scholarly journals Using Landsat 8 Imagery for Remote Monitoring of Total Phosphorus as a Water Quality Parameter of Irrigation Ponds in Taiwan

2021 ◽  
Author(s):  
Po-Wen Su ◽  
Shang-Lien Lo
Keyword(s):  
Water Quality ◽  
Multiple Regression ◽  
Total Phosphorus ◽  
Satellite Imagery ◽  
Power Plants ◽  
Quality Data ◽  
Water Quality Parameter ◽  
Landsat 8 ◽  
Water Quality Data ◽  
Selection Of Variables

Abstract Monitoring water body quality parameters with high spatial and temporal resolutions is crucial because mitigation of pollution is usually costlier than early prevention/intervention. The existing monitoring methods for irrigation ponds in Taoyuan, Taiwan, are based on field measurements that have low spatial and temporal resolutions. In this study, using Landsat 8 satellite imagery, a multiple regression-derived relationship between the satellite band reflectance and the concentration of total phosphorus (TP) was established. The satellite imagery was atmospherically corrected with ACOLITE based on shortwave infrared (SWIR) bands. This method was used to select predictor variables in the multiple regression-derived equation based on forward selection of variables using a p-value and variation inflation factor (VIF) threshold. The derived equation yielded a coefficient of determination (R2) of 0.67. The near-infrared band (band 5) was found to be most significant. The Landsat 8 imagery retrieved for two of the three pond studies included only a few pixels from the ponds because parts of the pond surfaces are covered by floating photovoltaic power plants. The TP concentrations resulting from the derived equation indicate the feasibility of using satellite remote sensing methods to monitor the water quality. The derived relationships are potentially applicable to extend the availability of temporal and spatial water quality data for these irrigation ponds.

Pemodelan Sistem Informasi Geografis untuk Pemetaan Kesesuaian Wilayah Perairan dan Pesisir Selat Madura

Rekayasa ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 17-25
Author(s):  
Zainul Hidayah ◽  
Dwi Budi Wiyanto
Keyword(s):  
Water Quality ◽  
Satellite Imagery ◽  
Spatial Data ◽  
Quality Parameters ◽  
Coastal Areas ◽  
Quality Data ◽  
Physical Parameters ◽  
Landsat 8 ◽  
Water Quality Data ◽  
Gis Modeling

The coastal area of the Madura Strait stretches from Surabaya City to the east to Situbondo Regency and includes the southern part of Madura Island. The aim of this research is to map the suitability of the waters and coastal areas of the Madura Strait using GIS modeling. Mapping of the designation of the waters and coastal areas of the Madura Strait was carried out by overlaying spatial data covering bio-physical parameters including water transparency, pH, water substrate, temperature, salinity, and depth. The designation of water areas is divided into three classes, namely capture fisheries, tourism and conservation purposes. The spatial data used comes from several sources, namely the results of water quality surveys, Landsat 8 satellite imagery, bathymetry data / sea depth and Rupa Bumi Indonesia (RBI) maps at a scale of 1: 25,000. For water quality data comes from the results of a survey by the Marine and Fisheries Service of East Java Province in 2019 at 78 observation points in the waters of the Madura Strait. Water quality parameters used in GIS modeling are pH, salinity, brightness and temperature. The data for each observation point were then interpolated using the Kringing method. Landsat 8 satellite imagery is used to map the condition of the bottom substrate waters. Meanwhile, the depth data was downloaded from GEBCO (General Bathymetric Charts of the Oceans). The result of overlaying thematic maps shows that 37.69% (8586.69 km2) of the area of the Madura Strait is suitable for capture fisheries activities, then 10.28% (2341.02 km2) is suitable for marine tourism areas and 19.06 % (4343.4 km2) suitable for conservation areas. Meanwhile, 32.97% (7511.94 km2) can be used as conservation and tourism areas.

scholarly journals OPTMIZATION OF BIO-OPTICAL MODEL PARAMETERS FOR TURBID LAKE WATER QUALITY ESTIMATION USING LANDSAT 8 AND WASI-2D

2020 ◽  
Vol XLII-3/W11 ◽  
pp. 67-72
Author(s):  
A. Manuel ◽  
A. C. Blanco ◽  
A. M. Tamondong ◽  
R. Jalbuena ◽  
O. Cabrera ◽  
...  
Keyword(s):  
Water Quality ◽  
Chlorophyll A ◽  
The Philippines ◽  
Quality Data ◽  
Model Parameters ◽  
Landsat 8 ◽  
Water Quality Data ◽  
Chlorophyll A Concentration ◽  
In Situ Data

