Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Jingshui Huang"'
Autor:
Yundong Li, Lina Ma, Jingshui Huang, Markus Disse, Wei Zhan, Lipin Li, Tianqi Zhang, Huihang Sun, Yu Tian
Publikováno v:
Environmental Science and Ecotechnology, Vol 18, Iss , Pp 100320- (2024)
The process-based water system models have been transitioning from single-functional to integrated multi-objective and multi-functional since the worldwide digital upgrade of urban water system management. The proliferation of model complexity result
Externí odkaz:
https://doaj.org/article/b6ae79656428401791b3521d022b0bae
Autor:
Muhammad Arhab, Jingshui Huang
Publikováno v:
Sensors, Vol 23, Iss 13, p 6057 (2023)
Despite advancements in sensor technology, monitoring nutrients in situ and in real-time is still challenging and expensive. Soft sensors, based on data-driven models, offer an alternative to direct nutrient measurements. However, the high demand for
Externí odkaz:
https://doaj.org/article/4a8e531f92e8428c8e3ea78a19505371
Publikováno v:
Frontiers in Water, Vol 4 (2022)
Nutrient dynamics play an essential role in aquatic ecosystems. Despite advances in sensor technology, nutrient concentrations are difficult and expensive to monitor in-situ and in real-time. Emerging data-driven methods may provide surrogate measure
Externí odkaz:
https://doaj.org/article/8ee29188f6644c689f6f31696aab269f
Autor:
Leonardo F. Arias-Rodriguez, Ulaş Firat Tüzün, Zheng Duan, Jingshui Huang, Ye Tuo, Markus Disse
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1390 (2023)
Modeling inland water quality by remote sensing has already demonstrated its capacity to make accurate predictions. However, limitations still exist for applicability in diverse regions, as well as to retrieve non-optically active parameters (nOAC).
Externí odkaz:
https://doaj.org/article/d17eb54c45dd4a848e05302c5bc9daac
Autor:
Leonardo F. Arias-Rodriguez, Zheng Duan, José de Jesús Díaz-Torres, Mónica Basilio Hazas, Jingshui Huang, Bapitha Udhaya Kumar, Ye Tuo, Markus Disse
Publikováno v:
Sensors, Vol 21, Iss 12, p 4118 (2021)
Remote Sensing, as a driver for water management decisions, needs further integration with monitoring water quality programs, especially in developing countries. Moreover, usage of remote sensing approaches has not been broadly applied in monitoring
Externí odkaz:
https://doaj.org/article/1605616e215549949cfb5b18d7e02a54
Extreme weather events magnified by climate change will likely increase the frequency of severe flooding. In this work, we studied the effects of climate change on flooding and cholera infections associated with contaminated floodwater in the Alajo n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24ca0c202a636ff4837eb11d2fd18946
https://doi.org/10.5194/egusphere-egu23-16261
https://doi.org/10.5194/egusphere-egu23-16261
Drought is typically induced by the extreme water deficit stress that cascades through the atmosphere, hydrosphere, and biosphere. However, identifying individual cascade connections remains challenging due to the nonlinear interactive loops within d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3abaf7c9c41383e1f15210d88d85bc22
https://doi.org/10.5194/egusphere-egu23-9711
https://doi.org/10.5194/egusphere-egu23-9711
Mountainous regions in Central Asia are vulnerable to the consequences of climate change. Making appropriate decisions for the allocation of water over communities, the environment and key economic sectors, such as agriculture and energy, is increasi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc73586ce7df1ed281448172fd79372f
https://doi.org/10.5194/egusphere-egu23-15271
https://doi.org/10.5194/egusphere-egu23-15271
Most floods are caused by heavy rainfall events, including the disaster in the Simbach catchment in 2016. For the Simbach catchment, a study was already carried out using the conceptual Hydrologiska Byråns Vattenbalansavdelning (HBV) model to simula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dfae0fb665b5e3d695738638b19254d
https://doi.org/10.5194/egusphere-egu23-15629
https://doi.org/10.5194/egusphere-egu23-15629
Autor:
Leonardo F. Arias-Rodriguez, Ulaş Firat Tüzün, Zheng Duan, Jingshui Huang, Ye Tuo, Markus Disse
Publikováno v:
Remote Sensing
Volume 15
Issue 5
Pages: 1390
Volume 15
Issue 5
Pages: 1390
Modeling inland water quality by remote sensing has already demonstrated its capacity to make accurate predictions. However, limitations still exist for applicability in diverse regions, as well as to retrieve non-optically active parameters (nOAC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::321e432e4d1ef79d5fa06ba12f7c0999
https://mediatum.ub.tum.de/1707629
https://mediatum.ub.tum.de/1707629