Improving the Reliability of Numerical Groundwater Modeling in a Data-Sparse Region

Author： Du Xinqiang   Lu Xiangqin   Hou Jiawei   Ye Xueyan  

Publisher： MDPI

E-ISSN： 2073-4441|10|3|289-289

ISSN： 2073-4441

Source： Water, Vol.10, Iss.3, 2018-03, pp. : 289-289

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Estimation of Groundwater Recharge Using Tracers and Numerical Modeling in the North China Plain

By Wu Qinghua   Wang Guiling   Zhang Wei   Cui Haodong   Zhang Wei  

Water, Vol. 8, Iss. 8, 2016-08 ,pp. : 353-353

MDPI

Access to resources Recommend Favorite

Robot-Assisted Measurement for Hydrologic Understanding in Data Sparse Regions

By Young Sierra   Peschel Joshua   Penny Gopal   Thompson Sally   Srinivasan Veena  

Water, Vol. 9, Iss. 7, 2017-07 ,pp. : 494-494

MDPI

Access to resources Recommend Favorite

Groundwater Modeling and Sustainability of a Transboundary Hardrock–Alluvium Aquifer in North Oman Mountains

By Izady Azizallah   Abdalla Osman   Joodavi Ata   Chen Mingjie  

Water, Vol. 9, Iss. 3, 2017-02 ,pp. : 161-161

MDPI

Access to resources Recommend Favorite

Groundwater Data Management by Water Service Providers in Peri-Urban Areas of Lusaka

By Nussbaumer David   Sutton Ian   Parker Alison  

Water, Vol. 8, Iss. 4, 2016-04 ,pp. : 135-135

MDPI

Access to resources Recommend Favorite

Mid-Term Electricity Market Clearing Price Forecasting with Sparse Data: A Case in Newly-Reformed Yunnan Electricity Market

By Cheng Chuntian   Luo Bin   Miao Shumin   Wu Xinyu  

Energies, Vol. 9, Iss. 10, 2016-10 ,pp. : 804-804

MDPI

Access to resources Recommend Favorite