Baoying Shan

• PhD
• PostDoc at Politecnico di Milano

Compound drought and heatwave (CDHW) events can result in intensified damage to ecosystems, economies, and societies, especially on a warming planet. Although it has been reported that CDHW events in the winter season can also affect insects, birds, and the occurrence of wildfires, the literature generally focuses exclusively on the summer season....

Compound extreme climate events (ECEs) are increasingly recognized for their potential to exacerbate food insecurity risks beyond those posed by isolated events. The notion of ‘compound event’ encompasses not only co-occurring ECEs but also multiple ECEs across (different) growth stages (mECEs). The additional effects of these mECEs on crop yield,...

Predicting unprecedented floods is essential for disaster risk reduction and climate adaptation but remains a challenge for both hydrological and deep learning models. This study evaluates three hydrological models, a Long Short-Term Memory (LSTM) network, and three hybrid models in simulating extreme floods in more than 400 catchments in Central E...

Inland arid basins face the challenge of ecological deterioration due to insufficient water availability. The irrigation water consumption depletes the water flowing into the downstream tailrace ecological wetland, leading to increasing ecological deterioration. It is urgent to optimize the management of irrigation water resources in the middle rea...

Ecological conservation redline (ECRL) is a rigorously defined regulatory boundary established within critical zones, including ecological functional areas, ecologically sensitive regions, and vulnerable areas. It serves as the foundational threshold for preserving the ecological security of both national and regional contexts. Flood detention area...

Climate change exerts significant impacts on ecosystems through extreme climate events (ECEs), which are linked to various climate variables and can occur in different seasons. However, previous studies predominantly focus on a single type of ECE within specific seasons. We address this research gap by examining four typical types of ECEs: droughts...

In arid agriculture, the effective allocation of scarce water resources and the assessment of irrigation shortage risks are critical water management practices. However, these practices are faced with inherent and unignorable uncertainties affecting multiple variables. This study aims to model the typical uncertainties in these practices and unders...

Compound drought and heatwave (CDHW) events can incur intensified damage to ecosystems, economies, and societies, especially on a warming planet. Although it has been reported that CDHW events in the winter season can also affect insects, birds, and wildfires, the literature generally focuses on the summer season exclusively. Moreover, the coarse r...

This poster quickly and visually shows how the drought/heatwave/wet/coldwave impacts the annual abundance of England butterflies.

Although evidence of the hydrological response of watersheds to climate change is abundant, reliable assessments of water yield (WY) over mountainous regions, such as the Upper Brahmaputra River (UBR) basin, remain unclear. Here, we examine long-term WY changes during 1982–2013 in the UBR basin, based on multi-station runoff observations. We find t...

Although evidence of hydrological responses to climate is abundant, changes in water yield (WY) in mountainous regions due to climate change and intensified cryospheric melt remain unclear, mainly because of limited observations and large uncertainties in cryosphere-hydrological modeling. In this study, we used annual runoff observations and a high...

There is an urgent need for scientific management of agricultural water and land resources to cope with global warming and water shortages. Therefore, a stochastic multi-objective non-linear programming model was established under the society-economy-ecology framework in this study, which is capable of (1) considering the carbon sink function of fa...

In the existing agricultural water management models under uncertainty, the mutual-correlation and their self-correlation of random variables (like precipitation (P), runoff (R), reference evapotranspiration (ET 0), etc.) are often ignored. When expressing the fuzziness of socioeconomic factors, fuzzy membership function is usually determined by th...

Water yield (WY) in the Upper Brahmaputra River (UBR) basin is important for sustaining the ecological environment in the headstream region and supplying valuable freshwater resources downstream. While recent studies indicated the presence of warming and greening trends in the region, the effects of these changes on WY are not yet understood. Here,...

The authors wish to make the following corrections to this paper [1]: [...]

考虑农业系统中水资源与土地资源相互联系、相互影响的特征，本研究建立非线性多目标水土资源联合配置模型．模型基于二次水分生产函数，以灌区总灌溉净效益最大和用水效率最大为目标，对不同作物不同月份的地表水灌溉水量和地下水灌溉水量、灌区种植结构进行联合优化配置．针对传统的求解方法造成结果信息丢失等问题，本研究使用遗传算法求解此复杂非线性多目标模型的Pareto 解集．将模型应用于黑河流域中游盈科灌区，得到194 组非劣的水土资源分配方案．结果表明：Pareto 解集不仅可以直观展示出目标之间相互博弈的状态，而且可以全面展现出水土资源分配的博弈状态，以及随着目标倾向性改变，作物的重要性也可能随之改变的过程．该模型统筹考虑了地表水与地下水资源、水资源与土地资源、灌溉净效益与水资源利用效率之间的关系，将其内...

Drought is one of the most widespread and threatening natural disasters in the world, which has terrible impacts on agricultural irrigation and production, ecological environment, and socioeconomic development. As a critical ecologically fragile area located in southwest China, the Yarlung Zangbo River (YZR) basin is sensitive and vulnerable to cli...

Different from the traditional irrigation optimization model based only on the water production function, in this study, we explored the water–yield–quality–benefit relationship and established a general irrigation scheduling optimization framework. To establish the framework, (1) an artificial neural network coupled with ensemble empirical mode de...