scholarly journals Effect of Agricultural Land Use on the Water Quality of Polish Lakes: a Regional Approach

2016 ◽  
Vol 25 (6) ◽  
pp. 2705-2710 ◽  
Author(s):  
Wojciech Sobolewski
2014 ◽  
Vol 46 (3) ◽  
pp. 429-445 ◽  
Author(s):  
Nicholas Jones ◽  
Chris Parker

The water quality of Icelandic rivers is controlled by a number of natural and anthropogenic factors interacting at complex spatial and temporal scales. This article presents the findings of a study into the water quality of two Icelandic rivers; the Blanda and the Skjálfandafljót. The study investigated the impact of three of the factors influencing water quality in these rivers: impoundment for hydro-electric power generation; agricultural land use; and the presence of glacial and periglacial areas. The results indicate that impoundment within a reservoir was responsible for a significant reduction in turbidity and a significant drop in aluminium concentrations as the reservoir acted as a sediment trap and chemical sink. Agricultural land use was found to have no significant effect on the nitrate or phosphate concentrations. Increasing glacial influence was found to be associated with increased turbidity but decreased total dissolved solids. Finally, the presence of permafrost soils in the periglacial highlands of the Blanda was positively associated with aluminium concentrations.


2018 ◽  
Vol 73 ◽  
pp. 06004 ◽  
Author(s):  
Oktariani Alvira ◽  
Kusratmoko Eko ◽  
Kuswantoro

Water is very valuable resources that provide people and other living things. Besides the need for water for drinking, water resources play an important role in such as livestock, fisheries, water for irrigation and water recreation. However, water quality of the rivers may degrade due to the variation of land use as human activities increase. Cilutung watershed is dominated by the agricultural land use which in many studies shows that agricultural land use has a great impact on river deterioration. It does not affect only the physicochemical of water, the excessive amount of nutrient may harm the biotic ecosystem. The purpose of this study was assessing water quality of the rivers in Cilutung Watershed and the contributing factors using physicochemical and biological parameters. According to ANOVA and PPM calculations, water quality was affected by land use spatially and river discharge temporally. The overall results showed that the rivers were categorized as slightly polluted referring to WQI, BMWP, and Saprobic Index. In general, all water quality parameters measured in Cilutung watershed met water quality standard Class III as stipulated in Indonesia Government Regulation No. 82/2001. Therefore, water sources were still acceptable for fisheries, animal husbandry, and water for irrigation.


2012 ◽  
Vol 31 ◽  
pp. 9-14 ◽  
Author(s):  
B. B. Mehdi ◽  
R. Ludwig ◽  
B. Lehner

Abstract. Land use scenarios are of primordial importance when implementing a hydrological model for the purpose of determining the future quality of water in a watershed. This paper provides the background for researching potential agricultural land use changes that may take place in a mesoscale watershed, for water quality research, and describes why studying the farm scale is important. An on-going study in Bavaria examining the local drivers of change in land use is described.


2020 ◽  
Vol 12 (9) ◽  
pp. 3510 ◽  
Author(s):  
Dechao Chen ◽  
Acef Elhadj ◽  
Hualian Xu ◽  
Xinliang Xu ◽  
Zhi Qiao

Many catchments in northern Algeria, including the coastal Mitidja Basin in the north central part of the country have been negatively affected by the deterioration of water quality in recent years. This study aims to discover the relationship between land use change and its impact on water quality in the coastal Mitidja river basin. Based on the data of land use and water quality in 2000, 2010 and 2017, the relationship between land use change and surface water quality index in the Mitidja Watershed was discussed through GIS and statistical analysis. The results show that the physical and chemical properties of the Mitidja river basin have obvious spatial heterogeneity. The water quality of upstream was better than that of downstream. There was a significant spatial relationship between the eight water quality indicators and three land use types, including urban residential land, agricultural land and vegetation. In most cases, settlements and agricultural land are the dominant factors leading to river pollution, and higher vegetation coverage helps to improve water quality. The regression model revealed that percentage of urban settlement area was a predictor for NH4-N, BOD5, COD, SS, PO4-P, DO and pH, while vegetation was a predictor for NO3-N. The analysis also showed that during this period, urban settlement areas increased sharply, which has a significant impact on water quality variables. Agricultural land only had a significant positive correlation with PO4-P. The results provide an effective way to evaluate river water quality, control water pollution and land use management by landscape pattern.


