Sub-surface model predictions and regulatory requirements

2010 ◽  
Vol 50 (2) ◽  
pp. 688
Author(s):  
Stephen Tyson
Keyword(s):  
Reservoir Management ◽  
Asia Pacific ◽  
Surface Model ◽  
Predictive Capability ◽  
Regulatory Requirements ◽  
Technical Requirements ◽  
Surface Models ◽  
Simple Question ◽  
Open Discussion ◽  
The Government

In recent years the construction of sub-surface models to understand complex systems has become almost ubiquitous. At the same time, societies have become more litigious and governments in the Asia-Pacific region have become more demanding in their technical requirements for exploration and development approvals. But most experienced geoscientists that really understand the capabilities of these models are much more sceptical about the predictive capability of reservoir modelling and acknowledge that even their best models are either highly subjective or quantified guesses. If reservoir models provide technical justification for investment decisions or, especially in the case of CO2 sequestration, decisions that may face future litigation, then it is important to be able to quantify their capabilities and to place reasonable limits on the expectations of these models. The simple question, ‘What is a good reservoir model?’ raises many different answers from a group of geoscientists, and yet if we are not clear on what a good model is, how can we conceptualise better models as distinct from worse models? Without clear guidelines for good models it is difficult to determine who is qualified to build a model or who is qualified to audit a model. In this situation, if authorities continue to increase their demands for models to support reservoir management decisions, then many months of effort will continue to be wasted in the construction of models with no numerical validity or predictive capability. One of the aims of this paper is to open discussion on these issues and to suggest areas where clear consensus needs to be established for the benefit of the industry, the Government and our society. Uncertainty in structural interpretation and uncertainty in deposition have a significant impact on good reservoir management for individual companies and on the wise management of national resources. The application of good modelling practices and appropriate validation by regulatory authorities is a sensible aim for our industry and one that has been overlooked for too long.

scholarly journals Exploring the Sensitivity of Photosynthesis and Stomatal Resistance Parameters in a Land Surface Model

2017 ◽  
Vol 18 (3) ◽  
pp. 897-915 ◽  
Author(s):  
Jennifer L. Jefferson ◽  
Reed M. Maxwell ◽  
Paul G. Constantine
Keyword(s):  
Land Surface ◽  
Stomatal Resistance ◽  
Hydrologic Model ◽  
Surface Model ◽  
Land Surface Models ◽  
Common Land Model ◽  
Surface Models ◽  
Input Parameters ◽  
Rate Of Photosynthesis ◽  
Quantities Of Interest

Abstract Land surface models, like the Common Land Model component of the ParFlow integrated hydrologic model (PF-CLM), are used to estimate transpiration from vegetated surfaces. Transpiration rates quantify how much water moves from the subsurface through the plant and into the atmosphere. This rate is controlled by the stomatal resistance term in land surface models. The Ball–Berry stomatal resistance parameterization relies, in part, on the rate of photosynthesis, and together these equations require the specification of 20 input parameters. Here, the active subspace method is applied to 2100 year-long PF-CLM simulations, forced by atmospheric data from California, Colorado, and Oklahoma, to identify which input parameters are important and how they relate to three quantities of interest: transpiration, stomatal resistance from the sunlit portion of the canopy, and stomatal resistance from the shaded portion. The slope (mp) and intercept (bp) parameters associated with the Ball–Berry parameterization are consistently important for all locations, along with five parameters associated with ribulose bisphosphate carboxylase/oxygenase (RuBisCO)- and light-limited rates of photosynthesis [CO2 Michaelis–Menten constant at 25°C (kc25), maximum ratio of oxygenation to carboxylation (ocr), quantum efficiency at 25°C (qe25), maximum rate of carboxylation at 25°C (vcmx25), and multiplier in the denominator of the equation used to compute the light-limited rate of photosynthesis (wj1)]. The importance of these input parameters, quantified by the active variable weight, and the relationship between the input parameters and quantities of interest vary seasonally and diurnally. Input parameter values influence transpiration rates most during midday, summertime hours when fluxes are large. This research informs model users about which photosynthesis and stomatal resistance parameters should be more carefully selected. Quantifying sensitivities associated with the stomatal resistance term is necessary to better understand transpiration estimates from land surface models.

