当代世界地质调查工作发展趋势

20世纪80年代以来，经济全球化的发展、高新技术的广泛应用、世界人口的迅速增长和环境问题的日益严峻，对地质调查工作产生了巨大的冲击，地质调查的驱动机制、主要任务和工作内容、技术手段、服务意识等都发生了很大的变化。总体趋势为：需求驱动——地质调查工作的驱动机制由传统的供给驱动型向需求驱动型转变；领域拓宽——地质调查的研究领域不断拓展，从以寻找、发现矿产资源为主的矿产资源型转变为兼顾资源与环境保护、灾害减轻的资源与环境并重的社会型；技术先导——地质调查的技术手段发生了根本性变化，地质调查传统的“老三件”正逐渐被“新三件”所替代；服务优先——地质调查的服务意识不断增强。     

Flow depletion in a small stream caused by ground water abstraction from wells

The interaction between a gaining stream and a water-table aquifer is studied at an outwash plain. The aquifer is hydraulically well connected to the stream. Pumping tests were carried out in 1997 and 1998 in two wells 60 m from the stream, screening different depths of the aquifer. Drawdown was measured on both sides of the stream. Hydraulic head, drawdown, and stream depletion data were analyzed using numerical flow models. Similar models were fitted to each of two different data sets: Model A was fitted to steady-state hydraulic head and streamflow gain data not influenced by pumping; and model B was fitted to drawdown data measured during the 1998 pumping test. Each calibrated model closely fits its calibration data; however, predictions were biased if model A was used to predict the calibration data of model B, and vice versa. To further test the models, they were used to predict streamflow depletion during the two pumping tests as well as the drawdown during the 1997 test. Neither of these data were used for calibration. Model A predicted the measured depletions fairly accurately during both tests, whereas the predicted drawdowns in 1997 were significantly larger than actually measured. Contrary to this, the 1997 drawdowns predicted by model B were nearly unbiased; the predicted depletions deviate significantly from the measured depletions in 1997, but they compare well with the observations in 1998. Thus, although field work and analyses were extensive and done carefully to develop a ground water flow model that could predict both drawdown and streamflow depletion, the model predictions are biased. Analyses indicate that the deviations between model and data may be because of error in the models' representations of either the release of water from storage or of the hydrology in the riparian zone.