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

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.

2006 ◽  
Vol 174 (1-4) ◽  
pp. 161-179 ◽  
Author(s):  
T. Tsegaye ◽  
D. Sheppard ◽  
K. R. Islam ◽  
W. Tadesse ◽  
A. Atalay ◽  
...  

2012 ◽  
Vol 60 (1) ◽  
pp. 33-44 ◽  
Author(s):  
Bahman Amiri ◽  
K. Sudheer ◽  
Nicola Fohrer

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.


2021 ◽  
Vol 109 ◽  
pp. 105679
Author(s):  
António Carlos Pinheiro Fernandes ◽  
Lisa Maria de Oliveira Martins ◽  
Fernando António Leal Pacheco ◽  
Luís Filipe Sanches Fernandes

2006 ◽  
Vol 35 (2) ◽  
pp. 617-627 ◽  
Author(s):  
A. Hayakawa ◽  
M. Shimizu ◽  
K. P. Woli ◽  
K. Kuramochi ◽  
R. Hatano

2020 ◽  
Vol 12 (14) ◽  
pp. 5500 ◽  
Author(s):  
Yu Song ◽  
Xiaodong Song ◽  
Guofan Shao

Intense human activities and drastic land use changes in rapidly urbanized areas may cause serious water quality degradation. In this study, we explored the effects of land use on water quality from a landscape perspective. We took a rapidly urbanized area in Hangzhou City, China, as a case study, and collected stream water quality data and algae biomass in a field campaign. The results showed that built-up lands had negative effects on water quality and were the primary cause of stream water pollution. The concentration of total phosphorus significantly correlated with the areas of residential, industrial, road, and urban greenspace, and the concentration of chlorophyll a also significantly correlated with the areas of these land uses, except residential land. At a landscape level, the correlation analysis showed that the landscape indices, e.g., dominance, shape complexity, fragmentation, aggregation, and diversity, all had significant correlations with water quality parameters. From the perspective of land use, the redundancy analysis results showed that the percentages of variation in water quality explained by the built-up, forest and wetland, cropland, and bareland decreased in turn. The spatial composition of the built-up lands was the main factor causing stream water pollution, while the shape complexities of the forest and wetland patches were negatively correlated with stream water pollution.


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