Amount Of Groundwater Recharge Research Articles

Groundwater Recharge Assessment in Central Benin: The Case of the Collines Region (West Africa)

The objective of this study was to assess groundwater recharge in the hard-rock central region of Benin so as to compare it with the water needs of the local population. To reach this objective, we applied the Water Table Fluctuation (WTF) method, which requires long-term monitoring of groundwater level fluctuations. Groundwater level time series were used in combination with other data (including time series of surface water discharge and rainfall) to estimate groundwater recharge but also to shed further light on the relationship between surface water and groundwater. The results demonstrated that the minimum inter-annual groundwater recharge amount is about 1.09 × 109 m3, which is enough to cover the basic water needs of the local population. It should be highlighted that in sub-regions where the density of the population is high, water shortage can still occur with the above estimated groundwater recharge amount. This study has also illustrated that when applying the WTF method, sites with a highly uncertain specific yield can be detected.

Groundwater recharge assessment using GIS approach in Chiang Mai basin

The geographic information system (GIS) techniques were used to groundwater recharge estimation and groundwater recharge potential map in Chiang Mai Basin. The groundwater recharge estimation use slope, rainfall and infiltration factor for calculation. Amount of groundwater recharge are 597.20 – 896.19 m3/year. The study used lithology, land use, lineaments, drainage and slope gradient as influence factors to the groundwater recharge potential. The groundwater potentiality was integrated from thematic maps and derived from the sum of the weighted factor using weight overlay method in the GIS system. Almost of the study area is classified as the high groundwater recharge potential zone. The moderate groundwater recharge potential zone is located in the western part of study area and along with the Ping River.

Effects of groundwater depth on groundwater recharge and soybean growth dynamics in Northeast China Plain.

To explore the groundwater recharge rate and soybean growth dynamics under different groundwater depths, we conducted a field experiment with four groundwater depth treatments (1 m, D1; 2 m, D2; 3 m, D3; 4 m, D4) through the groundwater simulation system in 2021 and 2022 and explored the relationships between groundwater depth and groundwater recharge, irrigation, growth dynamics of soybean plants, and yield. We used the Logistic regression model to simulate the dynamics of soybean growth indices, including plant height, leaf area index, and dry matter accumulation. The results showed that compared with D1 treatment, the amount of groundwater recharge under D2, D3, and D4 treatments decreased by 81.1%, 96.8%, 97.5% and 80.7%, 96.7%, 97.3% in the two years, respectively. The groundwater in D1 treatment could meet water needs of soybean throughout the whole growth period, except that irrigation was needed in the sowing stage. The amount of irrigation under D1 treatment was decreased by 91.7%, 93.0%, 94.2%, and 90.9%, 92.9%, 94.0% in the two years, respectively, compared with D2, D3, D4 treatments. Among the four treatments, D1 treatment took the shortest time for entering the rapid growth stage and reach the maximum growth rate, which had the highest maximum growth rate. At the mature stage of soybean, the dry matter distribution ratio of stem in D1 treatment was the highest. D1 treatment promoted the translocation of post-flowering assimilates in soybean, and its post-flowering assimilate contribution to seeds increased by 15.5%, 16.2%, 32.6% and 45.5%, 48.7%, 63.3% in the two years, respectively, compared with D2, D3, D4 treatments. D1 treatment had the highest plant height, leaf area index, and dry matter accumulation, follo-wed by D4 treatment, while D3 treatment had the lowest. Soybean yield, number of pods per plant, number of grains per plant, and 100-grain weight all decreased and then increased with increasing groundwater depth, following an order of D1>D4>D2>D3. Soybean yield was significantly positively correlated with groundwater recharge, which was positively correlated with plant height, leaf area index, and dry matter accumulation. Our results indicated that the D1 treatment with adequate groundwater recharge increased plant height, leaf area index, and dry matter accumulation, coordinated the distribution and translocation of dry matter among all plant parts in the late soybean growth period, and ultimately achieved the highest yield. When groundwater depth was deep (D4), groundwater recharge was small. In such case, the growth and development status and yield of soybean could also reach a high level if there was sufficient water supply.

