Filtering by
- All Subjects: Colorado River Basin
- Creators: Wang, Zhihua
- Creators: Lohse, Kathleen A
More than half of all accessible freshwater has been appropriated for human use, and a substantial portion of terrestrial ecosystems have been transformed by human action. These impacts are heaviest in urban ecosystems, where impervious surfaces increase runoff, water delivery and stormflows are managed heavily, and there are substantial anthropogenic sources of nitrogen (N). Urbanization also frequently results in creation of intentional novel ecosystems. These "designed" ecosystems are fashioned to fulfill particular needs of the residents, or ecosystem services. In the Phoenix, Arizona area, the augmentation and redistribution of water has resulted in numerous component ecosystems that are atypical for a desert environment. Because these systems combine N loading with the presence of water, they may be hot spots of biogeochemical activity. The research presented here illustrates the types of hydrological modifications typical of desert cities and documents the extent and distribution of common designed aquatic ecosystems in the Phoenix metropolitan area: artificial lakes and stormwater retention basins. While both ecosystems were designed for other purposes (recreation/aesthetics and flood abatement, respectively), they have the potential to provide the added ecosystem service of N removal via denitrification. However, denitrification in urban lakes is likely to be limited by the rate of diffusion of nitrate into the sediment. Retention basins export some nitrate to groundwater, but grassy basins have higher denitrification rates than xeriscaped ones, due to higher soil moisture and organic matter content. An economic valuation of environmental amenities demonstrates the importance of abundant vegetation, proximity to water, and lower summer temperatures throughout the region. These amenities all may be provided by designed, water-intensive ecosystems. Some ecosystems are specifically designed for multiple uses, but maximizing one ecosystem service often entails trade-offs with other services. Further investigation into the distribution, bundling, and tradeoffs among water-related ecosystem services shows that some types of services are constrained by the hydrogeomorphology of the area, while for others human engineering and the creation of designed ecosystems has enabled the delivery of hydrologic ecosystem services independent of natural constraints.
The model developed simultaneously determines the peak stormwater inflow from watershed parameters and optimizes the size of the basin and the number and depth of dry wells based on infiltration, evapotranspiration (ET), and dry well characteristics and cost inputs. The modified rational method is used for the design storm hydrograph, and the Green-Ampt method is used for infiltration. ET rates are calculated using the Penman Monteith method or the Hargreaves-Samani method. The dry well flow rate is determined using an equation developed for reverse auger-hole flow.
The first phase of development of the model is to expand a nonlinear programming (NLP) for the optimal design of infiltration basins for use with bioretention basins. Next a single dry well is added to the NLP bioretention basin optimization model. Finally the number of dry wells in the basin is modeled as an integer variable creating a MINLP problem. The NLP models and MINLP model are solved using the General Algebraic Modeling System (GAMS). Two example applications demonstrate the efficiency and practicality of the model.
United States have led to significant modifications in its environment at local and
regional scales. Both local and regional climate changes are expected to have massive
impacts on the hydrology of Colorado River Basin (CRB), thereby accentuating the need
of study of hydro-climatic impacts on water resource management in this region. This
thesis is devoted to understanding the impact of land use and land cover (LULC) changes
on the local and regional hydroclimate, with the goal to address urban planning issues
and provide guidance for sustainable development.
In this study, three densely populated urban areas, viz. Phoenix, Las Vegas and
Denver in the CRB are selected to capture the various dimensions of the impacts of land
use changes on the regional hydroclimate in the entire CRB. Weather Research and
Forecast (WRF) model, incorporating the latest urban modeling system, is adopted for
regional climate modeling. Two major types of urban LULC changes are studied in this
Thesis: (1) incorporation of urban trees with their radiative cooling effect, tested in
Phoenix metropolitan, and (2) projected urban expansion in 2100 obtained from
Integrated Climate and Land Use Scenarios (ICLUS) developed by the US
Environmental Protection Agency for all three cities.
The results demonstrated prominent nocturnal cooling effect of due to radiative
shading effect of the urban trees for Phoenix reducing urban surface and air temperature
by about 2~9 °C and 1~5 °C respectively and increasing relative humidity by 10~20%
during an mean diurnal cycle. The simulations of urban growth in CRB demonstratedii
nocturnal warming of about 0.36 °C, 1.07 °C, and 0.94 °C 2m-air temperature and
comparatively insignificant change in daytime temperature, with the thermal environment
of Denver being the most sensitive the urban growth. The urban hydroclimatic study
carried out in the thesis assists in identifying both context specific and generalizable
relationships, patterns among the cities, and is expected to facilitate urban planning and
management in local (cities) and regional scales.
southwestern United States. A key step to reduce the uncertainty of future streamflow
projections in the CRB is to evaluate the performance of historical simulations of General
Circulation Models (GCMs). In this study, this challenge is addressed by evaluating the
ability of nineteen GCMs from the Coupled Model Intercomparison Project Phase Five
(CMIP5) and four nested Regional Climate Models (RCMs) in reproducing the statistical
properties of the hydrologic cycle and temperature in the CRB. To capture the transition
from snow-dominated to semiarid regions, analyses are conducted by spatially averaging
the climate variables in four nested sub-basins. Most models overestimate the mean
annual precipitation (P) and underestimate the mean annual temperature (T) at all
locations. While a group of models capture the mean annual runoff at all sub-basins with
different strengths of the hydrological cycle, another set of models overestimate the mean
annual runoff, due to a weak cycle in the evaporation channel. An abrupt increase in the
mean annual T in observed and most of the simulated time series (~0.8 °C) is detected at
all locations despite the lack of any statistically significant monotonic trends for both P
and T. While all models simulate the seasonality of T quite well, the phasing of the
seasonal cycle of P is fairly reproduced in just the upper, snow-dominated sub-basin.
Model performances degrade in the larger sub-basins that include semiarid areas, because
several GCMs are not able to capture the effect of the North American monsoon. Finally,
the relative performances of the climate models in reproducing the climatologies of P and
T are quantified to support future impact studies in the basin.