualitas buangan limbah domestik, dan menilai status ketiga perairan sungai tersebut. Tiga indikator digunakan, yaitu: bahan organik (BOD5), bahan anorganik (N-NO3 dan P-PO4), dan mikroorganisme patogenik (Escherichia coli [EC] dan coliform total [TC]). Hasil kajian menunjukkan bahwa tingkat kualitas air perairan tersebut berbeda-beda. Konsentrasi rerata parameter kualitas air  (BOD5, N-NO3, P-PO4, EC, dan TC) di SB, berturut-turut, sebesar 0.317 mg/l, 0.093 mg/l, 2 mg/l, >2420 MPN, dan >2420 MPN; di SM, berturut-turut, sebesar 0.029 mg/l, 1.859 mg/l, 17.7 mg/l, >2420 MPN, dan >2420 MPN; dan di ST, berturut-turut, sebesar 0.299 mg/l, 0.252 mg/l, 3.5 mg/l, >2420 MPN, dan >2420 MPN. Konsentrasi kualitas air ketiga sungai tersebut tidak berbeda secara signifikan (p>0.05), kecuali parameter N-NO3 (p<0.01). Secara umum, kondisi kualitas air ketiga sungai tersebut, menurut Peraturan Pemerintah No. 82, 2001) berada dalam status “tidak cocok” untuk peruntukannya.

A modeling approach to simulate impact of climate change in lake water quality: phytoplankton growth rate assessment

1998 ◽  
Vol 37 (2) ◽  
pp. 177-185 ◽  
Author(s):  
Hany Hassan ◽  
Keisuke Hanaki ◽  
Tomonori Matsuo
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Growth Rate ◽  
Dissolved Oxygen ◽  
Lake Water ◽  
Phytoplankton Growth ◽  
Quality Data ◽  
Model Parameters ◽  
Lake Water Quality ◽  
Phytoplankton Growth Rate

Global climate change induced by increased concentrations of greenhouse gases (especially CO2) is expected to include changes in precipitation, wind speed, incoming solar radiation, and air temperature. These major climate variables directly influence water quality in lakes by altering changes in flow and water temperature balance. High concentration of nutrient enrichment and expected variability of climate can lead to periodic phytoplankton blooms and an alteration of the neutral trophic balance. As a result, dissolved oxygen levels, with low concentrations, can fluctuate widely and algal productivity may reach critical levels. In this work, we will present: 1) recent results of GCMs climate scenarios downscaling project that was held at the University of Derby, UK.; 2) current/future comparative results of a new mathematical lake eutrophication model (LEM) in which output of phytoplankton growth rate and dissolved oxygen will be presented for Suwa lake in Japan as a case study. The model parameters were calibrated for the period of 1973–1983 and validated for the period of 1983–1993. Meterologic, hydrologic, and lake water quality data of 1990 were selected for the assessment analysis. Statistical relationships between seven daily meteorological time series and three airflow indices were used as a means for downscaling daily outputs of Hadley Centre Climate Model (HadCM2SUL) to the station sub-grid scale.

Winter Precipitation and Summer Temperature Predict Lake Water Quality at Macroscales

2019 ◽  
Vol 55 (4) ◽  
pp. 2708-2721 ◽  
Author(s):  
S. M. Collins ◽  
S. Yuan ◽  
P. N. Tan ◽  
S. K. Oliver ◽  
J. F. Lapierre ◽  
...  
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Winter Precipitation ◽  
Summer Temperature ◽  
Lake Water Quality

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.  

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