期刊：
International Journal of Environmental Research and Public Health,2022年19(14):8396- ISSN：1661-7827
通讯作者：
Simian Liu<&wdkj&>Jiaqi Shi
作者机构：
[Cheng, Mengfei; Zhang, Fupeng; Liu, Simian; Shi, Lei; Shi, Jiaqi] Cent South Univ, Sch Architecture & Art, Changsha 410075, Peoples R China.;[Cheng, Mengfei; Zhang, Fupeng; Liu, Simian; Shi, Lei; Shi, Jiaqi] Cent South Univ, Hlth Bldg Res Ctr, Changsha 410075, Peoples R China.;[Shi, Jiaqi] Changsha Univ Sci & Technol, Coll Architecture, Changsha 410114, Peoples R China.
通讯机构：
[Simian Liu; Jiaqi Shi] H;Health Building Research Center, Central South University, Changsha 410075, China<&wdkj&>College of Architecture, Changsha University of Science & Technology, Changsha 410114, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>School of Architecture and Art, Central South University, Changsha 410075, China<&wdkj&>Health Building Research Center, Central South University, Changsha 410075, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>School of Architecture and Art, Central South University, Changsha 410075, China
关键词：
indoor air quality;firepit emissions;pollutant-dispersion simulation;passive mitigation strategies;Hunan Tujia region
期刊：
TREE PHYSIOLOGY,2022年42(9):1736-1749 ISSN：0829-318X
通讯作者：
Qian Wang
作者机构：
[Makela, Annikki; Liu, Che; Holtta, Teemu] Univ Helsinki, Fac Agr & Forestry, Dept Forest Sci, Latokartanonkaari 7,POB 27, Helsinki 00014, Finland.;[Makela, Annikki; Liu, Che; Holtta, Teemu] Univ Helsinki, Inst Atmospher & Earth Syst Res INAR, Latokartanonkaari 7,POB 27, Helsinki 00014, Finland.;[Wang, Qian] Changsha Univ Sci & Technol, Coll Architecture, Dept Landscape Architecture, Chi Ling St 45, Changsha 410076, Hunan, Peoples R China.;[Peltoniemi, Mikko; Hokka, Hannu] Nat Resources Inst Finland Luke, Chi Ling St 45, Changsha 410076, Hunan, Peoples R China.
通讯机构：
[Qian Wang] D;Department of Landscape Architecture , College of Architecture, Changsha University of Science and Technology, Chi-Ling Street 45, 410076 Changsha , Hunan, China
摘要：
Waterlogging causes hypoxic or anoxic conditions in soils, which lead to decreases in root and stomatal hydraulic conductance. Although these effects have been observed in a variety of plant species, they have not been quantified continuously over a range of water table depths (WTD) or soil water contents (SWC). To provide a quantitative theoretical framework for tackling this issue, we hypothesized similar mathematical descriptions of waterlogging and drought effects on whole-tree hydraulics and constructed a hierarchical model by connecting optimal stomata and soil-to-leaf hydraulic conductance models. In the model, the soil-to-root conductance is non-monotonic with WTD to reflect both the limitations by water under low SWC and by hypoxic effects associated with inhibited oxygen diffusion under high SWC. The model was parameterized using priors from literature and data collected over four growing seasons from Scots pine (Pinus sylvestris L.) trees grown in a drained peatland in Finland. Two reference models (RMs) were compared with the new model, RM1 with no belowground hydraulics and RM2 with no waterlogging effects. The new model was more accurate than the RMs in predicting transpiration rate (fitted slope of measured against modeled transpiration rate = 0.991 vs 0.979 (RM1) and 0.984 (RM2), R2 = 0.801 vs 0.665 (RM1) and 0.776 (RM2)). Particularly, RM2’s overestimation of transpiration rate under shallow water table conditions (fitted slope = 0.908, R2 = 0.697) was considerably reduced by the new model (fitted slope = 0.956, R2 = 0.711). The limits and potential improvements of the model are discussed.
通讯机构：
[Waqas Ahmad; Chuan He; Muhammad Faisal Javed] A;Authors to whom correspondence should be addressed.<&wdkj&>Department of Civil Engineering, COMSATS University Islamabad, Abbottabad 22060, Pakistan<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>School of Architecture, Changsha University of Science and Technology, Changsha 410015, China
关键词：
3D printing;concrete;scientometric analysis;cementitious composites
期刊：
Arabian Journal of Geosciences,2022年15(23):1-14 ISSN：1866-7511
通讯作者：
Fang Zou
作者机构：
[Fang Zou; Ying Xiong; Xilu Chen] School of Architecture, Changsha University of Science and Technology, Changsha, China
通讯机构：
[Fang Zou] S;School of Architecture, Changsha University of Science and Technology, Changsha, China
关键词：
Geohazard susceptibility assessment;Human activities;Spatial autocorrelation;Mountainous area
摘要：
Geohazards are a serious concern in mountainous areas, especially in China. Substantial efforts have been made to evaluate the geohazard susceptibility in different areas via quantitative analysis. However, such efforts have focused mainly on the spatial heterogeneity of disasters, ignoring both their spatial autocorrelation and the effects of human activities connected to rapid urban development. To address these limitations, we develop a spatial autocorrelation regression (SAR) modeling framework for geohazard susceptibility assessment using human and natural activity data from the typical mountainous Shennongjia area of China. Moreover, we compared different evaluation models using cross-validation and receiver operating characteristic (ROC) curves. The key findings of this work are as follows: (1) SAR is more suitable for geohazard susceptibility assessment compared with other models, as demonstrated by the ROC values of 0.829, 0.789, and 0.527; (2) the human activities of road construction, building construction, and agricultural activity make the highest contributions to geohazards in the area, at 42.78%, 27.84%, and 11.41%, respectively; and (3) there are three high-risk areas in the case area, revealing obvious spatial aggregation. The evidence reported here can be used to accurately identify the risk of geohazards, guide the government emergency departments in disaster prevention, and avoid risky areas to carry out follow-up urban construction.