Remittance inflows and starting a business

2017 ◽  
Vol 6 (3) ◽  
pp. 290-314 ◽  
Author(s):  
Durga Prasad Gautam
Keyword(s):  
Regulatory Reform ◽  
Regulatory Requirements ◽  
Content Type ◽  
Business Regulation ◽  
Variable Approach ◽  
Sensitivity Tests ◽  
The Government ◽  
Entry Regulations ◽  
Starting A Business

Purpose Political economy research recognizes that the inflows of external financial resources help the governments enact market-oriented reforms. Since remittances have outpaced other types of financial inflows in many countries, they can potentially increase the government’s incentive to implement regulatory reform that can contribute to business-friendly environment. This issue has long been overlooked by the literature on remittances. The purpose of this paper is to examine whether remittances promote business regulatory reform in the recipient countries. Design/methodology/approach This study uses balance of payments data on remittances for 114 countries during 2004-2012 period. Since remittances could be endogenous to business regulation, the identification strategy follows an instrumental variable approach. The author assesses the general stability of linear model estimates by fitting the beta regression model. Findings The results show that, while the increase in remittance inflows is associated with lower regulatory requirements for starting a business in the recipient economy, this association is stronger in developing countries than in high-income nations. Various sensitivity tests reinforce the robustness of these findings. Originality/value One of the most important yet overlooked aspects of remittances is that they can potentially shape the political will to enact regulatory reform for businesses. The incentives for the government to relax burdensome entry regulations tend to stem from potential gains associated with the formalization of remittances. This paper makes a first attempt at studying the link between remittances and the quality of entry regulation.

Yakut Governor Ivan Kraft and His Contribution to the Construction of the Amur-Yakutsk Highway at the Beginning of the 20th Century

2021 ◽  
pp. 94-97
Author(s):  
Lev M. Dameshek ◽  
◽  
Margarita D. Kushnareva ◽  
Keyword(s):  
20Th Century ◽  
Russian Federation ◽  
Interdisciplinary Approach ◽  
Research Problem ◽  
Strategic Decision ◽  
Asia Pacific ◽  
East Siberia ◽  
North East ◽  
The Russian Federation ◽  
The Government

The article considers the activities of Ivan Kraft, the governor of Yakutsk Oblast, on the incorporation of North-East Siberia into the single economic, administrative and sociocultural space of the Russian Empire. The aim of the study is to analyze Kraft's contribution to the construction and arrangement of the Amur-Yakutsk Highway at the beginning of the 20th century. To reach this aim, the authors broadly use archival sources that have not been previously published and introduced into academic discourse. The topic has theoretical and applied relevance. It has not been sufficiently studied in the historiography of North-East Siberia and is the subject of scholarly and political discussions. The key method in the study is an interdisciplinary approach to the research problem, which is at the intersection of history and economics. The authors used content analysis for a quantitative and qualitative study of these sources based on the principle of historicism and consistency. The authors determined that, in connection with the design of the Amur Railway, the Amur-Yakutsk Highway received the status of a strategic infrastructure object in the macroregion. The authors note that Kraft was the initiator of the construction of the route from Yakutsk to the Amur. The governor conducted a number of scientific and engineering surveys of the most convenient route and made applications for financing the construction of the highway. Kraft made a strategic decision to attract private companies with large capital for the construction. The Upper Amur Gold Mining Company and the Heirs of A. I. Gromova company helped build highway sections with a total length of more than 500 km, equip stations, establish telegraph communications, and construct river crossings. At the beginning of the 20th century, in the framework of modernization measures, Kraft considered Yakutsk Oblast as a mining region. This became the basis for raising the question of Yakutia's access to the Trans-Siberian Railway. The close cooperation of the government, in the person of Kraft, with large enterprises of the region was the basis for the project of constructing a railway line to Yakutsk. In conclusion, the authors note that the processes of incorporation of the Asian borderlands of Russia into the economic, administrative and sociocultural space of the state that Governor of Yakutsk Oblast Ivan Kraft began at the beginning of the 20th century were reflected in the modern policy of the Russian Federation. The Amur-Yakutsk Mainline was put into operation in 2015. At present, the problem of building a bridge across the Lena in the Yakutsk area is still relevant. In 2019, President of the Russian Federation Vladimir Putin signed orders to begin the construction of the bridge. This will create an international transit corridor between Europe and the Asia-Pacific region.

