scholarly journals Sediment Yield by Category

2018 ◽  
Author(s):  
Adrian Barranco-Fabre
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Treatment Cost ◽  
Land Use Changes ◽  
Information Access ◽  
Nutrient Pollution ◽  
Time Interval ◽  
Urban Water ◽  
The One ◽  
Water Treatment Cost

The land use greatly influence water quality on the one supplied by watersheds. Land use changes often increase significantly the sedimentation and nutrient pollution. Human activity can generate as well pollutant concentration rising and heavily affect water treatment cost for urban supply. This map shows the total quantity of sediment moving out of a watershed in a given time interval, being expressed as units of tonnes/km2/year, organized into four categories: “Low” if less than 6 tonnes/km2; “Medium” if between 6-40 tonnes/km2; “High” if more than 40 tonnes/km2, and “No information”. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Basin Drinking Water Groundwater Human Settlements Supply Surface water

scholarly journals Phosphorus Yield Category

2018 ◽  
Author(s):  
Adrian Barranco-Fabre
Keyword(s):  
Drinking Water ◽  
Surface Water ◽  
Information Access ◽  
Nutrient Pollution ◽  
Time Interval ◽  
Urban Water ◽  
Concentration Increase ◽  
Human Settlements ◽  
High Nutrient

In cases were the watersheds are exploited for intensive agricultural purposes, as consequence the fertilizer concentration increase. Thus, the fertilizer filters into the water and rise the accumulation of common nutrients, phosphorus and nitrogen, affecting their proper cycle. Around 384 million urbanities receive their drinking water from watersheds with high nutrient pollution. This map shows the total quantity of phosphorous moving out of a watershed in a given time interval, being expressed as units of tonnes/km2/year, organized into four categories: “Low” if less than 8kg/km2; “Medium” if between 8-20 kg/km2; “High” if more 20 kg/km2 and “No Information”. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Basin Drinking Water Groundwater Human Settlements Supply Surface water

Modelling the impacts of climate and land use changes on water quality in the Guadiana basin and the adjacent coastal area

2021 ◽  
Vol 776 ◽  
pp. 146034
Author(s):  
Cira Buonocore ◽  
Juan Jesús Gomiz Pascual ◽  
María Luisa Pérez Cayeiro ◽  
Rafael Mañanes Salinas ◽  
Miguel Bruno Mejías
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Coastal Area ◽  
Land Use Changes ◽  
Guadiana Basin ◽  
Adjacent Coastal Area

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.

scholarly journals Effect of Land Use Changes on Water Quality in an Ephemeral Coastal Plain: Khambhat City, Gujarat, India

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 724 ◽  
Author(s):  
Pankaj Kumar ◽  
Rajarshi Dasgupta ◽  
Brian Johnson ◽  
Chitresh Saraswat ◽  
Mrittika Basu ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Groundwater Quality ◽  
Coastal Plain ◽  
Land Use Changes ◽  
Rapid Expansion ◽  
Barren Land ◽  
Bare Land ◽  
The Impact ◽  
Use Categories

Rapid changes in land use and land cover pattern have exerted an irreversible change on different natural resources, and water resources in particular, throughout the world. Khambhat City, located in the Western coastal plain of India, is witnessing a rapid expansion of human settlements, as well as agricultural and industrial activities. This development has led to a massive increase in groundwater use (the only source of potable water in the area), brought about significant changes to land management practices (e.g., increased fertilizer use), and resulted in much greater amounts of household and industrial waste. To better understand the impacts of this development on the local groundwater, this study investigated the relationship between groundwater quality change and land use change over the 2001–2011 period; a time during which rapid development occurred. Water quality measurements from 66 groundwater sampling wells were analyzed for the years 2001 and 2011, and two water quality indicators (NO3− and Cl− concentration) were mapped and correlated against the changes in land use. Our results indicated that the groundwater quality has deteriorated, with both nitrate (NO3−) and chloride (Cl−) levels being elevated significantly. Contour maps of NO3− and Cl− were compared with the land use maps for 2001 and 2011, respectively, to identify the impact of land use changes on water quality. Zonal statistics suggested that conversion from barren land to agricultural land had the most significant negative impact on water quality, demonstrating a positive correlation with accelerated levels of both NO3− and Cl−. The amount of influence of the different land use categories on NO3− increase was, in order, agriculture > bare land > lake > marshland > built-up > river. Whereas, for higher concentration of Cl− in the groundwater, the order of influence of the different land use categories was marshland > built-up > agriculture > bare land > lake > river. This study will help policy planners and decision makers to understand the trend of groundwater development and hence to take timely mitigation measures for its sustainable management.

scholarly journals Response of Water Quality to Landscape Patterns in an Urbanized Watershed in Hangzhou, China

2020 ◽  
Vol 12 (14) ◽  
pp. 5500 ◽  
Author(s):  
Yu Song ◽  
Xiaodong Song ◽  
Guofan Shao
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Land Use ◽  
Stream Water ◽  
Land Use Changes ◽  
Landscape Patterns ◽  
Quality Data ◽  
Stream Water Quality ◽  
Water Quality Data ◽  
Algae Biomass