Abstract. Laguna Lake, the Philippines’ largest freshwater lake, has always been historically, economically, and ecologically significant to the people living near it. However, as it lies at the center of urban development in Metro Manila, it suffers from water quality degradation. Water quality sampling by current field methods is not enough to assess the spatial and temporal variations of water quality in the lake. Regular water quality monitoring is advised, and remote sensing addresses the need for a synchronized and frequent observation and provides an efficient way to obtain bio-optical water quality parameters. Optimization of bio-optical models is done as local parameters change regionally and seasonally, thus requiring calibration. Field spectral measurements and in-situ water quality data taken during simultaneous satellite overpass were used to calibrate the bio-optical modelling tool WASI-2D to get estimates of chlorophyll-a concentration from the corresponding Landsat-8 images. The initial output values for chlorophyll-a concentration, which ranges from 10–40 μg/L, has an RMSE of up to 10 μg/L when compared with in situ data. Further refinements in the initial and constant parameters of the model resulted in an improved chlorophyll-a concentration retrieval from the Landsat-8 images. The outputs provided a chlorophyll-a concentration range from 5–12 μg/L, well within the usual range of measured values in the lake, with an RMSE of 2.28 μg/L compared to in situ data.

scholarly journals THE POTENCY OF LUBUK LARANGAN JORONG IKAN BANYAK AS LOCAL WISDOM BASED ECOTOURISM AREA

2019 ◽  
Vol 47 (2) ◽  
pp. 176
Author(s):  
Fiona Novianti ◽  
Muhammad Fauzi ◽  
Adriman Adriman
Keyword(s):  
Water Quality ◽  
Data Collection ◽  
Quality Parameter ◽  
Environmental Data ◽  
Quality Data ◽  
Water Quality Parameter ◽  
Survey Method ◽  
Water Quality Data ◽  
Tourism Potential ◽  
Parameter Values

This study  aims to understand the local wisdom and the feasibility of the area as an ecological tourism object has been carried out from February to March 2018. The method used in this study is the survey method. Water quality data collection was carried out four times (once/two weeks), while questionnaires were distributed prior to environmental data collection. Water samples were taken from three stations, while local wisdom data were collected through questionnaires. Results shown that the community used to maintain the Jorong Ikan Banyak ecosystem by applying regulations for fish capture. Water quality parameter values of the Lubuk Larangan are as follows : temperature was 22.5-230c; water depth was 71.75-120.25 cm; current speed  was 0.25-0.42 m/s; dissolved oxygen was 4.6-4.8 mg/l and pH was 6. The tourism potential element scores of the Lubuk Larangan were as follows:  Attractiveness 1,095; Accessibility 537.5; Accommodations 45 and Facilities 240, total score  1,917.5. This score indicates that the Lubuk Larangan Jorong Ikan Banyak  is suitable for tourism object.

Analysis of Water Quality of Lake Hachiroko in Japan Using a Fuzzy Multiple Regression Model with ALOS AVNIR-2 Data

2016 ◽  
Vol 20 (6) ◽  
pp. 992-1003 ◽  
Author(s):  
Dejian Wang ◽  
◽  
Yoichi Kageyama ◽  
Makoto Nishida ◽  
Hikaru Shirai ◽  
...  
Keyword(s):  
Water Quality ◽  
Regression Model ◽  
Multiple Regression ◽  
Near Infrared ◽  
Multiple Regression Model ◽  
Fuzzy Regression ◽  
Quality Data ◽  
Water Quality Data ◽  
Using Data

The distribution of water pollution is often assessed by remote sensing. In this study, we develop a fuzzy multiple regression model and analyze water quality using data collected by the Advanced Visible and Near Infrared Radiometer type-2 (AVNIR-2) of the Advanced Land Observing Satellite at different time points. We conduct a fuzzy multiple regression analysis of the AVNIR-2 data and direct measurements of the local water quality of Lake Hachiroko in Japan. The relationship between the AVNIR-2 and water quality data are analyzed by solving both min and max problems. We compare the estimated water quality maps with the actual distributions in the study area, and determine that the proposed method enables us to derive water quality conditions effectively from the AVNIR-2 data. Furthermore, by comparing maps created using AVNIR-2 data collected at different times, we obtain results revealing temporal changes in water quality. In addition, we compare maps created using the fuzzy multiple regression and fuzzy regression models. We demonstrate that the former offers a greater number of solutions and provides more details about water quality.

scholarly journals A Spatiotemporal Analysis of Water Quality and Land Use in Tambayakbayan River, Yogyakarta

