Predicting future impacts of climate and land use change on streamflow in the middle reaches of China's Yellow River DOI

Xiaoni Ma,

Zhanbin Li, Zongping Ren

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 123000 - 123000

Опубликована: Окт. 24, 2024

Язык: Английский

Evaluating land use and climate change impacts on Ravi river flows using GIS and hydrological modeling approach DOI Creative Commons

Sami Ullah,

Usman Ali, Muhammad Rashid

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Сен. 27, 2024

Язык: Английский

Процитировано

4

Effects of Precipitation Changes and Human Activities on Surface Flow in an Arid Region of Southern Iran DOI
Maryam Heydarzadeh,

Nasim Ghashghaeeizadeh,

Hamid Reza Kamali

и другие.

Groundwater for Sustainable Development, Год журнала: 2025, Номер unknown, С. 101434 - 101434

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Integrated impacts of land use changes and climate dynamics on hydrological components in the Munneru River basin, India DOI

Kotapati Narayana Loukika,

K. Venkata Reddy, Eswar Sai Buri

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 125096 - 125096

Опубликована: Март 29, 2025

Язык: Английский

Процитировано

0

Wildfire‐Induced Enhancement in Downstream Flood Discharge in Watersheds of California DOI Creative Commons
Wasitha Dilshan, Yusuke Hiraga, So Kazama

и другие.

Journal of Flood Risk Management, Год журнала: 2025, Номер 18(2)

Опубликована: Апрель 24, 2025

ABSTRACT Global climate change is increasingly associated with the prevalence of extreme precipitation and large wildfires. The influence wildfires on downstream flood discharge concerning, particularly from a risk management perspective, where understanding impact at watershed scale still fairly limited. This study investigates impacts in 30 Californian watersheds. We employed Soil Water Assessment Tool (SWAT) to simulate daily over 20 years, achieving robust model performance R 2 values 0.67–0.86 Nash–Sutcliffe efficiency (NSE) 0.65–0.86. differences between observed volume simulated unburned scenario, including errors (i.e., enhancement), during post‐fire years were assessed. Substantial increases, an average 17.1% increment 83.3% watersheds, found first year. Statistically significant positive correlations ( p < 0.01) enhancement percentage burned area. quantified wildfire by adjusting curve number (CN) SWAT model, CN increasing increments ranging 16.5% 30% their original values, depending burn severity land use type. A novel relationship area could be described equation %CN = 0.39 × % + β, which highlights proportional increase due burned. also showed that incorporating historical activity significantly raised probable maximum flood, increases 3.74% 25.9%. These wildfire‐induced are par California's projections (10%–50%), underscoring need factor effects assessments water strategies this type location.

Язык: Английский

Процитировано

0

Predicting future impacts of climate and land use change on streamflow in the middle reaches of China's Yellow River DOI

Xiaoni Ma,

Zhanbin Li, Zongping Ren

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 123000 - 123000

Опубликована: Окт. 24, 2024

Язык: Английский

Процитировано

1