Home | [11–20] << 21 22 23 24 25 26 27 28 29 30 >> [31–40] |
![]() |
Records | |||||
---|---|---|---|---|---|
Author | Gong, P.; Li, X.; Zhang, W. | ||||
Title | 40-year (1978-2017) human settlement changes in China reflected by impervious surfaces from satellite remote sensing | Type | Journal Article | ||
Year ![]() |
2019 | Publication | Science Bulletin | Abbreviated Journal | Science Bulletin |
Volume | in press | Issue | Pages | ||
Keywords | Remote Sensing | ||||
Abstract | Impervious surfaces are the most significant feature of human settlements. Timely, accurate, and frequent information on impervious surfaces is critical in both social-economic and natural environment applications. Over the past 40 years, impervious surface areas in China have grown rapidly. However, annual maps of impervious areas in China with high spatial details do not exist during this period. In this paper, we made use of reliable impervious surface mapping algorithms that we published before and the Google Earth Engine (GEE) platform to address this data gap. With available data in GEE, we were able to map impervious surfaces over the entire country circa 1978, and during 1985-2017 at an annual frequency. The 1978 data were at 60 m resolution, while the 1985-2017 data were in 30 m resolution. For the 30 m resolution data, we evaluated the accuracies for 1985, 1990, 1995, 2000, 2005, 2010, and 2015. Overall accuracies reached more than 90%. Our results indicate that the growth of impervious surface in China was not only fast but also considerably exceeding the per capita impervious surface area in developed countries like Japan. The 40-year continuous and consistent impervious surface distribution data in China would generate widespread interests in the research and policy-making community. The impervious surface data can be freely downloaded from http://data.ess.tsinghua.edu.cn. | ||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2095-9273 | ISBN | Medium | ||
Area | Expedition | Conference | |||
Notes | Approved | no | |||
Call Number | GFZ @ kyba @ | Serial | 2321 | ||
Permanent link to this record | |||||
Author | Mindel, J.W.; Rojas, S.L.; Kline, D.; Bao, S.; Rezai, A.; Corrigan, J.D.; Nelson, R.J.; D, P.; Magalang, U.J. | ||||
Title | 0038 Sleeping with Low Levels of Artificial Light at Night Increases Systemic Inflammation in Humans | Type | Journal Article | ||
Year ![]() |
2019 | Publication | Sleep | Abbreviated Journal | |
Volume | 42 | Issue | Supplement_1 | Pages | A15-A16 |
Keywords | Human Health | ||||
Abstract | Introduction Artificial light at night (ALAN) has become a ubiquitous part of our society. Animal studies have shown that ALAN exposure promotes a depressive-like mood and increases peripheral inflammation likely due to circadian disruption. We hypothesized that sleeping with ALAN will increase systemic inflammation in humans. Methods We enrolled 64 subjects [32 with obstructive sleep apnea (OSA) adherent to treatment and 32 without sleep disorders] in a randomized, crossover study to determine the effects of sleeping with ALAN (40 lux) or the usual dark condition (control) for 7 nights at home. Sleeping with ALAN was confirmed by an actigraph with an ambient light sensor. Outcome measurements were done at baseline and after sleeping in each condition. The primary outcome was changes in the high-sensitivity C-reactive protein (hsCRP) levels. Secondary outcomes include scores on the Pittsburgh Sleep Quality Index (PSQI), Center for Epidemiologic Studies Depression Scale (CES-D), Functional Outcomes of Sleep Questionnaire-10 (FOSQ-10), and Epworth Sleepiness Scale (ESS); Psychomotor Vigilance Testing (PVT); actigraphic sleep measures; and homeostatic model assessment of insulin resistance (HOMA-IR). A random effects linear regression model was used to assess differences adjusting for schedule, visit, and baseline levels. Post-hoc analyses combined results from OSA and non-OSA subjects. Results Fifty-eight (30 OSA and 28 non-OSA) subjects, aged 38.4±14.9 years, 33 of whom are male completed the protocol. A log transformation was used so the difference in hsCRP was expressed as a mean ratio. In the combined analysis, the mean hsCRP was 39% higher with ALAN than control (mean ratio=1.39; 95% CI: 1.08-1.80; p=0.012). The effects of ALAN for OSA and non-OSA subjects were not different. ALAN increased the CES-D score by 1.81 (p=0.017) and ESS score by 0.62 (p=0.071) points, and decreased the FOSQ-10 score by 0.36 (p=0.038) points while the PSQI score was unchanged (p=0.860). There were no significant differences in the PVT values, actigraphic sleep measures, or HOMA-IR. Conclusion Sleeping with ALAN for seven days significantly increased hsCRP levels and modestly increased depression scores in humans. |
