Zobrazeno 1 - 10
of 459
pro vyhledávání: '"spatio-temporal variations"'
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
Exploring dynamic vegetation changes and identifying the factors driving these changes are important for evaluating global ecosystem processes. Based on the pixel binary model, coefficient of variation, Theil-Sen median trend analysis, geographic det
Externí odkaz:
https://doaj.org/article/26b80bc94c524daf8e53b0af45ce7a39
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Thermodynamic process between the ice and the ocean plays a critical role in the evolution of sea-ice growth and melting in marginal seas. At the ice-ocean interface, the oceanic heat flux and the conductive heat flux transmitted through the ice laye
Externí odkaz:
https://doaj.org/article/e47faae17c3c44d3a20d504dc7ae4a6e
Autor:
Dandan Jiao, Shaomin Liu, Ziwei Xu, Lisheng Song, Yan Li, Rui Liu, Jiaxing Wei, Xinlei He, Dongxing Wu, Tongren Xu, Jingxin Guo
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 55, Iss , Pp 101941- (2024)
Study region: Heihe River Basin (HRB), Northwest China. Study focus: The study proposes an analytical scheme to identify trend, periodicity, and scale-correlation in climate, water, land, and vegetation resources over the past four decades using mult
Externí odkaz:
https://doaj.org/article/45c9d0c7e92b49a2af096b4f23ec286e
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 55, Iss , Pp 101935- (2024)
Study region: Hindon River Basin, North India. Study focus: Accurate estimation of water balance components is crucial for water management applications yet challenging due to errors in monthly gridded water balance data products. Error and uncertain
Externí odkaz:
https://doaj.org/article/49a7cc8aa90a410b8e7f6a6bde7db32c
Autor:
Qiao Zhao, Jianzan Yang, Huawei Xiang, Jianhua Dong, Yue Li, Qingping Zhou, Xiong Song, Chong Wei
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 56, Iss , Pp 102075- (2024)
Study regions: The Guizhou Province (GZP) in southwestern China, where mainly comprises Karst regions. Study focus: The rainfall records were collected from 45 rain gauges within GZP during 1960–2019 to calculate the Rainfall Erosivity (RE). In add
Externí odkaz:
https://doaj.org/article/e29d92acc1ed4f1386118cf0c13db11d
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4135 (2024)
A major source of carbon dioxide emissions (CO2) arises from the household sector. Recent studies have reported increasing household CO2 emissions (HCO2) in many countries. Cities represent a key administrative level in China and can be managed to mi
Externí odkaz:
https://doaj.org/article/e09d5cee4c8745629c2b3d55b91e6a83
Publikováno v:
Atmosphere, Vol 15, Iss 9, p 1036 (2024)
The analysis of rainfall patterns in the Indonesian region utilized the Empirical Orthogonal Function (EOF) method to identify spatial and temporal variations. The study evaluated the dynamic influence of the Tropical Indian Ocean (TIO) and the Tropi
Externí odkaz:
https://doaj.org/article/299b65f8d2a4466cb142ab9651039965
Publikováno v:
Iranian Journal of Toxicology, Vol 17, Iss 3, Pp 43-52 (2023)
Background: The present research addressed the spatiotemporal variations in such pollutants as benzene, toluene, ethylbenzene, and xylene (BTEX) in the atmosphere of Arak, a city in central Iran. Also, the health risk evaluation and ozone formation p
Externí odkaz:
https://doaj.org/article/2394c4a579e542988b521fc2fbeb3014
Autor:
Baogui Li, Lili Tan, Xueliang Zhang, Junyu Qi, Gary W. Marek, Yingxuan Li, Xiaojie Dong, Wenjie Zhao, Ting Chen, Puyu Feng, De Li Liu, Raghavan Srinivasan, Yong Chen
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 50, Iss , Pp 101547- (2023)
Study region: Haihe River Basin (HRB) in North China Plain. Study focus: Changes in streamflow due to climate change and human activities are highly uncertain. An improved Soil and Water Assessment Tool (SWAT) model equipped with a dynamic CO2 input
Externí odkaz:
https://doaj.org/article/81be318183a24a0ba67fa497107805b4
Publikováno v:
Haiyang Kaifa yu guanli, Vol 40, Iss 4, Pp 122-131 (2023)
The traditional medium-resolution satellite images cannot meet the need of small-scale shoreline variation monitoring. In addition, researches on the influences in spatial resolution on monitoring different types of shoreline changes are rarely found
Externí odkaz:
https://doaj.org/article/30639bfe24104e0484bdc75c428746a4