Irrigation alters source-composition characteristics of groundwater dissolved organic matter in a large arid river basin, Northwestern China

Hu, Yue; Lu, YueHan; Edmonds, Jennifer W.; Liu, Chuankun; Zhang, Qiang; Chen, Kewei

doi:10.1016/j.scitotenv.2020.144372

Cited by 21 publications

(6 citation statements)

References 60 publications

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“…The ash content in the soil samples ranges from 6% to 31%, and the OM contents vary between 70% and 90%. The soils' overall high organic matter content is likely due to waterlogging practices for rice planting [55]. The unique properties of flooded soils make rice different from any other crop.…”

Section: Effects Of Groundwater Pumping On Soil Qualitymentioning

confidence: 99%

Soil and Groundwater Investigation for Sustainable Agricultural Development: A Case Study from Brunei Darussalam

et al. 2022

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Brunei has made significant progress in agricultural development over the past four decades. However, crop production, such as rice, is still insufficient to meet the demands of the growing population, mainly due to the scarcity of water resources, acidic soils, and advancing environmental deterioration. This study conducted soil and groundwater investigations at three selected rice cultivation sites in Brunei Darussalam. The geoelectrical resistivity method using the vertical electrical sounding (VES) technique delineated subsurface stratigraphy with resistivities ranging from 1 to 180 Ωm in the investigated area. A potential aquifer zone was inferred in one of the surveyed areas with resistivities ranging from 10 to 150 Ωm at depths of about 40 to 60 m below ground level. Groundwater levels were also shallower in irrigated sites compared to non-irrigated sites. Groundwater physicochemical properties revealed high alkalinity and mineralisation, as evident from high magnesium, bicarbonate, ammoniacal nitrogen, and iron, as well as pH values in the water samples, believed to be the effects of leaching of salt ions into the shallow aquifer through infiltration recharge. In addition, soil physicochemical properties showed that the soils near a pumping well were more acidic, had lower moisture, and total nutrients, likely due to the effects of groundwater pumping. Our results demonstrate that future irrigation activities need to consider local aquifer characteristics, groundwater flow paths, and nutrient transport to ensure sustainable development in agricultural areas.

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Section: Effects Of Groundwater Pumping On Soil Qualitymentioning

confidence: 99%

Soil and Groundwater Investigation for Sustainable Agricultural Development: A Case Study from Brunei Darussalam

et al. 2022

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“…WB and IC were significantly positively related to ln (SOC). This phenomenon is probably because the high percentages of water bodies and irrigated canals ensure that local farmlands can be better irrigated, which promotes vegetation growth and thus increases the input of carbon into the soil [90][91][92].…”

Section: Relationship Between Soc and Environmental Variablesmentioning

confidence: 99%

Mapping Soil Organic Carbon in Low-Relief Farmlands Based on Stratified Heterogeneous Relationship

Chen

Yang

et al. 2022

Remote Sensing

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Accurate mapping of farmland soil organic carbon (SOC) provides valuable information for evaluating soil quality and guiding agricultural management. The integration of natural factors, agricultural activities, and landscape patterns may well fit the high spatial variation of SOC in low-relief farmlands. However, commonly used prediction methods are global models, ignoring the stratified heterogeneous relationship between SOC and environmental variables and failing to reveal the determinants of SOC in different subregions. Using 242 topsoil samples collected from Jianghan Plain, China, this study explored the stratified heterogeneous relationship between SOC and natural factors, agricultural activities, and landscape metrics, determined the dominant factors of SOC in each stratum, and predicted the spatial distribution of SOC using the Cubist model. Ordinary kriging, stepwise linear regression (SLR), and random forest (RF) were used as references. SLR and RF results showed that land use types, multiple cropping index, straw return, and percentage of water bodies are global dominant factors of SOC. Cubist results exhibited that the dominant factors of SOC vary in different cropping systems. Compared with the SOC of paddy fields, the SOC of irrigated land was more affected by irrigation-related factors. The effect of straw return on SOC was diverse under different cropping intensities. The Cubist model outperformed the other models in explaining SOC variation and SOC mapping (fitting R2 = 0.370 and predicted R2 = 0.474). These results highlight the importance of exploring the stratified heterogeneous relationship between SOC and covariates, and this knowledge provides a scientific basis for farmland zoning management. The Cubist model, integrating natural factors, agricultural activities, and landscape metrics, is effective in explaining SOC variation and mapping SOC in low-relief farmlands.

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“…DOM has a signi cant impact on aquatic ecosystems by affecting biological, chemical and physical processes of water bodies (Jiang et al, 2009). DOM, being the largest organic matter pool in natural waters, is mainly derived from allochthonous and autochthonous sources, whose properties are closely relevant to spatial and seasonal variations (Jaffe et al, 2012;Hu et al, 2021). Hence, it is essential to study DOM characterization and sources for water environmental assessment.…”

Section: Introductionmentioning

confidence: 99%

Spectroscopic properties of dissolved organic matter during the wet season in the Huma River Basin, China

Zhang

Meng

Zhang

et al. 2023

Preprint

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Dissolved organic matter (DOM) is the largest organic matter pool in natural waters, which is critical for ecological and societal values. The Huma River Basin (HRB) in China during the wet season presented a high background value, owning to the unusually high CODMn concentrations. To explain the phenomenon, the spectroscopic properties of DOM were studied using spectroscopic techniques combined with statistical analysis. The variations of several UV-visible parameters showed that DOM predominantly consisted of aromatic and high-molecular-weight natural organic matter. Fluorescence excitation-emission matrixes (EEMs) spectroscopy-parallel factor analysis (PARAFAC) recognized four characteristic components representing humic-like substances (C1, C2 and C3) and protein-like substances (C4). Fluorescence parameters showed that the allochthonous terrestrially-derived DOM had important humic character. Fourier transform infrared (FT-IR) spectra characterized the structure of DOM, containing aromatic, aliphatic, carbohydrate and protein compounds. Principal component analysis (PCA) revealed that humic-like components explained approximately 93.8% of the total variance. Correlation coefficient matrix analysis indicated that DOC and CODMn were mainly derived from humic-like substances. The results demonstrated that the background value in the HRB during the wet season was mainly attributed to terrestrial humic-like substances. Such knowledge could assist in monitoring and managing the river with a high background value.

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Irrigation alters source-composition characteristics of groundwater dissolved organic matter in a large arid river basin, Northwestern China

Cited by 21 publications

References 60 publications

Soil and Groundwater Investigation for Sustainable Agricultural Development: A Case Study from Brunei Darussalam

Soil and Groundwater Investigation for Sustainable Agricultural Development: A Case Study from Brunei Darussalam

Mapping Soil Organic Carbon in Low-Relief Farmlands Based on Stratified Heterogeneous Relationship

Spectroscopic properties of dissolved organic matter during the wet season in the Huma River Basin, China

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