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231.
Rubio-Gutierrez Juan Carlos Mendez-Hernández Pablo Guéguen Yann Galichon Pierre Tamayo-Ortiz Marcela Haupt Karsten Medeiros Mara Barbier Olivier Christophe 《Environmental science and pollution research international》2022,29(21):31042-31058
Environmental Science and Pollution Research - Bone mass in adulthood depends on growth and mineralization acquired during childhood and adolescence. It is well known that these stages of life are... 相似文献
232.
Sarnat SE Coull BA Ruiz PA Koutrakis P Suh HH 《Journal of the Air & Waste Management Association (1995)》2006,56(2):186-196
Particle infiltration is a key determinant of the indoor concentrations of ambient particles. Few studies have examined the influence of particle composition on infiltration, particularly in areas with high concentrations of volatile particles, such as ammonium nitrate (NH4NO3). A comprehensive indoor monitoring study was conducted in 17 Los Angeles-area homes. As part of this study, indoor/outdoor concentration ratios during overnight (nonindoor source) periods were used to estimate the fraction of ambient particles remaining airborne indoors, or the particle infiltration factor (FINF), for fine particles (PM2.5), its nonvolatile (i.e., black carbon [BC]) and volatile (i.e., nitrate [NO3-]) components, and particle sizes ranging between 0.02 and 10 microm. FINF was highest for BC (median = 0.84) and lowest for NO3- (median = 0.18). The low FINF for NO3- was likely because of volatilization of NO3- particles once indoors, in addition to depositional losses upon building entry. The FINF for PM2.5 (median = 0.48) fell between those for BC and NO3-, reflecting the contributions of both particle components to PM25. FINF varied with particle size, air-exchange rate, and outdoor NO3- concentrations. The FINF for particles between 0.7 and 2 microm in size was considerably lower during periods of high as compared with low outdoor NO3- concentrations, suggesting that outdoor NO3- particles were of this size. This study demonstrates that infiltration of PM2.5 varies by particle component and is lowest for volatile species, such as NH4NO3. Our results suggest that volatile particle components may influence the ability for outdoor PM concentrations to represent indoor and, thus, personal exposures to particles of ambient origin, because volatilization of these particles causes the composition of PM2.5 to differ indoors and outdoors. Consequently, particle composition likely influences observed epidemiologic relationships based on outdoor PM concentrations, especially in areas with high concentrations of NH4NO3 and other volatile particles. 相似文献
233.
Giménez J Rovira M Clarens F Casas I Duro L Grivé M Bruno J de Pablo J 《Journal of contaminant hydrology》2006,83(1-2):42-52
Due to the higher stability of the spent nuclear fuel (mainly composed of UO2) under reducing conditions, and in order to enhance the retention/retardation of some key radionuclides, the olivine rock from the Lovasj?rvi intrusion has been proposed as a potential redox-active backfill-additive in deep high-level nuclear waste (HLNW) repositories. In this work, two different approaches have been undertaken in order to establish the redox buffer capacity of olivine rock: (1) The capacity of the rock to respond to changes in pH or pe has been demonstrated and the final (pH, pe) coordinates agree with the control exerted by the system Fe(II)/Fe(III). (2) The rate of consumption of oxygen has been determined at different pH values. These rates are higher than the ones reported in the literature for other solids, what would point to the possibility of using this rock as an additive to the backfill material in a HLNW. 相似文献
234.
Verónica Reyes-Galindo Juan Pablo Jaramillo-Correa Karina Carrasco Nava Alejandra Elizabeth De-la-Rosa-González David Flores Flores Mauricio Martínez Luis Alberto Monroy-De-la-Rosa Miguel Ángel Morelos Zamora Billy Emmanuel Ramírez Morales Oliver Tanui Ramírez Morales María del Pilar Rodríguez Maurilio Salazar Zamora Claudio Zamora Callejas Rafael Zamora Callejas César Zamora Tonatiuh Zamora Victor Alejandro González-Camacho Erick Rebollo Ricardo Torres-Jardón Ana Wegier Alicia Mastretta-Yanes 《Conservation biology》2023,37(5):e14112
Peri-urban forest monitoring requires indicators of vegetation damage. An example is the sacred fir (Abies religiosa) forests surrounding Mexico City, which have been heavily exposed to tropospheric ozone, a harmful pollutant, for over 4 decades. We developed a participatory monitoring system with which local community members and scientists generated data on ozone tree damage. Santa Rosa Xochiac rangers (13) used the digital tool KoboToolBox to record ozone damage to trees, tree height, tree ages, tree condition, tree position, and whether the tree had been planted. Thirty-five percent of the trees (n = 1765) had ozone damage. Younger trees had a lower percentage of foliage damaged by ozone than older trees (p < 0.0001), and asymptomatic trees tended to be younger (p < 0.0001). Symptomatic trees were taller than asymptomatic trees of the same age (R2c = 0.43, R2m = 0.27). Involving local communities facilitated forest monitoring and using digital technology improved data quality. This participatory system can be used to monitor forest condition change over time and thus aids restoration efforts driven by government or local communities’ interests, facilitating local decision-making. 相似文献
235.
