scholarly journals PREDIKSI CEPAT KUALITAS AIR MENGGUNAKAN LPAS (LASER PHOTO-ACOUSTIC SPECTROSCOPY) DENGAN MENERAPKAN METODE KOREKSI CUTTING EDGE FILTERING

2021 ◽  
Vol 10 (2) ◽  
pp. 220
Author(s):  
Ichwana Ramli ◽  
Agus Arip Munawar ◽  
Khairul Abdi Ruslana
Keyword(s):  
Water Quality ◽  
Regression Model ◽  
Water Samples ◽  
Correction Method ◽  
Partial Least Square ◽  
Cutting Edge ◽  
Acoustic Spectroscopy ◽  
Photo Acoustic Spectroscopy ◽  
Banda Aceh ◽  
Spectrum Data

A tool that can predict water quality by capturing sound vibrations generated by collisions between water samples and light is LPAS (Laser Photo-Acoustic Spectroscopy). To process the data acquired by LPAS, spectrum correction is needed to eliminate data errors when making acquisitions on water samples. The correction method used in this research is the cutting edge filtering correction method. The regression model that can be used is the PLSR (Partial Least Square Regression) regression model. This research was conducted in the Instrumentation and Energy Laboratory, Agricultural Engineering Study Program, Faculty of Agriculture, Syiah Kuala University. Water sample analysis was carried out at the Laboratory of the Industrial Research and Standardization Center (BARISTAND) Banda Aceh. This study used 4 monitoring wells within the TPA (Final Disposal Site) and 4 samples were taken from community wells outside the scope of TPA Gampong Jawa, Banda Aceh City. The results of this study indicate the parameters (temperature, turbidity, Ph, TSS, DO, BOD and Nitrate) are predicted to be in the frequency range 4000 - 10,000 cm-1. Raw spectrum data for pH and Nitrate (NO3-) parameters produce better data than the spectrum data for cutting edge filtering correction methods while cutting edge filtering spectrum data for temperature, turbidity, TSS, DO and BOD-5 parameters are better than spectrum raw data. This study also shows that the cutting edge filtering correction method is able to cut boundaries and compress the spectrum so that it can provide data limits on the spectrum so that the PLSR method can be applied to predict water quality. Keywords: water quality; Laser Photo-Acoustic Spectroscopy, correction method, regression method

scholarly journals Deteksi Kualitas Air Sumur Masyarakat Akibat Penumpukan Limbah di Sekitar Tempat Pembuangan Akhir Menggunakan Laser Photo-Acoustics Spectroscopy di Gampong Jawa Kecamatan Kuta Raja Banda Aceh

2018 ◽  
Vol 3 (4) ◽  
pp. 869-878
Author(s):  
Khairul Abdi Ruslana ◽  
Ichwana Ichwana ◽  
Agus Arip Munawar
Keyword(s):  
Water Quality ◽  
Wavelength Range ◽  
Correction Method ◽  
Cutting Edge ◽  
Disposal Site ◽  
Well Water ◽  
Final Disposal ◽  
R Value ◽  
Banda Aceh

