Mapping and distribution of noise using IDW interpolation algorithm in Thuan An city, Binh Duong province

The study is conducted to assess the level of noise pollution from traffic activities in urban areas (in the case of Thuan An city, Binh Duong province) with the specific goal of applying geographic information systems. (GIS) in building noise pollution distribution maps in the study area. The research team collected noise data at peak hours and normal hours on weekdays and weekends using noise meters at 61 survey points. Noise measurement data was then interpolated using IDW (Inverse Distance Weighting) method to assess the spatial distribution of noise in Thuan An city. In addition, the study digitizes traffic routes and special areas (hospitals, schools, churches - pagodas) in the study area to identify areas affected by sound noisy. The results show that the areas near the main road are most affected by noise during rush hour, while areas in the small lane are noise level within the permitted range. In addition, the results also show the difference in noise level and noise time between weekdays and weekends.

An Experimental Study of the Noise Due to Traffic in a Congested Urban Area

Fluctuation and Noise Letters ◽

10.1142/s0219477516500103 ◽

2016 ◽

Vol 15 (01) ◽

pp. 1650010

Author(s):

M. Sangeetha ◽

P. Sankar

Keyword(s):

Urban Area ◽

Noise Level ◽

Urban Areas ◽

Noise Pollution ◽

Simulation Software ◽

Network Simulator ◽

Level Data ◽

Drastic Increase ◽

Wireless Medium ◽

Noise Data

Noise pollution in an urban environment is an issue of serious concern in the major cities of India. There are various factors that contribute to the increase of noise levels in urban areas. The intensity of traffic is one of the factors which contributes to a drastic increase in environmental noise. The management of noise pollution has to be considered in the decision making process. In this paper, an attempt is made to study the existing noise level due to the traffic in Velachery which is declared as a sensitive area by the Ministry of Environment and Forestry (MoEF). The noise level data is collected using the MS6710 digital sound meter. The Custic simulation software version 3.2 is used for finding the propagation of noise. The spatial patterns of measurement were also calculated, in the sub-urban area of Velachery, Chennai, Tamilnadu, India. A means of transmitting this data to vehicles moving in the area, through a wireless medium is simulated using NCTUns 6.0 (network simulator), to enable drivers to understand the environmental conditions. A hardware was also designed which can be used to transmit and receive the noise data using the Zigbee module. A noise transmitting station is placed at a junction, so that it can transmit this noise data to the receivers which are fitted inside the vehicles.

Inverse distance weighting method optimization in the process of digital terrain model creation based on data collected from a multibeam echosounder

Applied Geomatics ◽

10.1007/s12518-020-00307-6 ◽

2020 ◽

Vol 12 (4) ◽

pp. 397-407

Author(s):

Wojciech Maleika

Keyword(s):

Measurement Data ◽

Digital Terrain Model ◽

Weighting Method ◽

Calculation Time ◽

Multibeam Echosounder ◽

Terrain Model ◽

Digital Terrain ◽

Distance Weighting ◽

Abstract This paper presents the optimization of the inverse distance weighting method (IDW) in the process of creating a digital terrain model (DTM) of the seabed based on bathymetric data collected using a multibeam echosounder (MBES). There are many different methods for processing irregular measurement data into a grid-based DTM, and the most popular of these methods are inverse distance weighting (IDW), nearest neighbour (NN), moving average (MA) and kriging (K). Kriging is often considered one of the best methods in interpolation of heterogeneous spatial data, but its use is burdened by a significantly long calculation time. In contrast, the MA method is the fastest, but the calculated models are less accurate. Between them is the IDW method, which gives satisfactory accuracy with a reasonable calculation time. In this study, the author optimized the IDW method used in the process of creating a DTM seabed based on measurement points from MBES. The goal of this optimization was to significantly accelerate the calculations, with a possible additional increase in the accuracy of the created model. Several variants of IDW methods were analysed (dependent on the search radius, number of points in the interpolation, power of the interpolation and applied smoothing method). Finally, the author proposed an optimization of the IDW method, which uses a new technique of choosing the nearest points during the interpolation process (named the growing radius). The experiments presented in the paper and the results obtained show the true potential of the IDW optimized method in the case of DTM estimation.

