Inverse Distance Weighted Method and Environmental Health Risks of Plumbum Pollution in Drinking Water in Belawan Coastal Area

2017 ◽  
Vol 23 (4) ◽  
pp. 3339-3343 ◽  
Author(s):  
Sri Malem Indirawati ◽  
Setiaty Pandia ◽  
Herman Mawengkang ◽  
Wirsal Hasan
Keyword(s):  
Drinking Water ◽  
Environmental Health ◽  
Health Risks ◽  
Coastal Area ◽  
Inverse Distance Weighted ◽  
Environmental Health Risks ◽  
Distance Weighted ◽  
Inverse Distance

scholarly journals Jarak Sumber Air Baku Air Minum dari Pusat Erupsi dan Risiko Kesehatan Masyarakat di Wilayah Pasca Erupsi Sinabung

2020 ◽  
Vol 19 (2) ◽  
pp. 103-110
Author(s):  
Sri Malem Indirawati ◽  
Haesti Sembiring
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Environmental Health ◽  
Health Risks ◽  
Water Source ◽  
Raw Water ◽  
Purposive Sampling ◽  
Environmental Health Risks ◽  
Test Kit ◽  
Water Test

Latar belakang: Gunung sinabung sudah mengalami erupsi selama 9 tahun sejak  bulan Agustus tahun 2010, hal ini menyebabkan perubahan ekosistem karena  telah merubah struktur tanah dan mempengaruhi kualitas air di wilayah erupsi. Kondisi ini menimbulkan faktor risiko kesehatan pada masyarakat yang mengkonsumsi sumber air baku air minum yang tercemar. Penelitian ini bertujuan untuk menganalis kualitas air minum masyarakat dan mengukur risiko kesehatan lingkungan yang timbul sebagai dampak dari erupsi berdasarkan jarak sumber air baku .Metode: Penelitian survei dengan design cross sectional berlokasi di hunian tetap desa Nang belawan kecamatan Simpang Empat kabupaten Karo propinsi Sumatera utara.   Sampel meliputi air baku air minum yang diambil di empat lokasi. Air baku dianalisis dengan alat photometer water test kit AYI-IO, dan kemudian  hasilnya dipetakan dengan analisis spasial berdasarkan jarak dari sumber erupsi ke sumber air baku. Sejumlah 56 kepala keluarga  diambil secara purposive sampling di wilayah penelitian berdasarkan cemaran Pb tertinggi, selanjutnya dianalisa dengan  metode Analisa Risiko Kesehatan Lingkungan.Hasil: Seluruh sampel air tercemar Pb dengan rentang 0.17 -0.9 mg/L. Masyarakat dengan masa tinggal 4 tahun dan rerata berat badan 55 Kg dan mengkonsumsi 2 L/hari memiliki risiko kesehatan.Simpulan: Masyarakat yang bermukim di lokasi hunian tetap Nang Belawan 1 memiliki konsentrasi Pb maksimum 0,9 mg/L dan memiliki risiko kesehatan akibat  mengkonsumsi air minum yang tercemar Pb.  Pengelolaan air baku dengan metode penyaringan khusus dalam upaya menurunkan konsentrasi Pb perlu dilakukan agar dapat menurunkan risiko kesehatan. ABSTRACT Title: The Raw Water Source Distance  From The Center Of Eruption And  Public Health Risks in The Area of Sinabung Post-EruptionBackground: Mount Sinabung has been erupted  for 9 years since August 2010, it caused  ecosystem changing because it changed the soil structure and will affecting water quality in the eruption area. This condition raises environmental health risks for people who consume drinking water sources contaminated with volcanic dust pollutants. This study aims to analyze the quality of Pb in community drinking water and environmental health risks that arise as a result of eruptions and knowing  the status of raw water quality based on the distance from the eruption center.Method: This is survey study with cross-sesctional design was located in Nang Belawan village Simpang Empat sub-District Karo District in North Sumatera Province with four locations for drinking water source samples. The raw water is analyzed by the AYI-IO water test kit, and then the results are mapped with spatial analysis based on the distance from the point of Mount Sinabung. 56 samples were taken by purposive sampling in the area with the highest Pb contamination, then analyzed by enviromental health risks assesmentResult:  All samples of Pb polluted water ranged from 0.17 to 0.9 mg / L. People with a 4-year stay and average body weight of 55 kg and consuming 2 L / day had risks.  Raw water with a distance of 9.66 - 11.43  Km from Sinabung is not safe for consumption.Conclusion: This indicates that people living in the Nang Belawan 1 Huntap location with maximum Pb concentration of 0.9 mg / L had a health risk due to contaminated raw water. Need to manage raw water as a source of drinking water with a special screening method, in an effort to reduce the concentration of Pb. The distance of the well 11.43 Km from the eruption center is not safe for consumption  

scholarly journals Akurasi Metode IDW dan Kriging untuk Interpolasi Sebaran Sedimen Tersuspensi

2008 ◽  
Vol 22 (1) ◽  
pp. 97 ◽  
Author(s):  
Gatot H. Pramono
Keyword(s):  
Spatial Analysis ◽  
Coastal Area ◽  
Suspended Sediments ◽  
Kriging Method ◽  
Inverse Distance Weighted ◽  
Physical Conditions ◽  
South Sulawesi ◽  
Distance Weighted ◽  
Inverse Distance ◽  
Total Suspended Sediments

Physical conditions of seawater in coastal area can be studied by sampling at several locations. To perform spatial analysis, the data should be interpolated to get the values between sample points. Several approaches for interpolation may result in different outcomes. The purpose of this research is to compare Inverse Distance Weighted (IDW) and Kriging methods. Their parameters are studied using the total suspended sediments in Maros area, South Sulawesi. The results show that the more accurate interpolation is obtained by using IDW method than using Kriging method.