Hydrogeological Characteristics of Rabia Sub-Basin Northwest, Iraq

At the procedural level and according to climate factors, the study area has an arid climate. About 12.4% of the total rainfall was observed as excess water in the study area over 30 years. The amount of groundwater recharge, measured in millimeters per year at a rate of 16.7 mm/year, was 5.37% of the total rainfall. The main direction of the flow net in the studied area was from west to east, and the water table levels ranged from 321 to 409 m above sea level. The values of a saturated thickness (b) for the Rabia sub-basin were between (73 and 127 m). Depending on the results of pumping test analysis from eight wells, the hydraulic conductivity values (K) of the Rabia sub-basin aquifer ranged between (2.91 to 5.55) m/day. The Transmissivity (T) values ranged from (235.3 to 704.2) m²/day, while the storage coefficient (Sc) values ranged between (1.16 x 10ˉ⁴to 3.98 x 10ˉ). This value indicates that the aquifer is confined.

Groundwater recharge in typical geomorphic landscapes and different land use types on the loess plateau, China

AbstractLand use significantly affects the rate and amount of groundwater recharge. To understand these patterns, stable isotope analyses (δ2H and δ18O) and hydrochemical methods were employed to study the recharge and evolution of groundwater. MixSIAR Bayesian mixture modelling and statistical regression techniques were utilized to investigate the influence of land‐use type on groundwater recharge and to calculate the contribution of various water sources to different groundwater types. These findings are important for effective management and conservation of groundwater resources. The groundwater in all studied areas displayed a magnesium bicarbonate type with notable cation exchange, and also demonstrated the dissolution of carbonate and weathering of silicate. Results from the Bayesian mixture model indicate that 69.3% of the groundwater in the Loess Plateau region was recharged by precipitation, while 86.9% of the groundwater in the loess hilly‐gully region was recharged from the surface water. Groundwater recharge was more rapid in the loess hilly‐gully region than in the Loess Plateau and was less sensitive to the land use type in the former. Dryland‐moderate coverage grassland was found to be most conducive to groundwater infiltration, whereas monotypic dryland and high‐coverage grassland inhibited infiltration to some degree. To maintain balanced soil erosion control, an increase the area of moderate‐coverage grasslands in the Loess Plateau region is recommended.

Using 222Rn temporal and spatial distributions to estimate the groundwater discharge rate and associated nutrient fluxes into high salinity lakes in Badain Jaran Desert, Northwest China.

Groundwater is the main source of water and salt recharge for to lakes in arid regions. Quantifying the groundwater discharge and its nutrient input is important in the evolution of lake environments in the Badain Jaran Desert (BJD), Northwest China. In this study, ten BJD lakes were sampled for 222Rn in April and September 2021, and the 222Rn mass balance model was used to quantify the groundwater discharge rates and derived nutrient fluxes to these lakes. The results showed that the 222Rn activity and the groundwater recharge rate of lake water both present a positively correlated with lake water depth. The hot points of high 222Rn activity in the lake water were consistent with the locations of groundwater discharge areas. According to the 222Rn temporal and spatial distributions, the mean groundwater recharge rates for the ten lakes in April and September were 5.4 ± 0.6 and 7.7 ± 1 mm/d, respectively, and the annual mean groundwater discharge rates varied between 1.1 ± 0.2 and 14.6 ± 1.6 mm/d, with a mean of 7 ± 0.9 mm/d. Given that all the perennial lakes in the BJD have the same groundwater recharge rate as the mean recharge rate of the ten studied lakes, the annual mean groundwater recharge amount received by the lakes in the entire BJD is (5.6 ± 0.7) × 107 m3/a. According to the groundwater recharge amount, the inputs of dissolved inorganic nitrogen, dissolved inorganic phosphorus, dissolved inorganic silicon, total nitrogen, and total phosphorus to the BJD lakes from groundwater were (4.7 ± 0.6) × 105, (3.8 ± 0.5) × 104, (7.9 ± 1) × 105, (7.2 ± 0.9) × 105, (2.5 ± 0.3) × 104 kg/a, respectively. This study provides a reference for quantifying of groundwater discharge rates into salt lakes in other arid regions.

