scholarly journals Assessing Land-Cover Effects on Stream Water Quality in Metropolitan Areas Using the Water Quality Index

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3294
Author(s):  
TaeHo Kim ◽  
YoungWoo Kim ◽  
Jihoon Shin ◽  
ByeongGeon Go ◽  
YoonKyung Cha
Keyword(s):  
Water Quality ◽  
Land Cover ◽  
Water Quality Index ◽  
Urban Areas ◽  
Quality Index ◽  
Metropolitan Areas ◽  
Stream Water ◽  
Land Cover Type ◽  
Stream Water Quality ◽  
Land Cover Types

This study evaluated the influence of different land-cover types on the overall water quality of streams in urban areas. To ensure national applicability of the results, this study encompassed ten major metropolitan areas in South Korea. Using cluster analysis, watersheds were classified into three land-cover types: Urban-dominated (URB), agriculture-dominated (AGR), and forest-dominated (FOR). For each land-cover type, factor analysis (FA) was used to ensure simple and feasible parameter selection for developing the minimum water quality index (WQImin). The chemical oxygen demand, fecal coliform (total coliform for FOR), and total nitrogen (nitrate-nitrogen for URB) were selected as key parameters for all land-cover types. Our results suggest that WQImin can minimize bias in water quality assessment by reducing redundancy among correlated parameters, resulting in better differentiation of pollution levels. Furthermore, the dominant land-cover type of watersheds, not only affects the level and causes of pollution, but also influences temporal patterns, including the long-term trends and seasonality, of stream water quality in urban areas in South Korea.

PENGARUH PERUBAHAN JUMLAH PENDUDUK TERHADAP KUALITAS AIR DI INDONESIA

2017 ◽  
Vol 15 (2) ◽  
pp. 207-215
Author(s):  
Nur Afiyah Maizunati ◽  
Mohamad Zaenal Arifin
Keyword(s):  
Water Quality ◽  
Population Growth ◽  
Water Quality Index ◽  
Urban Areas ◽  
Quality Index ◽  
Growth Control ◽  
Fixed Effect Model ◽  
Negative Influence ◽  
Effect Model ◽  
The Social

Ongoing population growth and urbanization can cause pressure on water systems, especially in urban areas. Several previous studies have found evidence of an influence between population and water quality. However, the phenomenon in Indonesia is slightly different, because although population growth has decreased trend, but the acquisition of water quality index still fluctuate in several years. This study aims to determine the significance influence of population on water quality in Indonesia. Data analysis is done through regression of panel data of 33 provinces with fixed effect model, The results showed that the population has a negative influence on water quality in Indonesia. An increase on population by 1,000 people tends to lower the water quality index by an average of 1.13 points (cateris paribus). Population growth control becomes absolute and priority in Indonesia. However, these efforts need to be accompanied by continuous improvement of competence and welfare, so that the social awareness and economic capacity of each population are increased in order to achieve a better maintenance on the quality of the environment.

Development of Chemical Index as a Measure of In-Stream Water Quality in Response to Land-Use and Land Cover Changes

2006 ◽  
Vol 174 (1-4) ◽  
pp. 161-179 ◽  
Author(s):  
T. Tsegaye ◽  
D. Sheppard ◽  
K. R. Islam ◽  
W. Tadesse ◽  
A. Atalay ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Cover ◽  
Stream Water ◽  
Land Cover Changes ◽  
Stream Water Quality ◽  
Chemical Index

scholarly journals Water quality index as a tool for wetland restoration

Water Policy ◽  
2017 ◽  
Vol 19 (3) ◽  
pp. 390-403 ◽  
Author(s):  
Nitin Bassi ◽  
M. Dinesh Kumar
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Urban Areas ◽  
Quality Index ◽  
Action Plan ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Water Bodies ◽  
Water Quality Parameters ◽  
Anthropogenic Pressures

Worldwide, wetlands are subjected to increasing anthropogenic pressures resulting in loss of their hydrological and ecological functions. Such impacts are more pronounced in the case of wetlands in urban areas which are exposed to land use changes and increased economic activities. In many Indian cities, natural water bodies such as lakes are heavily polluted due to runoff from farmlands in urban and peri-urban areas and discharge of untreated domestic and industrial wastewater. The major constraint for restoring such water bodies is difficulty in devising a concrete action plan for analysing different sets of water quality parameters. Hence, a water quality index (WQI), which is a tool to analyse large amounts of data on different water quality parameters, is computed for one of the biggest natural lakes in the metropolitan city of Delhi. The mean WQI of the lake was estimated to be 46.27, which indicates a high level of water pollution. The paper discusses how these findings can be used for informing policies on management of wetlands. The paper also suggests establishment of a community based water quality monitoring and surveillance system, backed by infrastructural support from the State, in order to restore the wetlands in urban areas.

scholarly journals Linkage Between In-Stream Total Phosphorus and Land Cover in Chugoku District, Japan: An Ann Approach

2012 ◽  
Vol 60 (1) ◽  
pp. 33-44 ◽  
Author(s):  
Bahman Amiri ◽  
K. Sudheer ◽  
Nicola Fohrer
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Cover ◽  
Total Phosphorus ◽  
Management Practices ◽  
Agricultural Land ◽  
Stream Water ◽  
Ann Model ◽  
Stream Water Quality ◽  
The Impact

