LEADER 05510nam 2201369z- 450 001 9910637794203321 005 20231214132934.0 010 $a3-0365-5669-9 035 $a(CKB)5470000001631594 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/94482 035 $a(EXLCZ)995470000001631594 100 $a20202212d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aYellow River Basin Management under Pressure$ePresent State, Restoration and Protection 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (276 p.) 311 $a3-0365-5670-2 330 $aEcological protection and high-quality development in the basin of the Yellow River, known as China?s ?Mother River? and ?the cradle of Chinese civilization?, have been receiving increasing attention because of the important role they play in China?s economic and social development, and its cultural heritage. Under ongoing climate change and intense human activities, the Yellow River basin is facing crucial challenges, e.g., flooding, water security, water resource shortage, water pollution, and ecological environment degradation, which seriously affects the sustainable development of the regional economy and society. Meanwhile, significant differences in key characteristics across the upper, middle, and lower reaches call for joint management efforts, including integrated management, water conservancy, and ecological environment restoration. This Special Issue focusses on the current state, challenges, and suggestions relating to Yellow River basin management and sustainable development under pressure, aiming to help improve ecological protection and achieve high-quality development. The following topics, including the management, restoration and protection of the Yellow River basin, and harmonious regulation of the human?water relationship were systematically studied. 517 $aYellow River Basin Management under Pressure 606 $aBusiness strategy$2bicssc 606 $aManagement of specific areas$2bicssc 610 $aGini coefficient 610 $afairness principle 610 $adouble-level 610 $awater-saving potential 610 $aWeihe River basin 610 $aBudyko framework 610 $arunoff changes 610 $aclimate change 610 $aunderlying surface parameters 610 $ahuman activities 610 $aYellow River 610 $acultivated land 610 $aObject-Oriented Feature Extraction 610 $awheat 610 $acorn 610 $awater use level 610 $aSBM-DEA model 610 $awindow-DEA model 610 $aeconomic and social development 610 $amatching degree 610 $ayellow river basin 610 $awater-energy-food 610 $aharmony equilibrium 610 $aharmonious regulation 610 $athe Yellow River 610 $abank collapse 610 $asediment transportation 610 $anumerical simulation 610 $acurved channel 610 $acohesive 610 $across-sectional shape 610 $aasymmetry 610 $awater and sediment factor 610 $atransverse distribution 610 $awandering river channel 610 $aWuliangsuhai Lake 610 $aecological water demand 610 $aecological water supplement 610 $aecological function 610 $aheavy metals 610 $asediment interstitial water 610 $asediment 610 $achemical fraction 610 $aecological risk 610 $awater quality characteristics 610 $acause 610 $agroundwater 610 $amiddle and lower reaches of the Yellow River 610 $awater rights allocation 610 $acoordinated development 610 $awater-ecology-energy-food 610 $aemergy method 610 $aYinchuan city 610 $areturn period 610 $aPearson-III distribution 610 $a"7.20" rainstorm 610 $aYiluo River basin 610 $aXiaohua section 610 $asoil erosion 610 $ainfluencing factors 610 $aRUSLE 610 $athe optimal parameters-based geographical detector 610 $ascale effects 610 $athe Yellow River Basin 610 $aSanhe region 610 $aearly sites 610 $aspatial and temporal distribution 610 $ahuman-territorial relationship 610 $aGIS 610 $ahigh-quality development 610 $aenvironmental regulation 610 $alocal government competition 610 $apanel threshold regression model 610 $aYellow River basin 610 $athe ancient Yellow River distributary 610 $aearly settlements 610 $aaggregation characteristics 610 $aZhengzhou 615 7$aBusiness strategy 615 7$aManagement of specific areas 700 $aZuo$b Qiting$4edt$01290156 702 $aDing$b Xiangyi$4edt 702 $aCui$b Guotao$4edt 702 $aZhang$b Wei$4edt 702 $aZuo$b Qiting$4oth 702 $aDing$b Xiangyi$4oth 702 $aCui$b Guotao$4oth 702 $aZhang$b Wei$4oth 906 $aBOOK 912 $a9910637794203321 996 $aYellow River Basin Management under Pressure$93021363 997 $aUNINA LEADER 05176nam 2200733 a 450 001 9910817051503321 005 20240313135641.0 010 $a9781118307502 010 $a111830750X 010 $a9781299188686 010 $a1299188680 010 $a9781118307533 010 $a1118307534 010 $a9781118307526 010 $a1118307526 035 $a(CKB)2670000000327514 035 $a(EBL)1119801 035 $a(OCoLC)827208012 035 $a(MiAaPQ)EBC1119801 035 $a(DLC) 2012048634 035 $a(Au-PeEL)EBL1119801 035 $a(CaPaEBR)ebr10657930 035 $a(CaONFJC)MIL450118 035 $a(PPN)192205021 035 $a(OCoLC)807025790 035 $a(FINmELB)ELB177986 035 $a(Perlego)1003675 035 $a(EXLCZ)992670000000327514 100 $a20121130d2013 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aProblem solving and data analysis using Minitab $ea clear and easy guide to six sigma methodology /$fRehman M. Khan 205 $a1st ed. 210 $aChichester, West Sussex, U.K. $cWiley$d2013 215 $a1 online resource (485 p.) 300 $aIncludes index. 311 08$a9781118307571 311 08$a1118307577 327 $aCover; Title Page; Copyright; Contents; Acknowledgements; Chapter 1 Introduction; Chapter 2 Minitab Navigation; 2.1 Windows; 2.2 Dropdown Menus; 2.3 Importing Data; 2.4 Column Formats; 2.5 The Calculator; 2.6 Basic Graphs; 2.7 Adding Detail to Graphs; 2.8 Saving Graphs; 2.9 Dotplots; 2.10 Using the Brush; 2.11 Boxplots; 2.12 Bar Charts; 2.13 The Layout Tool; 2.14 Producing Graphs with the Assistant; 2.15 Producing Reports; 2.16 Creating a New Project/Worksheet Button; Chapter 3 Basic Statistics; 3.1 Types of Data; 3.2 Central Location; 3.3 Dispersion; 3.4 Descriptive Statistics 327 $a3.5 Inferential Statistics 3.6 Confidence Intervals; 3.7 Normal Distribution; 3.8 Deviations from Normality; 3.9 Central Limit Theorem; Chapter 4 Hypothesis Testing; 4.1 The Problem Statement; 4.2 Null and Alternate Hypotheses; 4.3 Establishing the Risks; 4.4 Power and Sample Size; 4.5 Conducting the Test and Evaluating the Results; 4.6 One Sample t Test; 4.7 Paired t Test; 4.8 Two Variance Test; 4.9 Two Sample t Test; Chapter 5 Analysis of Variance; 5.1 How ANOVA Works; 5.2 One Way ANOVA (Classic); 5.3 One Way ANOVA with the Assistant; 5.4 ANOVA General Linear Model 327 $aChapter 6 Measurement System Analysis 6.1 The Importance of Measurement Systems; 6.2 How Measurement Systems Affect Data; 6.3 Analysing the Appropriate Systems; 6.4 Types of Measurement Systems Error; 6.5 Measurement Systems Toolbox; 6.6 Type 1 Gage Study; 6.7 Gage Repeatability and Reproducibility Studies; 6.8 Create Gage R&R Study Worksheet; 6.9 Gage R&R (Crossed); 6.10 Gage R&R Crossed Studies; 6.11 Gage R&R (Crossed) Study; 6.12 Gage R&R (Nested); 6.13 Gage Bias and Linearity Study; Chapter 7 Statistical Process Control; 7.1 The Origins of Statistical Process Control 327 $a7.2 Common Cause and Special Cause Variation 7.3 Detection Rules for Special Causes; 7.4 False Alarms; 7.5 When Should We Use SPC Charts?; 7.6 Subgrouping; 7.7 The Appropriate Chart; 7.8 The I-MR Chart; 7.9 The Xbar-R Chart; 7.10 The Xbar-S Chart; 7.11 SPC Exercise; 7.12 The I-MR-R/S Chart; Chapter 8 Process Capability; 8.1 The Basics of Process Capability; 8.2 Short Term and Overall Capability; 8.3 Capability Analysis for Normal Data; 8.4 Capability Analysis for Non Normal Data; 8.5 Capability Comparison using the Assistant; Chapter 9 Correlation and Regression 327 $a9.1 What are Correlation and Regression? 9.2 Correlation; 9.3 Multiple Correlations; 9.4 Introduction to Regression; 9.5 Single Predictor Regression; 9.6 Introduction to Multiple Predictor Regression; 9.7 Multiple Predictor Regression; 9.8 Predictor Selection Procedure; 9.9 Nonlinear Regression; Chapter 10 Design of Experiment; 10.1 Why Use Design of Experiment?; 10.2 Types of DOE; 10.3 DOE Terminology; 10.4 Two Level Factorial Designs; 10.5 Fractional Factorial Designs; Chapter 11 Help; 11.1 Help Overview; 11.2 Help! Help!; 11.3 Tutorials; 11.4 StatGuide; 11.5 Methods and Formulas 327 $a11.6 Meet Minitab 330 $a"Problem Solving and Data Analysis using Minitab presents example based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving"--$cProvided by publisher. 606 $aMathematical statistics$xData processing 606 $aProblem solving$xStatistical methods 606 $aSix sigma (Quality control standard) 615 0$aMathematical statistics$xData processing. 615 0$aProblem solving$xStatistical methods. 615 0$aSix sigma (Quality control standard) 676 $a658.4/013028553 686 $aMAT029000$2bisacsh 700 $aKhan$b Rehman M$01724221 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910817051503321 996 $aProblem solving and data analysis using Minitab$94126135 997 $aUNINA