Mapping Dynamic Exposure: Constructing GIS Models of Spatiotemporal Heterogeneity in Artificial Stream Systems

Abstract Development of artificial stream systems has been an on-going research effort in Canada over the past decade. At the National Water Research Institute (NWRI) of Environment Canada, artificial stream systems have been developed to assess the effects of point source effluents on aquatic biota. Initial applications (1990–1994) focused on assessing the effects of pulp mill effluents on benthic invertebrate and algae communities in large western Canadian rivers. Artificial streams were then used to assess the effects of pulp mill effluents on fish in marine and estuarine environments in eastern Canada (1997–1999). Most recently (2000–2001) artificial stream systems have been developed as tools to evaluate the effects of mining effluents on fish and benthic invertebrates. In addition, multi-trophic level (algae + benthic invertebrate + fish) applications have been developed for cumulative effects bioassessment. Based upon this culmination of research and development, artificial stream systems have been incorporated into the federally legislated Environmental Effects Monitoring (EEM) program as an alternative to field surveys for assessment of pulp and paper and mining pollution. The Canadian experience in development of artificial stream systems should serve as a model to demonstrate how research tools can be incorporated into federally legislated monitoring programs.

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Investor Capabilities and Dynamic Exposure to Risk

SSRN Electronic Journal ◽

10.2139/ssrn.2929270 ◽

2017 ◽

Author(s):

Knut N. Kjaer

Keyword(s):

Dynamic Exposure

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THE ECOLOGICAL EFFECT OF DAM RECONSTRUCTION ON NEARBY STREAM SYSTEMS

10.1130/abs/2016am-283196 ◽

2016 ◽

Author(s):

Christian C. Yother ◽

◽

Pureunsol Oh ◽

Jennifer L. Sliko ◽

Shirley Clark ◽

...

Keyword(s):

Ecological Effect ◽

Stream Systems

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Spatiotemporal Heterogeneity of Ecological Policy Compromises Human Well-Being and Giant Panda Habitat Conservation in Giant Panda National Park

Sustainability ◽

10.3390/su13095013 ◽

2021 ◽

Vol 13 (9) ◽

pp. 5013

Author(s):

Dan Zhu ◽

Degang Yang

Keyword(s):

Environmental Factors ◽

Socioeconomic Factors ◽

National Park ◽

Structural Equation ◽

Giant Panda ◽

Conservation Status ◽

Well Being ◽

Habitat Conservation ◽

Spatiotemporal Heterogeneity ◽

Panda Habitat

Identifying how policy, socioeconomic factors, and environmental factors influence changes in human well-being (HWB) and conservation efficiency is important for ecological management and sustainable development, especially in the Giant Panda National Park (GPNP). In this study, we systematically analyzed the differences in the conservation status of the giant panda habitat and changes in HWB over 15 years in the GPNP, which includes six mountain sites, Minshan (MS), Qionglai (QLS), Xiaoxiangling (XXL), Liangshan (LS), Qinling (QL), and Daxiangling (DXL). Redundancy analyses were used to determine the factors contributing (policy, socioeconomic factors, and environmental factors) to HWB and giant panda habitat conservation (HC). In addition, using a structural equation model (SEM), we investigated the relationship between the aforementioned three factors and their direct and indirect effects on HWB and HC. The results indicated that there was spatiotemporal heterogeneity of HWB and HC in our study area. There was an increasing number of plant species as well as an increased number of giant panda in GPNP. Generally, HWB in 2015 showed an increasing trend compared with that in 2000. Socioeconomic factors (23.6%) have the biggest influence on HWB and HC, followed by policy (23.2%) and environmental factors (19.4%). Conservation policy had a significantly positive influence on HWB (0.52), while it negatively influenced HC (−0.15). Socioeconomic factors significantly negatively influenced HWB (−0.38). The formulation and implementation of policies to promote economic development will contribute to the protection of giant pandas and their habitat. Our results provide insight on the conservation status of the giant panda habitat, HWB, and factors influencing them in different mountain sites in the GPNP, as well as having implications for the future management of the GPNP.

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Assessment of the Dynamic Exposure to PM2.5 Based on Hourly Cell Phone Location and Land Use Regression Model in Beijing

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18115884 ◽

2021 ◽

Vol 18 (11) ◽

pp. 5884

Author(s):

Junli Liu ◽

Panli Cai ◽

Jin Dong ◽

Junshun Wang ◽

Runkui Li ◽

...

Keyword(s):

Land Use ◽

Exposure Assessment ◽

Activity Pattern ◽

Cell Phone ◽

Total Population ◽

Cell Phones ◽

Land Use Regression ◽

Pm2.5 Exposure ◽

Dynamic Exposure ◽

Pm2.5 Concentration

The spatiotemporal locations of large populations are difficult to clearly characterize using traditional exposure assessment, mainly due to their complicated daily intraurban activities. This study aimed to extract hourly locations for the total population of Beijing based on cell phone data and assess their dynamic exposure to ambient PM2.5. The locations of residents were located by the cellular base stations that were keeping in contact with their cell phones. The diurnal activity pattern of the total population was investigated through the dynamic spatial distribution of all of the cell phones. The outdoor PM2.5 concentration was predicted in detail using a land use regression (LUR) model. The hourly PM2.5 map was overlapped with the hourly distribution of people for dynamic PM2.5 exposure estimation. For the mobile-derived total population, the mean level of PM2.5 exposure was 89.5 μg/m3 during the period from 2013 to 2015, which was higher than that reported for the census population (87.9 μg/m3). The hourly activity pattern showed that more than 10% of the total population commuted into the center of Beijing (e.g., the 5th ring road) during the daytime. On average, the PM2.5 concentration at workplaces was generally higher than in residential areas. The dynamic PM2.5 exposure pattern also varied with seasons. This study exhibited the strengths of mobile location in deriving the daily spatiotemporal activity patterns of the population in a megacity. This technology would refine future exposure assessment, including either small group cohort studies or city-level large population assessments.

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