Abstrak. Dalam menguji kualitas air di Laboratorium biasanya memerlukan biaya yang mahal dan waktu yang lama. Laser Photo-Acoustics Spectroscopy adalah salah satu metode terbaru untuk uji cepat kualitas air. Tujuan dari penelitian ini adalah untuk menguji keakuratan laser fotoakustik sebagai metode baru yang cepat, efektif, dan efisien dalam mendeteksi kualitas air sumur masyarakat akibat penumpukan limbah di sekitar Tempat Pembuangan Akhir di Gampong Jawa Kecamatan Kuta Raja Banda Aceh dengan menggunakan Laser Fotoakustik. Hasil penelitian ini menunjukkan panjang gelombang relevan untuk prediksi kualitas air sumur menggunakan rentang panjang gelombang 4000 – 10000 cm-1 dimana parameter suhu, kekeruhan, TSS, pH, DO, BOD-5 dan nitrat (NO3-) berada pada rentang panjang gelombang tersebut. Metode koreksi spektrum yang paling baik digunakan untuk prediksi suhu, kekeruhan, TSS dan DO ialah metode koreksi cutting edge filtering, prediksi pH dan NO3- paling baik menggunakan data raw spektrum sementara prediksi BOD-5 paling baik mengggunakan metode koreksi peak normalization. Pada data raw spektrum nilai r berkisar pada 0.8349537 - 0.9926958, nilai RMSEC berkisar pada 0.0387916 - 3.7519751, nilai R2 0.6971 - 0.9854453, nilai RPD 1.942375418 - 6.949700451. Pada metode koreksi peak normalization nilai r berkisar pada 0.8151091 - 0.9910417, nilai RMSEC 0.0447571 - 5.7055745, nilai R2 0.65995 - 0.98216, nilai RPD 1.833200928 - 6.668034607. Pada metode koreksi cutting edge filtering nilai r berkisar 0.882751 - 0.9980677, nilai RMSEC 0.0410234 - 1.9323903, nilai R2 0.76829 - 0.9961392, nilai RPD 2.22078388 - 17.20520953.Detection of Water Quality of Wells of Communities Due to Waste Accumulation Around Final Disposal Site Using Photoacoustics Laser in Gampong Jawa Kecamatan Kuta Raja Banda AcehAbstract. In testing the quality of water in the Laboratory usually requires a high cost and a long time.  The Photo-Acoustics Spectroscopy Laser is one of the newest methods for rapid water quality testing. The purpose of this research is to test the accuracy of photoacoustic laser as a new method that quickly, effectively and efficiently in detecting the quality of well water of society due to the accumulation of waste around the Final Disposal Site in Gampong Jawa, Kuta Raja Raja sub-district by using Laser Fotoakustik. The results of this study show the relevant Wavelength for well water quality prediction using the 4000 - 10000 cm - 1 wavelength range where the temperature, turbidity, TSS, pH, DO, BOD - 5 and nitrate (NO3 -) parameters are in the wavelength range. The best spectral correction methods used for prediction of temperature, turbidity, TSS and DO are cutting edge filtering correction methods, pH and NO3 predictions-best using raw spectrum data while BOD-5 predictions best use peak normalization correction methods. In raw data spectrum r value ranges from 0.8349537 - 0.9926958, RMSEC value ranges from 0.0387916 - 3.7519751, value R2 0.6971 - 0.9854453, RPD value 1.942375418 - 6.949700451. In peak correction method normalization r value ranges from 0.8151091 - 0.9910417, RMSEC value 0.0447571 - 5.7055745, value R2 0.65995 - 0.98216, RPD value 1.833200928 - 6.668034607. In correction method of cutting edge filtering r value ranges from 0.882751 - 0.9980677, RMSEC value 0.0410234 - 1.9323903, value R2 0.76829 - 0.9961392, RPD value 2.22078388 - 17.20520953.

scholarly journals Study Hybrid Teknologi Laser – Near Infrared Spectroscopy Untuk Identifikasi Unsur Hara Pada Lahan Gambut

2019 ◽  
Vol 4 (4) ◽  
pp. 492-501
Author(s):  
Endamin Endamin ◽  
Ichwana Ichwana ◽  
Agus Arip Munawar
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared ◽  
Scatter Correction ◽  
Reflectance Spectroscopy ◽  
Partial Least Square ◽  
Least Square ◽  
Near Infrared Reflectance ◽  
Acoustic Spectroscopy ◽  
Non Destructive ◽  
Photo Acoustic Spectroscopy

