Results 31 to 40 of about 7,595 (264)
Hydrological modelling is of critical importance to flood control. However, flood forecasting in semi-arid region is a great challenge to hydrologists, particularly in a changing environment. Taking the Zhulong River catchment located in north China as a
Yue Liu +12 more
doaj +1 more source
In Vivo Microplastic Detection With Photoacoustic Imaging
ABSTRACT Microplastics are posing an escalating threat to both ecological systems and human health. Yet, current methods for investigating their bioaccumulation are highly invasive, requiring destructive analysis of ex vivo tissues via mass spectrometry, dye labelling, or Raman microspectroscopy.
Joseph C. Bear +9 more
wiley +1 more source
HESS Opinions "The art of hydrology"* [PDF]
Hydrological modelling is the same as developing and encoding a hydrological theory. A hydrological model is not a tool but a hypothesis. The whole discussion about the inadequacy of hydrological models we have witnessed of late, is related to the wrong ...
H. H. G. Savenije
doaj
Seamlessly Coupling Hydrological Modelling Systems and GIS through Object-Oriented Programming
Coupling hydrological modelling systems (HMS) with a geographic information system (GIS) can significantly enhance hydrological research and expand its applications.
Xiaohua Xiang +3 more
doaj +1 more source
Conventional passive radiative cooling films rely on costly feedstocks and energy‐intensive fabrication, with poor end‐of‐life compatibility in agriculture. To address this challenge, a sustainable radiative cooling mulch (SRCM) is developed from waste maize leaves via spontaneous hydrogen‐bond self‐assembly.
Hao Li +13 more
wiley +1 more source
Study Region: Four subbasins in the Gandaki River Basin in the southern Himalayan region. Study Focus: In the southern Himalayan region, gridded precipitation datasets are often used to complement sparse gauge network observations in hydrological ...
Qiang Zeng +7 more
doaj +1 more source
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source
Correcting the apparent priming effect resolves systematic biases in Asian rice fertilizer nitrogen accounting. Net soil retention drops below 7%, while 48% of fertilizer escapes, inflicting US$98.53 billion in annual reactive‐nitrogen damages. High‐resolution mapping uncovers N‐risk archetypes across 42% of the rice area, delivering a spatially ...
Xiuyun Liu +5 more
wiley +1 more source
Limited availability of hydrometeorological data and lack of data sharing practices have added to the challenge of hydrological modelling of large and transboundary catchments.
Muhammad Jawad +3 more
doaj +1 more source
Hemp Cultivation and Crop Diversification: Implications for Ecosystem Services in Kentucky
ABSTRACT This study examines the ecosystem benefits of expanding hemp cultivation by assessing its impact on crop diversity. Using scenario‐based simulations and fixed‐effect panel regressions with county‐level data in Kentucky, we find that increased hemp acreage tends to enhance crop diversity, improving water quality and bird diversity.
Yunsun Park +4 more
wiley +1 more source

