干旱区生态环境知识资源中心(Arid): Spatio-temporal variation in surface water in Punjab, Pakistan from 1985 to 2020 using machine-learning methods with time-series remote sensing data and driving factors

Arid

DOI	10.1016/j.agwat.2023.108228
	Spatio-temporal variation in surface water in Punjab, Pakistan from 1985 to 2020 using machine-learning methods with time-series remote sensing data and driving factors
	Tariq, Aqil; Qin, Shujing
通讯作者	Tariq, A
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2023
卷号	280
英文摘要	Pakistan is home to many natural and artificial bodies of water, which are inevitable for agriculture, domestic use, recreation, etc. In the arid, semi-arid, and wet areas of the land, the distribution, spatio-temporal variations, and the impacts on water dynamics of climate and anthropogenic drivers were studied. In this study, we used Landsat, 5, 7, and 8 satellite images to generate annual and seasonal water frequency maps per pixel for the 1985-2020 period. The analysis findings have shown substantial inter-and intra-annual variability in rainfall and temperature. In addition, results revealed significant zonal disparities in water patterns, with the arid zone displaying the most drastic variations. We found out that the area (2530.42 km2) is occupied by water bodies, of which 1322.24 km2 (52.25%) seasonal and 1208.18 km2 (47.75%) are permanent water zones. There is a dramatic decline rate of 1.02 +/- 1.84 km2/year in contrast to permanent water (0.97 +/- 1.99 km2/year), total inland seasonal water has increased. During July and August, Punjab has the highest seasonal water area (1822.30 km2) and declines to the lowest (523.20 km2) in October to December and February to May when permanent water (708.12 km2) is greater than that of seasonal water. Gross Domestic Product (GDP) and rainfall were positively related to the surface water areas, while the temperature was inversely related. The outcome of our research offers valuable insights into future spatio-temporal variations, the supply of surface water in Punjab in the context of such anthropogenic and climate change activities.
英文关键词	Landsat time -series Inland water area Surface water change Spatio-temporal dynamics and variations Semi -arid arid and wet zone
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:000942465200001
WOS关键词	3 DECADES ; CLIMATE ; DYNAMICS ; REGION ; AREA ; CLASSIFICATION ; INFORMATION ; TEMPERATURE ; LANDSAT-8 ; EXTREMES
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395055
推荐引用方式 GB/T 7714	Tariq, Aqil,Qin, Shujing. Spatio-temporal variation in surface water in Punjab, Pakistan from 1985 to 2020 using machine-learning methods with time-series remote sensing data and driving factors[J],2023,280.
APA	Tariq, Aqil,&Qin, Shujing.(2023).Spatio-temporal variation in surface water in Punjab, Pakistan from 1985 to 2020 using machine-learning methods with time-series remote sensing data and driving factors.AGRICULTURAL WATER MANAGEMENT,280.
MLA	Tariq, Aqil,et al."Spatio-temporal variation in surface water in Punjab, Pakistan from 1985 to 2020 using machine-learning methods with time-series remote sensing data and driving factors".AGRICULTURAL WATER MANAGEMENT 280(2023).