Spatial Distribution of Soil Nutrients in Farmland in a Hilly Region of the Pearl River Delta in China Based on Geostatistics and the Inverse Distance Weighting Method

Agriculture ◽

10.3390/agriculture11010050 ◽

2021 ◽

Vol 11 (1) ◽

pp. 50

Author(s):

Rumi Wang ◽

Runyan Zou ◽

Jianmei Liu ◽

Luo Liu ◽

Yueming Hu

Keyword(s):

Spatial Distribution ◽

Pearl River Delta ◽

Pearl River ◽

Weighting Method ◽

Farmland Protection ◽

The Pearl River Delta ◽

Hilly Region ◽

Distance Weighting ◽

The Pearl River ◽

Soil nutrients are essential factors that reflect farmland quality. Nitrogen, phosphorus, and potassium are essential elements for plants, while silicon is considered a “quasi-essential” element. This study investigated the spatial distribution of plant nutrients in soil in a hilly region of the Pearl River Delta in China. A total of 201 soil samples were collected from farmland topsoil (0–20 cm) for the analysis of total nitrogen (TN), available phosphorus (AP), available potassium (AK), and available silicon (ASi). The coefficients of variation ranged from 47.88% to 76.91%. The NSRs of TN, AP, AK, and ASi were 0.15, 0. 07, 0.12, and 0.13, respectively. The NSRs varied from 0.02 to 0.20. All variables exhibited weak spatial dependence (R2 < 0.5), except for TN (R2 = 0.701). After comparing the prediction accuracy of the different methods, we used the inverse distance weighting method to analyze the spatial distribution of plant nutrients in soil. The uniform spatial distribution of AK, TN overall showed a trend of increasing from northeast to southwest, and the overall spatial distribution of AP and ASi showed that the northeast was higher than the southwest. This study provides support for the delimitation of basic farmland protection areas, the formulation of land use spatial planning, and the formulation of accurate farmland protection policies.

Evaluation of an inverse distance weighting method for patching daily and dekadal rainfall over the Free State Province, South Africa

Water SA ◽

10.4314/wsa.v42i3.12 ◽

2016 ◽

Vol 42 (3) ◽

pp. 466 ◽

Cited By ~ 5

Author(s):

Mokhele Edmond Moeletsi ◽

Zakhele Phumlani Shabalala ◽

Gert De Nysschen ◽

Sue Walker

Keyword(s):

South Africa ◽

Free State ◽

Weighting Method ◽

Free State Province ◽

Distance Weighting ◽

Sub-window inverse distance weighting method for removing salt-and-pepper noise

2017 International Electrical Engineering Congress (iEECON) ◽

10.1109/ieecon.2017.8075883 ◽

2017 ◽

Author(s):

Chaipichit Cumpim ◽

Rachu Punchalard

Keyword(s):

Salt And Pepper Noise ◽

Weighting Method ◽

Distance Weighting ◽

Salt And Pepper ◽

Increasing Efficiency of Field Water Re-Injection during Water-Flooding in Mature Hydrocarbon Reservoirs: A Case Study from the Sava Depression, Northern Croatia

Sustainability ◽

10.3390/su12030786 ◽

2020 ◽

Vol 12 (3) ◽

pp. 786 ◽

Cited By ~ 2

Author(s):

Tomislav Malvić ◽

Josip Ivšinović ◽

Josipa Velić ◽

Jasenka Sremac ◽

Uroš Barudžija

Keyword(s):