Developing a triple tree-ring constraint for tree growth and physiology in a global land surface model

2021 ◽  
Author(s):  
Jonathan Barichivich ◽  
Philippe Peylin ◽  
Valérie Daux ◽  
Camille Risi ◽  
Jina Jeong ◽  
...  
Keyword(s):  
Tree Ring ◽  
Land Surface ◽  
Forest Ecosystems ◽  
Ring Width ◽  
Land Surface Model ◽  
Surface Model ◽  
Growth Variability ◽  
Tree Ring Data ◽  
Surface Models ◽  
Global Land

<p>Gradual anthropogenic warming and parallel changes in the major global biogeochemical cycles are slowly pushing forest ecosystems into novel growing conditions, with uncertain consequences for ecosystem dynamics and climate. Short-term forest responses (i.e., years to a decade) to global change factors are relatively well understood and skilfully simulated by land surface models (LSMs). However, confidence on model projections weaken towards longer time scales and to the future, mainly because the long-term responses (i.e., decade to century) of these models remain unconstrained. This issue limits confidence on climate model projections. Annually-resolved tree-ring records, extending back to pre-industrial conditions, have the potential to constrain model responses at interannual to centennial time scales. Here, we constrain the representation of tree growth and physiology in the ORCHIDEE global land surface model using the simulated interannual variability of tree-ring width and carbon (Δ<sup>13</sup>C) and oxygen (δ<sup>18</sup>O) stable isotopes in six sites in boreal and temperate Europe.  The model simulates Δ<sup>13</sup>C (r = 0.31-0.80) and δ<sup>18</sup>O (r = 0.36-0.74) variability better than tree-ring width variability (r < 0.55), with an overall skill similar to that of other state-of-the-art models such as MAIDENiso and LPX-Bern. These results show that growth variability is not well represented, and that the parameterization of leaf-level physiological responses to drought stress in the temperate region can be improved with tree-ring data. The representation of carbon storage and remobilization dynamics is critical to improve the realism of simulated growth variability, temporal carrying over and recovery of forest ecosystems after climate extremes. The simulated physiological response to rising CO2 over the 20th century is consistent with tree-ring data in the temperate region, despite an overestimation of seasonal drought stress and stomatal control on photosynthesis. Photosynthesis correlates directly with isotopic variability, but correlations with δ<sup>18</sup>O combine physiological effects and climate variability impacts on source water signatures. The integration of tree-ring data (i.e. the triple constraint: width, Δ<sup>13</sup>C and δ<sup>18</sup>O) and land surface models as demonstrated here should contribute towards reducing current uncertainties in forest carbon and water cycling.</p>

scholarly journals Using Cosmic-Ray Neutron Probes in Validating Satellite Soil Moisture Products and Land Surface Models

Water ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1362 ◽  
Author(s):  
Mustafa Berk Duygu ◽  
Zuhal Akyürek
Keyword(s):  
Soil Moisture ◽  
Land Surface ◽  
Land Surface Model ◽  
Cosmic Ray ◽  
Surface Model ◽  
High Temporal Resolution ◽  
Land Surface Models ◽  
Statistical Measures ◽  
Surface Models ◽  
Global Land

Soil moisture content is one of the most important parameters of hydrological studies. Cosmic-ray neutron sensing is a promising proximal soil moisture sensing technique at intermediate scale and high temporal resolution. In this study, we validate satellite soil moisture products for the period of March 2015 and December 2018 by using several existing Cosmic Ray Neutron Probe (CRNP) stations of the COSMOS database and a CRNP station that was installed in the south part of Turkey in October 2016. Soil moisture values, which were inferred from the CRNP station in Turkey, are also validated using a time domain reflectometer (TDR) installed at the same location and soil water content values obtained from a land surface model (Noah LSM) at various depths (0.1 m, 0.3 m, 0.6 m and 1.0 m). The CRNP has a very good correlation with TDR where both measurements show consistent changes in soil moisture due to storm events. Satellite soil moisture products obtained from the Soil Moisture and Ocean Salinity (SMOS), the METOP-A/B Advanced Scatterometer (ASCAT), Soil Moisture Active Passive (SMAP), Advanced Microwave Scanning Radiometer 2 (AMSR2), Climate Change Initiative (CCI) and a global land surface model Global Land Data Assimilation System (GLDAS) are compared with the soil moisture values obtained from CRNP stations. Coefficient of determination ( r 2 ) and unbiased root mean square error (ubRMSE) are used as the statistical measures. Triple Collocation (TC) was also performed by considering soil moisture values obtained from different soil moisture products and the CRNPs. The validation results are mainly influenced by the location of the sensor and the soil moisture retrieval algorithm of satellite products. The SMAP surface product produces the highest correlations and lowest errors especially in semi-arid areas whereas the ASCAT product provides better results in vegetated areas. Both global and local land surface models’ outputs are highly compatible with the CRNP soil moisture values.

scholarly journals Evaluation of the snow regime in dynamic vegetation land surface models using field measurements