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.

scholarly journals Potential Changes of Annual-Averaged Nutrient Export in the South Saskatchewan River Basin under Climate and Land-Use Change Scenarios

Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1438 ◽  
Author(s):  
Luis Morales-Marín ◽  
Howard Wheater ◽  
Karl-Erich Lindenschmidt
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
General Circulation ◽  
Large Scale ◽  
Land Use Changes ◽  
General Circulation Models ◽  
Nutrient Export ◽  
The South ◽  
South Saskatchewan River

Climate and land-use changes modify the physical functioning of river basins and, in particular, influence the transport of nutrients from land to water. In large-scale basins, where a variety of climates, topographies, soil types and land uses co-exist to form a highly heterogeneous environment, a more complex nutrient dynamic is imposed by climate and land-use changes. This is the case of the South Saskatchewan River (SSR) that, along with the North Saskatchewan River, forms one of the largest river systems in western Canada. The SPAtially Referenced Regression On Watershed (SPARROW) model is therefore implemented to assess water quality in the basin, in order to describe spatial and temporal patterns and identify those factors and processes that affect water quality. Forty-five climate and land-use change scenarios comprehended by five General Circulation Models (GCMs) and three Representative Concentration Pathways (RCPs) were incorporated into the model to explain how total nitrogen (TN) and total phosphorus (TP) export could vary across the basin in 30, 60 and 90 years from now. According to model results, annual averages of TN and TP export in the SSR are going to increase in the range 0.9–1.28 kg km − 2 year − 1 and 0.12–0.17 kg km − 2 year − 1 , respectively, by the end of the century, due to climate and land-use changes. Higher increases of TP compared to TN are expected since TP and TN are going to increase ∼36% and ∼21%, respectively, by the end of the century. This research will support management plans in order to mitigate nutrient export under future changes of climate and land use.

Effect of land use and moisture on phosphorus forms in upland stream beds in South Otago, New Zealand

2009 ◽  
Vol 60 (7) ◽  
pp. 619 ◽  
Author(s):  
Richard W. McDowell
Keyword(s):  
Water Quality ◽  
Land Use ◽  
New Zealand ◽  
Land Use Changes ◽  
Surface Water Quality ◽  
Moisture Regime ◽  
Organic P ◽  
Stream Beds ◽  
Total P ◽  
P Bioavailability

Land use can influence stream sediment composition and water quality, whereas moisture status affects sediment phosphorus (P) bioavailability to algae. Declining upland surface-water quality in South Otago, New Zealand, may reflect land-use changes from sheep- to dairy-farming. I sampled sediment (0–20 cm) from streams draining 12 dairy- and 12 sheep-farmed catchments in spring (wet) and autumn (dry). 31P nuclear magnetic resonance (NMR) spectroscopy and the EDTA-fractionation scheme were used to determine different P forms and infer P bioavailability. Significantly more P was present in the sediment of streams draining dairy- than sheep-farmed catchments. Total P did not differ with the moisture regime; however, changes occurred in the following P fractions: acid-soluble organic P, NaOH-P, CaCO3≈P, Fe(OOH)≈P and residual organic P. Extraction for 31P NMR analysis removed 78–85% of sediment total P and isolated five P classes. More bioavailable P such as orthophosphate (23–40% of P extracted) and diesters (2–6% of P extracted) was present in dry than in wet sediments, and in sediments draining dairy streams than in those from sheep-farmed catchments. This indicates substantial reserves of bioavailable P in sediment from these catchments, especially from dairy-farmed catchments, sustaining in-stream P concentrations for many years even without additional P input from land.

scholarly journals The effect of land use changes to discharge extremities in Cimahi Watershed – Upper Citarum Watershed, West Java

2020 ◽  
Vol 148 ◽  
pp. 07002
Author(s):  
Siti Ai Nurhayati ◽  
Arwin Sabar ◽  
Mariana Marselina
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Rock Type ◽  
Land Use Changes ◽  
Base Flow ◽  
Watershed Area ◽  
Landuse Change ◽  
Hydrological Conditions ◽  
The Impact ◽  
Land Changes

The development of cities and regencies in the Cimahi watershed area increases the rate of population growth which results in high land requirements in the Cimahi watershed area. Land se change affects the flow of runoff and debit of the Cimahi River. The purpose of this research is to assess the hydrological function area in the Cimahi watershed, the impact of the land use change and to analyze the effect of landuse change in the Cimahi watershed on the extremity of water resources in terms of both quantity and quality. The natural conservation index and the actual conservation index (IKA and IKC) are used as a parameter to indicate the existing hydrological conditions and ideal hydrological conditions for conservation which are calculated based on rainfall, rock type, slope, height and land use. The results of the conservation index showed that there was a decrease in the value of the IKC from 0.637 in 2000 to 0.608 in 2012. The debit extremity could be seen based on the calculations by moving averages on the debit data, and the resulting maximum debit value was greater and the value of the base flow (baseflow) was getting smaller. Land changes in the Cimahi watershed also had an influence on the river water quality.

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