scholarly journals Intermediate Host Snails of Human Schistosomes in the Senegal River Delta: Spatial Distribution According to Physicochemical Parameters

2020 ◽  
Author(s):  
Raphael Abdoulaye Ndione ◽  
Sidy Bakhoum ◽  
Chistopher Haggerty ◽  
Nicolas Jouanard ◽  
Simon Senghor ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Intermediate Host ◽  
Physicochemical Parameters ◽  
River Delta ◽  
Senegal River

Magnets of creative talents in Yangtze River Delta Bay area

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Liuyi Zhang ◽  
Anna Shi ◽  
Longzhang Fang
Keyword(s):  
Spatial Distribution ◽  
Yangtze River ◽  
Spillover Effect ◽  
Yangtze River Delta ◽  
Housing Affordability ◽  
River Delta ◽  
Lasso Regression ◽  
Content Type ◽  
Bay Area ◽  
Creative Talent

Purpose This study aims to examine the spatial distribution and movement patterns of creative talent within the Yangtze River Delta Bay Area (YRDBA) and the factors that contribute to such trends. Design/methodology/approach The study examines data for the period 2006 to 2018 from the regions that constitute the YRDBA: Shanghai, Jiangsu, Zhejiang and Anhui. Spatial distribution pattern analysis is adopted to interpret the flow tendency both spatially and chronologically and a Lasso regression model is used to investigate variables that influence this tendency. Findings It is found that creative talents in YRDBA are accumulating steadily in provincial capitals and financially advanced cities. Technology infrastructure, women’s rights, medical care amenities and housing affordability are major determinants of such spatial distribution. The talent spillover effect raises attention in talent saturated areas, while the surrounding regions should prepare to receive and retain the overflow. Originality/value Creative talents geography in China and the dynamism of creative talent in YRDBA are rarely discussed. Determinants of creative talents lack systematic pectination, literature that filters multiple determinants of creative talents migration is limited and discussion specific to the Chinese context is scarce. This case can, thus, provide insights into creative talents in developing countries and add to the current literature, bridge the gap of the current understanding of creative talents in YRDBA – the innovation and development center in China and provide a reference for policymakers when making macro decisions.

scholarly journals Hydrogeochemical Analysis and Spatial Distribution of Groundwater Quality in Roundhill Landfill Vicinity of South Africa

2019 ◽  
Vol 12 ◽  
pp. 117862211987277 ◽  
Author(s):  
Joan Nyika ◽  
Ednah Onyari
Keyword(s):  
South Africa ◽  
Spatial Distribution ◽  
Sodium Chloride ◽  
Landfill Leachate ◽  
Water Samples ◽  
Physicochemical Parameters ◽  
Anthropogenic Activities ◽  
Anthropogenic Pollution ◽  
Physicochemical Characteristics ◽  
Magnesium Carbonate

Groundwater is the most reliable resource for consumptive uses worldwide, but it is vulnerable to anthropogenic pollution in this post-industrialization era. Pollution of the resource may result from anthropogenic activities; hence, analysing the effects of leachate on groundwater is imperative. This study assessed the spatial distribution of physicochemical parameters of groundwater in Roundhill landfill vicinity of South Africa and conducted their hydrogeochemical analysis. Water samples were collected from 3 boreholes in the landfill surroundings and analysed for selected physicochemical characteristics. Spatial distribution of these parameters showed dominant pollution by Mn2+, Fe2+, and [Formula: see text], which surpassed prescribed allowable limits of the country in most of the study area. Possibilities of simple dissolution and ion mixing were deduced from the Durov diagram. Magnesium carbonate, sodium chloride, and mixed faces of groundwater were dominant in boreholes 1 to 3, respectively. The dominance of Ca2+, Cl−, Mg2+, and [Formula: see text] ions in some boreholes suggested anthropogenic pollution. Landfill leachate was associated with groundwater pollution in the study area.

