The optimal allocation of water resources oriented to prioritizing ecological needs using multiple schemes in the Shaying River Basin (Henan Section), China

During dry seasons or years, the runoff processes from small rivers influence the safety of riverside groundwater source fields. Water source exploitation has a considerable effect on river runoff. In this study, the riverside source field of the Liuan River in the Linquan County, Anhui Province, was analyzed. The effect of mining on the ecological flow of the river under river runoff conditions in different typical dry years was quantified. This was undertaken using numerical simulations of the groundwater flow to provide guidance for the establishment of mining schemes for riverside source fields. In 95% of typical dry years, the water supply of small rivers is insufficient. The improved 7Q10 method used to calculate the ecological flow in different dry years revealed that mining water had little effect on the ecological flow. However, during the pumping process, the groundwater level of the water source area decreased greatly. The establishment of riverside source fields can aid in reducing excessive development and use of deep groundwater. The planning, construction, and implementation of the “Divert water from the Yangtze River to the Huaihe River” project can effectively reduce the economic losses that have occurred due to severe drought in the local area.

Section: Calculation Methods Of Minimum Ecological Water Demandmentioning

confidence: 99%

Mining Scheme for Small Rivers near Water Sources—A Case Study of Liuan River in Linquan County, China

Kang

Tao

et al. 2022

“…In the reverse hydrogeochemical simulation, the selection of appropriate simulation paths and possible mineral phases is the key to the establishment of the model, so as to determine the main SI and the transformation amount of each mineral phase on the simulation path, so as to study the hydrogeochemical formation [44]. According to the hydrogeological conditions prevailing across the study area [45][46][47], calcite (CaCO 3 ), dolomite Through [γ(Ca 2+ +Mg 2+ )-γ(SO4 2− +HCO3 − )]/ γ(Na + -Cl − ) ratio analysis of the cation exchange, adsorption is found to occur; γ(Na + -Cl − ) represents the change of Na + content caused by other sodium-bearing minerals except halite dissolution. [γ(Ca 2+ +Mg 2+ )-γ(SO4 2− +HCO3 − )] represents the changes of Ca 2+ and Mg 2+ contents caused by other substances other than gypsum, dolomite, and calcite.…”

Section: Reverse Hydrogeochemical Simulationmentioning

confidence: 99%

Section: Reverse Hydrogeochemical Simulationmentioning

confidence: 99%

Hydrochemical Characteristics and Hydrogeochemical Simulation Research of Groundwater in the Guohe River Basin (Henan Section)

Zhou

et al. 2022

With the implementation of the policy of ecological protection and high-quality development of the Yellow River Basin, the Guohe River Basin, which is close to the middle reaches of the Yellow River Basin, is also an important part of future development. Mathematical statistics, the Piper diagram, ion proportion coefficient method, Gibbs diagram and reverse hydrogeochemical simulation are used to analyze the chemical characteristics and evolution of groundwater in the Guohe River Basin (Henan Section). The dominant ions in the study area are HCO3− and Na+, and the three-layer aquifer has obvious zoning characteristics. The results show that the chemical types of shallow groundwater in this area are HCO3−Na • Mg • Ca, intermediate HCO3-Na and deep HCO3−Na. Using the ion proportion coefficient method, it is found that Na+, Ca2+, and Mg2+ in the groundwater aquifer undergo cation exchange in the aquifer. According to the reverse hydrogeochemical simulation, gypsum in the three aquifers is in a dissolved state, carbonate and sulfide ores in the shallow layer are dissolved, dolomite and halite in the intermediate layer are dissolved, calcite and sulfide ores are precipitated and carbonate, halite and sulfide ores in the deep layer are precipitated; the hydrogeochemical evolution model is established to find that Ca2+ in groundwater displaces Na+ in the aqueous medium. This research can provide a scientific basis for the rational development and utilization of groundwater and ecological protection in the Yellow River Basin.

“…This makes the agriculture sector highly susceptible to drought, which is a recurrent phenomenon in most parts of the basin. Better characterization of drought and associated risks is vital for executing mitigation plans to lessen drought impact, particularly related to observed and anticipated climate changes in the region [43].…”

Section: Study Area and Datamentioning

confidence: 99%

“…Water 2022, 14, x FOR PEER REVIEW 4 of 18 executing mitigation plans to lessen drought impact, particularly related to observed and anticipated climate changes in the region [43].…”

Section: Study Area and Datamentioning

confidence: 99%

Analysis of Hydrologic Drought Frequency Using Multivariate Copulas in Shaying River Basin

Cui

Hao

et al. 2022

Droughts, considered one of the most dangerous and costly water cycle expressions, always occurs over a certain region, lasting several weeks or months, and involving multiple variables. In this work, a multivariate approach was used for the statistical characterization of hydrological droughts in Shaying River Basin with data from 1959–2008. The standard runoff index (SRI) and the run theory were employed to defined hydrological drought character variables (duration, severity, and intensity peak). Then, a multivariate joint probability analysis with four symmetric and corresponding asymmetric Archimedean Copulas was presented; and the multivariate frequency analysis with the joint return periods (Tand and Tor) were estimated. The results showed that the hydrological droughts have a severity of 4.79 and 5.09, and the drought intensity peak is of 1.35 and 1.50 in Zhoukou station and Luohe station, respectively; the rank correlation coefficients τ are more than 0.5, which means multivariate copulas can effectively describe the joint frequency distributions among multivariate variables. Drought risk shows a spatial variation: the downstream observed at Zhoukou station is characterized by a higher multivariate drought risk. In general, multivariate copulas provide a reliable method when constructing a comprehensive drought index and evaluating multivariate drought characteristics. Thus, this paper can provide useful indications for the multi-dimensional droughts’ risks assessment in Shaying River Basin.