Abstrak. Lahan gambut terbentuk dari akumulasi sisa-sisa vegetasi yang sudah mengalami humifikasi tetapi belum mengalami mineralisasi. Berdasarkan data Balai Besar Penelitian dan Pengembangan Sumberdaya Lahan Pertanian (2011), lahan gambut di Aceh memiliki luas 216.000 Ha yang tersebar di beberapa kabupaten, salah satunya adalah Kabupaten Aceh Barat. Kondisi lahan gambut di Provinsi Aceh belum dimanfaatkan secara maksimal. Hal ini dikarenakan tidak adanya pengetahuan dan penanganan yang tepat terhadap pengelolaan lahan gambut agar tanaman dapat tumbuh dengan optimal. Semakin berkembangnya ilmu pengetahuan dan teknologi, informasi tentang kandungan unsur hara pada lahan gambut dapat diketahui dengan cepat. Salah satunya adalah pemanfaatan teknologi NDT (Non Destructive Test) yang pengujiannya dapat dilakukan tanpa harus merusak media ataupun objek yang ingin diketahui kandungan unsur haranya. Pengujian dengan NIRS (Near Infrared Reflectance Spectroscopy) merupakan salah satu metode non-destruktif seperti LPAS (Laser Photo Acoustic Spectroscopy) yang dapat digunakan untuk menganalisis dalam berbagai bidang, termasuk unsur hara tanah. Penggunaan laser sebagai sumber pencahayaan berfungsi untuk dapat menembus bahan dengan ketebalan lebih dari 1 cm. Spektrum transmisi laser diakuisisi dengan metode Partial Least Square (PLS). Metode ini menjadi alternatif dalam menganalisis unsur C-Organik, Nitrogen (N) dan Kalium (K) dari segi parameter kimia dalam lahan gambut tersebut sehingga unsur haranya dapat dideteksi dengan cepat dan tepat. Spektrum laser He-Ne untuk tanah didapatkan dengan menggunakan instrumen self developed infrared spectroscopy (FT-NIRS) dengan konfigurasi alur kerja alat (workflow) dibangun dengan menggunakan self modified Thermo Integration®. Spektrum transmisi laser He-Ne diakuisisi dengan metode pulsed excitation dengan wavenumber 5000 – 11000 . Koreksi dan perbaikan spektrum dilakukan dengan tujuan untuk menghilangkan noise pada spektrum akibat interferensi dan scattering photon, serta pengaruh over-heat. Metode yang digunakan adalah Deresolve dan Multiplicative Scatter Correction (MSC). Hybrid Study of Laser Technology - Near Infrared Spectroscopy for Identification of Nutrients in Peatlands Abstract. Peatlands are formed from accumulated remnants of vegetation that have undergone humification but have not experienced mineralization.  Based on data from the Center for Agricultural Land Research and Development (2011), peat land in Aceh has an area of 216,000 hectares spread across several districts, one of which is West Aceh District. The condition of peatlands in Aceh Province has not been fully utilized. This is because there is no knowledge and proper handling of peatland management so that the plants can grow optimally.  As science and technology develops, information about nutrient content in peatlands can be identified quickly. One of them is the use of NDT (Non Destructive Test) technology, which tests can be carried out without having to damage the media or objects that want to know the elemental content. Testing with NIRS (Near Infrared Reflectance Spectroscopy) is one of the non-destructive methods such as LPAS (Laser Photo Acoustic Spectroscopy) which can be used to analyze in various fields, such as soil nutrients. The use of lasers as a source of lighting functions to be able to penetrate materials with a thickness of more than 1 cm. The laser transmission spectrum was acquired by the Partial Least Square (PLS) method. This method is an alternative in analyzing C-Organic, Nitrogen (N) and Potassium (K) elements in terms of chemical parameters in the peat so that the elements can be detected quickly and precisely. The He-Ne laser spectrum for soil is obtained using the self developed infrared spectroscopy (FT-NIRS) instrument with workflow configurations built using self-modified Thermo Integration®. The He-Ne laser transmission spectrum was acquired by the pulsed excitation method with a wavenumber of 5000 - 11000 cm – 1. Spectrum correction and repairs are carried out with the aim of eliminating noise in the spectrum due to photon interference and scattering, and the effect of overheating. The method used is Deresolve and Multiplicative Scatter Correction (MSC).

Investigation of Some Water Quality Parameters of Pond Water under Mymensingh Municipality

2015 ◽  
Vol 8 (1) ◽  
pp. 85-89
Author(s):  
F Zannat ◽  
MA Ali ◽  
MA Sattar
Keyword(s):  
Water Quality ◽  
Water Samples ◽  
Chemical Properties ◽  
Pond Water ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Urban Region ◽  
Mn Toxicity ◽  
Ph Values ◽  
Drinking Water Standard

A study was conducted to evaluate the water quality parameters of pond water at Mymensingh Urban region. The water samples were collected from 30 ponds located at Mymensingh Urban Region during August to October 2010. The chemical analyses of water samples included pH, EC, Na, K, Ca, S, Mn and As were done by standard methods. The chemical properties in pond water were found pH 6.68 to 7.14, EC 227 to 700 ?Scm-1, Na 15.57 to 36.00 ppm, K 3.83 to 16.16 ppm, Ca 2.01 to 7.29 ppm, S 1.61 to 4.67 ppm, Mn 0.33 to 0.684 ppm and As 0.0011 to 0.0059 ppm. The pH values of water samples revealed that water samples were acidic to slightly alkaline in nature. The EC value revealed that water samples were medium salinity except one sample and also good for irrigation. According to drinking water standard Mn toxicity was detected in pond water. Considering Na, Ca and S ions pond water was safe for irrigation and aquaculture. In case of K ion, all the samples were suitable for irrigation but unsuitable for aquaculture.J. Environ. Sci. & Natural Resources, 8(1): 85-89 2015

