Causal Connections between Water Quality and Land Use in a Rural Tropical Island Watershed

Ragosta, Guy; Evensen, Carl; Atwill, Edward R.; Walker, Mark J.; Ticktin, Tamara; Asquith, Adam; Tate, Kenneth W.

doi:10.1007/s10393-010-0299-9

Cited by 21 publications

(19 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Intact riparian zones can effectively protect and improve river water quality (Collins et al, 2013;Randhir and Ekness, 2013). Reduction in vegetation density in riparian zones can increase the amount of amino nitrogen, total phosphorus and dissolved phosphorus in river water (Ragosta et al, 2010). In this study, the extent of natural vegetation cover in the 1000-m riparian zone had a significant positive influence on river water quality, explaining 36.2% of the variance of river water quality in the Haihe River Basin (Fig.…”

Section: Discussionmentioning

confidence: 78%

“…Conversely, reduction in vegetation density in riparian zones can result in increased amounts of fecal bacteria in surface water (Ragosta et al, 2010). Ding et al (2013) found that at the 100-500 m scale, the grassland in riparian zones can significantly decrease the conductivity and total dissolved solids concentration in water; at the 25-500 m scale, the farmland and residential land have significantly negative correlation with the river water quality parameters.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Relationships between river water quality and landscape factors in Haihe River Basin, China: Implications for environmental management

Zheng

Chen

et al. 2016

Chin. Geogr. Sci.

View full text Add to dashboard Cite

River water plays a key role in human health, and in social and economic development, and is often affected by both natural factors and human activities. An in-depth understanding of the role of these factors can help in developing an effective catchment management strategy to protect precious water resources. This study analyzed river water quality, patterns of terrestrial and riparian ecosystems, intensity of agricultural activities, industrial structure, and spatial distribution of pollutant emissions in the Haihe River Basin in China for the year of 2010, identifying the variables that have the greatest impact on river water quality. The area percentage of farmland in study area, the percentage of natural vegetation cover in the 1000-m riparian zone, rural population density, industrial Gross Domestic Product (GDP)/km 2 , and industrial amino nitrogen emissions were all significantly correlated with river water quality (P < 0.05). Farming had the largest impact on river water quality, explaining 43.0% of the water quality variance, followed by the coverage of natural vegetation in the 1000-m riparian zone, which explained 36.2% of the water quality variance. Industrial amino nitrogen emissions intensity and rural population density explained 31.6% and 31.4% of the water quality variance, respectively, while industrial GDP/km 2 explained 26.6%. Together, these five indicators explained 67.3% of the total variance in water quality. Consequently, water environmental management of the Haihe River Basin should focus on adjusting agricultural activities, conserving riparian vegetation, and reducing industrial pollutant emissions by optimizing industrial structure. The results demonstrate how human activities drive the spatial pattern changes of river water quality, and they can provide reference for developing land use guidelines and for prioritizing management practices to maintain stream water quality in a large river basin. Keywords: land use; watershed management; river water quality; gradient analysis Citation: Xu Huashan, Zheng Hua, Chen Xiaoshu, Ren Yufen, Ouyang Zhiyun, 2016. Relationships between river water quality and landscape factors in Haihe River Basin, China: implications for environmental management.

show abstract

Section: Discussionmentioning

confidence: 78%

Section: Introductionmentioning

confidence: 99%

Relationships between river water quality and landscape factors in Haihe River Basin, China: Implications for environmental management

Zheng

Chen

et al. 2016

Chin. Geogr. Sci.

View full text Add to dashboard Cite

show abstract

“…In stretches #2 and #8, pasture area was observed; in stretch #7, there was a recreation area, while in stretch #12, there were sugarcane crops. The removal of river vegetation is associated with an increase of the organic load in the river water and increased occurrences of Enterococcus spp., notably in locations near pastures (Ragosta et al 2010).…”

Section: Hydromorphological Assessmentmentioning

confidence: 99%

Integrating three tools for the environmental assessment of the Pardo River, Brazil

Machado

Alves

Fregonesi

et al. 2015

Environ Monit Assess

View full text Add to dashboard Cite

There is a growing need for strategic assessment of environmental conditions in river basins around the world. In spite of the considerable water resources, Brazil has been suffering from water quality decrease in recent years. Pardo River runs through Minas Gerais and São Paulo, two of the most economically important states in Brazil, and is being currently promoted as a future drinking water source. This study aimed at integrating three different tools to conduct a hydromorphological assessment focused on the spatial complexity, connectivity, and dynamism of the Pardo River, Brazil. Twelve sampling stretches were evaluated in four sampling campaigns, in dry and rainy seasons. In each stretch, permanent preservation areas (PPAs), hydromorphological integrity by rapid assessment protocol (RAP), and physicochemical parameters were qualified. The kappa coefficient was used to assess statistical agreement among monitoring tools. The PPA analysis showed that in all stretches, the vegetation was modified. RAP results revealed environmental deterioration in stretches located near human activities and less variability of substrates available for aquatic fauna and sediment deposition as well. Low values for dissolved oxygen in the river mouth were noted in the rainy season. Electrical conductivity was higher in stretches near sugarcane crops. The poor agreement (k<0.35) between the RAP and physicochemical parameters indicates that the tools generate different and complementary information, while they are not replaceable. Potential changes of the hydromorphological characteristics and variations in physicochemical indicators must be related to extensive PPA modification.

show abstract

“…These diseases are one of the major causes of increased morbidity and mortality in the world. According to the World Health Organization (2006) [21], one third of the world population suffers from diseases derived from contaminated unsafe water supply and about 13 million people die every year from waterborne infections; of these, 2 million are children. The majority of these deaths occur in developing countries.…”

Section: Introductionmentioning

confidence: 99%

Study of Microbial Pollution in River Beehar Water District Rewa Madhya Pradesh, India

Singh¹,

Mishra²,

Dwivedi³

2017

IJERA

View full text Add to dashboard Cite

Water is one of the best gifts to all living creature, given by nature. It is compulsory for the growth and maintenance of human body and also for many biological activities. It plays a vital role for the survival of all forms of life of earth and works as a universal solvent. Pollution is caused when a change in the physical, chemical or biological condition in the environment harmfully affect quality of human life including other animal's life and plant The quality of water is typically determined by monitoring microbial presence, especially total coliforms, fecal coliforms and fecal streptococci. The total coliform count varied in the range of 836-1987.43 MPN/100 ml, 743-981 MPN/100ml, 1115.4 to 2010 MPN/100 ml; fecal coliform varied in the range of 763-1947.61 MPN/100 ml, 547-979 MPN/100 ml and 1057 to 1378 MPN/100 ml and fecal streptococci varied in the range of 881-1969.53 and 832.63-1098.86 MPN/100 ml, 1155 to 1512 MPN/100 ml during winter, summer and rainy season, respectively.

show abstract

Causal Connections between Water Quality and Land Use in a Rural Tropical Island Watershed

Cited by 21 publications

References 14 publications

Relationships between river water quality and landscape factors in Haihe River Basin, China: Implications for environmental management

Relationships between river water quality and landscape factors in Haihe River Basin, China: Implications for environmental management

Integrating three tools for the environmental assessment of the Pardo River, Brazil

Study of Microbial Pollution in River Beehar Water District Rewa Madhya Pradesh, India

Contact Info

Product

Resources

About