2005 ◽  
Vol 20 (3) ◽  
pp. 136-147 ◽  
Author(s):  
Nevin Akpinar ◽  
Ilkden Talay ◽  
Sema Gun

AbstractEven in developing countries that are faced with ecological and socio-economic problems, agricultural areas are constrained by land-use laws to be developed in particular ways. This being the case, the major issues in these areas are a better quality of life and sustainable use of the limited resources. This necessitates planning for sustainable development and evaluating various qualitative and quantitative data in a single framework. Multicriteria or multipurpose decision analysis methods are appropriate for this purpose. Using these methods, physical, economical and social data, as well as planning goals, can be combined and evaluated in the context of sustainable development. These multicriteria methods have been documented widely in a variety of problem areas, but two multicriteria methods, namely AHP (analytic hierarchy process) and ELECTRE II (elimination and choice translating reality), have not been used extensively in agricultural land-use decisions in developing countries. However, in situations where decision-making criteria are non-commensurable, non-comparable or non-countable, and when it is necessary to evaluate the criteria together, as in agricultural land-use decisions, AHP and ELECTRE II methods are warranted. This study reviews these methods briefly and suggests their potential application in the agricultural land-use decision process in a developing country. For this purpose, these methods were sampled in Ziyaret Stream Basin in Adiyaman, which is part of the Güneydoğu Anadolu Projesi (GAP) (South-eastern Anatolian Project) in the Republic of Turkey. The area could be characterized by its rural and agricultural features, although it is under the pressure of Adiyaman urban development. This study shows that both AHP and ELECTRE II methods can be applied successfully for the determination of agricultural land-use priorities, which are an essential part of the quality of life and of sustainable land-use studies.


2014 ◽  
Vol 41 (3) ◽  
pp. 431-459 ◽  
Author(s):  
C. L. Kling ◽  
Y. Panagopoulos ◽  
S. S. Rabotyagov ◽  
A. M. Valcu ◽  
P. W. Gassman ◽  
...  

2016 ◽  
Author(s):  
Awoke D. Teshager ◽  
Philip W. Gassman ◽  
Justin T. Schoof ◽  
Silvia Secchi

Abstract. Modeling impacts of agricultural scenarios and climate change on surface water quantity and quality provides useful information for planning effective water, environmental, and land use policies. Despite the significant impacts of agriculture on water quantity and quality, limited literature exists that describes the combined impacts of agricultural land use change and climate change on future bioenergy crop yields and watershed hydrology. In this study, the Soil and Water Assessment Tool (SWAT) eco-hydrological model was used to model the combined impacts of five agricultural land use change scenarios and three downscaled climate pathways (representative concentration pathways, RCPs) that were created from an ensemble of eight atmosphere-ocean general circulation models (AOGCMs). These scenarios were implemented in a well calibrated SWAT model for the Raccoon River watershed (RRW) located in western Iowa. The scenarios were executed for the historical baseline, early-century, mid-century, and late-century periods. The results indicate that historical and more corn intensive agricultural scenarios with higher CO2 emissions consistently result in more water in the streams and greater water quality problems, especially late in the 21st century. Planting more switchgrass, on the other hand, results in less water in the streams and water quality improvements relative to the baseline. For all given agricultural landscapes simulated, all flow, sediment and nutrient outputs increase from early-to-late century periods for the RCP4.5 and RCP8.5 climate scenarios. We also find that corn and switchgrass yields are negatively impacted under RCP4.5 and RCP8.5 scenarios in the mid and late 21st century.


Author(s):  
David J. Connell

Continuous efforts by governments to protect agricultural land has resulted in a mix of interests, policies, and outcomes. Through this paper, our aims are to evaluate provincial legislative frameworks across Canada and to improve our understanding of why some provincial legislative frameworks to protect agricultural land are better than others. In our study, we evaluated and compared the strength of ten provincial legislative frameworks for agricultural land use planning. Our results show that Québec, British Columbia, and Ontario have the strongest legislative frameworks to protect agricultural land, while the rest of Canada’s provinces have only a moderate to weak policy focus. This situation leaves most of Canada’s agricultural land highly exposed to more conversion and non-farm uses. The results also illustrate how key elements of a legislative framework interact, serving to either enhance or detract from overall strength of policy focus, thereby informing a strategic approach to policy development.


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