Abstract:The physico-chemical analysis of groundwater quality plays a significant role to manage the water resources for drinking as well as irrigation in the sub-humid and semi-arid agro-climatic areas. In this study, the hydrogeochemical analyses and spatial mapping of groundwater quality in the Jakham River Basin located in the southern part of Rajasthan were investigated.The groundwater quality samples were collected from 76 wells marked on the grid map of 5×5 km2 area.A spatial distribution in sampling location in… Show more
“…Hence, the flow peaks brought by precipitation events arrive at the springs at different times, and the superposition effect of spring flow peaks and troughs leads to an overall small fluctuation of spring flow. Compared with the Jakham River basin 45 , Niangziguan karst area 2 , Heilongdong spring basin 46 , and other areas, the catchment area of the karst water in the study area is not large; therefore, the first reason has greater plausibility.…”
Karst groundwater plays important roles as a water supply and in sustaining the biodiversity and ecosystems of the eastern Qinghai–Xizang Plateau. Owing to the stratigraphic structure, high tectonic activity, and changeable climate of the region, the recharge source, runoff path, and dynamic characteristics of karst groundwater are highly complex, which poses challenges with regard to the protection of water resources and ecology. This study identified the origin and flow processes of karst groundwater in the glacial lake area of the Jinsha River fault zone using satellite remote sensing, hydrochemical and isotope analyses, and flow measurements. Results showed that active faults control the distribution of glacial lakes and the recharge, runoff, and discharge of karst groundwater. Glacial lake water is an important source of karst groundwater in the Jinsha River fault zone area. Specifically, glacial lake water continuously recharges the karst system via faults, fractures, and karst conduits, thereby maintaining the relative stability of karst spring flows. Through hierarchical cluster analysis, two main runoff conduits of karst water were distinguished: one along the Dingqu Fault and the other along the Eastern Zhairulong Fault, which together account for 59% of the total regional karst groundwater flow. The elevation difference between the recharge and discharge areas of the main karst springs is > 1000 m. Groundwater runoff is fast and residence time in the aquifer is short. The dissolution of calcite and dolomite mainly occurs during transit through the groundwater system, and cation exchange is weak. Therefore, the regional karst springs are predominantly HCO3−Ca·Mg type. To protect regional karst water resources and ecology, the monitoring and protection of glacial lakes should be strengthened.
“…Hence, the flow peaks brought by precipitation events arrive at the springs at different times, and the superposition effect of spring flow peaks and troughs leads to an overall small fluctuation of spring flow. Compared with the Jakham River basin 45 , Niangziguan karst area 2 , Heilongdong spring basin 46 , and other areas, the catchment area of the karst water in the study area is not large; therefore, the first reason has greater plausibility.…”
Karst groundwater plays important roles as a water supply and in sustaining the biodiversity and ecosystems of the eastern Qinghai–Xizang Plateau. Owing to the stratigraphic structure, high tectonic activity, and changeable climate of the region, the recharge source, runoff path, and dynamic characteristics of karst groundwater are highly complex, which poses challenges with regard to the protection of water resources and ecology. This study identified the origin and flow processes of karst groundwater in the glacial lake area of the Jinsha River fault zone using satellite remote sensing, hydrochemical and isotope analyses, and flow measurements. Results showed that active faults control the distribution of glacial lakes and the recharge, runoff, and discharge of karst groundwater. Glacial lake water is an important source of karst groundwater in the Jinsha River fault zone area. Specifically, glacial lake water continuously recharges the karst system via faults, fractures, and karst conduits, thereby maintaining the relative stability of karst spring flows. Through hierarchical cluster analysis, two main runoff conduits of karst water were distinguished: one along the Dingqu Fault and the other along the Eastern Zhairulong Fault, which together account for 59% of the total regional karst groundwater flow. The elevation difference between the recharge and discharge areas of the main karst springs is > 1000 m. Groundwater runoff is fast and residence time in the aquifer is short. The dissolution of calcite and dolomite mainly occurs during transit through the groundwater system, and cation exchange is weak. Therefore, the regional karst springs are predominantly HCO3−Ca·Mg type. To protect regional karst water resources and ecology, the monitoring and protection of glacial lakes should be strengthened.