2021 ◽  
Vol 933 (1) ◽  
pp. 012045
Author(s):  
A Putri ◽  
R Jana ◽  
A S Florensia ◽  
A A Asmara ◽  
A Yulianto ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Pearson Correlation ◽  
Image Data ◽  
Spatiotemporal Analysis ◽  
Quality Data ◽  
Landsat 8 ◽  
Water Quality Data ◽  
High Population Growth

Abstract The Special Region of Yogyakarta is one of the areas that experienced a fairly high population growth rate and is directly proportional to the rate of development which has an impact on land use, especially in Tambakbayan watershed. This study aims to identify the types of land use that affected water quality of the Tambakbayan River using spatiotemporal analysis and Pearson correlation methods. Land use in Tambakbayan watershed is divided into three segments which are vegetation (VA), agriculture (AG), and building (BU). This study used water quality data from the Environmental Agency of Yogyakarta Province which consists of 14 parameters, i.e., pH, TDS, TSS, DO, BOD, COD, nitrate, nitrite, total phosphate, Zn, Cu, Pb, E. coli, and total coli. Landsat 8 image data from 2013 to 2020 is used from USGS. The result of this study found that vegetation has no correlation on Tambakbayan River water quality. However, agriculture and building areas significantly affected the decreasing water quality of the Tambakbayan River.

scholarly journals Multistate Evaluation of an Ultrafiltration-Based Procedure for Simultaneous Recovery of Enteric Microbes in 100-Liter Tap Water Samples

2007 ◽  
Vol 73 (13) ◽  
pp. 4218-4225 ◽  
Author(s):  
Vincent R. Hill ◽  
Amy M. Kahler ◽  
Narayanan Jothikumar ◽  
Trisha B. Johnson ◽  
Donghyun Hahn ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Samples ◽  
Tap Water ◽  
The United States ◽  
Size Exclusion ◽  
Quality Data ◽  
Water Quality Parameter ◽  
Rt Pcr ◽  
Water Quality Data ◽  
Small Pore

ABSTRACT Ultrafiltration (UF) is increasingly being recognized as a potentially effective procedure for concentrating and recovering microbes from large volumes of water and treated wastewater. Because of their very small pore sizes, UF membranes are capable of simultaneously concentrating viruses, bacteria, and parasites based on size exclusion. In this study, a UF-based water sampling procedure was used to simultaneously recover representatives of these three microbial classes seeded into 100-liter samples of tap water collected from eight cities covering six hydrologic areas of the United States. The UF-based procedure included hollow-fiber UF as the primary step for concentrating microbes and then used membrane filtration for bacterial culture assays, immunomagnetic separation for parasite recovery and quantification, and centrifugal UF for secondary concentration of viruses. Water samples were tested for nine water quality parameters to investigate whether water quality data correlated with measured recovery efficiencies and molecular detection levels. Average total method recovery efficiencies were 71, 97, 120, 110, and 91% for φX174 bacteriophage, MS2 bacteriophage, Enterococcus faecalis, Clostridium perfringens spores, and Cryptosporidium parvum oocysts, respectively. Real-time PCR and reverse transcription-PCR (RT-PCR) for seeded microbes and controls indicated that tap water quality could affect the analytical performance of molecular amplification assays, although no specific water quality parameter was found to correlate with reduced PCR or RT-PCR performance.

scholarly journals THE POTENCY OF LUBUK LARANGAN JORONG LANDAI AS LOCAL WISDOM BASED ECOTOURISM AREA

2019 ◽  
Vol 47 (2) ◽  
pp. 151
Author(s):  
Netri Rosnita ◽  
Muhammad Fauzi ◽  
Adriman Adriman
Keyword(s):  
Water Quality ◽  
Data Collection ◽  
Economic Condition ◽  
Quality Parameter ◽  
Environmental Data ◽  
Quality Data ◽  
Water Quality Parameter ◽  
Water Quality Data ◽  
The Social ◽  
Ecological Tourism

This study aimed to understand the local wisdom and the feasibility of the area as an ecological tourism object. The research has been carried out from February to April 2018. Water quality data collection was carried out four times (once/two weeks), while interviews and questionnaires were distributed prior to environmental data collection. Water samples were taken from three stations, while local wisdom and ecotourism data were collected through the interview and questionnaires. The results showed that the shown that the community used to maintains the Jorong Landai ecosystem by applying regulations for fish capture and fish harvesting system. The water quality parameter in the Lubuk Larangan was as follows: the temperature was 21-22 0C, the current speed was 0.04-0.5 m/s,  water depth was 44-82 cm, dissolved oxygen was 4.46-5.78 Mg/L and pH was 6. The value ecotourism of the feasibility index was as follows: attractiveness was 945, accessibility was 587.5, the social-economic condition was 462.5, accommodation was 0, infrastructure was 180 and the availability of clean water was 870 (total value was 3,045). This value indicates that the Lubuk Larangan Jorong Landai can be categorized as appropriate for ecotourism object.

