Influence of Groundwater Depth on Soil Ion Distribution in the Agricultural Irrigation Areas of Northwest China

Agriculture, Journal Year: 2025, Volume and Issue: 15(7), P. 747 - 747

Published: March 31, 2025

Extensive and unregulated groundwater extraction for irrigation in the arid inland basins of Northwest China has led to a continuous increase depth agricultural areas. This significantly altered distribution soil ions, making it difficult predict their evolution dynamic patterns. In this study, we used space-for-time substitution approach elucidate ion under changing depths. Experiments were conducted three typical areas with varying depths, that is, below 5 m, 5–10 above 10 m Korla, Xinjiang, China. Soil samples collected from five profiles at depths 0–180 cm measure moisture, salinity, major content. An innovative research framework was developed examine relationship between using ratios, principal components, hierarchical clustering, correlation analyses. aims reveal dynamics, correlations, mechanisms distribution, representative composition as increases The results showed increased, chemical type shifted Ca-SO4 Na-SO4 mixed types, an SO42− Na+ content profile. sodium adsorption ratio (SAR), total dissolved solids (TDS) higher shallow than deep groundwater. Groundwater negatively correlated cations anions (K+, Na+, Ca2+, Mg2+, Cl−, SO42−, NO3−). Meanwhile, positive exists CO32−. ions is primarily governed by influenced multiple factors. Evaporation dominant factor areas, whereas mineral rocks plays crucial role These findings provide scientific support strategic water-resource management policies sustainable development strategies regions.

Language: Английский

Irrigation Water Demand Management-Based Innovative Strategy: Model Application on the Green Riyadh Initiative, Saudi Arabia

Water, Journal Year: 2024, Volume and Issue: 16(24), P. 3559 - 3559

Published: Dec. 10, 2024

Water demand is expected to dramatically increase due the spread of green and landscape project developments. The main objective this study enhance water management in Riyadh, Saudi Arabia, based on an innovative strategy utilizing remote sensing techniques. Furthermore, focuses Green Riyadh initiative, which emphasizes need for sustainable use urban areas amidst growing scarcity. majority supplies irrigation are utilized maintain vegetation health, aesthetic appearance, municipal amenities. By employing advanced (RS) techniques through Landsat 8 satellite imagery alongside ground-verification methodologies, research develops a new approach called Plant Coefficient Method (PCM) estimate plant evapotranspiration (ETpl) rates various plants. quantifies demands evaluates relationship between coefficient values, reference ET rates, indices, revealing distinct patterns spatial temporal usage, identifying effective species selections, providing essential insights enhancing conservation strategies arid environments. Moreover, exposes average annual precipitation just 73 mm finds that with good PCM, daily projected ETpl may be as low 2.6 mm/day, greatly decreasing needs by around 70% 50% when compared higher categorization situations. findings underscore importance integrating accurate estimation methods planning support minimize ecological impact development drought-prone regions.

Language: Английский