“…Geographical Extent: The study region encompasses the drainage area of the Kukadi River and its tributaries. Combination of the satellite imagery data and hydrogeological spatial analysis in geospatial environment is made easy to recognize and differentiate the drainage region (Gautam et al, 2021). According to Kang (2008), a flow direction raster shows the direction water which is flow out from each cell of a filled elevation raster.…”
This study offers an innovative approach to enhance the precision and accuracy of the delineation of the Kukadi River Basin by integrating cutting-edge geospatial technologies, particularly Remote Sensing (RS) and Geographic Information System (GIS) methods. Due to its varied topography and land cover, the Kukadi River Basin play a crucial hydrological entity in the area which presents difficulties for standard delineation techniques. High-resolution satellite imagery is used in the study to provide exact information on land cover in the Kukadi River Basin. The work aims to extract comprehensive land cover data by utilizing spectral analysis and image classification techniques, which are part of RS. In order to improve the delineation of the Basin borders, this data is seamlessly integrated with GIS spatial analytic tools, which also incorporate digital elevation models, slope, and other terrain metrics. The research findings demonstrate the possibility of combining RS and GIS technology to overcome the challenges associated with varying terrains, hence furthering the improvement of Basin delineation approaches. The results provide a useful and dependable paradigm for defining river Basin in a variety of geographical contexts, which is important for water resource management, Environmental Conservation, Land use planning, decision-makers, researchers, and practitioners working on hydrological studies.
“…The tendency of occurrence of variation of groundwater level over time was monitored by (Gautam et al, 2022) at Jakham river basin of south Rajasthan in India, where statistical approach provided to monitor the water level during 2009-2019, it was concluded that groundwater level was found 15% decrease in trend during pre-Monsoon and very low percentage decrease was observed during post-Monsoon. Similarly ITA was applied by (Swain et al, 2022) in Jharkhand (India) to observe the uctuations of groundwater level, where it was concluded that ITA has precise tendency to generate the trend in shorter time series without restrictive assumptions, it evaluated the trends signi cantly at increasing rate for 17 sites during pre-Monsoon, and increasing trend at 14 sites during post-Monsoon period.…”
Section: Trend Of Groundwater Level Slope By Linear Regression Analysismentioning
Groundwater plays a pivotal role in the economy of the country, in Pakistan it is the second largest source which is used for irrigation, drinking, and domestic uses. Its variation requires to be monitored for promising groundwater level (GWL), it has been observed that GWL is declining, and the tendency could be monitored by regression and Innovative Trend Analysis (ITA) over the 2006 to 2019 period at the Tehsil level. ITA and Linear Regression provide a convalescent approach to display increasing, decreasing or no trend in time series. Therefore, we have executed a study in Rechna doab to an investigation where 134 borehole data were spatially segregated and their mean values tehsil wise in Rechna doab were utilized during the 2006–2019 period at pre-monsoon (June) and post-monsoon (October). It was concluded that during the Pre-Monsoon season, two tehsils (Faisalabad and Shakarghar) showed an improving (increase downward) water level trend while 17 tehsils showed a decrease (upward) in groundwater level trend and 9 tehsils showed no trend. Similarly, during the Post-Monsoon season, 2 tehsils (i.e., Nankana and Shakarghar) showed increasing while 14 tehsils showed decreasing, and 12 tehsils indicated no trend. This study provided a secure, simple, and detailed analysis concerning the increasing or decreasing trend over a long period. Zones in terms of groundwater level were established to indicate the low, moderate, and high-water levels at the tehsil wise. It is therefore recommended that Innovative Trend Analysis could be utilized to predict the climate change trend on natural resources over time.
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