Study of the Optimization and Adjustment ofthe IndustrialStructure Subjected to Water Resource in the Drainage Area of the Yellow River

Since the 1990s, the Yellow River stream has been temporarily interrupted for several years, which affects the development of society, the economy and human life, limits the economic potential of the drainage areas, and especially causes great harm to regions on the lower reaches. Based on the analysis of the relationship between the development of society and economy and water scarcity, the author thinks it is necessary to optimize and adjust the industrial structure that has extravagantly consumed enormous amounts of water, and to develop ecological agriculture, industry and tourism which are balanced with the ecological environment. Finally, the author puts forward several pieces of advice and countermeasures about how to build the economic systems by which water can be used economically.

Cenozoic low temperature cooling history of the eastern Lhasa terrane:Implications for high-relief topography of external drainage area in the southern Tibetan Plateau

The Tibetan Plateau geographically contains internal and external drainage areas based on the distributions of river flows and catchments.The internal and external drainage areas display similar highelevations,while their topographic reliefs are not comparable;the former shows a large low-relief surface,whereas the latter is characterized by relatively high relief.The eastern Lhasa terrane is a key tectonic component of the Tibetan Plateau.It is characterized by high topography and relief,but the thermal history of its basement remains relatively poorly constrained.In this study we report new apatite fission track data from the eastern part of the central Lhasa terrane to constrain the thermo-tectonic evolution of the external drainage area in the southern Tibetan Plateau.Twenty-one new AFT ages and associated thermal history models reveal that the basement underlying the external drainage area in southern Tibet experienced three main phases of rapid cooling in the Cenozoic.The Paleocene-early Eocene(-60–48 Ma)cooling was likely induced by crustal shortening and associated rock exhumation,due to accelerated northward subduction of the NeoTethys oceanic lithosphere.A subsequent cooling pulse lasted from the late Eocene to early Oligocene(-40–28 Ma),possibly due to the thickening and consequential erosion of the Lhasa lithosphere resulted from the continuous northward indentation of the India plate into Eurasia.The most recent rapid cooling event occurred in the middle Miocene-early Pliocene(-16–4 Ma),likely induced by accelerated incision of the Lhasa River and local thrust faulting.Our AFT ages and published low-temperature thermochronological data reveal that the external drainage area experienced younger cooling events compared with the internal drainage area,and that the associated differentiated topographic evolution initiated at ca.30 Ma.The contributing factors for the formation of the high-relief topography mainly contain active surface uplift,fault activity,and the enhanced incision of the Yarlung River.

Study on detecting spatial distribution availability in mine goafs by ultra-high density electrical method

The purpose of this research is to explore the spatial distribution and influence range of the mined-out area of a coal mine in Hebei Province,the advantages of ultra-high density resistivity method,such as large data volume,high efficiency and high precision,are brought into full play,the abnormal patterns of dislocation and partial drainage area of shallow continuous aquifer caused by subsidence zone are detected,and then the spatial distribution patterns of subsidence and fractures caused by deep mining subsidence zone are deduced,this method not only extends the exploration range of high-density resistivity method in mining subsidence disaster assessment,but also improves the accuracy of measurement,the distribution and influence range of mined-out area are revealed accurately,and good exploration results have been obtained in this project.How to select reasonable geophysical prospecting methods and give full play to the role of geophysical prospecting methods according to the geological characteristics of the study area,this exploration work is not only a good combination of geophysical prospecting methods and actual geological conditions,it also provides a valuable reference version for the exploration work under the same geological conditions.

The natural basis of the formation of the dual-nuclei structural model

The dual-nuclei spatial structure is composed of a regional central city, a port city and their spat ial relations in certain regions. In general, this spatial structure c ould be found in most of the coastal regions or regions along big rivers. In terms of the mechanism, the dual-nuclei structure is the result of the s patial interaction and the complementary characteristics of the center city and the port city. The 'marginal function' of the port city and its relationship with the central city has long been discussed in th e literature. On the one hand, drainage area is the main natural geo graphical background of the formation of the dual-nuclei spatial structure; the refore, we can build a theoretical geographic structure that is based on the drainage area. On the other hand, vicissitude of the coastline al so has important influence on the formation of the dual-nuclei spatial structure. It is especially meaningful if we can notice this when w e examine deeply the research on the spatial structure of delta.

Determination of oil well production performance using artificial neural network (ANN) linked to the particle swarm optimization (PSO) tool

Greater complexity is involved in the transient pressure analysis of horizontal oil wells in contrast to vertical wells,as the horizontal wells are considered entirely horizontal and parallel with the top and underneath boundaries of the oil reserve.Therefore,there is an essential need to estimate productivity of horizontal wells accurately to examine the effectiveness of a horizontal well in terms of technical and economic prospects.In this work,novel and rigorous methods based on two different types of intelligent approaches including the artificial neural network(ANN)linked to the particle swarm optimization(PSO)tool are developed to precisely forecast the productivity of horizontal wells under pseudo-steady-state conditions.It was found that there is very good match between the modeling output and the real data taken from the literature,so that a very low average absolute error percentage is attained(e.g.,<0.82%).The developed techniques can be also incorporated in the numerical reservoir simulation packages for the purpose of accuracy improvement as well as better parametric sensitivity analysis.