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湖泊代谢(metabolism)指湖泊生物不断进行的光合和呼吸作用,可通过湖泊总初级生产力(GPP)和湖泊总呼吸(RE)量化。水体二氧化碳分压(pCO2)指溶解在水中的二氧化碳(CO2)分子产生的压力,可用来量化量溶解在水中的二氧化碳的量。pCO2与其他参数,如 pH 值、溶解性无机碳和碱度一样,都用来描述水体的无机碳系统(CO2 (aq)、HCO3-、CO32-)的浓度和形态。湖泊pCO2不仅受...
A new National Science Foundation-funded study led by ecohydrologists at Indiana University has shown for the first time that it's possible to use satellite data to measure the threat o...
Since erosion of mine overburden and mine dump leads to its deposition down the slope in the catchment, an attempt was made to study the erosion-deposition pattern in a micro watershed in part of Goa ...
Since erosion of mine overburden and mine dump leads to its deposition down the slope in the catchment, an attempt was made to study the erosion-deposition pattern in a micro watershed in part of Goa ...
Space-time variability of hydrological drought and wetness over Iran is investigated using the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanal...
In this study, we report results from scaling analysis of 2.5 m spatial and 1 s temporal resolution lidar-rainfall data. The high resolution spatial and temporal data from the same observing system al...
Soil functions and their impact on health, economy, and the environment are evident at the macro scale but determined at the micro scale, based on interactions between soil micro-architecture and the...
Severe flood events turned out to be the most devastating catastrophes for Europe's population, economy and environment during the past decades. The total loss caused by the August 2002 flood is estim...
In the EFFS Project, an attempt has been made to develop a general framework to study the predictability of severe convective rainfall events in the presence of orography. Convective activity is embed...
A spatio-temporal linear dynamic model has been developed for patching short gaps in daily river runoff series. The model was cast in a state-space form in which the state variable was estimated using...
A data-driven method for extracting temporally persistent information, at different spatial scales, from rainfall data (as measured by radar/satellite) is described, which extends the Empirical Mode D...
In this paper catchments are conceptualised as linear space-time filters. Catchment area A is interpreted as the spatial support and the catchment response time T is interpreted as the temporal suppor...
For derived flood frequency analysis based on hydrological modelling long continuous precipitation time series with high temporal resolution are needed. Often, the observation network with recording r...
The paper introduces a stochastic technique for forecasting rainfall in space-time domain: the PRAISEST Model (Prediction of Rainfall Amount Inside Storm Events: Space and Time). The model is based on...
Key issues involved in converting MTB ensemble forecasts of rainfall into ensemble forecasts of runoff are addressed.

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