Estimation of Groundwater Recharge in Kumamoto Area, Japan in 2016 by Mapping Land Cover Using GIS Data and SPOT 6/7 Satellite Images

Agricultural fields, grasslands, and forests are very important areas for groundwater recharge. However, these types of land cover in the Kumamoto area, Japan, were damaged by the Kumamoto earthquake and heavy rains in 2016. In this region, where groundwater provides almost 100% of the domestic water supply for a population of about 1 million, quantitative evaluation of changes in groundwater recharge due to land cover changes induced by natural disasters is important for the sustainable use of groundwater in the future. The objective of this study was to create a land cover map and estimate the groundwater recharge in 2016. Geographic information system (GIS) data and SPOT 6/7 satellite images were used to classify the Kumamoto area into nine categories. The maximum likelihood classifier of supervised classification was applied in ENVI 5.6. Eventually, the map was cleaned up with a 21 × 21 kernel filter, which is larger than the common size of 3 × 3. The created land cover map showed good performance of the larger filter size and sufficient validity, with overall accuracy of 91.7% and a kappa coefficient of 0.88. The estimated total groundwater recharge amount reached 757.56 million m3. However, if areas of paddy field, grassland, and forest had not been reduced due to the natural disasters, it is estimated that the total groundwater recharge amount would have been 759.86 million m3, meaning a decrease of 2.30 million m3 in total. The decrease of 2.13 million m3 in the paddy fields is temporary, because the paddy fields and irrigation channels have been improved and the recharge amount will recover. On the other hand, since the topsoil on the landslide scars will not recover easily in natural conditions, it is expected to take at least 100 years for the groundwater recharge to return to its original state. The recharge amount was estimated to decrease by 0.17 million m3 due to landslides. This amount is quite small compared to the total recharge amount. However, since the reduced recharge amount accounts for the annual water consumption for 1362 people, and 12.1% of the recharge decrease of 1.41 million m3 each year to fiscal year 2024 is expected by municipalities, we conclude that efforts should be made to compensate for the reduced amount due to the disasters.

Groundwater Recharge Estimation Using Water Budget and Water Table Fluctuation Method in the Jakarta Groundwater Basin

The Jakarta Groundwater Basin is one of the groundwater basins with the highest development, economic, and business activities in Indonesia. Groundwater damage has become a major growing issue in the Jakarta groundwater basin. Intensive development has led to the overuse of groundwater in this basin. Efforts are needed to manage, protect, and conserve groundwater in this basin to support the development and economic activities sustainably. Jakarta, as the capital city of Indonesia, is located in the groundwater basin. Groundwater sustainability is determined by the amount of groundwater recharge in those basins, so knowledge of groundwater recharge is important. Groundwater is an important part of a hydrological cycle, and groundwater recharge ensures groundwater sustainability in some areas. This study aims to estimate groundwater recharge in the Jakarta groundwater basin using the water budget and water table fluctuation method. The water budget method used is Thornthwaite, Dingman, and Edijatno-Michel. The Water Table Fluctuation methods used are Dellin and Delottier. Analysis of the amount of groundwater recharge estimation is carried out using the ESPERE Version 2 software. Output data is then further analyzed using descriptive and inferential statistical approaches to determine whether there is a difference in groundwater recharge amount based on the water budget and water table fluctuation. The results show that groundwater recharge based on water budget methods is 209–885 mm/year. The estimation of the largest amount of recharge was obtained using the Edijatno-Michel approach. The smallest amount of recharge was estimated using the Dingman-Hamon method. The average recharge of groundwater in Tanjung Priok is 305 mm/year, Kemayoran is 209 mm/year, and Bogor is 885 mm/year. Only 8–15 % of the annual rainfall that converted into groundwater recharge at the study area. Based on the analysis using the water table fluctuation method, groundwater recharge in this basin has a value of 240 mm/year. The variation of the amount of groundwater recharge is caused by the pros and cons of each method. Apart from that, geological factors, land use/land cover factors, and climatic variations in this basin can affect the research results. By considering the amount of groundwater recharge, groundwater management in the Jakarta groundwater basin needs to be carried out for harmonious development and groundwater conservation.

