Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Kangquan YANG"'
Publikováno v:
暴雨灾害, Vol 43, Iss 2, Pp 176-184 (2024)
Fine-scale quantitative precipitation forecast is a key issue and challenge in weather forecasting services. In this study, based on hourly precipitation from the 1 km× 1 km resolution Southwest China WRF-based Intelligent Numeric Grid forecast Syst
Externí odkaz:
https://doaj.org/article/1103f1e185eb4606937c8c81b767a50e
Publikováno v:
暴雨灾害, Vol 43, Iss 1, Pp 54-62 (2024)
The terrain and landform of the Sichuan Basin are complex, which also make the forecast of heavy rainfall challenging, therefore the correction of the model precipitation forecast products is the crucial method to improve the quality of heavy rainfal
Externí odkaz:
https://doaj.org/article/c6afec6b06dd4e0c9325e53623b36271
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 26, Iss 3, Pp 415-426 (2023)
Precision agriculture which facilitates and enables crop management through site-specific recommendations, is essential to optimize agricultural inputs in space and time. In this study, we used Landsat and MODIS-NDVI product data with climatic, topog
Externí odkaz:
https://doaj.org/article/64e218a0b29e490183809a265a50391b
Autor:
Miaoyuan Xiao, Lei Wang, Yuanchang Dong, Chenghong Zhang, Shunjiu Wang, Kangquan Yang, Kui Zhang
Publikováno v:
PLoS ONE, Vol 19, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/eacbb955349648e692cd195f0d8c38a9
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Automatic registration of high-resolution remote sensing images (HRRSIs) has always been a severe challenge due to the local deformation caused by different shooting angles and illumination conditions. A new method of characteristic spatial
Externí odkaz:
https://doaj.org/article/b6e5cdbeebec4fceaf0b298d1fafbb6a
Autor:
Xingyue You, Zhong Zheng, Kangquan Yang, Liang Yu, Jinbao Liu, Jun Chen, Xiaoning Lu, Shanyun Guo
Publikováno v:
Forests, Vol 15, Iss 1, p 86 (2023)
Forest fires have a significant impact on terrestrial ecosystems, leading to harm to biodiversity and environment. To mitigate the ecological damage caused by forest fires, it was necessary to develop prediction models of fire risk. In this study, by
Externí odkaz:
https://doaj.org/article/80513efb97d64b04834c619144a223b6
Publikováno v:
Advances in Meteorology, Vol 2023 (2023)
Sichuan is a high-incidence area of thunderstorm activity in China. Based on the data of the total lightning location system from 2018 to 2022, the total lightning, cloud-to-ground (CG) lightning, and intracloud (IC) lightning activity regularity for
Externí odkaz:
https://doaj.org/article/974f7782e0ce4efdb781d9ddda3e0def
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
Blockage of the U-type channel exacerbates the intermittency of production, and clarifying the channel heat transfer characteristics and pressure drop is an effective way to address this problem. The channel heat transfer and flow characteristics of
Externí odkaz:
https://doaj.org/article/47ef50b192e54bf9b3b081f6dd67d712
Autor:
Fei Ge, Kangquan Yang, Shoupeng Zhu, Weiwei Tang, Haolin Luo, Ting Peng, Wenyue Cai, Xiaoran Liu
Publikováno v:
International Journal of Climatology. 39:5619-5634
Temperatures from CERA‐20C and ERA‐Interim correlate quite well with those from observed stations in Sichuan during 1979–2010, but significant cold biases between reanalysis data sets and observations are captured. The cold biases of the surfac
Autor:
Chaoyun Huang, Shouping Xu, Xinjuan Zeng, Xiufang Wen, Kai Yang, Pihui Pi, Kangquan Yang, Li Wang
Publikováno v:
ACS Sustainable Chemistry & Engineering. 7:368-376
Stimulus-responsive materials have great potential in advanced controllable oil/water separation applications. Here, a novel, cost-effective, and green approach is developed to produce a pH-responsive smart fabric with switchable wettability. The app