Modelling impacts of climate change on snow drought, groundwater drought, and their feedback mechanism in a snow-dominated watershed in western Canada

Journal of Hydrology, Год журнала: 2024, Номер 636, С. 131342 - 131342

Опубликована: Май 14, 2024

Язык: Английский

---

Modelling the impacts of future droughts and post-droughts on hydrology, crop yields, and their linkages through assessing virtual water trade in agricultural watersheds of high-latitude regions

Journal of Hydrology, Год журнала: 2024, Номер 639, С. 131530 - 131530

Опубликована: Июнь 18, 2024

This study elaborates on the effects of future drought and post-drought conditions reliability global breadbaskets. The simulates agro-hydrological processes in Nelson River Basin, a large agricultural watershed western Canada that supplies food for over 170 countries globally. In temperate zones higher latitudes, climate change scenarios suggest breadbaskets will likely experience increased precipitation crop yields (Y). could be perceived as an export potential from these regions. However, projected events can affect processes, Y, and, therefore, potentials during following events. Using process-based agro-hydrologic model, this research examines impacts droughts hydrological water yield (WYLD), their linkages through assessing net virtual (NVWE), embodied production crops are destined export. results indicate long-term average NVWE, WYLD expected to improve future. become more extreme future, leading considerable reductions WYLD. During period, recovery time is considerably longer than Y NVWE across slow WYLD, drought, related uptake, which controlled by optimization cropping pattern. continuous loss after prolonged frequent significantly not only environment several economic sectors but also irrigated finding highlights connections between local hydrology trade systems watersheds higher-latitude Future adaptation measures, such changes patterns, preserve droughts, supporting security.

Язык: Английский

---

Examining future spatiotemporal changes in blue and green water using an enhanced SWAT model: A Jialing River basin case study

Ecological Indicators, Год журнала: 2024, Номер 170, С. 112941 - 112941

Опубликована: Дек. 12, 2024

Язык: Английский

---

Assessment of the impacts of climate change on groundwater evapotranspiration in mid-to-high latitude regions

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 133294 - 133294

Опубликована: Апрель 1, 2025

Язык: Английский

---

A Distributed Machine Learning Model for Blue and Green Water Resources With Transferable Applications in Similar Climatic Zones

Water Resources Research, Год журнала: 2025, Номер 61(5)

Опубликована: Май 1, 2025

Abstract Human activities profoundly impact the terrestrial water cycle and spatiotemporal dynamics of blue green resources. Distributed hydrological models are essential for simulating resources within a basin. However, neither process‐based nor data‐driven have fully captured effects human on distribution in space time. Here we construct distributed machine learning model monthly resources, which is trained calibrated Yellow River Basin (YRB) China, validated tested transferability to similar climatic zones case Colorado (CRB) United States. The modeling thoroughly accounts influence activities, incorporating 5 scales (grid, county, city, province, cluster), 4 algorithms, 2 integration methods (Stacking Bayesian). R values reached 0.84 0.97 models, respectively, during test period YRB. corresponding high accuracy maintained with 0.72 when transferred CRB. performed better regions higher activity intensity. Precipitation spatial encoding respectively most sensitive feature variables while nighttime lights population density significant activity‐related features. study highlights non‐negligible impacts socioeconomic factors feasibility modeling.

Язык: Английский

---

Assessing water security and footprint in hypersaline Lake Urmia

Ecological Indicators, Год журнала: 2023, Номер 155, С. 110955 - 110955

Опубликована: Сен. 15, 2023

The quantitative assessment of water security including its distribution helps plan and manage adequate amounts quality to sustain livelihoods. This research introduces a hydrological modeling framework designed evaluate the spatial temporal fluctuations blue green water, aiming quantify status Lake Urmia in Iran. lake, recognized as second largest hypersaline lake globally, has experienced significant decline storage recent years. model, based on consumption population size was used investigate footprint while quantifying changes availability water. As results demonstrate, monthly annual coefficient variation for (41.1 % 27.6%, respectively) greater than (32.3% 21.7%, respectively), hence flow showed more homogeneous among different sub-basins. At same time, differs between various components footprint. Agricultural use requires most this basin, with scarcity 0.27. vulnerability value total indicates lower risk crisis under low-flow conditions. In addition, freshwater provision indicator each sub-basin varies middle (0.64) (0.80) parts. Thus, these parts, can be consumed less negative impact environment. conclusion, environmental situation clearly decreased over last decade which urgent management action (e.g., changing irrigation pattern) mitigate an crisis. offers precise quantifiable references related resources security, enhance targeted within study area. Our provides basis inform similar watersheds across globe.

Язык: Английский

---

Assessment of water footprints in different sectors: utilization, safety and challenges

Current directions in water scarcity research, Год журнала: 2024, Номер unknown, С. 17 - 28

Опубликована: Янв. 1, 2024

Язык: Английский

---

Achieving Sustainable Resource Development: A State-of-the-Art Understanding of Blue-Green Water

ACS ES&T Water, Год журнала: 2024, Номер unknown

Опубликована: Сен. 23, 2024

Язык: Английский

---