Linkage Between In-Stream Total Phosphorus and Land Cover in Chugoku District, Japan: An Ann ApproachDevelopment of any area often leads to more intensive land use and increase in the generation of pollutants. Modeling these changes is critical to evaluate emerging changes in land use and their effect on stream water quality. The objective of this study was to assess the impact of spatial patterns in land use and population density on the water quality of streams, in case of data scarcity, in the Chugoku district of Japan. The study employed artificial neural network (ANN) technique to assess the relationship between the total phosphorous (TP) in river water and the land use in 21 river basins in the district, and the model was able to reasonably estimate the TP in the stream water. Uncertainty analysis of ANN estimates was performed using the Monte Carlo framework, and the results indicated that the ANN model predictions are statistically similar to the characteristics of the measured TP values. It was observed that any reduction in forested area or increase in agricultural land in the watersheds may cause the increase of TP concentration in the stream. Therefore, appropriate watershed management practices should be followed before making any land use change in the Chugoku district.

scholarly journals Water Quality Index Performance for River Pollution Control Based on Better Ecological Point of View (A Case Study in Code, Winongo, Gadjah Wong Streams)

2019 ◽  
Vol 5 (1) ◽  
pp. 47
Author(s):  
Sri Puji Saraswati ◽  
Mochammad Venly Ardion ◽  
Yul Hendro Widodo ◽  
Suwarno Hadisusanto
Keyword(s):  
Water Quality ◽  
River Water ◽  
Pollution Control ◽  
Water Quality Index ◽  
Quality Index ◽  
Stream Water ◽  
Water Discharge ◽  
Monitoring Data ◽  
Quality Data ◽  
Water Quality Variables

The quality of river water quality monitoring data sometimes can be inaccurate. Evaluation of the effectiveness of water pollution control programs needs good quality data to calculate the Water Quality Index (WQI) with the aim to meet the requirement to protect biodiversity and maintain various water functions. Thirty-five water quality variables from Code, Gadjah Wong, and Winongo rivers were taken as data, conducted by Environmental Agency of Yogyakarta in 2004 – 2015. There were only 19 out of 35 water quality variables having good data after improvement of monitoring data, transformation/standardization and analysis of the significant water quality variables with PCA (Principle Component Analysis) and Factor Analysis (FA). WQIs formula in the three rivers used the same 5 significant variables i.e. EC, DO, COD, NH3N, Total Coliform, and "weighted sum index” as the sub-index aggregation technique, with different sub-index coefficients. Winongo River had the best water quality and Gajah Wong River was the worst. According to the relationship of river water discharge and WQIs index, large discharge during rainy seasons does not always decrease the level of pollution, but it tends to increase the WQIs. More effective ways to improve the stream water quality during dry seasons should further be investigated.

scholarly journals Water quality assessment of the Montenegrin part of the Lim river using the Serbian water quality index (SWQI)

2021 ◽  
pp. 119-130
Author(s):  
Filip Vujović ◽  
Mladen Delić ◽  
Darko Smolović
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Urban Areas ◽  
Quality Index ◽  
Ecological Status ◽  
Quality Data ◽  
Coliform Bacteria ◽  
Index Number ◽  
Water Quality Data ◽  
Advantages And Disadvantages

The paper analyzes the water quality of the Montenegrin part of the Lim River using the Serbian Water Quality Index (SWQI) method. This method uses ten physical, chemical, and microbiological parameters (temperature, pH value, electrical conductivity, oxygen saturation, BOD5 , suspended solids, total nitrogen oxides, orthophosphates, ammonium, coliform bacteria) and summarizes them in a water quality index number. Data from the Institute of Hydrometeorology and Seismology of Montenegro (IHMS) from the Annual Reports on Water Quality from 2010 to 2018 were used to assess water quality. The results of this research, according to SWQI, show that in the upper course of the Montenegrin part of the Lim, at the control stations Plav and Andrijevica, water has excellent quality. Downstream, passing through the urban areas of Berane and Bijelo Polje at the control stations Skakavac, Zaton, Bijelo Polje, Dobrakovo, the water quality enters the class of very good and good quality. The results of average SWQI values at all control stations for the research period of eight years indicate that the quality in the Montenegrin part of the Lim River can be classified as very good (87). The paper confirms the importance of the SWQI as a useful method for presenting water quality data despite its many advantages and disadvantages. In order to achieve relevant results and the actual ecological status of the river, it is necessary to apply the Water Quality Index (WQI), which includes inorganic parameters.

scholarly journals Impact of Land Use on Stream Water Quality in the German Low Mountain Range Basin Gersprenz

2019 ◽  
Vol 72 ◽  
pp. 1-17 ◽  
Author(s):  
Britta Schmalz ◽  
Marion Kruse
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Cover ◽  
Anthropogenic Impacts ◽  
Stream Water ◽  
Spatial Scales ◽  
Mountain Range ◽  
Stream Water Quality ◽  
Hydrological Data ◽  
Comprehensive Management

Knowledge of the interactions of hydrological processes with the landscape are important to understand variations in basic hydrological data for the comprehensive management of basins. Land cover and land use is one essential factor in the assessment of such management problems. In this study in a representative German basin, available land cover and land use data is analysed in correspondence with available hydrological measuring data.The aim of this study is to analyse the relationships between hydrological data and land use and to obtain a monitoring strategy which allows a valuable support to a comprehensive management of river basins.Two spatial scales, the basin Gersprenz and its subbasin Fischbach, are described in detail regarding the variations in electrical conductivity (EC) as a parameter of water quality with high resolution field data from the state-wide monitoring network (12 stations) as well as from own research monitoring (12 stations). The results show that water quality, using EC as an indicator, can be related to land use pattern. From stream source to mouth, there is an increase in anthropogenic impacts and the EC values show an increasing tendency in downstream direction. This anthropogenic impact is due to agricultural use, settlements, commerce and industry areas, and discharges of waste water. The hydrological monitoring will be continued in the future to give the possibility to assess long-term variations on different spatial and temporal scales.

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