2013 ◽  
Vol 7 (3) ◽  
pp. 2333-2372
Author(s):  
E. Kantzas ◽  
M. Lomas ◽  
S. Quegan ◽  
E. Zakharova
Keyword(s):  
Land Surface ◽  
Field Data ◽  
Climate Models ◽  
Optimization Techniques ◽  
The Arctic ◽  
Surface Model ◽  
Land Surface Models ◽  
Snow Density ◽  
Data Set ◽  
Surface Models

Abstract. An increasing number of studies have demonstrated the significant climatic and ecological changes occurring in the northern latitudes over the past decades. As coupled, earth-system models attempt to describe and simulate the dynamics and complex feedbacks of the Arctic environment, it is important to reduce their uncertainties in short-term predictions by improving the description of both the systems processes and its initial state. This study focuses on snow-related variables and extensively utilizes a historical data set (1966–1996) of field snow measurements acquired across the extend of the Former Soviet Union (FSU) to evaluate a range of simulated snow metrics produced by a variety of land surface models, most of them embedded in IPCC-standard climate models. We reveal model-specific issues in simulating snow dynamics such as magnitude and timings of SWE as well as evolution of snow density. We further employ the field snow measurements alongside novel and model-independent methodologies to extract for the first time (i) a fresh snow density value (57–117 kg m–3) for the region and (ii) mean monthly snowpack sublimation estimates across a grassland-dominated western (November–February) [9.2, 6.1, 9.15, 15.25] mm and forested eastern sub-sector (November–March) [1.53, 1.52, 3.05, 3.80, 12.20] mm; we subsequently use the retrieved values to assess relevant model outputs. The discussion session consists of two parts. The first describes a sensitivity study where field data of snow depth and snow density are forced directly into the surface heat exchange formulation of a land surface model to evaluate how inaccuracies in simulating snow metrics affect important modeled variables and carbon fluxes such as soil temperature, thaw depth and soil carbon decomposition. The second part showcases how the field data can be assimilated with ready-available optimization techniques to pinpoint model issues and improve their performance.

scholarly journals Using data assimilation to optimize pedotransfer functions using large-scale in-situ soil moisture observations

2020 ◽  
Author(s):  
Elizabeth Cooper ◽  
Eleanor Blyth ◽  
Hollie Cooper ◽  
Rich Ellis ◽  
Ewan Pinnington ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Data Assimilation ◽  
Land Surface ◽  
Large Scale ◽  
Pedotransfer Functions ◽  
Surface Model ◽  
Climate Projections ◽  
Land Surface Models ◽  
Surface Models

Abstract. Soil moisture predictions from land surface models are important in hydrological, ecological and meteorological applications. In recent years the availability of wide-area soil-moisture measurements has increased, but few studies have combined model-based soil moisture predictions with in-situ observations beyond the point scale. Here we show that we can markedly improve soil moisture estimates from the JULES land surface model using field scale observations and data assimilation techniques. Rather than directly updating soil moisture estimates towards observed values, we optimize constants in the underlying pedotransfer functions, which relate soil texture to JULES soil physics parameters. In this way we generate a single set of newly calibrated pedotransfer functions based on observations from a number of UK sites with different soil textures. We demonstrate that calibrating a pedotransfer function in this way can improve the performance of land surface models, leading to the potential for better flood, drought and climate projections.

scholarly journals Developing a monograph book for teaching English skills to young learners in wetlands areas

2021 ◽  
Vol 2 (1) ◽  
pp. 18-26
Author(s):  
Dini Noor Arini ◽  
Raisa Fadilla
Keyword(s):  
Research And Development ◽  
Primary Schools ◽  
Teaching And Learning ◽  
Asia Pacific ◽  
Teaching English ◽  
Young Learners ◽  
Academic Settings ◽  
The Government ◽  
Suitable Reference ◽  
English Instruction

To enable Universitas Lambung Mangkurat (ULM) to become the Asia-Pacific centre for wetlands development in 2027, one of the efforts ULM makes is to raise awareness about the importance of optimising human resources in wetlands through research and development in the educational and cultural fields. English is considered a foreign language in Indonesia, allowing students to use the language outside of academic settings. English becomes a required subject in junior and senior high school; however, the government requires that English be taught in primary schools as a local topic. English, on the other hand, remains a mandatory subject in a large number of Indonesian primary schools, particularly in Banjarmasin. The issue arises in primary school English instruction because there is no clear guidance for teachers on how to teach English in an appropriate and engaging manner for the students. Due to the absence of a monograph book on teaching methods, teachers in some primary schools in Banjarmasin, particularly those located in wetland areas, have limited access to teaching English to young learners (EYL). In light of the university's policy and the critical nature of achieving teaching and learning objectives, as well as the absence of a suitable reference book for teaching EYL, this study aims to develop an appropriate monograph book on teaching techniques for students of young ages. The research and development design is chosen because it aims to create a product and meets the needs of the reference book's development. The results are expected to improve students' academic performance and to assist EYL teachers in wetland areas in conducting effective and meaningful teaching.

