干旱区生态环境知识资源中心(Arid): Prediction of Sediment Yield in a Data-Scarce River Catchment at the Sub-Basin Scale Using Gridded Precipitation Datasets

Arid

DOI	10.3390/w14091480
	Prediction of Sediment Yield in a Data-Scarce River Catchment at the Sub-Basin Scale Using Gridded Precipitation Datasets
	Ijaz, Muhammad Asfand; Ashraf, Muhammad; Hamid, Shanawar; Niaz, Yasir; Waqas, Muhammad Mohsin; Tariq, Muhammad Atiq Ur Rehman; Saifullah, Muhammad; Bhatti, Muhammad Tousif; Tahir, Adnan Ahmad; Ikram, Kamran; Shafeeque, Muhammad; Ng, Anne W. M.
通讯作者	Ashraf, M
来源期刊	WATER
EISSN	2073-4441
出版年	2022
卷号	14 期号:9
英文摘要	Water-related soil erosion is a major environmental concern for catchments with barren topography in arid and semi-arid regions. With the growing interest in irrigation infrastructure development in arid regions, the current study investigates the runoff and sediment yield for the Gomal River catchment, Pakistan. Data from a precipitation gauge and gridded products (i.e., GPCC, CFSR, and TRMM) were used as input for the SWAT model to simulate runoff and sediment yield. TRMM shows a good agreement with the data of the precipitation gauge (approximate to 1%) during the study period, i.e., 2004-2009. However, model simulations show that the GPCC data predicts runoff better than the other gridded precipitation datasets. Similarly, sediment yield predicted with the GPCC precipitation data was in good agreement with the computed one at the gauging site (only 3% overestimated) for the study period. Moreover, GPCC overestimated the sediment yield during some years despite the underestimation of flows from the catchment. The relationship of sediment yields predicted at the sub-basin level using the gauge and GPCC precipitation datasets revealed a good correlation (R-2 = 0.65) and helped identify locations for precipitation gauging sites in the catchment area. The results at the sub-basin level showed that the sub-basin located downstream of the dam site contributes three (3) times more sediment yield (i.e., 4.1%) at the barrage than its corresponding area. The findings of the study show the potential usefulness of the GPCC precipitation data for the computation of sediment yield and its spatial distribution over data-scarce catchments. The computations of sediment yield at a spatial scale provide valuable information for deciding watershed management strategies at the sub-basin level.
英文关键词	sediment yield SWAT gridded precipitation watershed management Gomal River Pakistan
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000795254200001
WOS关键词	SOIL-EROSION ; CLIMATE-CHANGE ; SWAT MODEL ; WATER-QUALITY ; INDUS BASIN ; CHECK DAMS ; RUNOFF ; IMPACT ; CALIBRATION ; IRRIGATION
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394782
推荐引用方式 GB/T 7714	Ijaz, Muhammad Asfand,Ashraf, Muhammad,Hamid, Shanawar,et al. Prediction of Sediment Yield in a Data-Scarce River Catchment at the Sub-Basin Scale Using Gridded Precipitation Datasets[J],2022,14(9).
APA	Ijaz, Muhammad Asfand.,Ashraf, Muhammad.,Hamid, Shanawar.,Niaz, Yasir.,Waqas, Muhammad Mohsin.,...&Ng, Anne W. M..(2022).Prediction of Sediment Yield in a Data-Scarce River Catchment at the Sub-Basin Scale Using Gridded Precipitation Datasets.WATER,14(9).
MLA	Ijaz, Muhammad Asfand,et al."Prediction of Sediment Yield in a Data-Scarce River Catchment at the Sub-Basin Scale Using Gridded Precipitation Datasets".WATER 14.9(2022).