Spatial variation of sub-surface heterogenieties within the dyke swarm of Nandurbar region, Maharashtra, India, for groundwater exploration using Inverse Distance Weighted technique

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.

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IN BATHYMETRIC SURFACES: IDW OR KRIGING?

Boletim de Ciências Geodésicas ◽

10.1590/s1982-21702017000300033 ◽

2017 ◽

Vol 23 (3) ◽

pp. 493-508 ◽

Cited By ~ 5

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.

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Estimation of Elemental Distributions by Combining Artificial Neural Network and Inverse Distance Weighted (IDW) Based on Lithogeochemical Data in Kahang Porphry Deposit, Central Iran

Universal Journal of Geoscience ◽

10.13189/ujg.2015.030203 ◽

2015 ◽

Vol 3 (2) ◽

pp. 59-65

Author(s):

Reza Karami ◽

Peyman Afzal

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Central Iran ◽

Inverse Distance Weighted ◽

Distance Weighted ◽

Artificial Neural ◽

Inverse Distance

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

Jurnal Gaussian ◽

10.14710/j.gauss.v8i4.26722 ◽

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

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ACIDENTES COM TRATORES NAS REGIÕES BRASILEIRAS

ENERGIA NA AGRICULTURA ◽

10.17224/energagric.2019v34n01p1-9 ◽

2019 ◽

Vol 34 (01) ◽

pp. 1-9

Author(s):

Isabela Oliveira Lima ◽

Leonardo De Almeida Monteiro ◽

Elivania Maria Sousa Nascimento ◽

Rafaela Paula Melo ◽

Mara Alice Maciel dos Santos

Keyword(s):

Rural Areas ◽

Exponential Model ◽

The South ◽

Inverse Distance Weighted ◽

The North ◽

Gis Tools ◽

Distance Weighted ◽

E Mail ◽

Inverse Distance ◽

Agricultural Machines

ACIDENTES COM TRATORES NAS REGIÕES BRASILEIRAS ISABELA OLIVEIRA LIMA1; LEONARDO DE ALMEIDA MONTEIRO2; ELIVANIA MARIA SOUSA NASCIMENTO3; RAFAELA PAULA MELO4 E MARA ALICE MACIEL DOS SANTOS5 [1] Doutoranda em Engenharia Agrícola, Departamento de Engenharia Agrícola, Bloco 804, s/n – Pici, cep:60455-760, Fortaleza - CE, Brasil. E-mail: [email protected] 2 Professor Doutor, Universidade Federal do Ceará-UFC, Departamento de Engenharia Agrícola, Bloco 804, s/n - Pici, cep:60455-760, Fortaleza - CE, Brasil. E-mail: [email protected] 3Doutoranda em Engenharia Agrícola, Departamento de Engenharia Agrícola, Bloco 804, s/n - Pici, cep:60455-760, Fortaleza - CE, Brasil. E-mail: [email protected] 4Doutora em Engenharia Agrícola, Departamento de Engenharia Agrícola, Bloco 804, s/n - Pici, cep:60455-760, Fortaleza - CE, Brasil. E-mail: [email protected] 5Mestre e Engenharia Agrícola, Departamento de Engenharia Agrícola, Bloco 804, s/n - Pici, cep:60455-760, Fortaleza - CE, Brasil. E-mail: [email protected] RESUMO: Acidentes de trabalho no meio rural estão se tornando cada dia mais frequentes, e se faz necessário a identificação destes para que se possa implementar medidas preventivas. Em consonância a essa busca o presente trabalho objetivou-se a mapear acidentes com máquinas agrícolas sucedidos no Brasil no período de janeiro de 2013 a maio de 2016, usando técnicas de geoprocessamento para a confecção dos mapas. Os dados foram obtidos a partir de um compilado de informações de acidentes ocorridos no período. Foram desenvolvidos mapas pelo IDW (Inverse Distance Weighted), permitindo a identificação das áreas de maior e menor concentração de acidentes. Os dados analisados foram submetidos a uma verificação da dependência espacial das variáveis, pela análise geoestatística, segundo Yamamoto e Landim (2015). Os resultados demonstram uma maior concentração de acidentes na região Sul do país. As regiões Sul e Norte apresentaram médias de acidentes iguais a do território nacional. A menor média de acidentes foi na região Nordeste (1,2 acidentes/Estado). As regiões Sul, Sudeste, Centro oeste e Nordeste apresentaram como modelo efeito pepita puro (EPP), enquanto que a região Norte apresentou modelo exponencial. O uso de ferramentas de SIG mostrou-se eficiente para o mapeamento dos acidentes com tratores nas regiões brasileiras. Palavras-chaves: Segurança, Prevenção, Georreferenciamento, Mecanização agrícola. ACCIDENTS WITH TRACTORS IN THE BRAZILIAN REGIONS ABSTRACT: Accidents at work in rural areas are becoming more frequent, and their identification is necessary so that preventive measures can be implemented. In line with this search, the present work aimed to map accidents with agricultural machines succeeded in Brazil from January 2013 to May 2016, using geoprocessing techniques to make maps. Data were obtained from a compilation of information on accidents occurring in the period. Maps were developed by IDW (Inverse Distance Weighted), allowing the identification of areas with the highest and lowest concentration of accidents. Os dados analisados foram submetidos a uma verificação da dependência espacial das variáveis, pela análise geoestatística, segundo Yamamoto e Landim (2015). The results show a higher concentration of accidents in the southern region of the country. The South and North regions had accident averages equal to the national territory. The lowest average of accidents was in the Northeast region (1.2 accidents / State). The South, Southeast, Midwest and Northeast regions presented as pure nugget effect (EPP) model, while the North region presented exponential model. The use of GIS tools proved to be efficient for the mapping of tractor accidents in the Brazilian regions. Keywords: safety, prevention, georeferencing, agricultural mechanization.

