2014
DOI: 10.1007/s13201-014-0240-4
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Analysis of spatial–temporal patterns of water table change as a tool for conjunctive water management in the Upper Central Plain of the Chao Phraya River Basin, Thailand

Abstract: A sustainable strategy for conjunctive water management must include information on the temporal and spatial availability of this natural resource. Because of water shortages in the dry seasons, farmers on the Upper Plain of the Chao Phraya River basin, Thailand, are increasingly using groundwater to meet their irrigation needs. To evaluate the possibilities of conjunctive water management in the area, the spatial-temporal changes in the water table of the Younger Terrace Aquifer were investigated. First, a re… Show more

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Cited by 8 publications
(3 citation statements)
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“…Water shortages have led to increasing groundwater demand in many parts of the world [15,48]. Groundwater abstraction has also become an important complementary water source in Thailand, and the water table has been found to decrease in several regions of the Younger Aquifer in the Upper Central Plain of the Chao Phraya River of Thailand [49].…”
Section: The Implications Of Change In Historical Drought Characteris...mentioning
confidence: 99%
“…Water shortages have led to increasing groundwater demand in many parts of the world [15,48]. Groundwater abstraction has also become an important complementary water source in Thailand, and the water table has been found to decrease in several regions of the Younger Aquifer in the Upper Central Plain of the Chao Phraya River of Thailand [49].…”
Section: The Implications Of Change In Historical Drought Characteris...mentioning
confidence: 99%
“…Além disso, devido à grande variação espacial dos dados referentes a água subterrânea, a krigagem destaca-se por ser um método não-determinístico, que, ao modelar também a magnitude ideal efeito pepita (nugget), cria uma superfície de interpolação suavizada com melhor capacidade de previsão dos resultados (MONTÉS, 1994). A krigagem tem sido amplamente utilizada na interpolação de dados de água subterrânea, com resultados satisfatórios, se comparados a outros métodos (GUNDOGDU; GUNEY, 2007;AHMADI e SEGHAMIZ;2008;MOSLEMZADEH et al, 2011;VASCONCELOS et al, 2017).…”
Section: Interpolação Dos Dadosunclassified
“…Srisuk and Nettasana (2017) was reviewed the climate change and groundwater resources in Thailand. There are lack of knowledge of groundwater recharge mechanism.…”
Section: Climate Change Impact On Groundwatermentioning
confidence: 99%