Accurate rainfall data are essential for environmental applications in the actual assessment of geographical distribution rainfall. Interpolation methods usually applied to monitor spatial data. There many interpolation methods, but none them can achieve all cases best results. In this study, three different were investigated with regard their suitability producing a distribution. Rainfall from...

Drought is a natural event that very influential on the availability of water reserves in soil, both needed for agricultural purposes and human needs. The Irrigation Areas (DI) conducted by study are Pandanduri-Swangi, Rutus, Terara Temusik which located Palung River Basin. This Analysis includes Rainfall, Regional Evaporation, calculation drought Palmer Severity Index (PDSI) method. Then do co...

Influenza is one of the most important leading causes of respiratory illness in the countries located in the tropical areas of South East Asia and Thailand. In this study the climate factors associated with influenza incidence in Chiang Mai Province, Northern Thailand, were investigated. Identification of factors responsible for influenza outbreaks and the mapping of potential risk areas in Chi...

The purpose of this research is the zoning of groundwater quality for agriculture usages in the Eyvanakey plain, conjugating Interpolation methods by Geographic Information System (GIS) and selection of the best weights in Analytical Hierarchy Process (AHP). Achieving this aim, groundwater quality data from 19 wells in Eyvanakey plain were used. First, raster maps of the study area was prepared...

Given an undirected network G(V,A,c) and a perfect matching M of G, the inverse maximum perfect matching problem consists of modifying minimally the elements of c so that M becomes a maximum perfect matching with respect to the modified vector. In this article, we consider the inverse problem when the modifications are measured by the weighted bottleneck-type Hamming distance. We propose an alg...

This paper presented the levels of PM2.5 and PM10 in different stations at the city of Sabzevar, Iran. Furthermore, this study was an attempt to evaluate spatial interpolation methods for determining the PM2.5 and PM10 concentrations in the city of Sabzevar. Particulate matters were measured by Haz-Dust EPAM at 48 stations. Then, four interpolating models, including Radial Basis Functions (RBF)...

Abstract. Urban residents’ daily lives have been impacted by the COVID-19 pandemic in various aspects such as social, leisure, and physical activities. Fortunately, urban green spaces (UGSs) become a main outdoor destination, due to policies encouraging people visit UGS keeping them open. This study aimed comprehensively investigate impact of on topics discussed social media visitors over space...

Satellite altimetry and tide gauges are the two main techniques used to measure sea level. Due limitations of satellite altimetry, a high-quality unified level model from coast open ocean has traditionally been difficult achieve. This study proposes fusion approach gauge data based on deep belief network (DBN) method. Taking Mediterranean Sea as case area, progressive three-step experiment was ...

Administratively, the research area is located in Waturambaha area, North Konawe, Southeast Sulawesi province. The method used determining distribution and estimation of Ni laterite measurable resources one geocomputational methods, Inverse Distance Wieght (IDW). From interpolation 82 drill points, it was concluded that levels quite high (COG ≥ 1.2%) discriminated dominantly central to northern...

Inverse maximum flow (IMDF), is among the most important problems in the field ofdynamic network flow, which has been considered the Euclidean norms measure in previousresearches. However, recent studies have mainly focused on the inverse problems under theHamming distance measure due to their practical and important applications. In this paper,we studies a general approach for handling the inv...