Scale-dependence effects of landscape on seasonal water quality in Xitiaoxi catchment of Taihu Basin, China

2014 ◽  
Vol 71 (1) ◽  
pp. 59-66 ◽  
Author(s):  
Huihua Lv ◽  
Youpeng Xu ◽  
Longfei Han ◽  
Feng Zhou
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Riparian Zone ◽  
Water Quality Management ◽  
Landscape Configuration ◽  
Stepwise Multiple Regression ◽  
Data Set ◽  
Minimum Width ◽  
Xitiaoxi Catchment ◽  
Landscape Attributes

Further understanding the mechanisms of landscape–water interactions is of great importance to water quality management in the Xitiaoxi catchment. Pearson's correlation analysis, stepwise multiple regression and redundancy analysis were adopted in this study to investigate the relation between water quality and landscape at the sub-catchment and 200 m riparian zone scales during dry and wet seasons. Landscape was characterized by natural environmental factors, land use patterns and four selected landscape configuration metrics. The obtained results indicated that land use categories of urban and forest were dominant landscape attributes, which influenced water quality. Natural environment and landscape configuration were overwhelmed due to land management activities and hydrologic conditions. In general, the landscape of the 200 m riparian zone appeared to have slightly greater influence on water than did the sub-catchment, and water quality was slightly better explained by all landscape attributes in the wet season than in the dry season. The results suggested that management efforts aimed at maintaining and restoring river water quality should currently focus on the protection of riparian zones and the development of an updated long-term continuous data set and higher resolution digital maps to discuss the minimum width of the riparian zone necessary to protect water quality.

scholarly journals Influence of the land use on the water quality in the So Joo and Iguau Rivers, state of Paran, Brazil: assessment of the importance of the riparian zone

2016 ◽  
Vol 11 (1) ◽  
pp. 48-56 ◽  
Author(s):  
Kehrwald Fruet Thomas ◽  
Gisele da Silva Pinto Fabiana ◽  
Moretto Yara ◽  
Dayane Weber La iacute s ◽  
Camila Scur Mayara ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Riparian Zone ◽  
Rivers State

scholarly journals Application of multivariate statistical techniques in the water quality assessment of Danube river, Serbia

2015 ◽  
Vol 41 (4) ◽  
pp. 96-103 ◽  
Author(s):  
Danijela Voza ◽  
Milovan Vukovic ◽  
Ljiljana Takic ◽  
Djordje Nikolic ◽  
Ivana Mladenovic-Ranisavljevic
Keyword(s):  
Water Quality ◽  
Water Quality Management ◽  
Surface Water Quality ◽  
Principal Component ◽  
Water Quality Assessment ◽  
Water Quality Monitoring ◽  
Danube River ◽  
Multivariate Techniques ◽  
Data Set ◽  
Political Issue

AbstractThe aim of this article is to evaluate the quality of the Danube River in its course through Serbia as well as to demonstrate the possibilities for using three statistical methods: Principal Component Analysis (PCA), Factor Analysis (FA) and Cluster Analysis (CA) in the surface water quality management. Given that the Danube is an important trans-boundary river, thorough water quality monitoring by sampling at different distances during shorter and longer periods of time is not only ecological, but also a political issue. Monitoring was carried out at monthly intervals from January to December 2011, at 17 sampling sites. The obtained data set was treated by multivariate techniques in order, firstly, to identify the similarities and differences between sampling periods and locations, secondly, to recognize variables that affect the temporal and spatial water quality changes and thirdly, to present the anthropogenic impact on water quality parameters.

The land use plan and water quality prediction for the Saemangeum reclamation project

2009 ◽  
Vol 59 (7) ◽  
pp. 1397-1408 ◽  
Author(s):  
D. H. Hwang ◽  
J. Y. Choi ◽  
S. M. Yi ◽  
D. H. Han ◽  
S. H. Jang
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Water Quality Management ◽  
Treated Wastewater ◽  
High Concentration ◽  
Reclaimed Land ◽  
Chl A ◽  
Reclamation Project ◽  
Land Use Plan

As the final closure of the world's longest sea dike of 33 km, the use of the Saemangeum reclaimed land becomes an issue in Korea. The Korean government has proclaimed that the Saemangeum Reclamation Project will be handled in an environmentally friendly manner but its effect on the water quality of reservoirs has always been controversial. This study was conducted to estimate the water quality of the Saemangeum reservoir using WASP5 according to the new land use plan adopted in 2007. Predictions on water quality shows that Dongjin reservoir would meet the standards for COD, T-P, and Chl-a if the wastewater from the Dongjin region was properly managed. However, T-P and Chl-a in Mangyeong reservoir would exceed the standards even without releasing the treated wastewater into the reservoir. With further reductions of 20% for T-P and Chl-a from the mouth of Mangyeong river, the water quality standards in the reservoir were achieved. This means that additional schemes, as well as water quality management programs established in the Government Master Plan in 2001, should be considered. Although the Saemangeum reservoir would manage to achieve the standards, it will enter a eutrophic state due to the high concentration of nutrients.

scholarly journals Evaluation of the performance of multiple water quality loading index systems for Sapgyo River / by Faizul Hasan.

