groundwater  is  about  950  million  m3;  under  the 
condition of a 40% reduction in precipitation and an 
increase in groundwater extraction along the line by 
15%, the groundwater level is generally stable, with 
an average increase of 0.93m compared with areas not 
affected  by  water  recharge,  and  in  some  areas  The 
quality of groundwater has improved.   
(2)  Using  the  analytic  hierarchy  process,  the 
groundwater recharge effect evaluation index system 
established  by  selecting  indicators  from  the  four 
aspects  of  water  quantity,  water  quality,  water 
ecology,  and  social  impact,  the  index  factors  are 
available  and  dynamic,  the  evaluation  method  has 
operability and simplicity, and the evaluation result is 
more comprehensive. 
(3) The evaluation grades of the water recharge 
effect of the Hutuo River, Nanjuma River and Fuyang 
River are "very good", "good", and "fair" respectively, 
the evaluation result is basically consistent with the 
actual water supplement effect, it is proved that the 
evaluation index system has certain applicability for 
groundwater  recharge  effect  evaluation,  and  it  can 
provide  theoretical  basis  and  technical  support  for 
water resources management evaluation. 
ACKNOWLEDGMENT   
This work was supported by the National Key R&D 
Program of China (Grant No. 2018YFE0106500). 
REFERENCES   
Bhagyawant,  R.  G.  (2008).  Studies  on  the  effect  of 
percolation  tank  in  augmenting  the  ground  water 
recharge. International Journal of Agricultural Science, 
4(1), 359-362.   
Cao,  Y.,  &  Shen,  Y.  F.  (2019).  Pore  Water  Vertical 
Chemistry  Distribution  and  Origin  Analysisin  Sino-
singapore Tianjin Eco-city. Journal of Jilin University 
(Earth Science Edition), 49(4), 1109-11120.   
Dillon, P. J. (2002). Management of Aquifer Recharge for 
Sustainability. Netherlands: A. A. Balkema Pubishers.  
Elango, L. (2015). Assessment of effect of recharge from a 
check dam as a method of Managed Aquifer Recharge 
by  hydrogeological  investigations.  Environmental 
Earth Sciences, 73(9), 5349-5361. 
Han, Z., & Shao, J. L. (2014). Preprocessing Optimization 
of  Groundwater  Flow  Model  Based  on  MODFLOW. 
Journal of Jilin University (Earth Science Edition), 
44(4), 1290-1296.   
Huang, G. R., &
 Hu, H. P. (2001). Research progress of 
artificial recharge of groundwater.  Zhwngzhou: 
Yellow River Water Conservancy Press. 
Lemer,  D.  N.,  &
  Issar,  A.  S.  (1990).  Groundwater 
Recharge.  A  Guide  to  Understanding  and  Estimating 
Natural  Recharge.  International Conteibution to 
Hydrogeology, Verlag Heinz Heise, 8, 345.  
Li, Y. F.,  & Zheng, S. Y. (2005) Study on reinjection of 
Yellow River. Xi’an: Shaanxi science and Technology 
Press.   
Liu, B., & Xiao, C. L. (2015). Application of Combining 
SOM  and  RBF  Neural  Network  Model  for 
Groundwater  Levels  Prediction.  Journal of Jilin 
University (Earth Science Edition), 45(1), 225-231.   
Sanford, W. (2002). Recharge and Groundwater Models, an 
Overview. Hydrogeology Journal, 10(1), 110-120.   
Sun,  Y.,  &  Miao,  L.  W.  (2001).  Ying,  Miao  Liwen. 
Investigation and  Prospect  Analysis  of artificial  deep 
well  reinjection  in  Beijing.  Hydrogeology& 
Engineering Geology, 1, 69-72.   
Yu,  J.  Y.,  &  Li,  Q.  F.  (2000).  The  present  situation  and 
preventive  measures  of  groundwater  overexploitation 
in Shanghai. Groundwater, 22(4), 143-147.  
Zhang,  Z.  Y., &Fei,  Z.  J.  (2012). Regional  Groundwater 
Contamination Assessment in  the North  China Plain. 
Journal of Jilin University (Earth Science Edition), 
09(5), 1456-1461.   
Zhuang, J. Q., & Zhang, J. B. (2013). Risk Assessment and 
Prediction  of  the  Shallow  Landslide  at  Different 
Precipitation  in  Loess  Plateau.  Journal of Jilin 
University (Earth Science Edition), 43(3), 867-875.   
Ziegler, A. C., Ross, H. C., Trombley, T. J., & Christensen, 
V. G. (2001). Effects of Artificial Recharge on Water 
Quality  in  the  Equus  Beds  Aquifer,  South-Central 
Kansas, 1995-2000. U.S. Geological Survey.