Showing papers by "Timothy O. Randhir published in 2008"
TL;DR: In this article, the authors used a continuous simulation model to evaluate potential implications of increasing temperature on water quantity and quality at a regional scale in the Connecticut River Watershed of New England.
Abstract: Climate-induced increase in surface temperatures can impact hydrologic processes of a watershed system. This study uses a continuous simulation model to evaluate potential implications of increasing temperature on water quantity and quality at a regional scale in the Connecticut River Watershed of New England. The increase in temperature was modeled using Intergovernmental Panel on Climate Change (IPCC) high and low warming scenarios to incorporate the range of possible temperature change. It was predicted that climate change can have a significant affects on streamflow, sediment loading, and nutrient (nitrogen and phosphorus) loading in a watershed. Climate change also influences the timing and magnitude of runoff and sediment yield. Changes in variability of flows and pollutant loading that are induced by climate change have important implications on water supplies, water quality, and aquatic ecosystems of a watershed. Potential impacts of these changes include deficit supplies during peak seasons of water demand, increased eutrophication potential, and impacts on fish migration.
157 citations
TL;DR: In this article, the authors evaluated potential implications of land cover change on the hydrology of a regional watershed by using Markov Chain analysis and Cellular Automation to assess future land cover based on transitional probabilities and spatial influences.
Abstract: [1] A continued challenge in watershed management is information related to future land cover and its impact on watersheds Changes in land cover can have significant impact on the quality and quantity of water resources, both spatially and temporally This study evaluates potential implications of land cover change on the hydrology of a regional watershed Land cover change is evaluated by using Markov Chain analysis and Cellular Automation to assess future land cover based on transitional probabilities and spatial influences The hydrology of the watershed is simulated using a continuous time simulation model The land cover change was found to be significant in the watershed with increased urbanization and loss of agricultural and forest cover Land cover change increased overall surface runoff, stream flow, and sediment loading Potential land cover changes impact the timing and magnitude of seasonal events In addition to temporal variation in impacts, spatial impacts varied among subwatersheds and administrative boundaries Opportunities were identified for mitigating the impacts of land cover change through best management practices and policies that incorporate watershed-scale information to reduce impacts of changing in land cover on water quantity and quality
46 citations