The Mapping of Salinity Level Using The Inverse Distance Weighted (Idw) Interpolation Method Along The Coastal Area of Pulau Tuba, Langkawi

S. A. Kamaruddin, Khairul Naim Abd.Aziz, A. Roslani, Z. Zainol, Aziani Ahmad, Mohd Idrus Shaari, R. Nazri, J. Tajam
{"title":"The Mapping of Salinity Level Using The Inverse Distance Weighted (Idw) Interpolation Method Along The Coastal Area of Pulau Tuba, Langkawi","authors":"S. A. Kamaruddin, Khairul Naim Abd.Aziz, A. Roslani, Z. Zainol, Aziani Ahmad, Mohd Idrus Shaari, R. Nazri, J. Tajam","doi":"10.24191/myse.v9i1.17292","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to investigate the accuracy of the Inverse Distance Weighted (IDW) interpolation method to estimate and map the surface water salinity along the coastal waters of Pulau Tuba, Langkawi. Sea surface salinity was recorded using a refractometer during two sampling activities that were carried out in November 2018. The Global Positioning System (GPS) was used to record the geo-location of each sampling point. IDW method was applied in data collection using ArcGIS Software. Statistical analyses such as correlation analysis, regression analysis, and error analysis were employed to assess the prediction of salinity values. The transformation of the spatial model to map was carried out later to assess the accuracy of the map. The study found that there is a strong positive correlation, r= .753 (p< .05) with the coefficient of determination of 56.80% between observed and predicted salinity values. Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) were calculated at 0.724466 and 0.921728, respectively. The accuracy of the map was found at 81.25%. The study also found that the salinity reading is polyhaline along the coastal water of Pulau Tuba. Overall, the study found that the IDW method has provided a tool to predict and map the surface salinity along the coastal waters of Pulau Tuba, Langkawi.","PeriodicalId":194704,"journal":{"name":"Malaysian Journal of Sustainable Environment","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Malaysian Journal of Sustainable Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24191/myse.v9i1.17292","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The purpose of this study is to investigate the accuracy of the Inverse Distance Weighted (IDW) interpolation method to estimate and map the surface water salinity along the coastal waters of Pulau Tuba, Langkawi. Sea surface salinity was recorded using a refractometer during two sampling activities that were carried out in November 2018. The Global Positioning System (GPS) was used to record the geo-location of each sampling point. IDW method was applied in data collection using ArcGIS Software. Statistical analyses such as correlation analysis, regression analysis, and error analysis were employed to assess the prediction of salinity values. The transformation of the spatial model to map was carried out later to assess the accuracy of the map. The study found that there is a strong positive correlation, r= .753 (p< .05) with the coefficient of determination of 56.80% between observed and predicted salinity values. Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) were calculated at 0.724466 and 0.921728, respectively. The accuracy of the map was found at 81.25%. The study also found that the salinity reading is polyhaline along the coastal water of Pulau Tuba. Overall, the study found that the IDW method has provided a tool to predict and map the surface salinity along the coastal waters of Pulau Tuba, Langkawi.
利用逆距离加权(Idw)插值法绘制浮罗交怡图巴岛沿海地区的盐度水平
本研究的目的是探讨逆距离加权(IDW)插值方法在兰卡威岛图巴岛沿海水域地表水盐度估算和测绘中的准确性。在2018年11月进行的两次采样活动中,使用折光计记录了海面盐度。利用全球定位系统(GPS)记录每个采样点的地理位置。采用ArcGIS软件进行数据采集,采用IDW法。采用相关分析、回归分析、误差分析等统计分析方法对盐度预测结果进行评价。随后进行空间模型到地图的转换,以评估地图的精度。研究发现,观测值与预测值之间存在很强的正相关,r= 0.753 (p< 0.05),决定系数为56.80%。平均绝对误差(MAE)和均方根误差(RMSE)分别为0.724466和0.921728。该地图的精度为81.25%。研究还发现,图巴岛沿岸水域的盐度读数为多盐。总的来说,研究发现IDW方法提供了一种工具来预测和绘制浮罗交怡图巴岛沿海水域的表面盐度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信