Hydrology, water quality and trophic state of Pergau Reservoir, Kelantan, Malaysia

Article Properties
  • Language
    English
  • Publication Date
    2023/06/12
  • Journal
  • Indian UGC (journal)
  • Refrences
    65
  • Citations
    1
  • Wan Ruslan Ismail KGA Engineering Sdn. Bhd. No. 576b, Jalan Sultan Azlan Shah, Sg. Nibong, Pulau Pinang, MalaysiaSection of Geography, School of Humanities, Universiti Sains Malaysia, Minden, Pulau Pinang, Malaysia ORCID (unauthenticated)
  • Mohamad Adam Omar Section of Geography, School of Humanities, Universiti Sains Malaysia, Minden, Pulau Pinang, Malaysia
  • Zullyadini A. Rahaman Department of Geography and Environment, Faculty of Human Sciences, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia
  • Sumayyah Aimi Mohd Najib Department of Geography and Environment, Faculty of Human Sciences, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia ORCID (unauthenticated)
  • Amir Shah Ruddin MD Sah School of Biological Sciences, Universiti Sains Malaysia, Minden, Pulau Pinang, Malaysia
  • Azwin Abdul Razad TNB Research Sdn. Bhd, No. 1, Bangi Research Institution Area, Jalan Ayer Itam, Kajang, Selangor, Malaysia
Journal Categories
Geography
Anthropology
Recreation
Environmental sciences
Technology
Environmental technology
Sanitary engineering
Technology
Hydraulic engineering
Technology
Hydraulic engineering
River, lake, and water-supply engineering (General)
Refrences
Title Journal Journal Categories Citations Publication Date
Extreme weather and floods in kelantan state, Malaysia in December 2014 2018
Rivers and lakes as natural heritage: Water quality status in the northern states of Peninsular malaysia 2016
Water quality and trophic state of Kaw Lake Journal of Environmental Studies 2016
Preliminary study on characteristics of dissolved oxygen and the relationship with pH in meiliang lake 2009
Evaluation of chlorophyll as the primary index for trophic state classification 2009
Citations
Title Journal Journal Categories Citations Publication Date
Coupling of machine learning and remote sensing for soil salinity mapping in coastal area of Bangladesh

Scientific Reports
  • Medicine
  • Science
  • Science: Science (General)
1 2023
Citations Analysis
Category Category Repetition
Medicine1
Science1
Science: Science (General)1
The category Medicine 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Coupling of machine learning and remote sensing for soil salinity mapping in coastal area of Bangladesh and was published in 2023. The most recent citation comes from a 2023 study titled Coupling of machine learning and remote sensing for soil salinity mapping in coastal area of Bangladesh. This article reached its peak citation in 2023, with 1 citations. It has been cited in 1 different journals, 100% of which are open access. Among related journals, the Scientific Reports cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year