The Test Study of Iron Ion Migration Characteristics on Pollution Laterite
Issue:
Volume 3, Issue 6, December 2014
Pages:
132-136
Received:
23 November 2014
Accepted:
11 December 2014
Published:
22 December 2014
DOI:
10.11648/j.earth.20140306.11
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Abstract: The environmental geotechnical problems seriously affect the safety of geotechnical structure and the sustainable development of ecology. The pollution of laterite which is widely used in the infrastructure construction in Yunnan has been a grave threat to the safety of the laterite structure and groundwater as a result of the environmental problems. According to the proposed test plan for typical laterite and six ferric sulfate hydrate, different compaction work was prepared under different temperature, different moisture content and pollution for compaction sample of laterite, the concentration change of iron ion was analyzed over time, and characteristics of iron ions about the laterite migration change has been clear. The results of migrating, from the features of migrating change about iron ions, presents: at the same moment, with smaller compaction, higher moisture content, and the higher temperature, the migrating of iron ion in laterite is much faster, the concentration of iron ions is higher in the solution; at different moment, with time prolonged, it increases gradually, and it gradually reduces in the laterite. The research results will offer a theoretical foundation to the prevention and remedy of the laterite pollution in Yunnan, and will be very important in solving the problem of pollution caused by the discharge of pollutants. The results will also provide theoretical guide and technological support for the sustainable development of Yunnan economy and ecology as well as for the future laboratory experiments.
Abstract: The environmental geotechnical problems seriously affect the safety of geotechnical structure and the sustainable development of ecology. The pollution of laterite which is widely used in the infrastructure construction in Yunnan has been a grave threat to the safety of the laterite structure and groundwater as a result of the environmental problem...
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Vegetative Response to Climate Change in the Big Pine Creek Watershed along a 2,500 Meter Elevation Gradient Using Landsat Data
Patrick Shawn Sawyer,
Haroon Stephen
Issue:
Volume 3, Issue 6, December 2014
Pages:
137-146
Received:
16 December 2014
Accepted:
29 December 2014
Published:
6 January 2015
DOI:
10.11648/j.earth.20140306.12
Downloads:
Views:
Abstract: This paper presents a time series study of an alpine ecosystem in the Big Pine Creek watershed in California’s Eastern Sierra Nevada Mountain’s. Seventy five sample sites along a 2,500 meter elevation gradient are analyzed for trends in surface reflectance based on vegetative density using USGS data derived from Landsat imagery for the 1984 through 2013 time frame. Three vegetative indices, NDVI, SAVI, and MSAVI2 as well as the Tasseled Cap transformations for Brightness (TCB), greenness (TCG), and wetness (TCW) are explored. We found that over the time period of the study, significant increases in vegetation are occurring at densely vegetated sites at almost all elevations within the watershed while less change and even some significant declines in vegetation are seen in moderately and sparsely vegetated sites. Sparsely vegetated sites show distinct bifurcation in their response with the lower elevations seeing declines and the upper elevations seeing increases in vegetation. Several sites show significant declines in both the visible and near infrared regions suggesting there are compositional changes taking place consistent with climate induced range shifts. This study provides a useful insight into the ecological response of the Big Pine Creek watershed to recent climate change.
Abstract: This paper presents a time series study of an alpine ecosystem in the Big Pine Creek watershed in California’s Eastern Sierra Nevada Mountain’s. Seventy five sample sites along a 2,500 meter elevation gradient are analyzed for trends in surface reflectance based on vegetative density using USGS data derived from Landsat imagery for the 1984 through...
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