Estimate the amount of ground water recharge in hard formations, case study: Mashhad, Iran

Discovering underground water resources remains a vital and inevitable method for optimizing consumption and also maintaining existing resources, not only in the world in general but also in places like Mashhad in particular which faces increasing need for water. Therefore, the present paper aims to identify potential locations for developing karst formations by calculating infiltration percentage of formations. APLIS method, based on GIS analysis, was used to do analytical hierarchical process. Experimental variables assumed to affect infiltration and storage of rain water include altitude, slope, lithology, soil, preferred infiltration sites, and fracture. Information layers for all the above variables were created, and their proportional weight and combinations were specified. Finally, recharge rates of aquifers were calculated and presented in form of maps which also showed the extent of karst formations for various regions. Results let us see that location-specific average of recharge rate for Mashhad formations is 46% in a span of 15–96%. Any increase in infiltration percentage means more karstification in lithology of formations. The ability to map the water resources management and determine the water balance components, including estimating the amount of groundwater resource penetration, and the spatial identification of karst sources compared to other existing methods, is higher. Therefore, the map possesses predictive strength for potential regions of development of karstification. Given the recharge rates for various sites and specified karstic regions, we can anticipate a more efficient management with regard to maintaining water resources and managing consumption. Such management would be more economical and less time-consuming.

Specific Types and Adaptability Evaluation of Managed Aquifer Recharge for Irrigation in the North China Plain

The North China Plain is the main grain production district in China, with a large area of well irrigation resulting in a large groundwater depression cone. In the 1970s and 1980s, small-scale managed aquifer recharge (MAR) projects were developed to recharge shallow groundwater, which played an important role in ensuring stable and high crop yields. MAR projects are divided into 10 types based on local water conservancy characteristics. The combined use of well–canal irrigation has been widespread in the Yellow River Irrigation District of Shandong Province for nearly 40 years, where canals play multiple roles of transporting and storing Yellow River water or local surface water, recharging groundwater and providing canal irrigation. Moreover, the newly developed open channel–underground perforated pipe–shaft–water saving irrigation system can further expand the scope and amount of groundwater recharge and prevent system clogging through three measures. Finally, an adaptability zoning evaluation system of water spreading has been established in Liaocheng City of Shandong Province based on the following five factors: groundwater depth, thickness of fine sand, specific yield, irrigation return flow, and groundwater extraction intensity. The results show that MAR is more adaptable to the western region than to the eastern and central regions.

Application of a loose coupling model for assessing the impact of land-cover changes on groundwater recharge in the Jinan spring area, China

The Jinan spring area is one of the fastest developing and most water-stressed regions of China. Because of rapid urban expansion, groundwater recharge has been greatly influenced by land-use/cover change (LUCC). To gain an improved understanding of how the groundwater recharge affected by LUCC from 1960 to 2015, normal years, including 1985, 2000, and 2015, were selected using the Pearson-III distribution. Land-cover types of the normal years were classified using Thematic Mapper images. A loose coupling of an urban expansion model and a hydrological model was used to quantify the impact of LUCC on groundwater recharge. The results showed that land converted to built-up land was mainly mixed forest and arable land. The proportion of land-use types that remained unchanged was generally less than 50%, except for built-up land. In 2030, the area of built-up land will continue to increase, while the area of arable land and mixed forest will decrease correspondingly. The mean annual groundwater recharge was 88.32, 87.95, 73.31, and 76.17 mm for 1985, 2000, 2015, and 2030, respectively, which accounts for 14.01, 12.90, 12.20, and 11.98%, respectively, of the annual precipitation. In the water balance of the study area, only a small fraction (11.98–14.01%) of precipitation recharges the groundwater, and the remainder is lost by evapotranspiration (81.41–82.05%) and to a lesser extent by surface runoff (4.15–6.83%). The amount of groundwater recharge is mainly controlled by precipitation and potential evapotranspiration. Recharge is negatively correlated with the drought index. The ratio of groundwater recharge to precipitation decreased at a rate of − 0.06% from 1985 to 2015. The recharge/precipitation ratio is expected to decrease by a further 0.22% by 2030. The decrease in the ratio is primarily the result of an increase in built-up land areas, and a decrease in mixed forest and arable land areas.

