In this study, we proposed a new framework that considered the uncertainties of model simulations to quantify the contribution rate of climate change and human activities to streamflow changes. Then, the Lancang River Basin was selected for the case study. The results of quantitative analysis using the new framework showed that the reason for the decrease in the streamflow at Yunjinghong station was mainly due to human activities.

Plant carbon-sequestration potential is central to moderate atmospheric CO₂ concentrations buildup and mitigate climate change. There is an ongoing debate about the main driver of carbon storage. To reconcile this discrepancy, we use SEIB-DGVM to investigate the trend and response mechanism of carbon-stock fractions among water limitation regions. Results show the impact of CO₂ and temperature on carbon-stock depends on water limitation, offering a new perspective on carbon-water coupling.

Flood forecasting in semiarid regions is always poor, and a single-criterion assessment provides limited information for decision making. Here, we propose a multicriteria assessment framework (FCRA) to assess the most striking feature of an event-based flood – the peak flow. One hundred flood events are modeled in the middle Yellow River with four hydrological models. Our results show that the FCRA may help decision makers improve their diagnostic abilities in the early flood warning process.