||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 0161-8105 | ISBN | Medium | ||
Area | Expedition | Conference | |||
Notes | Approved | no | |||
Call Number | GFZ @ kyba @ | Serial | 2322 | ||
Permanent link to this record | |||||
Author | Dhaliwal, S.S.; Keller, J.; Le, H.-N.; Lewin, D.S. | ||||
Title | Sleep Disturbance among Pregnant Women: The Influence of Environmental and Contextual Factors | Type | Journal Article | ||
Year ![]() |
2019 | Publication | Sleep | Abbreviated Journal | |
Volume | 42 | Issue | Supplement_1 | Pages | A270-A271 |
Keywords | Human Health | ||||
Abstract | Introduction Disrupted sleep during pregnancy affects nearly 85% of women. This can contribute to psychological distress and antenatal depression. The aims of the current project were to test whether (a) poorer subjective sleep quality contributed to greater depression and anxiety symptoms, and (b) contextual factors predicted clinically significant sleep disturbance after adjusting for socioeconomic status (SES). Methods In a mixed-methods study, 418 pregnant women (age: M=32.4 years; gestation: M=28.4 weeks, SD=8.4 weeks; 58% Black) completed the Pittsburgh Sleep Quality Index (PSQI), measures of pregnancy-related physiological factors, and provided details about their sleep environment. They also rated perinatal depression, anxiety, and SES (Hollingshead and MacArthur Ladder). Sixty-two women completed these measures again later in pregnancy (gestation M = 34.2 weeks). A subset of seven women underwent actigraphy (9-nights) during their third trimester. Logistic regressions adjusted for age, BMI, race, sleep disordered breathing, and gestational week. Results Subjective sleep quality was significantly poorer among Black women and those with higher BMI. Physiological factors (i.e., restless leg syndrome, nocturnal urination, and acid reflux) explained subjective sleep disturbance after accounting for gestational week (ps<.01). Among women with history of psychopathology (n=221), sleep disturbance was significantly related to anxiety and depression symptoms (ps<.01), with greater sleep disturbance (PSQI score >5) predicting clinically significant antenatal depression (B = .38, p<.05). However, those who rated their social standing as higher reported lower sleep disturbance throughout pregnancy, even after adjusting for mood and anxiety (B= .86, SE =.41; p<.05). There was a dose-response positive association between sleep disturbance and depression severity among Black women only (B = .89; p<.05). Among lower SES Black women, environmental factors (greater ambient noise and light pollution) partially mediated this effect (B= .45, SE =.17; p<.01). Conclusion Sociocontextual factors may explain sleep disturbance severity among low-income pregnant Black women, above and beyond traditional metrics of SES. Higher subjective SES may be protective against sleep disturbance and psychiatric distress. Assessments of sleep during pregnancy should account for physiological considerations and environmental disruptions, alongside mood and anxiety. |
||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 0161-8105 | ISBN | Medium | ||
Area | Expedition | Conference | |||
Notes | Approved | no | |||
Call Number | GFZ @ kyba @ | Serial | 2323 | ||
Permanent link to this record | |||||
Author | Tan, M.K. | ||||
Title | Why do nocturnal grasshoppers and katydids “salute” to flash photography? | Type | Journal Article | ||
Year ![]() |
2019 | Publication | Entomological Science | Abbreviated Journal | Entomological Science |
Volume | in press | Issue | Pages | ||
Keywords | Animals | ||||