2021 ◽  
Author(s):  
Faizul Hasan
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Quality Management System ◽  
Water Quality Management ◽  
Data Set ◽  
Study Results ◽  
Canadian Council ◽  
Using Data ◽  
Council Of Ministers

To enhance the sustainability of [the] water-quality-management system, the modeling results of simulated pollutants are needed to translate into an understandable single unit water quality index to help decision-makers. QUAL2E model is helpful in translating the results of simulated pollutants into a single water quality rating unit termed as "QUAL2E water quality loading index (QUAL2I)". This approach is adopted to evaluate the performance of National Sanitation Foundation’s Water Quality Index (NSFWQI) and Canadian Council of Ministers of the Environment’s Water Quality Index (CCMEWQI) using data set of Sapgyo River. CCMEWQI results are found better, especially for meeting the desired quality objectives. Additionally, a decision-making process has been suggested based on better found QWQLI result to maintain the whole river channel at acceptable water quality standards. The study results imply that further study should be carried out using [a] minimum [of] four variables, each having at least four test samples to compute QWQLI using CCMEWQI approach.

scholarly journals Evaluation of the performance of multiple water quality loading index systems for Sapgyo River / by Faizul Hasan.

2021 ◽  
Author(s):  
Faizul Hasan
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Quality Management System ◽  
Water Quality Management ◽  
Data Set ◽  
Study Results ◽  
Canadian Council ◽  
Using Data ◽  
Council Of Ministers

To enhance the sustainability of [the] water-quality-management system, the modeling results of simulated pollutants are needed to translate into an understandable single unit water quality index to help decision-makers. QUAL2E model is helpful in translating the results of simulated pollutants into a single water quality rating unit termed as "QUAL2E water quality loading index (QUAL2I)". This approach is adopted to evaluate the performance of National Sanitation Foundation’s Water Quality Index (NSFWQI) and Canadian Council of Ministers of the Environment’s Water Quality Index (CCMEWQI) using data set of Sapgyo River. CCMEWQI results are found better, especially for meeting the desired quality objectives. Additionally, a decision-making process has been suggested based on better found QWQLI result to maintain the whole river channel at acceptable water quality standards. The study results imply that further study should be carried out using [a] minimum [of] four variables, each having at least four test samples to compute QWQLI using CCMEWQI approach.

Landscape metrics as indicators of river water quality at catchment scale

2007 ◽  
Vol 38 (2) ◽  
pp. 125-138 ◽  
Author(s):  
Evelyn Uuemaa ◽  
Jüri Roosaare ◽  
Ülo Mander
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Landscape Metrics ◽  
Urban Areas ◽  
Shape Index ◽  
Landscape Configuration ◽  
Edge Density ◽  
Total N ◽  
Mean Shape ◽  
Total P

We investigated the relationship between land use parameters and FRAGSTATS-based landscape metrics (Edge Density, Patch Density, Mean Shape Index, Mean Euclidean Nearest Neighbour Index, Contagion, Patch Richness Density and Shannon's Diversity Index) and nutrient/organic-matter-based water quality indicators (BOD7 and CODKMnO4 values, total-N and total-P concentrations in water) in 24 catchments with various land use patterns in Estonia, using the CORINE Land Cover Map (1:100 000). Multiple regression analysis showed that, for BOD7, total-N and total-P, the most important predictor was the proportion of urban areas, but landscape metrics also had a significant relationship with water quality. Mean Shape Index and Contagion were the most important predictors for CODKMnO4. The knowledge that land use and landscape configuration impact water quality can be used in establishing and implementing water management plans in Europe.

scholarly journals Exploring the Spatial Variation of the Relationship between Land Use and Water Quality in a Drainage Basin Using Geographically Weighted Regression

2020 ◽  
Vol 12 (2) ◽  
pp. 147-168
Author(s):  
Samuel Azua ◽  
Taiye Oluwafemi Adewuyi ◽  
Lazarus Mustapha Ojigi ◽  
Omafuvwe Joseph Mudiare
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Geographically Weighted Regression ◽  
Drainage Basin ◽  
Water Quality Management ◽  
Mixed Forest ◽  
Weighted Regression ◽  
Landsat 8 ◽  
Sample Points ◽  
The Relationship

The focus of this study is to determine the relationship between land use and water quality in the River Mu drainage basin for effective water quality management. Various land uses in the study area were identified and mapped using Landsat 8 OLI of 2016. Water samples were also collected from 112 sample sites using Stratified Random Sampling methods. The samples were analysed in terms of physicochemical parameters using standard methods. The results of land use and water quality parameters were regressed using Geographically Weighted Regression (GWR) to determine whether there exist spatially varying relationships. The results revealed that the local R2 values varied between 0.0 and 0.5, indicating a weak relationship between land use and water pollution, except for mixed forest and pH which recorded local R2 values of 0.7 towards the western region of the study area. This shows that the relationship between the two variables varied spatially across the drainage basin. The one-sample Kolmogorov Smirmov test-p<0.05 revealed that there were significant differences in pH (0.00), EC (0.00), turbidity (0.001), TDS (0.048), DO (0.003), NH4+ (0.002), Ca2+ (0.00), Cl- (0.036), Fe3+ (0.00) and Cr2+ (0.039) across the different sample points, whereas K+ (0.134), PO43- (0.715) and NO3- (0.501) were not significantly different across the different sample points. The study recommended that the procedure for water management be localized to sub-catchment and basin levels, to provide adequate attention to each sub-catchment depending on the level and nature of pollution identified.

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