Applying Bacteriological Parameters for Evaluating Underground Water Quality

1988 ◽  
Vol 20 (11-12) ◽  
pp. 425-428 ◽  
Author(s):  
H. T. El-Zanfaly ◽  
A. M. Shabaan
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Samples ◽  
Anaerobic Bacteria ◽  
Underground Water ◽  
Faecal Coliforms ◽  
Bacterial Pollution ◽  
Important Approach ◽  
Positive Results ◽  
Faecal Streptococci

A total of 111 water samples were drawn from 15 wells. These samples were subjected to bacteriological examinations to determine the suitability of the monitored wells as source for drinking water. Significant levels of bacterial pollution indicators were detected in the underground water samples during the period of study. Total bacterial counts ranged between 10-104CFU/ml. Faecal streptococci was the most common and detected in 9 6% of water samples. Lower percentages of samples (92, 55 and 45%) were contaminated with total coliforms, faecal coliforms and total clostridia, respectively. Faecal coliforms: faecal streptococci was less than 0.7 in 86% of the examined samples. Anaerobic bacteria were detected in the examined well water samples. Only 101 water samples were tested for anaerobic spore-formers and all showed positive results. Most examined wells do not meet the water quality standards for drinking water. Accordingly, the necessity of controllin bacterial pollution in ground-water through disinfection was clearly confirmed. Testing the underground water for more than one indicator represents an important approach for water quality assurance.

Pesticide Contamination of Groundwater in Virginia: BMP Impact Assessment

1993 ◽  
Vol 28 (3-5) ◽  
pp. 379-387 ◽  
Author(s):  
S. Mostaghimi ◽  
P. W. McClellan ◽  
R. A. Cooke
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Best Management Practices ◽  
Water Samples ◽  
Management Practices ◽  
Water Quality Monitoring ◽  
Pesticide Contamination ◽  
Cropping Patterns ◽  
Creek Watershed ◽  
Surface And Groundwater

The Nomini Creek Watershed/Water Quality monitoring project was initiated in 1985, as part of the Chesapeake Bay Agreement of 1983, to quantify the impacts of agricultural best management practices (BMPs) on improving water quality. The watershed monitoring system was designed to provide a comprehensive assessment of the quality of surface and groundwater as influenced by changes in land use, agronomic, and cultural practices in the watershed over the duration of the project. The primary chemical characteristics monitored include both soluble and sediment-bound nutrients and pesticides in surface and groundwater. Water samples from 8 monitoring wells located in agricultural areas in the watershed were analyzed for 22 pesticides. A total of 20 pesticides have been detected in water samples collected. Atrazine is the most frequently detected pesticide. Detected concentrations of atrazine ranged from 0.03 - 25.56 ppb and occurred in about 26 percent of the samples. Other pesticides were detected at frequencies ranging from 1.6 to 14.2 percent of all samples collected and concentrations between 0.01 and 41.89 ppb. The observed concentrations and spatial distributions of pesticide contamination of groundwater are compared to land use and cropping patterns. Results indicate that BMPs are quite effective in reducing pesticide concentrations in groundwater.

scholarly journals Spatial Variation of Water Chemistry in Aries River Catchment Western Romania

2021 ◽  
Vol 11 (14) ◽  
pp. 6592
Author(s):  
Ana Moldovan ◽  
Maria-Alexandra Hoaghia ◽  
Anamaria Iulia Török ◽  
Marius Roman ◽  
Ionut Cornel Mirea ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Water Chemistry ◽  
Water Samples ◽  
Mine Drainage ◽  
Pollution Indices ◽  
Mining Activities ◽  
River Catchment ◽  
High Concentrations ◽  
The Impact

This study aims to investigate the quality and vulnerability of surface water (Aries River catchment) in order to identify the impact of past mining activities. For this purpose, the pollution and water quality indices, Piper and Durov plots, as well vulnerability modeling maps were used. The obtained results indicate that the water samples were contaminated with As, Fe, Mn, Pb and have relatively high concentrations of SO42−, HCO3−, TDS, Ca, K, Mg and high values for the electrical conductivity. Possible sources of the high content of chemicals could be the natural processes or the inputs of the mine drainage. Generally, according to the pollution indices, which were correlated to high concentrations of heavy metals, especially with Pb, Fe and Mn, the water samples were characterized by heavy metals pollution. The water quality index classified the studied water samples into five different classes of quality, namely: unsuitable for drinking, poor, medium, good and excellent quality. Similarly, medium, high and very high vulnerability classes were observed. The Durov and Piper plots classified the waters into Mg-HCO3− and Ca-Cl− types. The past and present mining activities clearly change the water chemistry and alter the quality of the Aries River, with the water requiring specific treatments before use.