Spatial distribution and seasonality of ichthyoplankton and anthropogenic debris in a river delta in the Caribbean Sea

2017 ◽  
Vol 90 (4) ◽  
pp. 1356-1387 ◽  
Author(s):  
T. Correa-Herrera ◽  
M. Barletta ◽  
A. R. A. Lima ◽  
L. F. Jiménez-Segura ◽  
L. B. Arango-Sánchez
Keyword(s):  
Spatial Distribution ◽  
Caribbean Sea ◽  
River Delta ◽  
The Caribbean

Prevalence, risk factors, and spatial distribution of Fasciola in carabao and intermediate host in Baybay, Leyte, Philippines

2019 ◽  
Vol 15 ◽  
pp. 100261
Author(s):  
Harvie P. Portugaliza ◽  
Ivy Mae C. Balaso ◽  
June Clyde B. Descallar ◽  
Eugene B. Lañada
Keyword(s):  
Risk Factors ◽  
Spatial Distribution ◽  
Intermediate Host

scholarly journals A Retrieval of Glyoxal from OMI over China: Investigation of the Effects of Tropospheric NO2

2019 ◽  
Vol 11 (2) ◽  
pp. 137 ◽  
Author(s):  
Yapeng Wang ◽  
Jinhua Tao ◽  
Liangxiao Cheng ◽  
Chao Yu ◽  
Zifeng Wang ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Temporal Distribution ◽  
Temporal Variations ◽  
Mean Value ◽  
River Delta ◽  
Optical Absorption Spectroscopy ◽  
Synthetic Spectrum ◽  
Ozone Monitoring Instrument ◽  
Tropospheric No2 ◽  
Fitting Parameters

East China is the ‘hotspot’ of glyoxal (CHOCHO), especially over the Pearl River Delta (PRD) region, where glyoxal is yielded from the oxidation of aromatics. To better understand the glyoxal spatial-temporal characteristics over China and evaluate the effectiveness of atmospheric prevention efforts on the reduction of volatile organic compound (VOC) emissions, we present an algorithm for glyoxal retrieval using the Ozone Monitoring instrument (OMI) over China. The algorithm is based on the differential optical absorption spectroscopy (DOAS) and accounts for the interference of the tropospheric nitrogen dioxide (NO2) spatial-temporal distribution on glyoxal retrieval. We conduct a sensitively test based on a synthetic spectrum to optimize the fitting parameters set. It shows that the fitting interval of 430–458 nm and a 4th order polynomial are optimal for glyoxal retrieval when using the daily mean value of the earthshine spectrum in the Pacific region as a reference. In addition, tropospheric NO2 pre-fitted during glyoxal retrieval is first proposed and tested, which shows a ±10% variation compared with the reference scene. The interference of NO2 on glyoxal was further investigated based on the OMI observations, and the spatial distribution showed that changes in the NO2 concentration can affect the glyoxal result depending on the NO2 spatial distribution. A method to prefix NO2 during glyoxal retrieval is proposed in this study and is referred to as OMI-CAS. We perform an intercomparison of the glyoxal from the OMI-CAS with the seasonal datasets provided by different institutions for North China (NC), South China (SC), the Yangtze River Delta (YRD) and the ChuanYu (CY) region in southwestern China in the year 2005. The results show that our algorithm can obtain the glyoxal spatial and temporal variations in different regions over China. OMI-CAS has the best correlations with other datasets in summer, with the correlations between OMI-CAS and OMI-Harvard, OMI-CAS and OMI-IUP, and OMI-CAS and Sciamachy-IUP being 0.63, 0.67 and 0.67, respectively. Autumn results followed, with the correlations of 0.58, 0.36 and 0.48, respectively, over China. However, the correlations are less or even negative for spring and winter. From the regional perspective, SC has the best correlation compared with other regions, with R reaching 0.80 for OMI-CAS and OMI-IUP in summer. The discrepancies between different glyoxal datasets can be attributed to the fitting parameters and larger glyoxal retrieval uncertainties. Finally, useful recommendations are given based on the results comparison according to region and season.

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