Impacts of land use/land cover patterns on groundwater quality in the Guanzhong Basin of northwest China

Xu, Fei; Li, Peiyue; Chen, Wenqian; He, Song; Li, Fan; Mu, Dawei; Elumalai, Vetrimurugan

doi:10.1080/10106049.2022.2115153

Cited by 27 publications

(8 citation statements)

References 52 publications

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“…Land Cover Change and Its Impact on Groundwater Resources: Findings and Recommendations DOI: http://dx.doi.org/10.5772/intechopen.110311 Xu et al [146] used statistical models and a curved streamline searchlight-shaped model to explore the geographical distribution patterns of groundwater hydrochemical parameters in the Guanzhong Basin and evaluate the correlations between the groundwater parameters and LULC (CS-SLM). The findings demonstrated that the north of the plain had greater groundwater parameter concentrations than the south.…”

Section: Impact On Quality and Quantitymentioning

confidence: 99%

Land Cover Change and Its Impact on Groundwater Resources: Findings and Recommendations

Yadav¹

2023

Groundwater - New Advances and Challenges

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Globally, the climate is becoming drier and wetter because of climate change. Variations in land use and land cover (LULC) brought on by humans have impacted hydrological elements, including recharge and runoff, throughout the past few decades. Agriculture, forestry, urbanization, recreational activities, and industrialization are all land uses that impact groundwater resources. For example, anthropogenic activities have an increased impact on impervious surfaces and storm drains, which divert precipitation away from highways. Similarly, groundwater resources are negatively impacted by the increased urbanization of areas in two fundamental ways: first, by blocking up aquifers with concrete, which prevents natural recharge; second, by polluting groundwater through drainage leaks and industrial waste and effluents. Therefore, the long-term temporal and seasonal variations in LULC change significantly impact groundwater flow dynamics. Numerous factors influence LULC change, including hard-to-follow social and biophysical processes, that ultimately lead to a complex and dynamic system. As a result, an evaluation of the effects of LULC changes on recharge is required to manage groundwater resources to be sustainable.

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Section: Impact On Quality and Quantitymentioning

confidence: 99%

Land Cover Change and Its Impact on Groundwater Resources: Findings and Recommendations

Yadav¹

2023

Groundwater - New Advances and Challenges

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“…In order to study the impact of groundwater depth on vegetation coverage, this study used pixels as the calculation unit to calculate the correlation coefficients of vegetation coverage changes and groundwater depth changes between 2000 and 2020. The calculation Formula (6) is as follows [63][64][65][66]:…”

Section: Correlation Between Groundwater Depth and Vegetation Coveragementioning

confidence: 99%

Effects of Groundwater Depth on Vegetation Coverage in the Ulan Buh Desert in a Recent 20-Year Period

Lu,

Wu,

et al. 2023

Water

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As a typical desert in the Inner Mongolia Autonomous Region, the Ulan Buh Desert has a dry climate and scarce precipitation all year round. Groundwater has become the main factor limiting the growth of vegetation in this region. It is of great significance to study the influence of groundwater depth on the spatial distribution pattern of vegetation in this region. Based on the PIE-Engine platform and using long-term time-series Landsat data, this paper analyzed the spatial–temporal distribution characteristics and trends in vegetation coverage in the Ulan Buh Desert in the last 20 years using a pixel dichotomy model and the image difference method. The Kriging interpolation method was used to interpolate the groundwater depth data from 106 monitoring wells in the Ulan Buh Desert over the past 20 years, and the spatial distribution characteristics of groundwater depth in the Ulan Buh Desert were analyzed. Finally, the correlation coefficient between changes in vegetation coverage and changes in groundwater depth was calculated. The results showed the following: (1) The vegetation coverage in the Ulan Buh Desert was higher in the periphery and lower in the center of the desert. The overall vegetation level showed an increasing trend year by year; the growth rate was 4.73%/10 years, and the overall vegetation cover showed an improving trend. (2) The overall groundwater depth in the Ulan Buh Desert was deep in the southwest and shallow in the northeast. In the past 20 years, the groundwater depth in the Ulan Buh area has become shallower, and the ecological condition has gradually improved. (3) On the whole, the vegetation coverage varied with the groundwater depth, and the shallower the groundwater depth, the greater the vegetation coverage. When the groundwater depth increased to more than 4 m, the change in the groundwater depth had a significant effect on the vegetation coverage. However, when the groundwater depth was greater than 6 m, the change in the groundwater depth had no significant effect on the change in vegetation coverage.

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“…The PLUS model is better than the previous models in terms of its historical land use change processes and landscape similarity as represented by landscape indicators and is more flexible for each type of LULC type [24,28]. The PLUS model achieves good simulation results in diverse areas [29][30][31][32]. However, its application in large-scale simulations of typical arid zones is limited.…”

Section: Introductionmentioning

confidence: 99%

Spatial Simulation and Prediction of Land Use/Land Cover in the Transnational Ili-Balkhash Basin

et al. 2023

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Exploring the future trends of land use/land cover (LULC) changes is significant for the sustainable development of a region. The simulation and prediction of LULC in a large-scale basin in an arid zone can help the future land management planning and rational allocation of resources in this ecologically fragile region. Using the whole Ili-Balkhash Basin as the study area, the patch-generating land use simulation (PLUS) model and a combination of PLUS and Markov predictions (PLUS–Markov) were used to simulate and predict land use in 2020 based on the assessment of the accuracy of LULC classification in the global dataset. The accuracy of simulations and predictions using the model were measured for LULC data covering different time periods. Model settings with better simulation results were selected for simulating and predicting possible future land use conditions in the basin. The future predictions for 2025 and 2030, which are based on historical land change characteristics, indicate that the overall future spatial pattern of LULC in the basin remains relatively stable in general without the influence of other external factors. Over the time scale of the future five years, the expansion of croplands and barren areas in the basin primarily stems from the loss of grasslands. Approximately 48% of the converted grassland areas are transformed into croplands, while around 40% are converted into barren areas. In the longer time scale of the future decade, the conversion of grasslands to croplands in the basin is also evident. However, the expansion phenomenon of urban and built-up lands at the expense of croplands is more significant, with approximately 774.2 km2 of croplands developing into urban and built-up lands. This work provides an effective new approach for simulating and predicting LULC in data-deficient basins at a large scale in arid regions, thereby establishing a foundation for future research on the impact of human activities on basin hydrology and related studies.

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Impacts of land use/land cover patterns on groundwater quality in the Guanzhong Basin of northwest China

Cited by 27 publications

References 52 publications

Land Cover Change and Its Impact on Groundwater Resources: Findings and Recommendations

Land Cover Change and Its Impact on Groundwater Resources: Findings and Recommendations

Effects of Groundwater Depth on Vegetation Coverage in the Ulan Buh Desert in a Recent 20-Year Period

Spatial Simulation and Prediction of Land Use/Land Cover in the Transnational Ili-Balkhash Basin

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