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Spatio-Temporal Analysis of PM10 in Southern Peninsular Malaysia

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.9.15267 ◽

2018 ◽

Vol 7 (3.9) ◽

pp. 27

Author(s):

Mohamad Saiful Mohamad Khir ◽

Khalida Muda ◽

Norelyza Hussein ◽

Mohd Faisal Abdul Khanan ◽

Mohd Nor Othman ◽

...

Keyword(s):

Air Pollution ◽

Particulate Matter ◽

Pollutant Dispersion ◽

Temporal Analysis ◽

Peninsular Malaysia ◽

Inverse Distance Weighted ◽

Distance Weighted ◽

Haze Episode ◽

Spatio Temporal ◽

Inverse Distance

In this study, the particulate matter with diameter less than 10 micrometers (PM10) is being observed. Other factors that influenced the pollutant dispersion are also being studied prior to identification of their relationship. The aim of this study is to identify the trend of PM10 concentrations in the Southern Peninsular of Malaysia during the period 2005 to 2015 by using spatio-temporal analysis in regards to air pollution. The inverse distance weighted (IDW) is used for the spatio interpolation data and mapping. The trends of the PM10 concentration are illustrated via map which indicates the affected and vulnerable area of Southern Peninsular Malaysia especially during Haze episode.

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Investigação da Variação Volumétrica de Reservatório de Abastecimento de Água Mediante o Emprego de Diferentes Espaçamentos entre as Linhas Regulares de Sondagem

Revista Brasileira de Cartografia ◽

10.14393/rbcv72n2-53233 ◽

2020 ◽

Vol 72 (2) ◽

pp. 365-383

Author(s):

Sérgio da Conceição Alves ◽

Cláudia Pereira Krueger

Keyword(s):

Root Mean Square ◽

Mean Square ◽

Inverse Distance Weighted ◽

Distance Weighted ◽

Inverse Distance

O Levantamento Batimétrico (LB) tem como objetivo a determinação e a representação gráfica do relevo topográfico de áreas submersas. O detalhamento dessas superfícies é uma inferência da disposição dos dados batimétricos e da precisão de aquisição destes dentro dos limites especificados para cada equipamento sonar de feixe único. Por conseguinte, a precisão dos Modelo Digitais de Elevação (MDEs) está relacionada a esses preceitos e, consequentemente, infere na precisão volumétrica de reservação. Durante o LB, realizado no pré-reservatório do Passaúna, localizado na região metropolitana de Curitiba-PR, planejou-se o espaçamento entre as Linhas Regulares de Sondagem (LRS) de 15 metros, este, no entanto, foi aumentando de 15 em 15 m até, conforme as orientações vigentes para esses ambientes, alcançar o espaçamento de 300 metros. E para cada conjunto de dados, determinou-se o MDE utilizando os interpoladores Kriging (KRG) e Inverse Distance Weighted (IDW). Em seguida, determinou-se os resíduos a partir da comparação entre as profundidades sondadas, obtidas nas linhas de verificação, com as profundidades interpoladas, advindas dos MDEs, onde obteve-se um Root Mean Square médio de 0,180 m nos MDEs com as LRS espaçadas de 15 até 105 metros gerados com os dados posicionadas com o WS3910 e interpoladas com o IDW. A partir da comparação entre os volumes advindos dos MDEs com o modelo computado com os dados batimétricos com as LRS espaçadas em 15m, obteve-se uma diferença volumétrica abaixo de -4,76% nos MDEs com LRS espaçadas de 30 metros até 180 metros.