scholarly journals Akurasi Metode IDW dan Kriging untuk Interpolasi Sebaran Sedimen Tersuspensi di Maros, Sulawesi Selatan

2008 ◽  
Vol 22 (2) ◽  
pp. 145 ◽  
Author(s):  
Gatot H. Pramono
Keyword(s):  
Spatial Analysis ◽  
Coastal Area ◽  
Suspended Sediments ◽  
Kriging Method ◽  
Inverse Distance Weighted ◽  
Physical Conditions ◽  
South Sulawesi ◽  
Distance Weighted ◽  
Inverse Distance ◽  
Total Suspended Sediments

Physical conditions of seawater in coastal area can be studied by sampling at several locations. To perform spatial analysis, the data should be interpolated to get the values between sample points. Several approaches for interpolation may result in different outcomes. The purpose of this research is to compare Inverse Distance Weighted (IDW) and Kriging methods. Their parameters are studied using the total suspended sediments in Maros area, South Sulawesi. The results show that the more accurate interpolation is obtained by using IDW method than using Kriging method.

scholarly journals The influence of distance weight on the inverse distance weighted method for ore-grade estimation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhan-Ning Liu ◽  
Xiao-Yan Yu ◽  
Li-Feng Jia ◽  
Yuan-Sheng Wang ◽  
Yu-Chen Song ◽  
...  
Keyword(s):  
Estimation Accuracy ◽  
Block Model ◽  
Minkowski Distance ◽  
Inverse Distance Weighted ◽  
Grade Estimation ◽  
M 10 ◽  
Weight Calculation ◽  
Distance Weighted ◽  
Inverse Distance ◽  
Ore Grade

AbstractIn order to study the influence of distance weight on ore-grade estimation, the inverse distance weighted (IDW) is used to estimate the Ni grade and MgO grade of serpentinite ore based on a three-dimensional ore body model and related block models. Manhattan distance, Euclidean distance, Chebyshev distance, and multiple forms of the Minkowski distance are used to calculate distance weight of IDW. Results show that using the Minkowski distance for the distance weight calculation is feasible. The law of the estimated results along with the distance weight is given. The study expands the distance weight calculation method in the IDW method, and a new method for improving estimation accuracy is given. Researchers can choose different weight calculation methods according to their needs. In this study, the estimated effect is best when the power of the Minkowski distance is 3 for a 10 m × 10 m × 10 m block model. For a 20 m × 20 m × 20 m block model, the estimated effect is best when the power of the Minkowski distance is 9.

scholarly journals IN BATHYMETRIC SURFACES: IDW OR KRIGING?

2017 ◽  
Vol 23 (3) ◽  
pp. 493-508 ◽  
Author(s):  
Italo Oliveira Ferreira ◽  
Dalto Domingos Rodrigues ◽  
Gérson Rodrigues dos Santos ◽  
Lidiane Maria Ferraz Rosa
Keyword(s):  
Universal Kriging ◽  
Digital Model ◽  
Inverse Distance Weighted ◽  
Scientific Methods ◽  
Distance Weighted ◽  
Sample Points ◽  
Computational Representation ◽  
Inverse Distance ◽  
Mineral Prospecting

Abstract: The representation of the submerged relief is very importance in diverse areas of knowledge such as Projects to build or reassess port dimensions, installation of moles, ducts, marinas, bridges, tunnels, mineral prospecting, waterways, dredging, silting control of river and lakes, and others. The depths of the aquatic bodies, indispensable for the representation of those, are obtained through the bathymetric surveys. However, the result of a bathymetric sampling is a grid of points that, for itself, it is not capable of generating directly the Digital Model of Depth (DMD), being necessary the use of interpolators. Currently, there are more than 40 available scientific methods of interpolation, each one with its particularities and characteristics. This study has the objective to analise, comparing, the efficiency of Universal Kriging (UK) and of the Inverse Distance Weighted (IDW) in the computational representation of bathymetric surfaces, varying in a decreasing way the quantity of sample points. Through the results, we can be stated the superiority of the interpolator Universal Kriging in efficiency in creating DMD with basis in the bathymetric surveys data.

scholarly journals PEMODELAN GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) SEASONAL PADA DATA CURAH HUJAN EMPAT KABUPATEN DI PROVINSI JAWA TENGAH

2019 ◽  
Vol 8 (4) ◽  
pp. 418-427
Author(s):  
Eko Siswanto ◽  
Hasbi Yasin ◽  
Sudarno Sudarno
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Space Time ◽  
Series Data ◽  
Inverse Distance Weighted ◽  
Modeling And Forecasting ◽  
Distance Weighted ◽  
The Relationship ◽  
Inverse Distance

In many applications, several time series data are recorded simultaneously at a number of locations. Time series data from nearby locations often to be related by spatial and time. This data is called spatial time series data. Generalized Space Time Autoregressive (GSTAR) model is one of space time models used to modeling and forecasting spatial time series data. This study applied GTSAR model to modeling volume of rainfall four locations in Jepara Regency, Kudus Regency, Pati Regency, and Grobogan Regency. Based on the smallest RMSE mean of forecasting result, the best model chosen by this study is GSTAR (11)-I(1)12 with the inverse distance weighted. Based on GSTAR(11)-I(1)12 with the inverse distance weighted, the relationship between the location shown on rainfall Pati Regency influenced by the rainfall in other regencies. Keywords: GSTAR, RMSE, Rainfall

Sign in / Sign up

Export Citation Format

Share Document