scholarly journals Performance of landscape composition metrics for predicting water quality in headwater catchments

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Linda R. Staponites ◽  
Vojtěch Barták ◽  
Michal Bílý ◽  
Ondřej P. Simon
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Management Strategies ◽  
Ecological Integrity ◽  
Quality Parameters ◽  
Landscape Composition ◽  
Water Quality Parameters ◽  
Distance Measures ◽  
Water Quality Parameter ◽  
Headwater Catchments

Abstract Land use is a predominant threat to the ecological integrity of streams and rivers. Understanding land use-water quality interactions is essential for the development and prioritization of management strategies and, thus, the improvement of water quality. Weighting schemes for land use have recently been employed as methods to advance the predictive power of empirical models, however, their performance has seldom been explored for various water quality parameters. In this work, multiple landscape composition metrics were applied within headwater catchments of Central Europe to investigate how weighting land use with certain combinations of spatial and topographic variables, while implementing alternate distance measures and functions, can influence predictions of water quality. The predictive ability of metrics was evaluated for eleven water quality parameters using linear regression. Results indicate that stream proximity, measured with Euclidean distance, in combination with slope or log-transformed flow accumulation were dominant factors affecting the concentrations of pH, total phosphorus, nitrite and orthophosphate phosphorus, whereas the unweighted land use composition was the most effective predictor of calcium, electrical conductivity, nitrates and total suspended solids. Therefore, both metrics are recommended when examining land use-water quality relationships in small, submontane catchments and should be applied according to individual water quality parameter.

scholarly journals The effect of land-use change on river watershed quality (case study: Cimahi Watershed, West Java, Indonesia)

2021 ◽  
Vol 933 (1) ◽  
pp. 012010
Author(s):  
S A Nurhayati ◽  
M Marselina ◽  
A Sabar
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Pearson Correlation ◽  
Land Use Changes ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Watershed Area ◽  
Watershed Land Use ◽  
Main River

Abstract Increasing population growth is one of the impacts of the growth of a city or district in an area. This also happened in the Cimahi watershed area. As the population grows, so does the need for land which increases the land-use change in the Cimahi watershed. Land-use changes will affect the surrounding environment and one of them is the river, especially river water quality. As a watershed area, there is one main river that is the source of life as well as the Cimahi watershed, whose main river is the Cimahi River. The purpose of this study was calculated the relationship between land-use change in the Cimahi watershed and the water quality parameters of the Cimahi River. The correlation between the two was calculated using Pearson correlation. Water quality parameters can be seen based on BOD and DO values. BOD and DO values are the opposite because good water quality has high DO values and low BOD values. The correlation between land-use change and BOD was 0.328 is in the area of settlements area. In contrast, to DO values, an increase in settlements/industrial zones will further reduce DO values so that both have a negative correlation, which is indicated by a value of -0,535. The correlation between settlements with pH and temperature values is 0.664 and 0.812. While the correlation between settlements with TSS and TDS values are 0.333 and 0.529, respectively. In this study, it can be seen that there is a relationship between the decline in water quality and changes in land use.

Mitigating environmental risks: Modeling the interaction of water quality parameters and land use cover

2020 ◽  
Vol 95 ◽  
pp. 103766 ◽  
Author(s):  
Mohsen Mirzaei ◽  
Ali Jafari ◽  
Mehdi Gholamalifard ◽  
Hossein Azadi ◽  
Sharif Joorabian Shooshtari ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Quality Parameters ◽  
Environmental Risks ◽  
Water Quality Parameters

scholarly journals Assessment of Physicochemical Water Quality Parameters and Heavy Metals Concentration in Water Samples from Buriganga River Adjacent to Dhaka City

2017 ◽  
Vol 9 (2) ◽  
pp. 97-104
Author(s):  
MMM Hoque ◽  
PP Deb
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
River Water ◽  
Water Samples ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Water Quality Parameter ◽  
Dhaka City ◽  
Standard Level ◽  
Buriganga River

This study was conducted to know the status of physicochemical water quality parameter and heavy metal concentration in the water of Buriganga river, adjoining to Dhaka city. Water samples were collected from five different points of Buriganga river and were analyzed to determine pH, electrical conductivity (EC), total dissolved solids (TDS), dissolved oxygen (DO), biological oxygen demand (BOD), chromium (Cr), lead (Pb), cadmium (Cd), copper (Cu) and manganese (Mn) content. Most of the measured water quality parameters and concentration of heavy metals were exceeded the standard level set by ECR and ADB. Among heavy metals concentration, level of chromium and cadmium were 4-5 times higher than the standard drinking level, these results indicate that surrounding industrial wastewater discharging from textile and tannery industries, which pollute the Buriganga river water. During the observation, at Hazaribagh station BOD level was found 32 times higher than drinking water standard level and 6 times higher than standard irrigation level, indicating Buriganga river water is extremely polluted by microorganism and is not suitable for household and irrigational use. Similarly, DO level at Buriganga river water was 5 times lower than the standard level, which indicates that Buriganga river water is extremely polluted and is unsuitable for aquatic life which are dependent on DO for their sustain. In the present study, the measured level of EC, chromium, cadmium and copper were found higher level as compare to the previous studies.J. Environ. Sci. & Natural Resources, 9(2): 97-104 2016

scholarly journals Statistical Analysis and Review of Event Mean Concentrations in Stormwater Runoff from Agricultural Nonpoint Source Pollution among Different Land Use Types