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Padatan Tersuspensi yang Dipengaruh oleh Proses Pasang Surut di Perairan Kaliboyo, Kabupaten Pekalongan

Journal of Marine Research ◽

10.14710/jmr.v8i4.24775 ◽

2019 ◽

Vol 8 (4) ◽

pp. 393-401

Author(s):

Anugrah Riskel Shabari ◽

Alfi Satriadi Satriadi ◽

Warsito Atmodjo

Keyword(s):

Suspended Sediment ◽

Sediment Load ◽

Suspended Sediment Load ◽

Inverse Distance Weighted ◽

Purposive Sampling ◽

Central Java ◽

Mesh Model ◽

A Value ◽

Distance Weighted ◽

Inverse Distance

ABSTRAK: Perairan Kaliboyo merupakan daerah yang berpotensi mengalami pendangkalan akibat pengendapan sedimen tersuspensi. Potensi dari pengdangkalan tersebut dapat diketahui dengan mengetahui nilai konsentrasi dan sebaran Material Padatan Tersuspensi (MPT). Konsentrasi MPT yang tinggi di laut dipengaruhi oleh arus yang dibangkitkan oleh pasang surut. Tujuan dilakukannya penelitian ini adalah untuk mengetahui pengaruh arus laut terhadap konsentrasi dan sebaran MPT di Perairan Kaliboyo Kabupaten Batang, Jawa Tengah. Materi yang digunakan meliputi utama berupa data sampel air dan arus laut sedangkan data pendukung berupa data pasang surut BMKG, dan debit sungai PSDA Jawa Tengah tahun 2017, bathimetri hasil pemeruman tanggal 15 September 2018, dan peta RBI 2017. Penelitian ini menggunakan metode kuantitatif yang bersifat eksploratif, penentuan lokasi pengambilan sampel air menggunakan metode purposive sampling, pengambilan data arus laut menggunakan metode lagrange. Model matematik yang digunakan adalah Flow Flexible Mesh Model 2D untuk arah pergerakan arus dan Inverse Distance Weighted untuk interpolasi sebaran MPT. Berdasarkan hasil dari penelitian menunjukkan bahwa nilai material padatan tersuspensi pasang menuju surut pada kedalaman 0.2d memiliki nilai antara 0,027 g/l – 0.114 g/l, kedalaman 0.6d memiliki nilai antara 0,030 g/l – 0,114 g/l, dan kedalaman 0.8d memiliki nilai antara 0,038 g/l – 0,118 g/l. Kecepatan arus memiliki nilai antara 0.0181 m/dt – 0.2011 m/dt dengan arah dominan ke arah barat laut. Berdasarkan hasil penelitian dapat disimpulkan bahwa konsentrasi tertinggi material padatan tersuspensi berada di muara sungai dan daerah yang masih dipengaruhi oleh sungai dan mengecil menuju laut lepas.ABSTRACT: Kaliboyo River is an area that has potential by silting due to the deposition of suspended sediments. The potential of this silting can be known by understanding the value of concentration and the distribution of suspended sediment load. The high suspended sediment load concentration in the ocean is influenced by currents generated by tides. The purpose of this research the effect of ocean currents on the concentration and distribution of suspended sediment load in the Kaliboyo River of Batang Regency, Central Java. The material used includes the main data such as water sample, and current. while the supporting data consists of tides data from BMKG, and river discharge from Central Java PSDA in 2017, bathimetry results from September 15, 2018, and RBI 2017 map This study uses quantitative methods that are explorative in nature, taking the location of sampling using the purposive sampling method, taking ocean currents using the lagrange method. The mathematical model used is 2D Flow Flexible Mesh Model for flow direction and Inverse Distance Weighted for TSS distribution interpolation. Based on the results of the study, it was found that the value of the tide suspended solids to tide at the 0.2d level had a value between 0.027 g / l - 0.114 g / l, 0.6d depth had a value between 0.030 g / l - 0.114 g / l, and 0.8d has a value between 0.038 g / l - 0.118 g / l. The current velocity has a value between 0.0181 m / dt - 0.2011 m / dt with the dominant direction to the northwest. Based on the results of the study it can be concluded that the highest concentration of total suspended solid in the estuary of the river and the area where still influeced by the river and shrinking towards the open sea.

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