Research on the Threshold of the Transverse Gradient of the Floodplain in the Lower Yellow River Based on a Flood Risk Assessment Model DOI Open Access
Zhao Zheng, Ming Li,

Liyu Quan

и другие.

Water, Год журнала: 2024, Номер 16(17), С. 2533 - 2533

Опубликована: Сен. 6, 2024

Due to the influence of water and sediment conditions, engineering projects, channel erosion siltation, river-related factors, human activities (such as adjustments in floodplain production structures village construction), there have been significant variations transverse gradient lower Yellow River. An irrational can lead rapid conversion gravitational potential energy into kinetic during flood evolution process, resulting increased flow velocity inundated areas. Exploring reasonable gradients provide technical support for management. Using “flood risk assessment” a keyword, research papers from Web Science core database CNKI published past five years were collected. Through VOS viewer analysis indicators, assessment model based on “Source–Path–Receptor–Consequence–Resilience” framework was established. A two-dimensional used simulate inundation scenarios with different same event, evaluate risks floodplain, determine optimal levels. The results indicate that, compared low gradients, moderate high more driving effect inundation, increasing opportunities floodplains. Lower (i.e., TG = 10LG 1.25‰) are most favorable protection after inundation.

Язык: Английский

Remote sensing of total suspended matter of inland waters: Past, current status, and future directions DOI Creative Commons
Hui Tao, Kaishan Song,

Zhidan Wen

и другие.

Ecological Informatics, Год журнала: 2025, Номер unknown, С. 103062 - 103062

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Identification of Potential Hydropower Generation Sites using Geospatial techniques in the Megecha Watershed of Ethiopia DOI Creative Commons

Habtamu Wimego Anore,

Tarun Kumar Lohani, Abebe Temesgen Ayalew

и другие.

Heliyon, Год журнала: 2025, Номер 11(2), С. e42063 - e42063

Опубликована: Янв. 1, 2025

The research focuses on modelling the surface water potential using Arc SWAT and Multi-criteria decision-making (MCDM) for selecting hydropower sites in Megecha watershed. tenure stream flow meteorological data used model simulation is from 1990 to 2019 1988-2019 respectively. Geospatial method generate gross head respective hydropower. Multi criteria decision adopted select best site generation. Curve number (CN2), saturated hydraulic conductivity (SOL_K), moist bulk density (SOL_BD), available moisture soil layer (SOL_AWC) were among most sensitive parameters assessed during research. performance of obtained R2, NSE PBIAS 0.84, 0.78 -4.6 0.81, 0.72 -4.8 percentages calibration validation periods, Based duration curve, minimum river percent exceedance 90 % (Q90) 1, 2, 3 are 0.37 m3/s, 0.45 0.48 heads corresponding identified 15, 25, 20 m 54.45 KW, 110.36 94.18 KW at site1, 3, From GIS based MCDM analysis, alternative generation comparison sites. total watershed area was 1176 km2 which, 308.65 million m3 runoff generated by annually. has high potential, rivers have enough that may be development.

Язык: Английский

Процитировано

0

Research on the Threshold of the Transverse Gradient of the Floodplain in the Lower Yellow River Based on a Flood Risk Assessment Model DOI Open Access
Zhao Zheng, Ming Li,

Liyu Quan

и другие.

Water, Год журнала: 2024, Номер 16(17), С. 2533 - 2533

Опубликована: Сен. 6, 2024

Due to the influence of water and sediment conditions, engineering projects, channel erosion siltation, river-related factors, human activities (such as adjustments in floodplain production structures village construction), there have been significant variations transverse gradient lower Yellow River. An irrational can lead rapid conversion gravitational potential energy into kinetic during flood evolution process, resulting increased flow velocity inundated areas. Exploring reasonable gradients provide technical support for management. Using “flood risk assessment” a keyword, research papers from Web Science core database CNKI published past five years were collected. Through VOS viewer analysis indicators, assessment model based on “Source–Path–Receptor–Consequence–Resilience” framework was established. A two-dimensional used simulate inundation scenarios with different same event, evaluate risks floodplain, determine optimal levels. The results indicate that, compared low gradients, moderate high more driving effect inundation, increasing opportunities floodplains. Lower (i.e., TG = 10LG 1.25‰) are most favorable protection after inundation.

Язык: Английский

Процитировано

0