Groundwater Recharge Estimation Using WetSpass Modeling in Upper Bilate Catchment, Southern Ethiopia

The study area, upper Bilate catchment, is strongly dependent on groundwater like other rural catchments in the country. The main objective of this work is to quantify the amount of groundwater recharge in upper Bilate catchment. Recharge was estimated using physically based distributed recharge model called WetSpass. As input to the model precipitation, potential evapotranspiration, temperature and wind speed were estimated using data collected from meteorological stations located within the catchment and nearby areas. The physical environmental data including land use, soil type, and groundwater depth were collected from field and existing maps. Slope and topography map were generated from Shuttle Radar Topographic Mission elevation data. Using the model the mean annual recharge of the catchment was found to be 9.4 % of the precipitation whereas the direct runoff was found to be 20 % of the precipitation. The study area is characterized by lower groundwater recharge relative to surface runoff due to the effect of impermeable soils, morphology of the land and land use/land cover of the study area. The western and northern parts of the area are identified as recharging zone and the central and southern part are discharge zone. The groundwater recharge zoning map was validated using base flow separation method and also compared with previous groundwater recharge works of the study area. This study revealed that the groundwater recharge estimation using WetSpass model is reasonable and useful for quantification of annual groundwater recharge with spatial and seasonal variation and also capable in the identification of groundwater recharge zones in the area under study. Keywords: Runoff; Evapotranspiration; Groundwater; WetSpass; Bilate catchment; Ethiopia.

Nghiên cứu khả năng bổ cập nước dưới đất từ nước mưa trên địa bàn thị xã Dĩ An, tỉnh Bình Dương

The study was aimed at investigating groundwater exploitation situation and estimating groundwater recharge in the period of 2013-2017 in Di An town, Binh Duong province. The main methods used in this study include primary and secondary data collection, field survey, interview, data analysis and calculation of the groundwater recharge from precipitation by Bindeman (1963). The results showed that the currently groundwater exploitation was equal to 84,855.38 m3/day, which was 1.21 times higher than the groundwater recharge. In which, the results reveal that the lowest amount of groundwater recharge was in 2013 and maximum in 2017. In the period from 2013 to 2017, there was a significant reduction of groundwater sources with the average value of 12,485 m3/day. In addition, the result also showed that the infiltration flow and total precipitation ratio has significantly decreasing trend in Di An town. Therefore, in the long term, it is needed the solutions of relevant management aiming to reduce the extreme groundwater exploitation.

Numerical model on the application of sand columns in recharge reservoir

Excessive groundwater extraction may lead to groundwater depletion and causes land subsidence, sea water intrusion, and groundwater quality degradation. Regarding these problems, it is required to study the sand column placed at the base of the reservoir as an alternative solution to increase the amount of water recharged into the aquifer. In this study, numerical modelling was used to explore the potential of the sand column to increase the volume of water recharged into the aquifer. The numerical modelling was then compared with a corresponding analytical solution from the previous related study. There has never been any research conducting numerical model to determine the amount of groundwater recharge through sand column placed in the recharge reservoir. The results showed a good agreement between the analytical solution and the numerical modelling, indicated by the coefficient of determination (R2) of 0.997, even though the numerical modelling results always slightly underestimate the results of the analytical solution. A coefficient factor (Cf) which is obtained from multiple linear regression analysis is included in the analytical solution to approach the results of numerical model. Results of the research show that there is an increase in the groundwater recharge rate in each of water level increment in the reservoir (Hw), for all different number of sand column's (Nc) scenarios. However, there is a decrease of groundwater recharge into the aquifer in relation to the increase of semi impermeable thickness below the reservoir (z). The results also show that the increasing number of sand column increased the groundwater recharge at all different scenario of water level above reservoir (Hw).