Abstract | Nocturnal animals can be sensitive to powerful light from the environment. Anthropogenically induced perturbation to natural light regimes, including ecological light pollution and flash photography, can have wide‐reaching implications on the ecology and behavior. Ecological ramifications of strong lights were traditionally focused on vertebrates although there is now more focus on invertebrates. Nonetheless, there are still unanswered questions on visual ecology and evolution, particularly on individual‐level effects and of tropical species. Specifically, how invertebrate individuals react to strong light is generally undocumented. Based on opportunistic surveys around Southeast Asia, orthopterans, spotted using concentrated torchlight and exposed to sudden strong light intensity during flash macrophotography, were observed to screen themselves by positioning their foreleg over the dorsum of the compound eye. This resembled the orthopteran “saluting” to the camera. These observations provided empirical evidence of how high intensity light can unsettle orthopterans and other insects and further ecological and evolutionary hypotheses and questions can be raised to understand the effect of light pollution. | ||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 1343-8786 | ISBN | Medium | ||
Area | Expedition | Conference | |||
Notes | Approved | no | |||
Call Number | GFZ @ kyba @ | Serial | 2324 | ||
Permanent link to this record | |||||
Author | Ou, J.; Liu, X.; Wang, S.; Xie, R.; Li, X. | ||||
Title | Investigating the differentiated impacts of socioeconomic factors and urban forms on CO2 emissions: Empirical evidence from Chinese cities of different developmental levels | Type | Journal Article | ||
Year ![]() |
2019 | Publication | Journal of Cleaner Production | Abbreviated Journal | Journal of Cleaner Production |
Volume | 226 | Issue | Pages | 601-614 | |
Keywords | Remote Sensing | ||||
Abstract | To reduce carbon dioxide (CO2) emissions attributed widely to human activities, previous studies have paid great attention to the relationships between socioeconomic development, urban forms and CO2 emissions in cities, and provided relevant emission mitigation policies through the effective urban spatial planning. However, whether and how different features of urban forms (such as compactness) affecting the levels of CO2 emissions is still debatable, specifically considering the different development levels of the cities. Therefore, this study is to synthetically explore how socioeconomic factors and urban forms work together to affect CO2 emissions with the consideration of differences in development levels of five city tiers in China. First, CO2 emissions in each city were derived from provincial energy statistics, radiance-calibrated nighttime light imageries, and population distribution data based on a disaggregating model. Then, a set of variables representing socioeconomic factors and urban forms were acquired from the city statistics and land use data, respectively. After obtaining the balanced dataset of these five city tiers from 1995 to 2015, the panel data analysis was finally applied to evaluate the consequences of socioeconomic factors and urban forms on CO2 emissions under different development stages. The estimation results show that the economic development, population growth, and urban land expansion are important factors that accelerating CO2 emissions in all the city tiers. Besides, irregular or fragmented structures of urban land use could result in more CO2 emissions due to the increase in potential transportation requirements in all the city tiers. Notably, an increasing concentrated pattern in the urban core is found to increase CO2 emissions in the tier-one cities, but to promote the reduction of CO2 emissions in other four city tiers. The urban spatial development with a compact and multiple-nuclei pattern is suggested to be closely linked with a lower level of CO2 emissions. Such results highlight the importance of a city's development level for decision-making involving the mitigation of CO2 emissions, and provide scientific support for building a low-carbon city from the perspective of both socioeconomic development and urban spatial planning. | ||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 0959-6526 | ISBN | Medium | ||
Area | Expedition | Conference | |||
Notes | Approved | no | |||
Call Number | GFZ @ kyba @ | Serial | 2325 | ||
Permanent link to this record |