Relationship between sand dew and plant leaf dew and its significance in irrigation water supplementation in Guanzhong Basin, China

Jia, Zhang; Ma, Yandong; Liu, Peng; Yao, Congcong

doi:10.1007/s12665-019-8345-6

Cited by 6 publications

(2 citation statements)

References 68 publications

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“…The population of the Guanzhong Basin includes the population of Xi’an (8.07 million), Weinan (5.47 million), Xianyang (4.98 million), and Baoji (3.76 million), accounting for about 60% of the total population (37.2 million) of Shaanxi Province. Moreover, the Guanzhong Basin is an important section of the Silk Road economic belt and has been part of the most important political, economic, cultural, social, and educational areas of the world [9,32,33].…”

Section: Study Areamentioning

confidence: 99%

Assessment of Groundwater Quality and Human Health Risk (HHR) Evaluation of Nitrate in the Central-Western Guanzhong Basin, China

Zhang

Qian

2019

IJERPH

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To investigate the quality of domestic groundwater and assess its risk to inhabitants of the Guanzhong Basin, China, 191 groundwater samples were collected to analyze major ions, nitrate, pH, total dissolved solids (TDS), total hardness (TH), and electrical conductivity (EC). The physiochemical parameters, hydrochemical facies, and sources of major ions were analyzed using Durov diagrams, bivariate diagrams, and chloro-alkaline indices (CAI-I and CAI-II). The suitability of groundwater for drinking, the nitrate distribution, and human health risk (HHR) for different age groups were evaluated. The results showed that the relative abundance of cations in the groundwater samples was K++Na+ > Ca2+ > Mg2+, while that of anions was HCO3− > SO42− > Cl− > NO3−. Groundwater samples mainly contained HCO3-Na and HCO3-Ca, which were introduced mainly by rock weathering and ion exchange. The groundwater in the Guanzhong Basin contained mainly good and medium water, and the groundwater in the southern part of the Wei River was better than that north of the Wei River. Areas containing high nitrate concentrations were mainly located in the central and western parts of the Guanzhong Basin. The percentages of low risk (<45 mg/L), high risk (45–100 mg/L), and very high risk (>100 mg/L) of nitrate pollution in the study area were 90.58%, 8.9%, and 0.52%, respectively. The HHR assessment results indicated that people in the 6–12 month age group were more likely to suffer from health complications due to a higher nitrate concentration, followed by 6–11 years, 21–65 years, 18–21 years, ≥65 years, 11–16 years, and 16–18 years age groups, which was mainly due to the different exposure parameters. The results of this study will be useful in regional groundwater management and protection.

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Section: Study Areamentioning

confidence: 99%

Assessment of Groundwater Quality and Human Health Risk (HHR) Evaluation of Nitrate in the Central-Western Guanzhong Basin, China

Zhang

Qian

2019

IJERPH

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“…Particularly, in the arid and semi-arid regions where water resources are scarce, dew is a proven essential water source (Tuure et al, 2019;Hill et al, 2020), whose hydrological and ecological effects are substantial. In arid and semi-arid regions, dewfall amount can account for more than 50% of rainfall amount, even exceeding the amount of rainfall in specific periods (Hao et al, 2012;Jia et al, 2019). Dew plays an important role in maintaining the water balance and it can efficiently reduce water loss caused by soil evaporation (Xiao et al, 2009;Meissner et al, 2010;Lekouch et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Dew amount and its long-term variation in the Kunes River Valley, Northwest China

et al. 2022

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Dew is an essential water resource for the survival and reproduction of organisms in arid and semi-arid regions. Yet estimating the dew amount and quantifying its long-term variation are challenging. In this study, we elucidate the dew amount and its long-term variation in the Kunes River Valley, Northwest China, based on the measured daily dew amount and reconstructed values (using meteorological data from 1980 to 2021), respectively. Four key results were found: (1) the daily mean dew amount was 0.05 mm during the observation period (4 July-12 August and 13 September-7 October of 2021). In 35 d of the observation period (i.e., 73% of the observation period), the daily dew amount exceeded the threshold (>0.03 mm/d) for microorganisms; (2) air temperature, relative humidity, and wind speed had significant impacts on the daily dew amount based on the relationships between the measured dew amount and meteorological variables; (3) for estimating the daily dew amount, random forest (RF) model outperformed multiple linear regression (MLR) model given its larger R 2 and lower MAE and RMSE; and (4) the dew amount during June-October and in each month did not vary significantly from 1980 to the beginning of the 21 st century. It then significantly decreased for about a decade, after it increased slightly from 2013 to 2021. For the whole meteorological period of 1980-2021, the dew amount decreased significantly during June-October and in July and September, and there was no significant variation in June, August, and October. Variation in the dew amount in the Kunes River Valley was mainly driven by relative humidity. This study illustrates that RF model can be used to reconstruct long-term variation in the dew amount, which provides valuable information for us to better understand the dew amount and its relationship with climate change.

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Microlysimeters overestimate the amount of non-rainfall water – an experimental approach

Kidron

Kronenfeld

2020

CATENA

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Relationship between sand dew and plant leaf dew and its significance in irrigation water supplementation in Guanzhong Basin, China

Cited by 6 publications

References 68 publications

Assessment of Groundwater Quality and Human Health Risk (HHR) Evaluation of Nitrate in the Central-Western Guanzhong Basin, China

Assessment of Groundwater Quality and Human Health Risk (HHR) Evaluation of Nitrate in the Central-Western Guanzhong Basin, China

Dew amount and its long-term variation in the Kunes River Valley, Northwest China

Microlysimeters overestimate the amount of non-rainfall water – an experimental approach

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