Statistical analysis of groundwater level variability across KwaZulu-Natal Province, South Africa

This paper reports the results of analysis of groundwater level changes and its relationship with rainfall across KwaZulu-Natal (KZN) Province of South Africa. The study used 32 groundwater level monitoring sites and 15 selected rainfall stations located across the province. The Mann–Kendall test was used to explore the presence of trends in groundwater level and rainfall data at 10% significance level. The slope of the trend was estimated using Sen’s slope estimator. To understand the cause–effect relationship between rainfall and groundwater level changes, the cumulative rainfall departure (CRD) was computed at the respective rainfall stations influencing the groundwater monitoring site. The results show variable but a general decreasing trend. The variability of the groundwater level trends was analyzed based on water management areas (WMA): (1) both groundwater level and rainfall have a decreasing trend for the entire record period in the Usuthu–Mhlathuzi WMA. Groundwater level around Tembe and Mbazwana areas declined by 0.7 and 2.7 m, respectively. Areas around Richards Bay experienced a reduction between 0.7 and 6.3 m from 2004 to 2015. During the same period, the rainfall within the WMA decreased by 26, 6 and 18% from the mean around Tembe, Mbazwana and Richards Bay, respectively; (2) The northern sector of the uThukela WMA, around Dundee and Newcastle exhibited groundwater level increase by about 1.5 m between 2004 and 2010 but later declined by 1.2 m from 2014 to 2015. The rainfall increased by 8% from 2004 to 2010, and decreased by 22% at the end of 2015. The central part of the uThukela WMA, around Tugela Ferry and Greytown, experienced groundwater level and rainfall reductions of 3.2 m and 15%, respectively, during the entire record period; (3) Within the Mvoti–uMzimkulu WMA in the vicinity of Maphumulo, groundwater level decline by 11 m from 2005 to 2011. However, it recovered by 8 m between 2012 and 2013 following an increase in rainfall by 21%. Areas around Durban exhibited increasing trend from 2005 to 2008 in response to an increasing rainfall amount by about 13% for the same period. The reduction in rainfall by 21% from 2012 to 2015 resulted in a decline of groundwater level by 0.4 m. The steady decline in groundwater levels across the province appears to be a response to prolonged reduction in rainfall, which consequently reduced the amount of groundwater recharge reaching the aquifer. The general response of groundwater levels to changes in rainfall across the province has a lag time from 1 to 4 months.

Chloride mass balance for estimation of groundwater recharge in a semi-arid catchment of northern Ethiopia

Limited scientific information has been published on the application of tools in the geographic information system (GIS) environment to understand factors that influence groundwater recharge. The objectives of the research reported here were to understand the spatial variability of factors that influence groundwater recharge using GIS, and to estimate the amount of groundwater recharge and its spatial distribution in Illala catchment, northern Ethiopia. Reconnaissance surveys coupled with satellite imagery were used to collect data related to water, dry-deposition and hydrogeology from the study catchment. The data analysis involved geo-statistics. The chloride mass balance (CMB) method was applied to estimate mean groundwater recharge. The study catchment is distinguished by a semi-arid climate (average aridity index value of 0.35) and it is dominated by limestone-shale-marl intercalation. Mean chloride concentration in rainwater ranges from 0.4 to 1.28 mg/L, while values in dry deposition vary from 1.78 to 1.82 mg/m2. Groundwater and runoff chloride concentration ranges are 1.4–31.96 mg/L and 0.60–1.56 mg/L, respectively. Mean annual groundwater recharge estimated by the CMB method varies from 6.1 to 288.3 mm, and the mean groundwater recharge represents 11.7% of the 548 mm mean annual rainfall. The CMB-derived groundwater recharge estimation showed a nearly comparable value with the recharge estimated by other approaches. More effort should be made to boost groundwater recharge using various recharge enhancing techniques such as constructing artificial recharge wells and water harvesting structures, targeting areas with the lowest recharge.

Isotopic evidence of allogenic groundwater recharge in the Northern Ordos Basin

Large amount of groundwater recharge runs in opposite direction to the scarce surface water resources in the Northern Ordos Basin, and there are two controversial viewpoints. Hydrogen and oxygen stable isotopes are employed to identify the groundwater origin. Results show that surface water and soil water are mainly recharged by groundwater instead of local precipitation. The groundwater is not recharged by local rainfall, but is inferred to have originated from the Tibetan Plateau, based on isotopic (D, 18O, 3He/4He), hydraulics, geophysical, and geological evidence. It is consistent with the viewpoint of external groundwater recharging in North China.