2021 ◽  
Vol 43 (10) ◽  
pp. 664-678
Author(s):  
Hyeon Woo Go ◽  
Jin Chul Joo ◽  
Dong Hwi Lee ◽  
Chae Min Ahn ◽  
Sun Hwa Choi ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Paddy Field ◽  
Stormwater Runoff ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Land Use Types ◽  
Runoff Rate ◽  
Post Hoc ◽  
Agricultural Nonpoint Source

Objectives : In this study, the characteristics of stormwater runoff from agricultural nonpoint pollution sources investigated under various experimental conditions were evaluated among different land use types (e.g., paddy, field, field (alpine), and vinyl house), and event mean concentrations (EMCs) for each water quality parameter were statistically analyzed. These results can be used in calculating the contribution of stormwater runoff to water quality of receiving water body by performing quantitative and qualitative analysis. The unit loads calculated were compared with Ministry of Environment TMDL (2019) to secure the reliability of the calculated unit loads.Methods : EMCs and unit loads investigated in various studies were classified in terms of paddy, field, field (alpine), and vinyl house. Among various land use types, EMCs and unit loads were statistically analyzed quantitatively and qualitatively. For EMCs, a null hypothesis is that ‘EMCs of water quality parameters among different land use types are not different at a statistically significant level (α=0.05)’. Based on the results of statistical analysis, heteroscedasticity (p<0.05) and Welch-test method were consequently applied, and post hoc test was performed using the Games-Howell method. Finally, unit loads was compared and reviewed against the TMDL (2019) unit loads of the Ministry of Environment.Results and Discussion : Various EMCs in all water quality parameters were found among different land use types (i.e., paddy, field, field (alpine) and vinyl house). For most water quality parameters, EMCs tended to decrease in the order of field (alpine) > field > vinyl house > paddy. The coefficient of variance (CV) values of all water q uality parameters were 0.5 or greater. Based on these results, EMCs in agricultural nonpoint source pollution are very diverse and deviated due to the combination of natural and artificial factors. Post hoc test results indicated different statistical significance among all water quality parameters. In addition to the land use types, both natural factors (i.e., season, rainfall, antecedent rainfall day, and, rainfall runoff rate) and artificial factors (i.e., cultivator manipulation, emission route, type of crop, and amount of compost) affect the characteristics of stormwater runoff. In particular, in the case of field (alpine) with prominent topographical feature of slope, and EMCs were statistically greater than those from other land use types in all water quality categories (p<0.05).Conclusions : Countermeasures for field (alpine)with greater EMCs than paddy, field and vinyl house, should be performed priority. EMCs were affected by a complex interaction between natural factors (i.e., season, rainfall, antecedent rainfall day, and, rainfall runoff rate) and artificial factors (i.e., cultivator manipulation, emission route, type of crop, and amount of compost), and additional data and research are required for further study to elucidate these complex interactions.

scholarly journals Remote Sensing of Water Quality Parameters over Lake Balaton by Using Sentinel-3 OLCI

Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1428 ◽  
Author(s):  
Katalin Blix ◽  
Károly Pálffy ◽  
Viktor Tóth ◽  
Torbjørn Eltoft
Keyword(s):  
Water Quality ◽  
Regression Model ◽  
Gaussian Process ◽  
Gaussian Process Regression ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Water Quality Parameter ◽  
Aquatic Environments ◽  
Lake Balaton ◽  
Spectral Bands

The Ocean and Land Color Instrument (OLCI) onboard Sentinel 3A satellite was launched in February 2016. Level 2 (L2) products have been available for the public since July 2017. OLCI provides the possibility to monitor aquatic environments on 300 m spatial resolution on 9 spectral bands, which allows to retrieve detailed information about the water quality of various type of waters. It has only been a short time since L2 data became accessible, therefore validation of these products from different aquatic environments are required. In this work we study the possibility to use S3 OLCI L2 products to monitor an optically highly complex shallow lake. We test S3 OLCI-derived Chlorophyll-a (Chl-a), Colored Dissolved Organic Matter (CDOM) and Total Suspended Matter (TSM) for complex waters against in situ measurements over Lake Balaton in 2017. In addition, we tested the machine learning Gaussian process regression model, trained locally as a potential candidate to retrieve water quality parameters. We applied the automatic model selection algorithm to select the combination and number of spectral bands for the given water quality parameter to train the Gaussian Process Regression model. Lake Balaton represents different types of aquatic environments (eutrophic, mesotrophic and oligotrophic), hence being able to establish a model to monitor water quality by using S3 OLCI products might allow the generalization of the methodology.

scholarly journals Extracting the spatio-temporal linkages between land use/land cover and water quality parameters using spatio-temporal weighted regression