Water Injection ◽

Hydrocarbon Reservoirs ◽

Water Flooding ◽

Injection Wells ◽

Weighting Method ◽

Hydrocarbon Production ◽

Recovery Method ◽

Distance Weighting ◽

The authors analyse the process of water re-injection in the hydrocarbon reservoirs/fields in the Upper Miocene sandstone reservoirs, located in the western part of the Sava Depression (Croatia). Namely, this is the “A” field with “L” reservoir that currently produces hydrocarbons using a secondary recovery method, i.e., water injection (in fact, re-injection of the field waters). Three regional reservoir variables were analysed: Porosity, permeability and injected water volumes. The quantity of data was small for porosity reservoir “L” and included 25 points; for permeability and injected volumes of water, 10 points each were measured. This study defined selection of mapping algorithms among methods designed for small datasets (fewer than 20 points). Namely, those are inverse distance weighting and nearest and natural neighbourhood. Results were tested using cross-validation and isoline shape recognition, and the inverse distance weighting method is described as the most appropriate approach for mapping permeability and injected volumes in reservoir “L”. Obtained maps made possible the application of the modified geological probability calculation as a tool for prediction of success for future injection (with probability of 0.56). Consequently, it was possible to plan future injection more efficiently, with smaller injected volumes and higher hydrocarbon recovery. Prevention of useless injection, decreasing number of injection wells, saving energy and funds invested in such processes lead to lower environmental impact during the hydrocarbon production.

A POD-selective inverse distance weighting method for fast parametrized shape morphing

International Journal for Numerical Methods in Engineering ◽

10.1002/nme.5982 ◽

2018 ◽

Vol 117 (8) ◽

pp. 860-884 ◽

Cited By ~ 12

Author(s):

Francesco Ballarin ◽

Alessandro D'Amario ◽

Simona Perotto ◽

Gianluigi Rozza

Keyword(s):

Weighting Method ◽

Shape Morphing ◽

Distance Weighting ◽

Development and evaluation of an extended inverse distance weighting method for streamflow estimation at an ungauged site

Hydrology Research ◽

10.2166/nh.2015.117 ◽

2015 ◽

Vol 47 (2) ◽

pp. 333-343 ◽

Cited By ~ 3

Author(s):

Muhammad Waseem ◽

Muhammad Ajmal ◽

Ungtae Kim ◽

Tae-Woong Kim

Keyword(s):

Weighted Average ◽

General Idea ◽

Coefficient Of Determination ◽

Weighting Method ◽

Ungauged Sites ◽

Distance Weighting ◽

Leave One Out ◽

Mean Square Errors ◽

In spatial interpolation, one of the most widely used deterministic methods is the inverse distance weighting (IDW) technique. The general idea of IDW is primarily based on the hypothesis that the attribute value of an ungauged site is the weighted average of the known attribute values within the neighborhood, and the ‘weights’ are merely associated with the horizontal distances between the gauged and ungauged sites. However, here we propose an extended version of IDW (hereafter, called the EIDW method) to provide ‘alternative weights’ based on the blended geographical and physiographical spaces for estimation of streamflow percentiles at ungauged sites. Based on the leave-one-out cross-validation procedure, the coefficient of determination had a value of 0.77 and 0.82 for the proposed EIDW models, M1 and M2, respectively, with low root mean square errors. Moreover, after investigating the relationship between the prediction efficiency and the distance decay parameter (C), the better performance of the M1 and M2 resulted at C = 2. Furthermore, the results of this study show that the EIDW could be considered as a constructive way forward to provide more accurate and consistent results in comparison to the traditional IDW or the dimension reduction technique-based IDW.

Application of Marine Geotechnical Investigation and Analysis Techniques in Salvage Project

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1065-1069.15 ◽

2014 ◽

Vol 1065-1069 ◽

pp. 15-18

Author(s):

Yong Ning An

Keyword(s):

Mechanical Properties ◽

New Technology ◽

Physical And Mechanical Properties ◽

Geotechnical Investigation ◽

Standard Analysis ◽

Weighting Method ◽

Analysis Techniques ◽

Distance Weighting ◽

Curve Method ◽

Marine geotechnical investigation techniques provide important support for maritime salvage project. when using the new technology of pile rooting to righting shipwrecks, marine geotechnical investigation can provide a detailed physical and mechanical properties with reasonable parameters, and then use of splines curves and inverse distance weighting method to apply parameters to each pile, then analysis of the vertical uplift and compressive bearing capacity based on API standard, analysis of the level of resistance and strain relations based on P-Y curve method, predict drivability of piles and so on.