Selecting the accurate hydrological method for estimating peak discharge in the Lesti River Catchment Area, Malang Regency, East Java Province, Indonesia DOI Creative Commons
Muhammad Taufik Iqbal, Agus Suharyanto, M. Ruslin Anwar

et al.

Journal of Applied and Natural Science, Journal Year: 2023, Volume and Issue: 15(4), P. 1595 - 1607

Published: Dec. 20, 2023

Estimating peak discharge in the catchment poses a challenge for hydrologists due to potential overflow risks. The present study examined various methods, including Synthetic unit hydrograph, Melchior, and Rational, determine value Lesti River Catchment Area. Accurate hydrological input data is essential effectively estimating mitigating damage or failure. Optimized physical parameters using geographic information systems are critical generating values, emphasizing their importance estimation process. mean absolute percentage error (MAPE) average (MAE) were used accurate method discharge. Analysis results showed varied values across different it found that MAPE ranged from 15.15% 7.48% MAE 1.47% 0.63%, respectively. Nakayasu synthetic hydrograph obtained minimum measure compared other methods by 0.63% MAE. Therefore, performance considered was closely approximating observed relatively area.

Language: Английский

Assessing the Sustainability Impacts of the Xiaolangdi Dam: Land Use and Socioeconomic Change in the Middle and Lower Reaches of the Yellow River Basin DOI Open Access
Wei Wang,

Jiarui XI,

Liu Sun

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(19), P. 14343 - 14343

Published: Sept. 28, 2023

This paper assesses the sustainability impacts in middle and lower reaches of Yellow River China after Xiaolangdi Dam was constructed. Based on land use data interpreted from Landsat remote sensing images, covering time period 2000 to 2020 at 5-year intervals, this research uses a dynamic attitude index comprehensive degree reveal type change study area analyze relationship between social economy. The results show that urban rural construction is with largest annual rate, increase most obvious 2005 2010, growing by nearly 900 km2. six types changed sharply grassland unused showing significant change. On whole, tends be stable. analysis indicates has developed direction settlement. Population GDP are main driving factors affecting constant region, which population growth rapid economic development leading decline area, also for expansion land. provide scientific basis sustainable Basin.

Language: Английский

Citations

2

The characteristics and changes of the natural social binary water cycle in the Upper Yellow River Basin under the influence of climate change and human activities: A review DOI Creative Commons

Yuanwei Man,

Meixue Yang, Xiaohua Gou

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 56, P. 102079 - 102079

Published: Nov. 20, 2024

Language: Английский

Citations

0

Spatiotemporal Changes and Driving Factors of Land Use/Land Cover (LULC) in the Wuding River Basin, China: Impacts of Ecological Restoration DOI Open Access

Tingyu Sun,

Mingxia Ni,

Yinuo Yang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10453 - 10453

Published: Nov. 28, 2024

Over the past two decades, large-scale ecological restoration in Loess Plateau has significantly transformed land use and cover (LULC) Wuding River Basin (WRB), improving governance environmental conditions. This study examines spatiotemporal evolution of LULC its driving factors from 2000 to 2020, employing methods such as dynamic degree, transfer matrix, migration trajectory, geographical detector. Results show that (1) grassland dominates basin’s (78.16%), with decreases cropland desert areas, expansions grassland, forest, urban areas. Water bodies minimal fluctuations. The mean annual degree types (from highest lowest) is follows: forest > water grassland. overall fluctuated, initially decreasing (0.85%–0.68%), then increasing (0.68–0.89%), followed by another decline (0.89–0.30%). (2) patterns follow a northwest-to-southeast gradient, primary transitions secondary urban, bodies. Spatial mainly shifts westward northward. (3) Under single-factor influence, natural factors, especially slope (7.2–36.4%) precipitation (6.1–22.3%), are drivers changes, population density (7.9%) GDP (27.5%) influencing In interaction topography climate (40.5–66.1%) primarily drive increases cropland, while human activities (24.8–36.7%) influence area expansion. Desert reduction largely driven climatic (40.3%). between shows either bi-factorial or nonlinear enhancement effect, suggesting their combined offers stronger explanatory power than any single factor alone. highlights significant changes WRB, both activities, contributing enhanced sustainability.

Language: Английский

Citations

0

Cumulative and Lag Effects of Meteorological Drought on Vegetation Cover in the Yellow River Basin DOI
Pingping Zhou, Hao Wu,

Xiaoyan Song

et al.

Ecohydrology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 5, 2024

ABSTRACT Global warming has led to an increase in the frequency of meteorological drought events, posing a significant threat ecosystem security, particularly arid and semi‐arid regions. Previous studies have utilized correlation analyses examine relationship between vegetation drought; however, knowledge gap remains regarding causal process two. This study investigates linkage solar‐induced chlorophyll fluorescence (SIF) standardized precipitation evapotranspiration index (SPEI) Yellow River Basin (YRB) from 2001 2019 explores cumulative lagged effects SIF response SPEI. The results indicated that lag varied with intensity water stress. Vegetation regions exhibited poor tolerance high sensitivity, time SPEI are 6.5 2 months, respectively. Forest, compared cropland grassland, demonstrated greater reduced sensitivity. For forests, were 8.7 7.4 Grassland was more influenced by precipitation, while forests affected temperature. By analysing SPEI, this focuses on drought, which will strengthen understanding areas.

Language: Английский

Citations

0

Selecting the accurate hydrological method for estimating peak discharge in the Lesti River Catchment Area, Malang Regency, East Java Province, Indonesia DOI Creative Commons
Muhammad Taufik Iqbal, Agus Suharyanto, M. Ruslin Anwar

et al.

Journal of Applied and Natural Science, Journal Year: 2023, Volume and Issue: 15(4), P. 1595 - 1607

Published: Dec. 20, 2023

Estimating peak discharge in the catchment poses a challenge for hydrologists due to potential overflow risks. The present study examined various methods, including Synthetic unit hydrograph, Melchior, and Rational, determine value Lesti River Catchment Area. Accurate hydrological input data is essential effectively estimating mitigating damage or failure. Optimized physical parameters using geographic information systems are critical generating values, emphasizing their importance estimation process. mean absolute percentage error (MAPE) average (MAE) were used accurate method discharge. Analysis results showed varied values across different it found that MAPE ranged from 15.15% 7.48% MAE 1.47% 0.63%, respectively. Nakayasu synthetic hydrograph obtained minimum measure compared other methods by 0.63% MAE. Therefore, performance considered was closely approximating observed relatively area.

Language: Английский

Citations

0