Influence of rainfall pattern and infiltration capacity on the spatial and temporal inundation characteristics of urban waterlogging DOI Creative Commons
Yishuo Jiang, Jiake Li,

Yiping Li

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 4, 2023

Abstract The rapid development of the city leads to continuous updating ratio land use allocation, especially during flood season, which will exacerbate significant changes in spatial and temporal patterns urban flooding, increasing difficulty forecasting early warning. In this study, evolution flooding a high-density area was analyzed based on Mike Flood model, influence mechanisms different rainfall peak locations infiltration rate scenarios characteristics waterlogging were explored. results revealed that under same return period, larger coefficient, value inundation volume area. When coefficient is small, higher period is, lag time P = 50a, r 0.2, delay for depths H > 0.03 m 0.15 reached 32 min 45 min, respectively, At time, there are also differences depths. greater depth, longer volume, more effect prolongation. It worth noting increase lead advance area, overall obvious than volume. times advanced by 4 ~ 8 − 2 9 m, after rate; smaller time. capacities obtained study can help provide new perspective warning waterlogging.

Language: Английский

An Investigation of Urban Heat Island Effect and Environmental Livability based on Remote Sensing Methods DOI Creative Commons
Ziyan Li

Highlights in Science Engineering and Technology, Journal Year: 2024, Volume and Issue: 108, P. 6 - 13

Published: Aug. 13, 2024

Rapid urbanization has led to an increase in the urban heat island (UHI) effect. The UHI effect leads localized high temperatures, reduced air quality, increased risk of stress and other diseases among residents. At same time, it also reduces socialization Remote sensing technology, with its advantages quantification, automation real-time, can be used analyze further assess livability cities. In this paper, based on remote image processing methods, indexes land surface temperature (LST), normalized vegetation index (NDVI), difference build-up (NDBI), intensity (UHII) were selected scope influence livability. important is human comfort, while affects comfort by influencing humidity. This paper concludes that mainly reflected significant decrease NDVI value NDBI value. Meanwhile, there a linear regression relationship between addition, increases energy consumption decreases environmental destroying proposed green city programs such as roofs cool sidewalks improve spatial structure. However, still have limitations lower efficiency higher cost. Therefore, future, will mitigated at source directly reducing solar radiation.

Language: Английский

Citations

0

Improvement of the SWAP-Hapke model and evaluation of multi-angle retrieval accuracy DOI Creative Commons
Ziwei Wang, Guorui Jia,

Shuliang Jin

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 18, P. 1376 - 1394

Published: Nov. 19, 2024

Language: Английский

Citations

0

Impact of Land Use Change on Water-Related Ecosystem Services under Multiple Ecological Restoration Scenarios in the Ganjiang River Basin, China DOI Open Access
Yiming Wang, Zengxin Zhang, Xi Chen

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(7), P. 1225 - 1225

Published: July 15, 2024

Ecological restoration programs (ERPs) can lead to dramatic land use change, thereby affecting ecosystem services and their interaction. Determining the optimal ERPs is a crucial issue for ecological in ecologically fragile regions. This study analyzed impacts of change on four water-related (WESs), namely water yield, soil retention, purification, food production Ganjiang River basin, China during past two decades. Then, trade-off synergy between WESs were detected based correlation analysis. Finally, quantify effect WESs, we comprehensively considered types intensity designed categories scenarios: returning farmland forest (RFF) scenarios; planting (PF) riparian forestland buffer (RFB) grassland (RGB) scenarios. Each category contains five scenarios different intensities. The results showed that increased while purification decreased from 2000 2020. deterioration quality was mainly due transitions built-up land. Trade-offs only occurred regulating provisioning services. Among all scenarios, RFF significantly improve retention at same time, although will decrease. Considering security, with slope greater than 10 degrees scenario area. highlighted both type should be restoration. contribute basin other subtropical mountainous

Language: Английский

Citations

0

Changing soil characteristics as affected by different land uses in a humid region, west of Iran DOI Creative Commons

Pariya Heidari,

Mohammad Feizian

EURASIAN JOURNAL OF SOIL SCIENCE (EJSS), Journal Year: 2024, Volume and Issue: 14(1), P. 9 - 21

Published: Sept. 30, 2024

Land use change, mostly from forest to conventional agriculture, has a detrimental impact on soil health and production. However, the of such LUC biological characteristics is unknown. This study aimed evaluate some physicochemical properties with varied land uses in southwestern Khorramabad area. The research locations comprised diverse types including coniferous forest, broadleaf farmland, rangeland. According findings, there was no significant variation bulk density (ρb) at 33 kPa (ρb33) for various uses, but difference between different layers. amount clay silt varies dramatically across uses. quantity sand used did not differ significantly usage (p Farmland (0.05%)> (0.03%). findings also suggested that microbial respiration considerably declined all as shifted pasture farmland. Notably, farmland includes greatest population fungi, bacteria, actinomycetes, other

Language: Английский

Citations

0

Influence of rainfall pattern and infiltration capacity on the spatial and temporal inundation characteristics of urban waterlogging DOI Creative Commons
Yishuo Jiang, Jiake Li,

Yiping Li

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 4, 2023

Abstract The rapid development of the city leads to continuous updating ratio land use allocation, especially during flood season, which will exacerbate significant changes in spatial and temporal patterns urban flooding, increasing difficulty forecasting early warning. In this study, evolution flooding a high-density area was analyzed based on Mike Flood model, influence mechanisms different rainfall peak locations infiltration rate scenarios characteristics waterlogging were explored. results revealed that under same return period, larger coefficient, value inundation volume area. When coefficient is small, higher period is, lag time P = 50a, r 0.2, delay for depths H > 0.03 m 0.15 reached 32 min 45 min, respectively, At time, there are also differences depths. greater depth, longer volume, more effect prolongation. It worth noting increase lead advance area, overall obvious than volume. times advanced by 4 ~ 8 − 2 9 m, after rate; smaller time. capacities obtained study can help provide new perspective warning waterlogging.

Language: Английский

Citations

0