Watershed prioritization and hydro-morphometric analysis for the potential development of Tabuk Basin, Saudi Arabia using multivariate statistical analysis and coupled RS-GIS approach

Yawar Ali Khan, Mohd; ElKashouty, Mohamed

doi:10.1016/j.ecolind.2023.110766

Cited by 7 publications

(1 citation statement)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, in recent years, the escalating threat of a hotter climate, the deterioration in precipitation, and harsh droughts in Saudi Arabia have reduced the predictability of water management efficiency and resulted in the exhaustion of water bodies and the serious degradation of ecosystems that have gone on to affect the agriculture systems. Groundwater is considered one of Saudi Arabia’s most significant and only freshwater resources and is scarce and impaired by aridity, overexploitation, and low rainfall [ 14 ]. However, contaminated groundwater can affect the health risk [ 15 ] by reducing crop yield directly and threatening food security indirectly.…”

Section: Introductionmentioning

confidence: 99%

Food insecurity and water management shocks in Saudi Arabia: Bayesian VAR analysis

Elzaki,

Al-Mahish

2024

PLoS ONE

View full text Add to dashboard Cite

The existing conditions of domestic agricultural production and the resulting products will not be able to fruitfully address the increasing food demand due to the limited fertile land and water resources in Saudi Arabia. Moreover, the escalating threat of a hotter climate, the deterioration in precipitation, and harsh droughts in Saudi Arabia have reduced the predictability of water management efficiency and resulted in the exhaustion of water bodies and serious degradation of ecosystems that have directly affected agricultural systems and indirectly, food security. This study also aims to assess the impact of water efficiency on food insecurity in Saudi Arabia. The study applied the Bayesian Vector Autoregressive (BVAR) model for the reference period for the data extended from 2000–2020. Likewise, we used both impulse response functions (IRFs) and forecasting variance error decomposition (FVED) through 1000 Monte Carlo simulations according to the BVAR model to examine both the response of food insecurity to the shocks on water management efficiency used for various purposes and the decomposition of error variance in food insecurity. The results show that food insecurity was not observed throughout this study. The results of the BVAR analysis indicate that in the short run, the coefficients of water use efficiency are significant based on the Food Insecurity Multidimensional Index (FIMI). Also, the BVAR model provides a better forecast with an interdependence on water use efficiency for agricultural purposes and FIMI. Moreover, the results obtained from IRFs have shown a significant effect of water efficiency on FIMI. Water use efficiency for agriculture and industrial purposes reduces food insecurity while increasing water for services use increases food insecurity. Water use efficiency is the key factor affecting food insecurity in the short run. The results reveal that the water use efficiency shocks will decrease food insecurity. The shocks experienced by food insecurity can be predicted as self-shock over a span of ten years. Emphasis is given to the task of water management that may support food security in Saudi Arabia through implementing and enhancing the water use efficiency as an integral part of achieving the SDGs in Saudi Arabia.

show abstract

Section: Introductionmentioning

confidence: 99%

Food insecurity and water management shocks in Saudi Arabia: Bayesian VAR analysis

Elzaki,

Al-Mahish

2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

Mapping the virtual water trade in water-scarce basin: an environmentally extended input-output analysis in the Yellow River Basin of China

Zhang,

Niu,

et al. 2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

The mismatch between the distribution of water resources and the industrial structure has led to an increasingly prosperous regional trade, with many water resources flowing from the production to the consumption regions. This paper maps the inside and outside virtual water trade of the Yellow River Basin, applying the environmentally extended input-output model to evaluate the external dependence of water in the Yellow River Basin. The results show that the Yellow River Basin mobilizes 27.2 billion of virtual water flowing into other regions despite water scarcity, equivalent to half the runoff of the Yellow River. The leading destination for outflow is the Eastern coast, and the largest virtual water outflow sector is Agriculture and Manufacturing. The inequity of the inside virtual water trade of the Yellow River Basin is severe, with large amounts of virtual water flowing from poor to rich regions. It exacerbates water scarcity in poor regions.

show abstract

Evaluating suitability of development and construction with of minimum cumulative resistance model for a mountain scenic area in Jinyun Xiandu, China

Fu,

Zhang,

Wang

2024

Ecological Engineering

View full text Add to dashboard Cite

Watershed prioritization and hydro-morphometric analysis for the potential development of Tabuk Basin, Saudi Arabia using multivariate statistical analysis and coupled RS-GIS approach

Cited by 7 publications

References 50 publications

Food insecurity and water management shocks in Saudi Arabia: Bayesian VAR analysis

Food insecurity and water management shocks in Saudi Arabia: Bayesian VAR analysis

Mapping the virtual water trade in water-scarce basin: an environmentally extended input-output analysis in the Yellow River Basin of China

Evaluating suitability of development and construction with of minimum cumulative resistance model for a mountain scenic area in Jinyun Xiandu, China

Contact Info

Product

Resources

About