STATE OF WATER QUALITY FOR REBRICEA RIVER BY PRINCIPAL COMPONENT ANALYSIS

被引:0
|
作者
Moisii, Andreea-Madalina [1 ]
Romanescu, Gheorghe [1 ]
Breaban, Iuliana Gabriela [1 ]
机构
[1] Univ Alexandru Ioan Cuza Iasi, Fac Geog & Geol, Dept Geog, Carol 1 Blvd 20A, Iasi 700506, Romania
关键词
seasonal variation; water resources; rural hydrology;
D O I
暂无
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Water quality is one of the nowadays matters that benefits of numerous studies, as result of human society acknowledging the impact on the Hydrosphere. On this subject were identified inadequacies between the existing water resources and the upward trend in consumption demand of residents. This study represents an intermediate stage in the seasonal analysis of water quality parameters for the middle sector of Rebricea river in the administrative area of commune Scanteia (Iasi county). Scanteia administrative territory is composed of seven villages: Bodesti, Borosesti, Ciocarlesti, Lunca Rates, Rediu, Scanteia and Tufestii de Sus and has 4781 residents. The most important villages cross in the 27 km length of the river are Carbunari, Grajduri, Scanteia, Rebricea. In the analyzed sector the land-use is predominantly agricultural, the activities have rural specifics. The aim of the study is to quantify the water quality based on statistical method and to identify variables that influence the water quality. Were collected samples from 20 points across the river for two seasons. The analyzed parameters are pH, NO3-, NO2-, GH (General Hardness), KH (Total Alkalinity) and temperature. Preliminary results range between 5.5-8.5 for pH, 0-40 ppm for NO3-, 4-56 degrees dH for GH, 6-16.8 degrees dH for KH and 0 ppm for NO2-. The specifics of the rural settlements and the land use imprint the characteristics of streams, also the absence of a water supply network has a major role in establishing chemical changes. As a result, have been distinguished relationships between impacts on water resources, land-use and demographic characteristics of the landscape.
引用
下载
收藏
页码:31 / 37
页数:7
相关论文
共 50 条
  • [41] Principal component analysis and hydrochemical facies characterization to evaluate groundwater quality in Varahi river basin, Karnataka state, India
    Ravikumar P.
    Somashekar R.K.
    Applied Water Science, 2017, 7 (2) : 745 - 755
  • [42] Principal Component Analysis and the Water Quality Index-A Powerful Tool for Surface Water Quality Assessment: A Case Study on Struma River Catchment, Bulgaria
    Benkov, Ivan
    Varbanov, Marian
    Venelinov, Tony
    Tsakovski, Stefan
    WATER, 2023, 15 (10)
  • [43] Spatio-temporal analysis of the Brantas river water quality status by using principal component weighted index (PCWI)
    Lusiana, Evellin Dewi
    Mahmudi, Mohammad
    Musa, Muhammad
    Primadhita, Maria Alfonsa Okta
    Putra, Syahrijal
    Silalahi, Jumpa Priodi
    Sunadji
    Buwono, Nanik Retno
    ECOLOGICAL QUESTIONS, 2023, 34 (03)
  • [44] Assessment of water quality index in unmonitored river basin using multilayer perceptron neural networks and principal component analysis
    Sakaa, Bachir
    Brahmia, Nabil
    Chaffai, Hicham
    Hani, Azzedine
    DESALINATION AND WATER TREATMENT, 2020, 200 : 42 - 54
  • [45] State space functional principal component analysis to identify spatiotemporal patterns in remote sensing lake water quality
    Gong, Mengyi
    Miller, Claire
    Scott, Marian
    O'Donnell, Ruth
    Simis, Stefan
    Groom, Steve
    Tyler, Andrew
    Hunter, Peter
    Spyrakos, Evangelos
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2021, 35 (12) : 2521 - 2536
  • [46] State space functional principal component analysis to identify spatiotemporal patterns in remote sensing lake water quality
    Mengyi Gong
    Claire Miller
    Marian Scott
    Ruth O’Donnell
    Stefan Simis
    Steve Groom
    Andrew Tyler
    Peter Hunter
    Evangelos Spyrakos
    Stochastic Environmental Research and Risk Assessment, 2021, 35 : 2521 - 2536
  • [47] SPSS for Water Pollution Contribution of Tonghui River in Beijing Based on Principal Component Analysis
    Zhang Liping
    Pang Jie
    Ke Lei
    Shi Yuanyuan
    Yang Muqi
    Hu Qianyu
    Guo Yuanjie
    MATERIALS FOR ENVIRONMENTAL PROTECTION AND ENERGY APPLICATION, PTS 1 AND 2, 2012, 343-344 : 483 - 489
  • [48] Investigating Water Quality Data Using Principal Component Analysis and Granger Causality
    Zavareh, Maryam
    Maggioni, Viviana
    Sokolov, Vadim
    WATER, 2021, 13 (03)
  • [49] Optimization of Parameters in a Water Quality Index Model Using Principal Component Analysis
    Uddin, Md. Galal
    Nash, Stephen
    Olbert, Agnieszka I.
    PROCEEDINGS OF THE 39TH IAHR WORLD CONGRESS, 2022, : 5739 - 5744
  • [50] PRINCIPAL COMPONENT ANALYSIS FOR INTERVAL-VALUED DATA IN WATER QUALITY ASSESSMENT
    Wang, Xiaojing
    Zou, Zhihong
    FRESENIUS ENVIRONMENTAL BULLETIN, 2018, 27 (10): : 6525 - 6531