Quantifying indirect groundwater-mediated effects of urbanization on agroecosystem productivity using MODFLOW-AgroIBIS (MAGI), a complete critical zone model

Sustainably accommodating future population growth and meeting global food requirements requires understanding feedbacks between ecosystems and belowground hydrological processes. Here, we introduce MODFLOW-AgroIBIS (MAGI), a new dynamic ecosystem model including groundwater flow, and use MAGI to explore the indirect impacts of land use change (urbanization) on landscape-scale agroecosystem productivity (corn yield). We quantify the degree to which urbanization can indirectly impact yield in surrounding areas by changing the amount of groundwater recharge locally and the water table dynamics at landscape scales. We find that urbanization can cause increases or decreases in yield elsewhere, with changes up to approximately+/− 40% under the conditions simulated due entirely to altered groundwater-land surface interactions. Our results indicate that land use change in upland areas has the largest impact on water table depth over the landscape. However, there is a spatial mismatch between areas with the largest water table response to urbanization elsewhere (upland areas) and locations with the strongest yield response to urbanization elsewhere (midslope areas). This mismatch arises from differences in baseline water table depth prior to urbanization. Yield response to urbanization in lowland areas is relatively localized despite large changes to the vertical water balance due to stabilizing ecohydrological feedbacks between root water uptake and lateral groundwater flow. These results demonstrate that hydrological impacts of land use change can propagate through subsurface flow to indirectly impact surrounding ecosystems, and these subsurface connections should be considered when planning land use at a landscape scale to avoid negative outcomes associated with land use change.

Climate Change and Its Influence on the Karst Groundwater Recharge in the Jinci Spring Region, Northern China

Due to climate change and human activities over the last fifty years, the spring flow volume of karst groundwater has sharply diminished in China. Climate change is one of the critical factors that initiates a series of karst hydrogeologic and water ecological environmental problems, because the precipitation shows a decreasing trend while the temperature shows an increasing trend. The Jinci Spring is one of the largest, most famous springs in northern China. This study employed data from the Taiyuan Meteorological Station and ten precipitation stations in and around the Jinci Spring region as well as the runoff data gathered from two hydrological monitoring stations during 1960–2012. The sliding average method and the Mann-Kendall test were used to analyze the variation tendency of precipitation, temperature, and land evaporation in this area. Finally, the following were calculated: the varying pattern of the karst groundwater recharge amount and the response of the recharge amount to precipitation, land evaporation, and river runoff by quantitative analysis. The results indicated that the precipitation and land evaporation amount decreased at first and then subsequently increased. Likewise, the variation trend of the karst groundwater recharge amount in the spring region was roughly consistent with the precipitation variation pattern. In contrast, the temperature displayed an increasing trend. The climate change resulted in a reduction of the karst groundwater recharge amount, and it had the greatest influence in the 1990s, which caused the karst groundwater recharge amount to decrease 26.75 mm as compared to that of the 1960s (about 39.68% lower than that of the 1960s). The Jinci Spring had zero flow during this period. The reduction in precipitation was one of main factors that caused the cutoff of the Jinci Spring.

Effect of the climate change on groundwater recharging in Bangga watershed, Central Sulawesi, Indonesia

This study was conducted to determine the effect of the climate change to the level of groundwater recharging. This research was conducted on the watershed of Bangga by using the Soil Water Balance of MockWyn-UB model. Input data compose of evapotranspiration, monthly rainfall, watershed area, canopy interception, heavy rain factor and the influence of climate change factors (rainfall and temperature). The conclusion of this study indicates that there is a decreasing trend in annual groundwater recharge observed from 1995 to 2011. The amount of groundwater recharge varied linearly with monthly rainfall and between 3% to 25% of the rainfall. This result implies that rain contributed more than groundwater recharge to runoff and evaporation and the groundwater recharge and Bangga River discharge depends largely on the rainfall. In order to increase the groundwater recharge in the study area, reforestation programmes should be intensified.