Madhavi Rajak Khageshwar Singh Patel Nitin Kumar Jaiswal Raj Kishore Patel Elza Bontempi Eduardo Yubero Laurent Matini Sema Yurdakul Pablo Martín-Ramos 《环境质量管理》2023,32(3):287-299
Soil quality in urban areas in India is degraded due to multiple anthropogenic activities. The objectives of this work are to determine the concentration variations, toxicity, and sources of carbons, metals, and ions in the surface soil of Raipur, the industrialized capital city of Chhattisgarh state, India. High concentrations of Al, K, Ca, Ti, Fe, and elemental carbon (EC) were registered. Relatively lower concentrations of V, Cr, Mn, Ni, Cu, Zn, Sr, Ba, Pb, organic carbon (OC), and carbonate carbon (CC), as well as ions (viz. F–, Cl–, NO3–, SO42–, Na+, K+, Mg2+, and Ca2+), were also recorded. EC was found to be one of the major pollutants, although enrichment factors pointed to high contamination with SO42–, K+, Mg2+, Cr, Mn, and Pb; and extreme contamination with NO3– and Ca2+. The spatial and temporal variations, enrichment factors, toxicity, and sources of the chemical species detected in the soil are discussed. 相似文献
236.
Ojeda Juan Pablo Mercante Irma Teresa 《Journal of Material Cycles and Waste Management》2023,25(5):2753-2765
Journal of Material Cycles and Waste Management - Plastic waste management is of global concern while construction industry keeps searching for innovations to become more sustainable. In this... 相似文献
237.
Chiaia-Hernández Aurea C. Casado-Martinez Carmen Lara-Martin Pablo Bucheli Thomas D. 《Environmental science and pollution research international》2022,29(57):85761-85765
Environmental Science and Pollution Research - 相似文献
238.
Pablo V. Prieto Jacob J. Bukoski Felipe S. M. Barros Hawthorne L. Beyer Alvaro Iribarrem Pedro H. S. Brancalion Robin L. Chazdon David B. Lindenmayer Bernardo B. N. Strassburg Manuel R. Guariguata Renato Crouzeilles 《Conservation biology》2022,36(3):e13842
Natural forest regrowth is a cost-effective, nature-based solution for biodiversity recovery, yet different socioenvironmental factors can lead to variable outcomes. A critical knowledge gap in forest restoration planning is how to predict where natural forest regrowth is likely to lead to high levels of biodiversity recovery, which is an indicator of conservation value and the potential provisioning of diverse ecosystem services. We sought to predict and map landscape-scale recovery of species richness and total abundance of vertebrates, invertebrates, and plants in tropical and subtropical second-growth forests to inform spatial restoration planning. First, we conducted a global meta-analysis to quantify the extent to which recovery of species richness and total abundance in second-growth forests deviated from biodiversity values in reference old-growth forests in the same landscape. Second, we employed a machine-learning algorithm and a comprehensive set of socioenvironmental factors to spatially predict landscape-scale deviation and map it. Models explained on average 34% of observed variance in recovery (range 9–51%). Landscape-scale biodiversity recovery in second-growth forests was spatially predicted based on socioenvironmental landscape factors (human demography, land use and cover, anthropogenic and natural disturbance, ecosystem productivity, and topography and soil chemistry); was significantly higher for species richness than for total abundance for vertebrates (median range-adjusted predicted deviation 0.09 vs. 0.34) and invertebrates (0.2 vs. 0.35) but not for plants (which showed a similar recovery for both metrics [0.24 vs. 0.25]); and was positively correlated for total abundance of plant and vertebrate species (Pearson r = 0.45, p = 0.001). Our approach can help identify tropical and subtropical forest landscapes with high potential for biodiversity recovery through natural forest regrowth. 相似文献