Izyan Hakimah Kamar Supardi, Nazirah Mohamad Abdullah, Badrul Hisham Bin Ismail, Astina Tugi, Yusuf D. Opaluwa
{"title":"Generating Water Quality Maps of Klang River Based on Geographic Information System (GIS) and Water Quality Index (WQI)","authors":"Izyan Hakimah Kamar Supardi, Nazirah Mohamad Abdullah, Badrul Hisham Bin Ismail, Astina Tugi, Yusuf D. Opaluwa","doi":"10.30880/ijscet.2023.14.03.034","DOIUrl":null,"url":null,"abstract":"Water quality index (WQI) and Geographic Information Systems (GIS) play a critical role in managing and modelling a variety of water resource issues, including urban drainage, point and non-point source pollution. Historically, the evaluation of water quality has been a domain reserved for experts, necessitating laborious and time-consuming in situ sampling and laboratory analysis. However, the integration of WQI and GIS has democratized this information, making it accessible to non-experts, thereby enhancing the comprehension of Klang River's water quality. The objective is to employ WQI and GIS to create comprehensive water quality maps. While WQI offers a straightforward numerical evaluation, the incorporation of graphical data provides a nuanced understanding of river pollution. Therefore, hourly WQI data observed at every week in 2 months from October to November 2021 over four stations (Kampung Medan, Kampung Lombong, Taman Pengkalan Batu and Jeti Sungai Udang) in Malaysia was acquired from the Selangor Maritime Gateway (SMG) website and the Malaysian National Water Quality Standard (NWQS). Adopting Inverse Distance Weighting (IDW) interpolation method, WQI parameters at unsampled locations were estimated based on values of nearby sampled points. Database was built to depict the water quality of the Klang River, particularly during the two-month monitoring. Mapping provides a clear indication of the river's water quality. The WQI mapping outcome fall between class II and class IV. The findings indicate varying water quality classes along the Klang River, revealing potential pollution sources in industrial and development areas. It was concluded from the study that the water pollution may be due to its proximity to industrial and development regions.","PeriodicalId":14418,"journal":{"name":"International Journal of Sustainable Construction Engineering and Technology","volume":"56 1","pages":"0"},"PeriodicalIF":0.6000,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sustainable Construction Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30880/ijscet.2023.14.03.034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Water quality index (WQI) and Geographic Information Systems (GIS) play a critical role in managing and modelling a variety of water resource issues, including urban drainage, point and non-point source pollution. Historically, the evaluation of water quality has been a domain reserved for experts, necessitating laborious and time-consuming in situ sampling and laboratory analysis. However, the integration of WQI and GIS has democratized this information, making it accessible to non-experts, thereby enhancing the comprehension of Klang River's water quality. The objective is to employ WQI and GIS to create comprehensive water quality maps. While WQI offers a straightforward numerical evaluation, the incorporation of graphical data provides a nuanced understanding of river pollution. Therefore, hourly WQI data observed at every week in 2 months from October to November 2021 over four stations (Kampung Medan, Kampung Lombong, Taman Pengkalan Batu and Jeti Sungai Udang) in Malaysia was acquired from the Selangor Maritime Gateway (SMG) website and the Malaysian National Water Quality Standard (NWQS). Adopting Inverse Distance Weighting (IDW) interpolation method, WQI parameters at unsampled locations were estimated based on values of nearby sampled points. Database was built to depict the water quality of the Klang River, particularly during the two-month monitoring. Mapping provides a clear indication of the river's water quality. The WQI mapping outcome fall between class II and class IV. The findings indicate varying water quality classes along the Klang River, revealing potential pollution sources in industrial and development areas. It was concluded from the study that the water pollution may be due to its proximity to industrial and development regions.
水质指数(WQI)和地理信息系统(GIS)在管理和模拟各种水资源问题(包括城市排水、点源和非点源污染)方面发挥着关键作用。从历史上看,水质评价一直是专家的领域,需要费力和耗时的现场采样和实验室分析。然而,WQI和GIS的整合使这些信息大众化,使非专家也可以访问,从而提高了对巴生河水质的了解。目的是利用水质指数和地理信息系统来制作全面的水质地图。虽然WQI提供了一个简单的数值评估,但结合图形数据提供了对河流污染的细致了解。因此,从2021年10月至11月,马来西亚四个站点(Kampung Medan, Kampung Lombong, Taman Pengkalan Batu和Jeti Sungai Udang)的每周每小时WQI数据从雪兰莪海事门户(SMG)网站和马来西亚国家水质标准(NWQS)获得。采用逆距离加权(IDW)插值方法,根据附近采样点的值估计未采样点的WQI参数。建立了一个数据库来描述巴生河的水质,特别是在两个月的监测期间。地图清晰地显示了这条河的水质。WQI绘图结果介于II级和IV级之间。研究结果显示巴生河沿岸的水质等级不同,揭示了工业和开发区的潜在污染源。从研究中得出的结论是,水污染可能是由于邻近工业和开发区。