scholarly journals Canadian historical Snow Water Equivalent dataset (CanSWE, 1928–2020)

2021 ◽  
Author(s):  
Vincent Vionnet ◽  
Colleen Mortimer ◽  
Mike Brady ◽  
Louise Arnal ◽  
Ross Brown
Keyword(s):  
Newfoundland And Labrador ◽  
Land Surface ◽  
Snow Water Equivalent ◽  
Water Security ◽  
Monitoring And Evaluation ◽  
Surface Models ◽  
Snow Water ◽  
The Government ◽  
Different Sources

Abstract. In situ measurements of snow water equivalent (SWE) – the depth of water that would be produced if all the snow melted – are used in many applications including water management, flood forecasting, climate monitoring, and evaluation of hydrological and land surface models. The Canadian historical SWE dataset (CanSWE) combines manual and automated pan-Canadian SWE observations collected by national, provincial and territorial agencies as well as hydropower companies. Snow depth and derived bulk snow density are also included when available. This new dataset supersedes the previous Canadian Historical Snow Survey (CHSSD) dataset published by Brown et al. (2019), and this paper describes the efforts made to correct metadata, remove duplicate observations, and quality control records. The CanSWE dataset was compiled from 15 different sources and includes SWE information for all provinces and territories that measure SWE. Data were updated to July 2020 and new historical data from the Government of Northwest Territories, Government of Newfoundland and Labrador, Saskatchewan Water Security Agency, and Hydro Quebec were included. CanSWE includes over one million SWE measurements from 2607 different locations across Canada over the period 1928–2020. It is publicly available at https://doi.org/10.5281/zenodo.4734372 (Vionnet et al., 2021).

scholarly journals Development of mandatory & voluntary instruments of sustainability reporting (SR) according to carrots & sticks 2006 - 2016

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ririn Breliastiti
Keyword(s):  
Stock Exchange ◽  
Sustainability Reporting ◽  
Developed Countries ◽  
Asia Pacific ◽  
Annual Reports ◽  
Global Reporting Initiative ◽  
Environmental Reporting ◽  
Government Regulations ◽  
The World ◽  
The Government

Sustainability Report (SR) has become one of the main reports of the world's leading companies. In 2005, it was found that more than 250 top companies listed on the Fortune 500 had prepared SR separately from the Annual Report. The development of the number of SRs in each country varies. In the developed countries, awareness to compile and issue SR is supported by government regulations so that SR becomes mandatory. In developing countries, SR is still voluntary because there is still no regulation that requires companies to compile and issue SR. The Carrots & Sticks report, compiled and published by KPMG, United Nations Environment Program, Unit for Corporate Governance in Africa & the Global Reporting Initiative (GRI), provided details on the development of mandatory and voluntary instruments in implementing Sustainability Reporting (SR) in various Countries throughout the world from 2006 to 2016. Therefore, this research aims to find out the development of the mandatory and voluntary instruments (government policies) related to SR in the world. This type of research is a literature review. The research instrument used consists of a tabulation containing the development of the mandatory and voluntary instruments (government policy) related to SR in the world, then the researcher conducted an analysis of these findings. The results show that there is an increasing enthusiasm for the application of SR throughout the world. There is an increase in commitment and efforts to achieve transparency and accountability. In countries that have an interest in SR, there has been a significant development, such as 19 countries in 2006, 32 countries in 2010, 45 countries and regions in 2013, and 71 countries and regions in 2016. Indonesia is one of the countries in the Asia Pacific region that has given attention to SR and has its regulations. SR regulations have grown from 180 in 2013 to 400 in 2016, with government regulations dominating 80% of all regulations. Mandatory instruments dominate more than voluntary instruments. Application of SR 30% is for large companies that have been listed on the stock exchange. SR reporting by public companies has covered all sectors on the stock exchange. This development was greatly influenced by the role of the government which encouraged companies to disclose information about sustainability in their annual reports. "Social" reporting instruments show a faster development than "environmental" reporting instruments. 

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