Results 51 to 60 of about 4,590 (262)
Hydro-Meteorological Incident and Disaster Response in Sri Lanka. Case Study: 2016 May Rain Events
Earth, 2021 This paper investigates hydro-meteorological hazards faced by Sri Lanka, a lower-middle-income island country in Asia. It provides a case study of a major hydro-meteorological disaster incident that resulted in one of the largest landslides in the ...
Hiran I. Tillekaratne +4 more
doaj +1 more source
Is there really "nothing you can do"? Pathways to enhanced flood-risk preparedness [PDF]
, 2016 Whilst policy makers have tended to adopt an ‘information-deficit model’ to bolster levels of flood-risk preparedness primarily though communication strategies promoting awareness, the assumed causal relation between awareness and preparedness is ...
Brereton, Finbarr +4 more
core +1 more source
Socio-Hydrological spaces in the Jamuna River floodplain in Bangladesh [PDF]
, 2020 PhD ...
openaire +1 more source
Socio-Hydrologic Modeling of the Dynamics of Cooperation in the Transboundary Lancang-Mekong River [PDF]
Hydrology and Earth System Sciences, 2020 Abstract. The transboundary Lancang-Mekong River Basin has experienced dynamics of cooperation over the past several decades, which is a common emergent response in transboundary human-water systems. Downstream countries rely on Mekong River for fisheries, agriculture, etc., while upstream countries have been constructing dams to generate hydropower ...
Y. Lu +11 more
openaire +5 more sources
Irrigation and Drainage, EarlyView.ABSTRACT This study develops an integrated simulation–optimization framework for sustainable crop allocation and water resource management in the Bargarh Canal Command (BCC), eastern India. Efficient irrigation allocation remains a critical challenge due to competing demands, groundwater–surface water interactions and environmental constraints ...
Priyanka Mohapatra +2 more
wiley +1 more source
A question driven socio-hydrological modeling process [PDF]
Hydrology and Earth System Sciences, 2015 Abstract. Human and hydrological systems are coupled: human activity impacts the hydrological cycle and hydrological conditions can, but do not always, trigger changes in human systems. Traditional modeling approaches with no feedback between hydrological and human systems typically cannot offer insight into how different patterns of natural ...
M. Garcia, K. Portney, S. Islam
openaire +3 more sources
Irrigation and Drainage, EarlyView.ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin +4 more
wiley +1 more source
The seventh facet of uncertainty:wrong assumptions, unknowns and surprises in the dynamics of human–water systems [PDF]
, 2016 The scientific literature has focused on uncertainty as randomness, while limited credit has been given to what we call here the “seventh facet of uncertainty”, i.e. lack of knowledge. This paper identifies three types of lack of understanding: (i) known
Beven, Keith John +2 more
core +1 more source
SOCIO-HYDROLOGY: THE PROS AND CONS OF A NEW INTERDISCIPLINARY FIELD OF RESEARCH [PDF]
Bulletin of Taras Shevchenko National University of Kyiv. Geography, 2021 The purpose of the survey study was to characterize the state of affairs in sociohydrology, the concept of which began to actively gain positions in the world in the early 2000s. The publication of 2012 by M. Sivapalan et al. is considered to be the reference in the appearance of a statement about a certain systematic design of sociohydrology.
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International Journal of Climatology, EarlyView.Daily bias‐correction aggregated to monthly scale preserves the cross‐correlation between precipitation and temperature better than direct monthly bias‐correction. The Canonical Correlation Analysis (CCA) method outperforms Quantile Regression (QR) and MACA, yielding lower bias and higher accuracy, highlighting its suitability for multivariate climate ...
Chingka Kalai +3 more
wiley +1 more source