The Orange County Water District (OCWD) in California has been operating a Groundwater Replenishment System (GWRS, Figure 1) since 2008. The GWRS treats secondary effluent from a wastewater treatment plant (WWTP) for distribution to reinjection wells, spreading basins, and industrial users. Upstream of the reverse osmosis system (RO), the secondary effluent goes through a microfiltration proces...

Nitrate is one of the most abundant contaminants in groundwater globally, United States, and California (CA). We studied well construction information, water chemistry, stable isotopes, noble gases to understand how travel time recharge source mechanism control nitrate concentrations domestic wells San Joaquin Valley (SJV), CA, a large semiarid, irrigated agricultural region. Using nonparametri...

[1] Decision making in water resources management usually requires the quantification of uncertainties. Monte Carlo techniques are suited for this analysis but imply a huge computational effort. An alternative and computationally efficient approach is the first-order second-moment (FOSM) method which directly propagates parameter uncertainty into the result. We apply the FOSM method to both the...

Abstract Assessing groundwater recharge is crucial for managing and governing water resources in any region. Indus River Basin (IRB) an area that relies heavily on canal irrigation. The replenishment of largely dependent surface supplies. purpose this research to determine the amount from various sources Rachna Doab. study employed budget method calculate seasonal during Rabi (October–March) Kh...

Abstract Identifying the influence of heavy precipitation and ecological water replenishment (EWR) on groundwater resources is essential for management risk prevention. This study innovatively developed a resource analysis prediction model integrated with level fluctuation method, correlation analysis, machine learning method under EWR. Water results showed that compared January 1, 2021, area i...

inventory models play an important role in determining the optimal ordering and pricing policies. much work has been reported in literature regarding inventory models with finite or infinite replenishment. but in many practical situations the replenishment is governed by random factors like procurement, transportation, environmental condition, availability of raw material etc., hence, it is nee...