Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Weidong, Kang"'
Publikováno v:
Shuiwen dizhi gongcheng dizhi, Vol 50, Iss 3, Pp 65-75 (2023)
Mine inflow threats mine safety production underground, and may trigger a decline in the groundwater level in the mine area, causing irreversible successional degradation of surface vegetation. In view of the key problems such as inaccurate generaliz
Externí odkaz:
https://doaj.org/article/04e4af299aea4603b007a19c2dba41fc
Autor:
Linan Dun, Zeen Ouyang, Qihao Sun, Xiaoju Yue, Guodong Wu, Bohan Li, Weidong Kang, Yuanhao Wang
Publikováno v:
Polymers, Vol 16, Iss 11, p 1471 (2024)
Magnesium hydroxide, as a green inorganic flame-retardancy additive, has been widely used in polymer flame retardancy. However, magnesium hydroxide is difficult to disperse with epoxy resin (EP), and its flame-retardancy performance is poor, so it is
Externí odkaz:
https://doaj.org/article/33d30abd65e44526836c7541302c0f91
Publikováno v:
Shuiwen dizhi gongcheng dizhi, Vol 50, Iss 1, Pp 21-31 (2023)
Improper mining of coal mines can cause damage to water resources and the water environment, especially in areas with relatively fragile ecological environment. At present, the prediction of mine water inflow mainly focuses on the single working face
Externí odkaz:
https://doaj.org/article/01e0671655b74327aa45ed4975d12082
Autor:
Huqun CUI, Wenpeng LI, Weidong KANG, Zhenying LIU, Dechao YIN, Xi WU, Yonghui AN, Hongjie GENG
Publikováno v:
Shuiwen dizhi gongcheng dizhi, Vol 49, Iss 3, Pp 22-28 (2022)
Rainfall and irrigation are important sources of recharge for shallow groundwater in the middle reaches of Heihe River . There is no mature monitoring method and empirical data for evaluating infiltration recharge by introducing empirical parameters
Externí odkaz:
https://doaj.org/article/a9b4615062ee4b13b1b3d370554c5323
Publikováno v:
Shuiwen dizhi gongcheng dizhi, Vol 49, Iss 3, Pp 29-43 (2022)
The mutual transformation of surface water and groundwater is an obvious feature of water cycle in arid inland basins in northwest China. Examination of the transformation mechanism is an important basis for the cognition of basin water cycle law and
Externí odkaz:
https://doaj.org/article/ad443d18b3b94c9aba1accbbb9c93ad2
Publikováno v:
Water, Vol 15, Iss 18, p 3232 (2023)
The arid endorheic basin of northwest China is characterized by rich land resources, water shortage, and a fragile ecological environment. The establishment of a credible coupling model of groundwater and surface water based on multi-source observati
Externí odkaz:
https://doaj.org/article/57ac1b7c48e04571af8227029809e7b8
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 52, Iss 5, Pp 775-788 (2021)
In order to clarify the sources of nitrate in groundwater of the loess area, a typical loess area in northern Shaanxi Province was selected as the study area in this paper. On the basis of sampling and analysis, multiple environmental tracers such as
Externí odkaz:
https://doaj.org/article/614e575d22c44ff28cf06991e93a0f38
Publikováno v:
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d32aaf01b2292b88c356a56f88636af
https://doi.org/10.1109/icarce55724.2022.10046569
https://doi.org/10.1109/icarce55724.2022.10046569
Publikováno v:
Analytical Methods. 11:2868-2874
Organic dye detection requires high sensitivity, low-cost equipment, simplified procedures, and real-time capabilities; thus, electrochemical methods are gradually emerging in this field instead of chromatography. However, much attention has been pai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b60cec989d8dbc5b5037cb5b07c6997
https://doi.org/10.1039/c9ay00744j
https://doi.org/10.1039/c9ay00744j
Publikováno v:
2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES).
In view of the problem that the complex structure of distribution network and the low measurement data cause the low accuracy of distribution network state estimation, a distribution network weighted least square state estimation method based on phas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a3733bae22e3bcca6c34333a87c14ed
https://doi.org/10.1109/aeees51875.2021.9403061
https://doi.org/10.1109/aeees51875.2021.9403061