scholarly journals Design and Implementation of Wireless Sensors and Android Based Application for Highly Efficient Aquaculture Management System

2020 ◽  
pp. 355-371
Author(s):  
Goib Wiranto ◽  
Dayat Kurniawan ◽  
Yudi Maulana ◽  
I Dewa Putu Hermida ◽  
David Oktaviandi
Keyword(s):  
Water Quality ◽  
Wireless Sensors ◽  
Quality Data ◽  
Shrimp Aquaculture ◽  
Monitoring Station ◽  
Water Quality Parameter ◽  
Measured Parameter ◽  
Water Quality Data ◽  
Electricity Cost ◽  
Highly Efficient

The main problems in the practice of traditional shrimp aquaculture are related with maintaining good water quality and reducing high operational cost. In this paper it will be described the application of wireless sensors and Android based application as mobile monitoring tool in achieving highly efficient shrimp aquaculture monitoring system. A set of four water quality parameter sensors (pH, temperature, conductivity and DO) were submerged into the pond using a buoy, in which an electronics and Xbee wireless transmitter have been installed to transmit the measured data into a fixed monitoring station. The main component of the fixed monitoring station was a smart data logger capable of performing automatic aeration system. Data transmission from the monitoring station to the master station was done through GSM/GPRS module of a Raspberry microcontroller. Using internet connection, a web based server has been developed from which the Android based application retrieved the measured parameter data. Graphical analysis of water quality data can be performed from a mobile phone, allowing users to monitor the aquaculture regardless of their geographical location. This system has been implemented in a shrimp aquaculture in Bangka island, Indonesia. In addition to giving real-time water quality data, the system was able to reduce the operational electricity cost because of the automatic aeration feature. Consistenly, the system has been sending the measurement data to the web server, which is accessible using Android mobile phones worldwide.

Stochastic structures between quantity and quality responses of rainfall-runoff at an upland agricultural watershed

2001 ◽  
Vol 44 (7) ◽  
pp. 91-104 ◽  
Author(s):  
S. H. Kim ◽  
J. W. Delleur
Keyword(s):  
Water Quality ◽  
Time Series ◽  
Stochastic Structure ◽  
Agricultural Watershed ◽  
Quality Data ◽  
Water Quality Parameter ◽  
Rainfall Runoff ◽  
Runoff Simulation ◽  
Water Quality Data ◽  
Transport Pathways

The causality between hydrologic parameters and water quality variations has been studied for a small upland agricultural watershed using a time-series analysis approach. The stage at the outlet of the watershed, which is a proxy for the outflow, and the average saturation deficit, which is a surrogate for the groundwater level, were used as hydrologic variables. The stages were measured at a triangular weir at the watershed outlet. The saturation deficits were obtained by means of a rainfall-runoff simulation model for agricultural upland watersheds (an extended version of TOPMODEL). Sequential water quality data were also collected at the watershed outlet. A systematic procedure for testing the causality between the hydrologic and water quality time-series is presented and used to investigate possible relationships between the two systems. The stochastic structure of a causality between hydrologic and water quality systems is shown. This stochastic structure is associated not only with the transport pathways (surface or subsurface) of each water quality parameter but also with the characteristics of the rainfall events.

Formulation and Testing of a New Water Quality Index

1977 ◽  
Vol 12 (1) ◽  
pp. 101-120
Author(s):  
B. Ibbotson ◽  
B.J. Adams
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Management ◽  
Quality Data ◽  
Water Quality Parameter ◽  
Expert Assessment ◽  
Specific Situation ◽  
Water Quality Data ◽  
Environmental Indices

Abstract The necessity of protecting our environment has promoted the development of new ways to communicate environmental information to both policy makers and the general public. In response to an increased interest in environmental indices, this paper forwards a new formulation which translates water quality parameter values into simple numerical results which can then be summed to give water quality index scores. The mechanism uses the matrix format to organize and display results with water quality parameters on one axis and common water activities on the other. The mechanism's task is then to assess the suitability of each parameter to each activity, and subsequently, to render the results into simple scores. The index can be applied to any situation in which water quality is a consideration. Its applicability lies in its offering to the perspective user the opportunity to calibrate the index to the needs of a specific situation. The procedure offers a systematic approach that is highly flexible and that generates results which are easily understood. The principal reasons for developing this index mechanism are to enable presentation of a simplified measure of water quality and to augment expert assessment of raw water quality data, not to supplant this important aspect of water quality management.

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