2018 ◽  
Vol 53 (4) ◽  
pp. 205-218
Author(s):  
Farid Karimipour ◽  
Arash Madadi ◽  
Mohammad Hosein Bashough
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Cover ◽  
Temporal Variations ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Spatial And Temporal Variations ◽  
Weighted Regression ◽  
Land Use Land Cover ◽  
Spatio Temporal

Abstract Studies in water quality management have indicated significant relationships between land use/land cover (LULC) variables and water quality parameters. Thus, understanding this linkage is essential in protecting and developing water resources. This article extends the conventional geographical weighted regression (GWR) to a temporal version in order to take both spatial and temporal variations of such linkages into account, which has been ignored by many of the previous efforts. The approach has been evaluated for total nitrates and nitrites' concentration as the case study. For this, observations of 45 water quality sampling stations were examined in a time interval of 20 years (1992–2011), and the linkages between LULC variables and NO2 + NO3 concentration were extracted through Pearson correlation coefficient as a global regression model, the conventional geographic weighted regression, and the proposed spatio-temporal weighted regression (STWR). Comparing the results based on two global criteria of goodness-of-fitness (R2) and residual sum of squares (RSS) verifies that the simultaneous consideration of spatial and temporal variations by STWR substantially improves the results.

scholarly journals Computational and Numerical Modeling for Classification of Water Quality of Lake

2020 ◽  
Vol 11 (9) ◽  
pp. 425-431
Author(s):  
Jonalyn G. Ebron ◽  
◽  
Rommel Ivan D. De Leon ◽  
Arviejhay D. Alejandro ◽  
Basaron A. Amoranto
Keyword(s):  
Water Quality ◽  
Linear Regression ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Water Quality Parameter ◽  
Support Vector ◽  
Poor Correlation ◽  
Study Results

In this study, the Multivariate Linear Regression (MLR), Artificial Neural Network (ANN), k-Nearest Neighbour (kNN), and Support Vector Machine (SVM) models had been developed to simulate and to predict the water quality of Laguna Lake. The input variables for the MLR model had been determined through linear regression. The ANN, kNN, and SVM had been modelled per water quality parameter with cross validation and evaluated through its accuracy. The performance of the MLR models had been evaluated with the statistical metrics R-squared, Mean Absolute Error, and Root Mean Square Error. A web-based water quality monitoring had been developed to incorporate in their monitoring. The results had indicated that the performance of SVM is superior in the prediction of classes in most water quality parameters. The study results had shown that the poor correlation between the water quality parameters indicated that the data cannot be modelled. The results had shown that the correlation had not reached the threshold to be significant of 60% for R-squared. As per the classification models, the results of the comparison had shown that SVM had been the best model in the majority of parameters.

scholarly journals Analisis kelayakan lahan budi daya rumput laut (Ulva sp.) pada lokasi rencana pengembangan North Sulawesi Marine Education Center di Likupang Timur

2017 ◽  
Vol 5 (3) ◽  
Author(s):  
Selvanus Edy ◽  
Edwin L. A. Ngangi ◽  
Joppy D. Mudeng
Keyword(s):  
Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Water Quality Parameter ◽  
Seaweed Cultivation ◽  
Field Station ◽  
North Sulawesi ◽  
Marine Education ◽  
Development Area

The purpose of this research was to know and evaluate the condition of aquatic environment and water quality parameters for cultivation of seaweed Ulva sp. This research was conducted on North Sulawesi Marine Education Center (NSMEC). NSMEC is planned to be built at Marine Field Station FPIK UNSRAT located in Likupang Timur Kabupaten Minahasa Utara. The waters of NSMEC development area are geographically located at 1040.437 'LU and 12504.499' BT. The determination of 4 stations was done by purposive sampling which was considered to represent the condition of waters. Coordinate stations were recorded with GPS help. The data were collected for 14 days every 6:00 pm, at 12:00 pm and 17:00 pm. The observation of environmental conditions was carried out for protection factor and substrate of water base, while water quality parameter measured in situ included depth, brightness, temperature, dissolved oxygen (DO) salinity, pH and current velocity. Phosphate, nitrate and total suspended solid (TSS) were measured. Tide measurements were measured every hour for 24 hours. Data analysis used conformity matrices that included scores and weights for the determination of conformity classes. Class suitability was used to describe the suitability of seaweed. The results showed that the waters of the NSMEC development zone were in class S1 meaning very suitable for seaweed cultivation location. The analysis results of each station found that 4 stations were very suitable. As conclusion, water environment and water quality parameters of the waters of North Sulawesi Marine Education Center development area located at Marine Field Station FPIK UNSRAT were categorized as very suitable for seaweed cultivation, Ulva sp.Keywords: Ulva sp., feasibility analysis, water quality, location suitability

Relationship between water quality parameters and land use of a small Amazonian catchment

2020 ◽  
Vol 6 (4) ◽  
Author(s):  
Raimunda da Silva e Silva ◽  
Claudio José Cavalcante Blanco ◽  
Igor Campos da Silva Cavalcante ◽  
Luiza Carla Girard Mendes Teixeira ◽  
Lindemberg Lima Fernandes ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Quality Parameters ◽  
Water Quality Parameters
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