scholarly journals A peep into the state of ground water quality in the district of Tiruvannamalai, Tamil Nadu, India, from a radiological and chemical toxicity perspective

2021 ◽  
Vol 11 (5) ◽  
Author(s):  
Durai Ganesh ◽  
G. Senthilkumar ◽  
P. Eswaran ◽  
M. Balakrishnan ◽  
S. N. Bramha ◽  
...  
Keyword(s):  
Water Quality ◽  
Ground Water ◽  
Water Samples ◽  
Tamil Nadu ◽  
Potable Water ◽  
Uranium Concentration ◽  
The State ◽  
Chemical Toxicity ◽  
Ground Water Quality ◽  
Led Fluorimeter

AbstractUranium concentration in the ground water samples from the district of Tiruvannamalai, Tamil Nadu, was measured using an LED fluorimeter. All the samples were qualified as potable water from the radiological perspective. Though some samples showed mild chemical toxicity, they are still safe for ingestion. Different risk coefficients were calculated, and they were compared with recommended safety limits specified by various agencies. Software tools such as QGIS 15, GraphPad Prism 8 and Surfer 15 were employed for developing maps and plots.

scholarly journals Hydrogeochemistry and surface water quality assessment of IB valley coalfield area, India

2021 ◽  
Vol 11 (9) ◽  
Author(s):  
Bishnu Prasad Sahoo ◽  
Himanshu Bhushan Sahu ◽  
Dhruti Sundar Pradhan
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Seasonal Variation ◽  
Surface Water ◽  
Water Samples ◽  
Nickel Aluminum ◽  
Acid Mine ◽  
Significant Seasonal Variation ◽  
Cadmium Selenium ◽  
High Degree

AbstractCoal mining and ancillary activities have the potential to cause water pollution characterized by acid mine drainage, acid mine leachates, extreme pH conditions and heavy metal contaminations. In the present work, 33 water samples in premonsoon and 34 water samples in monsoon were collected from the surface water bodies of Ib Valley coalfield, India for hydrogeochemical analysis. In premonsoon, pH, TSS, Turbidity, DO, BOD, COD, Magnesium, Cadmium, Selenium, Nickel, Aluminum and in monsoon, pH, TSS, Turbidity, DO, BOD, COD, Iron, Cadmium, Selenium, Nickel and Aluminum were nonconforming to the permissible limit set by the Bureau of Indian Standards, World Health Organisation and Ministry of Environment, Forest and Climate Change, Government of India. The average BOD/COD ratio of less than 0.6 in both seasons indicated Ib valley coalfield water was not fairly biodegradable. The analysis of variance (ANOVA) revealed that significant seasonal variation (p < 0.05) was observed in the hydro-chemical parameters viz. TSS, turbidity, redox potential, acidity, total hardness, bicarbonate alkalinity, chloride, sulfate, nitrate, sodium, calcium, magnesium, iron, cadmium, chromium and magnesium during the entire sampling period. Whereas, no significant seasonal variation (p > 0.05) was observed in pH, EC, TDS, DO, BOD, residual chlorine, COD, oil and grease, fluoride, potassium, zinc, copper, selenium, nickel, aluminum, boron, silica, temperature, salinity, cyanide and phenol. Water Quality Index revealed that 39.39% and 35.29% samples belong to poor water quality category in premonsoon and monsoon, respectively. As per Heavy Metal Pollution Index, Degree of Contamination (Cd) and Heavy metal evaluation index, medium degree of pollution were exhibited by 51.52%, 30.30% and 45.45% samples in premonsoon and 20.59%, 35.29% and 26.47% samples in monsoon. Whereas, 5.88%, 2.94% and 5.88% samples were having high degree of pollution in monsoon and 15.15% samples caused high degree of pollution with respect to Cd in premonsoon. However, EC, Na%, PI, SAR and RSC values suggested that the water can be used for irrigation. Water type of the region had been found to be Ca–Mg–Cl–SO4 by Piper diagram.

Sign in / Sign up

Export Citation Format

Share Document